<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2022.836527</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Identifying Environmental Endocrine Disruptors Associated With the Age at Menarche by Integrating a Transcriptome-Wide Association Study With Chemical-Gene-Interaction Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lu</surname><given-names>Mengnan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Feng</surname><given-names>Ruoyang</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1396889"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qin</surname><given-names>Yujie</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Deng</surname><given-names>Hongyang</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lian</surname><given-names>Biyao</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yin</surname><given-names>Chunyan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xiao</surname><given-names>Yanfeng</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1383745"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Pediatrics, The Second Affiliated Hospital of Xi&#x2019;an Jiao Tong University</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Joint Surgery, HongHui Hospital, Xi&#x2019;an Jiao Tong University</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Renata Marino Romano, State University of Midwest Paran&#xe1;, Brazil</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Sally Mortlock, The University of Queensland, Australia; Maochun Wang, The Affiliated Hospital of Nanjing University Medical School, China; Paula Bargi-Souza, Federal University of Minas Gerais, Brazil</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yanfeng Xiao, <email xlink:href="mailto:xiaoyanfenggroup@sina.com">xiaoyanfenggroup@sina.com</email>; Chunyan Yin, <email xlink:href="mailto:286896173@qq.com">286896173@qq.com</email></p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Pediatric Endocrinology, a section of the journal Frontiers in Endocrinology</p>
</fn>
<fn fn-type="other" id="fn003">
<p>&#x2020;These authors share senior authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>02</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>836527</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Lu, Feng, Qin, Deng, Lian, Yin and Xiao</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Lu, Feng, Qin, Deng, Lian, Yin and Xiao</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Menarche is the first occurrence of menstrual bleeding and one of the most important events of female puberty. Alarmingly, over the last several decades, the mean age at menarche (AAM) has decreased. Environmental endocrine disruptors (EEDs) are chemicals that may interfere with the endocrine system, resulting in adverse developmental, immunological, neurological, and reproductive effects in humans. Thus, the effects of EEDs on fertility and reproduction are growing concerns in modern societies. In this study, we aimed to determine the influence of genetic and environmental factors on AAM. We used data from an AAM genome-wide association study of 329,345 women to conduct a transcriptome-wide association study (TWAS) with FUSION software. As references, we determined the gene-expression levels in the hypothalamus, pituitary gland, ovaries, uterus, and whole blood. We performed Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses using the significantly dysregulated genes identified by the TWAS. Using the STRING database, we also generated a protein&#x2013;protein-interaction network to analyze common AAM-specific genes identified by the TWAS with different tissues. We performed chemical-related gene set enrichment analysis (CGSEA) and identified significant TWAS genes to uncover relationships between different chemicals and AAM. The TWAS identified 9,848 genes; among these, 1580 genes were significant (<italic>P</italic> &lt; 0.05), and 11 genes were significant among the hypothalamus, pituitary, ovary, uterus, and whole blood. CGSEA identified 1,634 chemicals, including 120 chemicals significantly correlated with AAM. In summary, we performed a TWAS (for genetic factors) and CGSEA (for environmental factors) focusing on AAM and identified several AAM-associated genes and EEDs. The results of this study expand our understanding of genetic and environmental factors related to the onset of female puberty.</p>
</abstract>
<kwd-group>
<kwd>menarche</kwd>
<kwd>puberty</kwd>
<kwd>environmental endocrine disruptor</kwd>
<kwd>GWAS</kwd>
<kwd>TWAS</kwd>
<kwd>CGSEA</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="78"/>
<page-count count="12"/>
<word-count count="5052"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Puberty is a complex process occurring between childhood and adulthood, producing internal and external physical changes that promote the development of primary and secondary sexual characteristics important for sexual reproduction (<xref ref-type="bibr" rid="B1">1</xref>). Sex hormones are responsible for the physical manifestations of female puberty, including thelarche, pubarche, and menarche (<xref ref-type="bibr" rid="B2">2</xref>). Menarche is the first menstrual bleeding and one of the most important events of female puberty. Over the last several decades, the mean age at menarche (AAM) has declined, which is concerning (<xref ref-type="bibr" rid="B3">3</xref>). Epidemiological evidence suggests that the onset of puberty is advancing in humans through undetermined mechanisms (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Environmental endocrine disruptors (EEDs) are chemicals that interfere with the endocrine system and evoke adverse developmental, immunological, neurological, and reproductive effects in humans (<xref ref-type="bibr" rid="B5">5</xref>). EEDs are common in human living environments and include pesticides, plasticizers, industrial by-products, drugs, and some naturally occurring phytochemicals (<xref ref-type="bibr" rid="B6">6</xref>). These exogenous chemicals can interfere with the complex endocrine system, causing adverse health effects, such as reproductive disorders, metabolic diseases, and various cancers (<xref ref-type="bibr" rid="B7">7</xref>). Chronic exposure to EEDs may play a role in accelerating or delaying the onset of menarche, and extensive research has shown that pesticides, phenols, polycyclic aromatic hydrocarbons, phthalates, and some heavy metals are responsible for hormone metabolism disorders occurring during puberty (<xref ref-type="bibr" rid="B8">8</xref>). Consequently, the effects of EEDs on fertility and reproduction are a growing concern in modern societies (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Recent genome-wide association studies (GWASs) have identified thousands of genetic variants associated with complex phenotypes and have provided insights into their genetic architectures. GWASs are also extremely well-suited for identifying common single-nucleotide polymorphism (SNP)-based variants (<xref ref-type="bibr" rid="B10">10</xref>). GWAS analysis has been conducted to research early puberty and identify the genetic characteristics of idiopathic central precocious puberty and validate the polygenic risk for early puberty (<xref ref-type="bibr" rid="B11">11</xref>). Felix R Day et al. have identified 389 independent, genome-wide significant signals for AAM, which explained ~7.4% of the population variance in AAM and corresponded to ~25% of the estimated heritability (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Genetic loci cause trait variations, ranging from growth and fitness in simple organisms to disease in humans. Determining the genetics of gene-expression differences has emerged as a key approach for linking DNA-sequence variations to phenotypes (<xref ref-type="bibr" rid="B12">12</xref>). Transcriptome-wide association study (TWAS) analysis has been used to identify significant expression-trait associations by integrating genotypes, gene-expression levels, and phenotypes in order to gain insights into the genetic basis of complex traits (<xref ref-type="bibr" rid="B13">13</xref>). In a recent study, a TWAS was performed to discover transcriptome differences that affect the age of natural menopause (ANM), and 34 ANM-associated genes were reported (<xref ref-type="bibr" rid="B14">14</xref>). The hypothalamic&#x2013;pituitary&#x2013;gonadal axis controls puberty and reproduction (<xref ref-type="bibr" rid="B15">15</xref>). Therefore, investigating the associated gene-regulation relationships may help identify important genes that are co-expressed in all tissue types during AAM.</p>
<p>Here, we aimed to determine the influences of genetic and environmental factors on AAM by performing a large-scale TWAS for AAM based on a GWAS data set. We investigated gene-expression levels in the hypothalamus, pituitary gland, ovaries, uterus, and whole blood. We also reevaluated the expression of TWAS-identified genes, functionally explored the genes, and identified AAM-associated EEDs.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Summary of the AAM GWAS Data Used in This Study</title>
<p>We used published GWAS summary data for female AAM (<xref ref-type="bibr" rid="B16">16</xref>). Briefly, Day et al. performed a meta-analysis of pooled GWAS data from multiple studies of 329,345 women of European ancestry, including 40 studies from the ReproGen consortium (<italic>N</italic> = 179,117), 23andMe (<italic>N</italic> = 76,831), and the United Kingdom Biobank (<italic>N</italic> = 73,397). The results were grouped into the relatively sparse HapMap 2 reference panel or attributed to the 1000 Genomes Project reference panel using gene-centric arrays. In each study, the associations of SNPs with AAM were based on a two-tailed additive linear-regression model and several factors, including the age at the study visit and other study-specific covariates. Day et al. performed an expanded genomic analysis of AAM in women that was nearly three times larger and used denser genomic data than previous studies. Information on the subjects, genotypes, responsibilities, and quality control were detailed in the published study (<xref ref-type="bibr" rid="B16">16</xref>). In addition, ethical approval was not applicable for this study as publicly available data were used for the analysis.</p>
</sec>
<sec id="s2_2">
<title>TWAS Analysis</title>
<p>We used FUSION (<xref ref-type="bibr" rid="B13">13</xref>) software (<uri xlink:href="http://gusevlab.org/projects/fusion/">http://gusevlab.org/projects/fusion/</uri>) to analyze the GWAS summary data for the previous meta-analysis of AAM. The most popular TWAS methods, such as PrediXcan, TWAS-Fusion, and SMR, test causal relationships between gene-expression levels and complex traits (<xref ref-type="bibr" rid="B17">17</xref>), among which, the TWAS-Fusion method is used more often. Briefly, Bayesian sparse linear-mixed models (<xref ref-type="bibr" rid="B18">18</xref>) were used to calculate SNP expression weights for specific genes at the 1-Mb cis position and estimate the association of predicted expression levels with AAM using the following formula: Ztwas = w + Z/(w &#xd7; [Lw]<sup>1/2</sup>) (<xref ref-type="bibr" rid="B13">13</xref>), where w denotes the weight, Z denotes the Z-score, and L denotes the SNP correlation matrix (definition, LD). We used the gene-expression weights for the hypothalamus (N samples = 108; N features = 2,315), pituitary (N samples = 157; N features = 4,402), ovary (N samples = 122; N features = 2,809), uterus (N samples = 101; N features = 2,135), and whole blood (N samples = 1,264; N features = 4,701) as references, which are available for download from the FUSION website (<uri xlink:href="http://gusevlab.org/projects/fusion/">http://gusevlab.org/projects/fusion/</uri>). We estimated the transcriptome-wide significance as P = 5.08 &#xd7; 10<sup>&#x2212;6</sup> (0.05/9,848) using the Bonferroni correction (<xref ref-type="bibr" rid="B14">14</xref>). Manhattan plot was made by &#x201c;CMplot&#x201d;(v. 3.6.2) in R package.</p>
</sec>
<sec id="s2_3">
<title>Functional Exploration of Genes</title>
<p>We performed Kyoto Encyclopedia of Genes and Genomes (KEGG) (<xref ref-type="bibr" rid="B19">19</xref>) and Gene Ontology (GO) (<xref ref-type="bibr" rid="B20">20</xref>) enrichment analyses to identify and confirm related biological processes. KEGG and GO enrichment were performed using the R packages &#x201c;org.Hs.eg.db&#x201d; and &#x201c;clusterProfiler&#x201d; (R Foundation for Statistical Computing, Vienna, Austria. <uri xlink:href="https://www.R-project.org/">https://www.R-project.org/</uri>).</p>
</sec>
<sec id="s2_4">
<title>Interaction-Network Analysis</title>
<p>We generated a protein&#x2013;protein-interaction (PPI) network using the STRING database, v11.5 (STRING, <uri xlink:href="https://string-db.org">https://string-db.org</uri>), requiring a confidence score of 0.15 and &#x201c;active interaction sources&#x201d; based on a previous study (<xref ref-type="bibr" rid="B21">21</xref>). Cytoscape (<xref ref-type="bibr" rid="B22">22</xref>) was used to visualize all interaction networks, and the Molecular Complex Detection (MCODE) plugin (<xref ref-type="bibr" rid="B23">23</xref>) was used for module analysis.</p>
</sec>
<sec id="s2_5">
<title>Chemical Gene Expression Annotation Data Set</title>
<p>The chemical-related gene-expression annotation data set used in this study was downloaded from the Comparative Toxicology Genomics Database (CTD) (<uri xlink:href="http://ctdbase.org/downloads/">http://ctdbase.org/downloads/</uri>). The CTD mainly provides four data sets, including a chemical&#x2013;gene-interaction function, a chemical&#x2013;disease association, a genetic disease association, and a chemical element-phenotypic association. The CTD integrates the four data sets to automatically construct a hypothetical chemical&#x2013;gene phenotype disease network to illustrate the molecular mechanisms underlying diseases that affect the environment (<xref ref-type="bibr" rid="B24">24</xref>). Cheng et al. downloaded and used 1,788,149 chemical&#x2013;gene pair annotation terms for humans and mice, generating 11,190 chemical substance-related gene sets (<xref ref-type="bibr" rid="B25">25</xref>). We also used that data set to perform our chemical-related gene set enrichment analysis (CGSEA).</p>
</sec>
<sec id="s2_6">
<title>CGSEA</title>
<p>CGSEA is a flexible tool for assessing associations between chemicals and complex diseases. Briefly, the software uses genome-wide summary data (e.g., a summary of the TWAS data and messenger RNA [mRNA]-expression profiles) to explore functional relationships among chemical substances and diseases from a genomics perspective, for many complex diseases and characteristics. We used the CTD Chemical Gene Interaction Network and TWAS Expression Association to test the AAM statistics and weighted Kolmogorov&#x2013;Smirnov running sum statistics to explore the relationships between chemicals and AAM, as described previously in greater detail (<xref ref-type="bibr" rid="B26">26</xref>). Specifically, in this study, we performed 10,000 permutations to obtain the empirical distribution of the gene set enrichment analysis (GSEA) statistical data for each chemical and then calculated the <italic>P</italic>-value of each chemical based on the empirical distribution of the CGSEA statistical data. Based on previous findings, we excluded gene sets containing &lt;10 or &gt;200 genes to limit the influence of gene set sizes on the results (<xref ref-type="bibr" rid="B27">27</xref>). To avoid deviations from expression correlations between genes, a package of lme4qtl software (<xref ref-type="bibr" rid="B28">28</xref>) was used to adapt the mixed-model regression of the TWAS Z-score based on the number of members in each gene set, in order to consider the correlation of the Z-score between genes caused by LD (<xref ref-type="bibr" rid="B28">28</xref>). A detailed description of the analytical method used was provided previously (<xref ref-type="bibr" rid="B25">25</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>TWAS Analysis of AAM</title>
<p>TWAS analysis identified 9,848 genes from the GWAS summary data and of those 1,580 genes expression was associated with AAM (P &lt;0.05) while 64 showed a significant association (P &lt;5.08 &#xd7; 10<sup>&#x2212;6</sup>); 2,289 genes tested in hypothalamus and of 322 genes expression was associated with AAM (P &lt;0.05) while 8 showed a significant association (P &lt;5.08 &#xd7; 10<sup>-6</sup>; <xref ref-type="fig" rid="f1"><bold>Figure 1A</bold></xref>), 4,362 genes tested in pituitary and of 568 genes expression was associated with AAM (P &lt;0.05) while 26 showed a significant association (P &lt;5.08 &#xd7; 10<sup>&#x2212;6</sup>; <xref ref-type="fig" rid="f1"><bold>Figure 1B</bold></xref>), 2,768 genes tested in ovary and of 366 genes expression was associated with AAM (P &lt;0.05) while 14 showed a significant association (P &lt;5.08 &#xd7; 10<sup>&#x2212;6</sup>; <xref ref-type="fig" rid="f1"><bold>Figure 1C</bold></xref>), 2,104 genes tested in uterus and of 253 genes expression was associated with AAM (P &lt;0.05) while 7 showed a significant association (P &lt;5.08 &#xd7; 10<sup>&#x2212;6</sup>; <xref ref-type="fig" rid="f1"><bold>Figure 1D</bold></xref>), and 4,671 genes tested in whole blood and of 604 genes expression was associated with AAM (P &lt;0.05) while 9 showed a significant association (P &lt;5.08 &#xd7; 10<sup>&#x2212;6</sup>; <xref ref-type="fig" rid="f1"><bold>Figure 1E</bold></xref>), respectively (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Information</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure 1</label>
<caption>
<p>Manhattan plots of the association results from the AAM TWAS. The dashed horizontal lines represent P = 5.00 &#xd7; 10<sup>&#x2212;2</sup>. The solid horizontal lines represent P = 5.00 &#xd7; 10<sup>&#x2212;6</sup> (Bonferroni correction). Each dot represents the genetically predicted expression of one specific gene in the hypothalamus, pituitary gland, ovary, uterus, and whole blood tissues. The X axis represents the chromosome (Chr) encoding the corresponding gene, and the Y axis represents the negative logarithm of the association <italic>P <sub>TWAS</sub></italic> value. <bold>(A)</bold> Gene-expression weights for the hypothalamus. <bold>(B)</bold> Gene-expression weights for the pituitary gland. <bold>(C)</bold> Gene-expression weights for the ovaries. <bold>(D)</bold> Gene-expression weights for the uterus. <bold>(E)</bold> Gene-expression weights for whole blood.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-836527-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Functional Exploration of TWAS-Identified Genes Associated With AAM</title>
<p>Tissues have unique gene-expression profiles. Thus, we performed an overlap analysis of the significant genes in different tissues to identify the most representative genes. <xref ref-type="fig" rid="f2"><bold>Figure 2A</bold></xref> shows the resulting Venn diagram, which indicates the number of genes expressed in one or more tissues. Overall, 163 TWAS-identified significant AAM-specific genes were associated with the hypothalamus: 38 significant genes were associated with the hypothalamus and pituitary gland; 7 significant genes were associated with the hypothalamus, pituitary, and ovary; and 11 significant genes were associated with the hypothalamus, pituitary, ovary, uterus, and whole blood. The 11 novel TWAS-significant AAM-susceptible genes identified in all five tissues were <italic>RBM6</italic> (RNA-binding motif protein 6; chromosome 3), <italic>PILRB</italic> (paired immunoglobin-like type 2 receptor beta; chromosome 7), <italic>CPSF1</italic> (cleavage and polyadenylation-specific factor 1; chromosome 8), <italic>INPP5E</italic> (inositol polyphosphate-5-phosphatase E; chromosome 9), <italic>MRPL43</italic> (mitochondrial ribosomal protein L43; chromosome 10), <italic>HSD17B12</italic> (hydroxysteroid-(17-&#x3b2;)-dehydrogenase 12; chromosome 11), <italic>TIPIN</italic> (TIMELESS-interacting protein; chromosome 15), <italic>FLYWCH1</italic> (FLYWCH-type zinc finger 1; chromosome 16), <italic>EXOSC6</italic> (exosome component 6; chromosome 16), <italic>ADORA2B</italic> (adenosine A2b receptor; chromosome 17), and <italic>SPATA20</italic> (spermatogenesis-associated 20; chromosome 17). <xref ref-type="table" rid="T1"><bold>Table 1</bold></xref> presents detailed information regarding these 11 genes, including the rsIDs of the most significant (i.e., best) GWAS SNPs in the locus (i.e., BEST.GWAS.ID) and the TWAS <italic>P</italic>-value (i.e., <italic>P <sub>TWAS</sub></italic>).</p>
<fig id="f2" position="float">
<label>Figure 2</label>
<caption>
<p>Functional exploration of the TWAS-identified genes associated with AAM. <bold>(A)</bold> Venn diagram revealing the overlap of TWAS-significant genes in different tissues. Red, hypothalamus; green, pituitary gland; purple, ovaries orange, uterus; blue, whole blood. <bold>(B)</bold> Bar plot of enriched GO terms for the overlapping genes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-836527-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>Significant TWAS-identified genes associated with AAM in all five tissues studied.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Gene</th>
<th valign="top" rowspan="2" align="center">BEST.GWAS.ID</th>
<th valign="top" colspan="5" align="center"><italic>P <sub>TWAS</sub></italic></th>
</tr>
<tr>
<th valign="top" align="left">Hypothalamus</th>
<th valign="top" align="center">Pituitary gland</th>
<th valign="top" align="center">Ovary</th>
<th valign="top" align="center">Uterus</th>
<th valign="top" align="center">Whole blood</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">RBM6</td>
<td valign="top" align="left">rs3905330</td>
<td valign="top" align="center">0.00271</td>
<td valign="top" align="center">0.00009</td>
<td valign="top" align="center">0.00041</td>
<td valign="top" align="center">0.00041</td>
<td valign="top" align="center">0.00303</td>
</tr>
<tr>
<td valign="top" align="left">PILRB</td>
<td valign="top" align="left">rs2950520</td>
<td valign="top" align="center">0.02887</td>
<td valign="top" align="center">0.03400</td>
<td valign="top" align="center">0.02900</td>
<td valign="top" align="center">0.03800</td>
<td valign="top" align="center">0.03621</td>
</tr>
<tr>
<td valign="top" align="left">CPSF1</td>
<td valign="top" align="left">rs35253356</td>
<td valign="top" align="center">0.00528</td>
<td valign="top" align="center">0.01188</td>
<td valign="top" align="center">0.01056</td>
<td valign="top" align="center">0.02224</td>
<td valign="top" align="center">0.01915</td>
</tr>
<tr>
<td valign="top" align="left">INPP5E</td>
<td valign="top" align="left">rs10448340</td>
<td valign="top" align="center">0.03503</td>
<td valign="top" align="center">0.02700</td>
<td valign="top" align="center">0.01299</td>
<td valign="top" align="center">0.04100</td>
<td valign="top" align="center">0.01770</td>
</tr>
<tr>
<td valign="top" align="left">MRPL43</td>
<td valign="top" align="left">rs11190901</td>
<td valign="top" align="center">0.00014</td>
<td valign="top" align="center">0.00017</td>
<td valign="top" align="center">0.00030</td>
<td valign="top" align="center">0.00038</td>
<td valign="top" align="center">0.00070</td>
</tr>
<tr>
<td valign="top" align="left">HSD17B12</td>
<td valign="top" align="left">rs6485443</td>
<td valign="top" align="center">0.00272</td>
<td valign="top" align="center">0.00061</td>
<td valign="top" align="center">0.00316</td>
<td valign="top" align="center">0.00089</td>
<td valign="top" align="center">0.00368</td>
</tr>
<tr>
<td valign="top" align="left">TIPIN</td>
<td valign="top" align="left">rs2113688</td>
<td valign="top" align="center">0.00420</td>
<td valign="top" align="center">0.00902</td>
<td valign="top" align="center">0.00147</td>
<td valign="top" align="center">0.00420</td>
<td valign="top" align="center">0.02590</td>
</tr>
<tr>
<td valign="top" align="left">FLYWCH1</td>
<td valign="top" align="left">rs1834026</td>
<td valign="top" align="center">0.01500</td>
<td valign="top" align="center">0.01500</td>
<td valign="top" align="center">0.00772</td>
<td valign="top" align="center">0.01210</td>
<td valign="top" align="center">0.02630</td>
</tr>
<tr>
<td valign="top" align="left">EXOSC6</td>
<td valign="top" align="left">rs7196842</td>
<td valign="top" align="center">0.00019</td>
<td valign="top" align="center">0.00075</td>
<td valign="top" align="center">0.00003</td>
<td valign="top" align="center">0.00001</td>
<td valign="top" align="center">0.00002</td>
</tr>
<tr>
<td valign="top" align="left">ADORA2B</td>
<td valign="top" align="left">rs178837</td>
<td valign="top" align="center">0.01740</td>
<td valign="top" align="center">0.00027</td>
<td valign="top" align="center">0.00027</td>
<td valign="top" align="center">0.00027</td>
<td valign="top" align="center">0.00110</td>
</tr>
<tr>
<td valign="top" align="left">SPATA20</td>
<td valign="top" align="left">rs989128</td>
<td valign="top" align="center">0.02210</td>
<td valign="top" align="center">0.04920</td>
<td valign="top" align="center">0.03560</td>
<td valign="top" align="center">0.00639</td>
<td valign="top" align="center">0.00593</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>We subjected the TWAS-identified genes to GO analysis (<xref ref-type="fig" rid="f2"><bold>Figure 2B</bold></xref>). Five enriched GO terms belonged to the biological process (BP) category, including cell cycle DNA replication, long-chain fatty-acyl-CoA metabolic process, DNA replication checkpoints, estrogen biosynthetic processes, and positive regulation of immune effector processes. Three significantly enriched GO terms belonged to the cellular component (CC) category, including the mRNA cleavage factor complex, mRNA cleavage and polyadenylation specificity factor complex, and nuclear exosome (RNase complex). In terms of the molecular function (MF) category, the enriched GO terms primarily involved estrogen metabolism (such as steroid dehydrogenase activity or steroid dehydrogenase activity acting on the CH-OH group of donors), nicotinamide adenine dinucleotide or nicotinamide adenine dinucleotide phosphate as an acceptor, and estradiol 17-beta-dehydrogenase activity.</p>
</sec>
<sec id="s3_3">
<title>PPI Network of the TWAS-Identified Genes</title>
<p>We used 1,580 TWAS-significant AAM-associated genes for PPI analysis and successfully transformed 1,056 protein-coding genes (<xref ref-type="fig" rid="f3"><bold>Figure 3A</bold></xref>). To effectively find densely connected regions of the PPI network, we formed seven MCODE clusters with the PPI network genes (<xref ref-type="fig" rid="f3"><bold>Figures 3B&#x2013;H</bold></xref>). The hub genes identified using the MCODE plugin were further analyzed for functional exploration. MCODE cluster 1 (MCODE1) was related to ribosome biogenesis, female pregnancy, and blastocyst development. MCODE2 was characterized by genes in the human leukocyte antigen (<italic>HLA</italic>) family associated with the immune process. MCODE3, MCODE4, and MCODE5 were related to tRNA, energy metabolism processes, and biosynthetic processes. MCODE6 was associated with lipid oxidation and maternal processes involved in female pregnancy. MCODE7 contained some important significantly enriched terms, including fatty acid metabolic, gonadotropin-releasing hormone (GnRH), estrogen, oxytocin, and PI3K-Akt signaling pathways and breast cancer.</p>
<fig id="f3" position="float">
<label>Figure 3</label>
<caption>
<p>PPI network and significant modules. Red and blue circles indicate upregulated and downregulated TWAS-identified genes. <bold>(A)</bold> PPI network of the TWAS-identified genes. <bold>(B-H)</bold> Significant modules 1 to 7 of the PPI network and their functional exploration. GeneRatio: the ratio of the number of genes associated with a term linked to an enriched gene to the total number of enriched genes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-836527-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>CGSEA of the TWAS-Identified Genes</title>
<p>We performed CGSEA to investigate environmental factors that influence the onset of puberty, which identified 1,634 chemicals, including 120 chemicals that correlated significantly with AAM. These significant chemicals included some drugs (e.g., fluoxetine), pesticides (e.g., ametryne), plant extracts (e.g., isoflavones), nutrients (e.g., cholesterol), phenols (e.g., cannabidiol), phthalates (e.g., monobutyl phthalate), heavy metals (e.g., uranium), and atmospheric pollutants (e.g., phosgene). <xref ref-type="fig" rid="f4"><bold>Figure 4</bold></xref> illustrates our constructed network of EEDs and their target genes based on the TWAS-identified genes. Chemical with absolute normalize enrichment score (NES) values of &gt;1 were considered significantly enriched according to GSEA. We identified 77 significantly enriched chemicals with an |NES| value of &gt;1 and a P-value of &lt;0.05 (<xref ref-type="table" rid="T2"><bold>Table 2</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure 4</label>
<caption>
<p>CGSEA results. Network of EEDs and their target genes, based on the TWAS-identified genes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-836527-g004.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>Significant chemicals identified by CGSEA of the significant TWAS-identified AAM-associated genes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Chemical name</th>
<th valign="top" align="center">NES</th>
<th valign="top" align="center">P</th>
<th valign="top" align="center">Chemical name</th>
<th valign="top" align="center">NES</th>
<th valign="top" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Chlorine</td>
<td valign="top" align="center">12.35459</td>
<td valign="top" align="center">0.00050</td>
<td valign="top" align="left">Acetaldehyde</td>
<td valign="top" align="center">3.24524</td>
<td valign="top" align="center">0.01399</td>
</tr>
<tr>
<td valign="top" align="left">Fluoxetine</td>
<td valign="top" align="center">8.68168</td>
<td valign="top" align="center">0.00050</td>
<td valign="top" align="left">Heliotrine</td>
<td valign="top" align="center">2.50818</td>
<td valign="top" align="center">0.01449</td>
</tr>
<tr>
<td valign="top" align="left">Proton pump inhibitors</td>
<td valign="top" align="center">63.99450</td>
<td valign="top" align="center">0.00050</td>
<td valign="top" align="left">Pseudocumene</td>
<td valign="top" align="center">3.38592</td>
<td valign="top" align="center">0.01499</td>
</tr>
<tr>
<td valign="top" align="left">Fexofenadine</td>
<td valign="top" align="center">18.12249</td>
<td valign="top" align="center">0.00100</td>
<td valign="top" align="left">Chlordecone</td>
<td valign="top" align="center">2.98902</td>
<td valign="top" align="center">0.01499</td>
</tr>
<tr>
<td valign="top" align="left">Torcetrapib</td>
<td valign="top" align="center">7.28264</td>
<td valign="top" align="center">0.00150</td>
<td valign="top" align="left">Gefitinib</td>
<td valign="top" align="center">1.74158</td>
<td valign="top" align="center">0.01549</td>
</tr>
<tr>
<td valign="top" align="left">Methylmethacrylate</td>
<td valign="top" align="center">6.88844</td>
<td valign="top" align="center">0.00250</td>
<td valign="top" align="left">Cholesterol</td>
<td valign="top" align="center">2.32618</td>
<td valign="top" align="center">0.01599</td>
</tr>
<tr>
<td valign="top" align="left">Chromous chloride</td>
<td valign="top" align="center">8.16988</td>
<td valign="top" align="center">0.00350</td>
<td valign="top" align="left">N-nitroso-tris-chloroethylurea</td>
<td valign="top" align="center">2.92314</td>
<td valign="top" align="center">0.01649</td>
</tr>
<tr>
<td valign="top" align="left">Thalidomide</td>
<td valign="top" align="center">4.83989</td>
<td valign="top" align="center">0.00350</td>
<td valign="top" align="left">Methylmercury cysteine</td>
<td valign="top" align="center">1.12554</td>
<td valign="top" align="center">0.01799</td>
</tr>
<tr>
<td valign="top" align="left">Pentosan sulfuric polyester</td>
<td valign="top" align="center">5.33529</td>
<td valign="top" align="center">0.00400</td>
<td valign="top" align="left">Pyrene</td>
<td valign="top" align="center">2.66545</td>
<td valign="top" align="center">0.01799</td>
</tr>
<tr>
<td valign="top" align="left">Anacardic acid</td>
<td valign="top" align="center">4.53182</td>
<td valign="top" align="center">0.00450</td>
<td valign="top" align="left">Dehydroxymethylepoxyquinomicin</td>
<td valign="top" align="center">1.58757</td>
<td valign="top" align="center">0.01799</td>
</tr>
<tr>
<td valign="top" align="left">Calcimycin</td>
<td valign="top" align="center">5.92628</td>
<td valign="top" align="center">0.00450</td>
<td valign="top" align="left">Casticin</td>
<td valign="top" align="center">2.55138</td>
<td valign="top" align="center">0.01899</td>
</tr>
<tr>
<td valign="top" align="left">Palbociclib</td>
<td valign="top" align="center">2.05821</td>
<td valign="top" align="center">0.00550</td>
<td valign="top" align="left">Squalestatin 1</td>
<td valign="top" align="center">2.60788</td>
<td valign="top" align="center">0.01949</td>
</tr>
<tr>
<td valign="top" align="left">Temozolomide</td>
<td valign="top" align="center">4.66128</td>
<td valign="top" align="center">0.00550</td>
<td valign="top" align="left">Periodate-oxidized adenosine</td>
<td valign="top" align="center">2.80821</td>
<td valign="top" align="center">0.01999</td>
</tr>
<tr>
<td valign="top" align="left">Uranyl acetate</td>
<td valign="top" align="center">3.30552</td>
<td valign="top" align="center">0.00600</td>
<td valign="top" align="left">Isoflavones</td>
<td valign="top" align="center">2.19951</td>
<td valign="top" align="center">0.02049</td>
</tr>
<tr>
<td valign="top" align="left">Catechol</td>
<td valign="top" align="center">4.40109</td>
<td valign="top" align="center">0.00650</td>
<td valign="top" align="left">Melphalan</td>
<td valign="top" align="center">2.67401</td>
<td valign="top" align="center">0.02099</td>
</tr>
<tr>
<td valign="top" align="left">Cannabidiol</td>
<td valign="top" align="center">3.31796</td>
<td valign="top" align="center">0.00650</td>
<td valign="top" align="left">Clomipramine</td>
<td valign="top" align="center">1.57621</td>
<td valign="top" align="center">0.02149</td>
</tr>
<tr>
<td valign="top" align="left">Amitriptyline</td>
<td valign="top" align="center">4.15778</td>
<td valign="top" align="center">0.00700</td>
<td valign="top" align="left">Uranium</td>
<td valign="top" align="center">2.49394</td>
<td valign="top" align="center">0.02199</td>
</tr>
<tr>
<td valign="top" align="left">Ibuprofen</td>
<td valign="top" align="center">3.81067</td>
<td valign="top" align="center">0.00700</td>
<td valign="top" align="left">Monobutyl phthalate</td>
<td valign="top" align="center">2.52550</td>
<td valign="top" align="center">0.02249</td>
</tr>
<tr>
<td valign="top" align="left">Uric acid</td>
<td valign="top" align="center">2.27066</td>
<td valign="top" align="center">0.00700</td>
<td valign="top" align="left">Rimonabant</td>
<td valign="top" align="center">2.71940</td>
<td valign="top" align="center">0.02349</td>
</tr>
<tr>
<td valign="top" align="left">Methylparaben</td>
<td valign="top" align="center">5.83928</td>
<td valign="top" align="center">0.00750</td>
<td valign="top" align="left">Toxaphene</td>
<td valign="top" align="center">1.21501</td>
<td valign="top" align="center">0.02399</td>
</tr>
<tr>
<td valign="top" align="left">Oleoyl-estrone</td>
<td valign="top" align="center">1.50555</td>
<td valign="top" align="center">0.00750</td>
<td valign="top" align="left">Ursodeoxycholic Acid</td>
<td valign="top" align="center">2.44936</td>
<td valign="top" align="center">0.02399</td>
</tr>
<tr>
<td valign="top" align="left">2-(4-nitrophenyl)-4-(4-fluorophenyl)-5-(4-pyridinyl)-1H-imidazole</td>
<td valign="top" align="center">1.72254</td>
<td valign="top" align="center">0.00750</td>
<td valign="top" align="left">Letrozole</td>
<td valign="top" align="center">1.83199</td>
<td valign="top" align="center">0.02449</td>
</tr>
<tr>
<td valign="top" align="left">Benzbromarone</td>
<td valign="top" align="center">3.93596</td>
<td valign="top" align="center">0.00750</td>
<td valign="top" align="left">4-toluidine</td>
<td valign="top" align="center">2.47743</td>
<td valign="top" align="center">0.02499</td>
</tr>
<tr>
<td valign="top" align="left">Ethionine</td>
<td valign="top" align="center">4.06789</td>
<td valign="top" align="center">0.00750</td>
<td valign="top" align="left">Carcinogens</td>
<td valign="top" align="center">2.27375</td>
<td valign="top" align="center">0.02649</td>
</tr>
<tr>
<td valign="top" align="left">SK&amp;F 83959</td>
<td valign="top" align="center">3.56873</td>
<td valign="top" align="center">0.00800</td>
<td valign="top" align="left">Okadaic acid</td>
<td valign="top" align="center">2.35105</td>
<td valign="top" align="center">0.02649</td>
</tr>
<tr>
<td valign="top" align="left">Potassium perchlorate</td>
<td valign="top" align="center">3.55962</td>
<td valign="top" align="center">0.00850</td>
<td valign="top" align="left">Sulfasalazine</td>
<td valign="top" align="center">1.98058</td>
<td valign="top" align="center">0.02749</td>
</tr>
<tr>
<td valign="top" align="left">Phenanthrene</td>
<td valign="top" align="center">3.09849</td>
<td valign="top" align="center">0.00900</td>
<td valign="top" align="left">Pyrazolanthrone</td>
<td valign="top" align="center">2.25782</td>
<td valign="top" align="center">0.02899</td>
</tr>
<tr>
<td valign="top" align="left">SNX 2112</td>
<td valign="top" align="center">1.69629</td>
<td valign="top" align="center">0.00900</td>
<td valign="top" align="left">Pravastatin</td>
<td valign="top" align="center">1.71224</td>
<td valign="top" align="center">0.03098</td>
</tr>
<tr>
<td valign="top" align="left">Aripiprazole</td>
<td valign="top" align="center">1.82475</td>
<td valign="top" align="center">0.00950</td>
<td valign="top" align="left">Piperonyl butoxide</td>
<td valign="top" align="center">2.13714</td>
<td valign="top" align="center">0.03298</td>
</tr>
<tr>
<td valign="top" align="left">Asbestos</td>
<td valign="top" align="center">3.88868</td>
<td valign="top" align="center">0.00950</td>
<td valign="top" align="left">Potassium chloride</td>
<td valign="top" align="center">1.23405</td>
<td valign="top" align="center">0.03298</td>
</tr>
<tr>
<td valign="top" align="left">S-Adenosylmethionine</td>
<td valign="top" align="center">2.34165</td>
<td valign="top" align="center">0.00950</td>
<td valign="top" align="left">Bucladesine</td>
<td valign="top" align="center">1.80893</td>
<td valign="top" align="center">0.03498</td>
</tr>
<tr>
<td valign="top" align="left">Reserpine</td>
<td valign="top" align="center">2.09526</td>
<td valign="top" align="center">0.01049</td>
<td valign="top" align="left">3-(2-hydroxy-4-(2-methylnonan-2-yl) phenyl) cyclohexan-1-ol</td>
<td valign="top" align="center">2.16625</td>
<td valign="top" align="center">0.03598</td>
</tr>
<tr>
<td valign="top" align="left">Ciprofibrate</td>
<td valign="top" align="center">3.59698</td>
<td valign="top" align="center">0.01099</td>
<td valign="top" align="left">Caffeic acid</td>
<td valign="top" align="center">1.43915</td>
<td valign="top" align="center">0.04248</td>
</tr>
<tr>
<td valign="top" align="left">Probenecid</td>
<td valign="top" align="center">2.54975</td>
<td valign="top" align="center">0.01099</td>
<td valign="top" align="left">Methimazole</td>
<td valign="top" align="center">1.97181</td>
<td valign="top" align="center">0.04248</td>
</tr>
<tr>
<td valign="top" align="left">Pyrogallol</td>
<td valign="top" align="center">3.56596</td>
<td valign="top" align="center">0.01099</td>
<td valign="top" align="left">Methyl cellosolve</td>
<td valign="top" align="center">1.86438</td>
<td valign="top" align="center">0.04298</td>
</tr>
<tr>
<td valign="top" align="left">Homocysteine</td>
<td valign="top" align="center">3.54662</td>
<td valign="top" align="center">0.01149</td>
<td valign="top" align="left">Estrogens</td>
<td valign="top" align="center">1.47629</td>
<td valign="top" align="center">0.04448</td>
</tr>
<tr>
<td valign="top" align="left">Phosgene</td>
<td valign="top" align="center">3.01541</td>
<td valign="top" align="center">0.01199</td>
<td valign="top" align="left">Ciglitazone</td>
<td valign="top" align="center">1.26701</td>
<td valign="top" align="center">0.04598</td>
</tr>
<tr>
<td valign="top" align="left">Tebuconazole</td>
<td valign="top" align="center">2.51505</td>
<td valign="top" align="center">0.01349</td>
<td valign="top" align="left">Hyaluronic acid</td>
<td valign="top" align="center">1.84193</td>
<td valign="top" align="center">0.04698</td>
</tr>
<tr>
<td valign="top" align="left">Paraoxon</td>
<td valign="top" align="center">2.58233</td>
<td valign="top" align="center">0.01349</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Puberty is a developmental period affecting the body and behavior of children developing secondary sexual characteristics (<xref ref-type="bibr" rid="B29">29</xref>). Pubertal hormones play important roles in the adrenal, gonadal, and growth axes (<xref ref-type="bibr" rid="B30">30</xref>). Pubertal timing is determined by the activation of pulsatile hypothalamic GnRH secretion when pituitary gonadotropin secretion and downstream gonadal maturation are also initiated (<xref ref-type="bibr" rid="B31">31</xref>). Thus, various tissue types are affected by AAM, including the hypothalamus, pituitary gland, ovaries, uterus, and whole blood.</p>
<p>Up to now, previous studies have identified several genes associated with AAM, these results are similar to our studies (<xref ref-type="table" rid="T3"><bold>Table 3</bold></xref>). Here, we performed a comprehensive TWAS to evaluate the relationship between AAM and predicted genes found in the hypothalamus, pituitary gland, ovaries, uterus, and whole blood. We identified 11 genes whose genetically predicted expression was associated with AAM (<italic>P <sub>TWAS</sub></italic> &#x2264; 0.05), including 10 novel genes (<italic>RBM6</italic>, <italic>PILRB</italic>, <italic>CPSF1</italic>, <italic>INPP5E</italic>, <italic>MRPL43</italic>, <italic>TIPIN</italic>, <italic>FLYWCH1</italic>, <italic>EXOSC6</italic>, <italic>ADORA2B</italic>, and <italic>SPATA20</italic>) and one gene (<italic>HSD17B12</italic>) linked to AAM in a previous GWAS. The 11 protein-coding genes identified in our study have been implicated in estrogen metabolism. We also identified enriched fatty acid-metabolism pathways, similar to the findings of a recent study (<xref ref-type="bibr" rid="B36">36</xref>), indicating that different types of fatty acids may influence puberty timing. Additionally, individual fatty acids might have different physiological and metabolic effects, including the progression of pubertal development. Therefore, our study provides new information that improves our understanding of the genetics and etiology of AAM.</p>
<table-wrap id="T3" position="float">
<label>Table 3</label>
<caption>
<p>Previously reported significant AAM-related genes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Authors</th>
<th valign="top" align="center">SNP</th>
<th valign="top" align="center">Gene</th>
<th valign="top" align="center">P<xref ref-type="table-fn" rid="fnT3_1"><sup>a</sup></xref>
</th>
<th valign="top" align="center"><italic>P<sub>TWAS</sub><xref ref-type="table-fn" rid="fnT3_2"><sup>b</sup></xref>
</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">John RB Perry, et al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">rs10148448</td>
<td valign="top" align="left">MEG3</td>
<td valign="top" align="center">2.10E-04</td>
<td valign="top" align="center">2.52E-07</td>
</tr>
<tr>
<td valign="top" align="left">Diana L. Cousminer, et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left">rs12917823</td>
<td valign="top" align="left">MAPK3</td>
<td valign="top" align="center">P &lt; 5.00E-02</td>
<td valign="top" align="center">1.22E-03</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs17046434</td>
<td valign="top" align="left">ADCY3</td>
<td valign="top" align="center">P &lt; 5.00E-02</td>
<td valign="top" align="center">2.42E-02</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs7759938</td>
<td valign="top" align="left">LIN28B</td>
<td valign="top" align="center">P &lt; 5.00E-02</td>
<td valign="top" align="center">6.37E-49</td>
</tr>
<tr>
<td valign="top" align="left">Cathy E. Elks, et al. (<xref ref-type="bibr" rid="B34">34</xref>).</td>
<td valign="top" align="left">rs7759938</td>
<td valign="top" align="left">LIN28B</td>
<td valign="top" align="center">1.60E-58</td>
<td valign="top" align="center">6.37E-49</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs10148448</td>
<td valign="top" align="left">BEGAIN</td>
<td valign="top" align="center">1.70E-10</td>
<td valign="top" align="center">2.55E-06</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs4929923</td>
<td valign="top" align="left">TRIM66</td>
<td valign="top" align="center">2.40E-08</td>
<td valign="top" align="center">1.38E-09</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs3905330</td>
<td valign="top" align="left">RBM6</td>
<td valign="top" align="center">1.40E-09</td>
<td valign="top" align="center">8.60E-05</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs633715</td>
<td valign="top" align="left">SEC16B</td>
<td valign="top" align="center">1.50E-09</td>
<td valign="top" align="center">4.07E-03</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs4955420</td>
<td valign="top" align="left">KLHDC8B</td>
<td valign="top" align="center">1.80E-09</td>
<td valign="top" align="center">6.13E-06</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs16938437</td>
<td valign="top" align="left">PHF21A</td>
<td valign="top" align="center">1.40E-09</td>
<td valign="top" align="center">9.98E-09</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs2687729</td>
<td valign="top" align="left">EEFSEC</td>
<td valign="top" align="center">1.00E-08</td>
<td valign="top" align="center">2.51E-11</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs8104651</td>
<td valign="top" align="left">OLFM2</td>
<td valign="top" align="center">4.60E-10</td>
<td valign="top" align="center">1.10E-07</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs939317</td>
<td valign="top" align="left">ECE2</td>
<td valign="top" align="center">2.30E-09</td>
<td valign="top" align="center">4.89E-03</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs12641981</td>
<td valign="top" align="left">GNPDA2</td>
<td valign="top" align="center">8.70E-08</td>
<td valign="top" align="center">3.85E-02</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs12056794</td>
<td valign="top" align="left">MSRA</td>
<td valign="top" align="center">2.40E-02</td>
<td valign="top" align="center">1.00E-02</td>
</tr>
<tr>
<td valign="top" align="left">Nicholas Mancuso, et al. (<xref ref-type="bibr" rid="B35">35</xref>).</td>
<td valign="top" align="left">rs6580698</td>
<td valign="top" align="left">CCDC65</td>
<td valign="top" align="center">P &lt; 5.00E-08</td>
<td valign="top" align="center">7.30E-05</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs7330016</td>
<td valign="top" align="left">COG6</td>
<td valign="top" align="center">P &lt; 5.00E-08</td>
<td valign="top" align="center">4.40E-02</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs12917823</td>
<td valign="top" align="left">INO80E</td>
<td valign="top" align="center">P &lt; 5.00E-08</td>
<td valign="top" align="center">2.47E-05</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs3761919</td>
<td valign="top" align="left">NUCKS1</td>
<td valign="top" align="center">P &lt; 5.00E-08</td>
<td valign="top" align="center">4.86E-08</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs4717903</td>
<td valign="top" align="left">PMS2P5</td>
<td valign="top" align="center">P &lt; 5.00E-08</td>
<td valign="top" align="center">6.58E-04</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs3761919</td>
<td valign="top" align="left">RAB7L1</td>
<td valign="top" align="center">P &lt; 5.00E-08</td>
<td valign="top" align="center">9.47E-07</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs4717903</td>
<td valign="top" align="left">STAG3L2</td>
<td valign="top" align="center">P &lt; 5.00E-08</td>
<td valign="top" align="center">4.37E-08</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">rs2274351</td>
<td valign="top" align="left">TMEM180</td>
<td valign="top" align="center">P &lt; 5.00E-08</td>
<td valign="top" align="center">2.24E-04</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT3_1">
<label>a</label>
<p>P values of previously reported AAM-related genes.</p>
</fn>
<fn id="fnT3_2">
<label>b</label>
<p>Significant TWAS-identified genes associated with AAM in present research.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p><italic>HSD17B12</italic> encodes 17&#x3b2;-hydroxysteroid dehydrogenase (17&#x3b2;-HSD), which is crucial for converting estrone into estradiol and fatty acid elongation. Our results support those of Kemil&#xe4;inen et al. (<xref ref-type="bibr" rid="B37">37</xref>), who found that <italic>HSD17B12</italic> played a vital role in female fertility through arachidonic acid metabolism. Specifically, an investigation of the 17&#x3b2;-HSD enzyme expression in human and mouse ovaries revealed that female <italic>HSD17B</italic><sup>+/-</sup> mice more often had frequent dysfunctional oogenesis and ovulation, leading to less frequent births. Under extreme circumstances, haploinsufficiency of the <italic>HSD17B12</italic> gene in female mice resulted in subfertility. <italic>HSD17B12</italic> can affect fatty acid elongation and ceramide accumulation in the serum (<xref ref-type="bibr" rid="B38">38</xref>). Previous data showed that central ceramides participate in the timing of female puberty (<xref ref-type="bibr" rid="B39">39</xref>), suggesting that <italic>HSD17B12</italic> could be a candidate gene for female puberty. Notably, <italic>HSD17B12</italic> was also related to endometrial (<xref ref-type="bibr" rid="B40">40</xref>), ovarian (<xref ref-type="bibr" rid="B41">41</xref>), and breast (<xref ref-type="bibr" rid="B42">42</xref>) cancers.</p>
<p>Previous results have shown that INPP5E is concentrated at the cilia base, where it helps control phosphoinositide metabolism (<xref ref-type="bibr" rid="B43">43</xref>). Primary cilia are present on virtually all cell types. Cilia appear to exert a crucial modulatory role in appropriate axonal wiring due to INPP5E-dependent activation of the PI3K&#x2013;AKT signaling pathway, triggering an axonal Ca<sup>2+</sup> wave (<xref ref-type="bibr" rid="B44">44</xref>). GnRH neurons in adults are multi-ciliated, and the percentage of GnRH neurons possessing multiple Kiss1r-positive cilia increases during puberty, correlating with sexual maturation (<xref ref-type="bibr" rid="B45">45</xref>). <italic>ADORA2B</italic> encodes an adenosine receptor and is involved in axon elongation. A previous report showed that <italic>ADORA2B</italic> transcripts were significantly downregulated in GnRH neurons during proestrus (<xref ref-type="bibr" rid="B46">46</xref>), while it has not been studied in pituitary. Therefore, these newly defined genes may influence the electrophysiology of puberty in hypothalamus and pituitary gland.</p>
<p>TIPIN is part of the replisome complex and binds the replication fork-protection complex TIMELESS, which is involved in circadian rhythm regulation (<xref ref-type="bibr" rid="B47">47</xref>). Circadian rhythms are well known to play key roles in animal reproduction (<xref ref-type="bibr" rid="B48">48</xref>). The existing body of research suggests that during the chronotype and the circadian timekeeping system change during the puberty, including endogenous rhythm period and sensitivity to environmental time cues (<xref ref-type="bibr" rid="B49">49</xref>). The results of several studies have established that melatonin promotes follicle-stimulating hormone in the pituitary gland and increases serum estrogen levels, thereby accelerating the onset of puberty (<xref ref-type="bibr" rid="B50">50</xref>). Those studies indirectly support a potential role of <italic>TIPIN</italic> in AAM.</p>
<p>CPSF recognizes the AAUAAA signal in pre-mRNA and interacts with other factors to facilitate RNA cleavage and the poly(A) addition. CPSF1 is the largest subunit of the CPSF complex. Previous data established that CPSF1 may promote ovarian cancer (<xref ref-type="bibr" rid="B51">51</xref>), cell proliferation, and triple-negative breast cancer (<xref ref-type="bibr" rid="B52">52</xref>). However, women have a higher risk for developing autoimmune diseases than men, which is attributed to sweeping endocrinological changes during puberty that considerably affect the immune system (<xref ref-type="bibr" rid="B53">53</xref>). CPSF1 was previously found to have a high affinity for HLA molecules (<xref ref-type="bibr" rid="B54">54</xref>). Thus, <italic>CPSF1</italic> may be linked to the immune response in adolescent girls.</p>
<p>We extended the well-established GSEA approach to detect associations between environmental chemicals and AAM using published GWAS summary data sets and identified 120 chemicals, including drugs, organic compounds, inorganic compounds, plant extracts, nutrients, phenols, plasticizers, pesticides, herbicides, pollutants, and heavy metals. Aromatase is a rate-limiting enzyme in the conversion of androgens to estrogens, and letrozole is a selective aromatase inhibitor (<xref ref-type="bibr" rid="B55">55</xref>). Letrozole has been used to treat McCune&#x2013;Albright syndrome, which has been associated with precocious puberty in girls (<xref ref-type="bibr" rid="B56">56</xref>) and delayed growth and puberty in boys (<xref ref-type="bibr" rid="B57">57</xref>). Further, fluoxetine is drug that is commonly used to treat adults with depressive disorders (<xref ref-type="bibr" rid="B58">58</xref>). The effect of fluoxetine on puberty has been a controversial issue. The results of one study demonstrated that fluoxetine exposure <italic>in utero</italic> delays puberty onset in female rats (<xref ref-type="bibr" rid="B59">59</xref>), whereas other data suggested that fluoxetine exposure during gestation did not alter plasma estrogen concentrations in peripubertal offspring (<xref ref-type="bibr" rid="B60">60</xref>).</p>
<p>Some plant extracts act as EEDs, as they are among a group of secondary metabolites with chemical structures similar to those of endogenous hormones. Isoflavones are phytoestrogens that are mainly produced in soybeans and can promote advancement of the vaginal opening in female rats after exogenous supplementation (<xref ref-type="bibr" rid="B61">61</xref>). Galangin is a naturally occurring flavonoid that inhibits the effects of flavonoids on human cytochrome P450 (<xref ref-type="bibr" rid="B62">62</xref>). Galangin was found to inhibit the aryl hydrocarbon receptor and is considered a potential drug for treating breast cancer (<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>). Notable health benefits have also been reported for galangin (<xref ref-type="bibr" rid="B65">65</xref>), and previous data suggest that galangin is useful for treating precocious puberty. Zearalenone (ZEN) is a non-steroidal mycoestrogen that can exert adverse endocrine effects in mammals (<xref ref-type="bibr" rid="B66">66</xref>). To date, there is little agreement regarding the effect of ZEN on puberty. One group found that ZEN might trigger central precocious puberty (CPP) development in girls (<xref ref-type="bibr" rid="B67">67</xref>), whereas another group found an association between ZEN and normal pubertal development in adolescent girls (<xref ref-type="bibr" rid="B68">68</xref>).</p>
<p>A growing body of literature has associated being overweight or obese with early puberty (<xref ref-type="bibr" rid="B69">69</xref>); overweight and obese girls undergo menarche earlier than normal-weight girls (<xref ref-type="bibr" rid="B70">70</xref>). Several cross-sectional data have suggested that a substantial proportion of girls with CPP have hypertriglyceridemia (<xref ref-type="bibr" rid="B71">71</xref>). Cholesterol is an endogenous ligand of estrogen-related receptor alpha (<xref ref-type="bibr" rid="B72">72</xref>) that plays a role in activating estrogen receptors (<xref ref-type="bibr" rid="B73">73</xref>). Based on these data, we can infer that a high-cholesterol diet may also be a risk factor for precocious puberty. Plasticizers are additives used to produce or promote plasticity and flexibility in plastics, which are commonly used in everyday life. Further, parabens have been added to personal care products as antimicrobial preservatives (<xref ref-type="bibr" rid="B74">74</xref>), and methylparaben exposure increases glandular tissue sizes during critical developmental windows (<xref ref-type="bibr" rid="B75">75</xref>). A large survey showed that elevated phthalate metabolite levels pose potentially high health risks to children (<xref ref-type="bibr" rid="B76">76</xref>). In addition, monobutyl phthalate exposure might be associated with a risk for sexual precocity in girls (<xref ref-type="bibr" rid="B77">77</xref>). Animal experiments have demonstrated that two alkylphenols (4-nonylphenol and 4-tert-octylphenol) modify hormone biosynthesis and delay the onset of puberty (<xref ref-type="bibr" rid="B78">78</xref>).</p>
<p>This study has some limitations. First, the pooled GWAS data were obtained from the United Kingdom Biobank, and the study subjects were predominantly from European populations; these aspects affect the extrapolation of the results. Therefore, our results should be used cautiously when studying AAM in other populations. Second, although some of the genes we screened have been confirmed in other studies, our enrichment analysis used genes that did not pass correction for multiple testing (P &lt;0.05), which may introduce some false positives so it requires caution when using our results. And some genes related to AAM susceptibility identified here have not been verified <italic>via</italic> molecular biology experiments, which should be performed in future studies. Further, some EEDs identified in this study were previously demonstrated to play a role in AAM, whereas others are not yet validated, which will require more clinical observations and cohort studies. However, to the best of our knowledge, this is the first large study using CGSEA to identify candidate EEDs related to AAM. Our TWAS analysis detected AAM-associated genes at the DNA level, and our CGSEA extended the classic GSEA approach to detect associations between environmental chemicals and AAM.</p>
</sec>
<sec id="s5">
<title>Conclusion</title>
<p>In this study, we aimed to determine the influences of genetic and environmental factors on AAM. Therefore, we performed a TWAS and CGSEA related to AAM and identified multiple AAM-associated genes and EEDs. The results of this study expand our understanding of the genetic and environmental factors affecting the timing of female puberty.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>Author ML and RF collected and processed the data, as well as wrote this article. YQ and HD provided language help and writing assistance. BL proofreaded the article. CY and YX designed the study. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We are indebted to all individuals who participated in, or helped with, our research.</p>
</ack>
<sec sec-type="supplementary-material" id="s10">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fendo.2022.836527/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2022.836527/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Herting</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Sowell</surname> <given-names>ER</given-names>
</name>
</person-group>. <article-title>Puberty and Structural Brain Development in Humans</article-title>. <source>Front Neuroendocrinol</source> (<year>2017</year>) <volume>44</volume>:<page-range>122&#x2013;37</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.yfrne.2016.12.003</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Villamor</surname> <given-names>E</given-names>
</name>
<name>
<surname>Jansen</surname> <given-names>EC</given-names>
</name>
</person-group>. <article-title>Nutritional Determinants of the Timing of Puberty</article-title>. <source>Annu Rev Public Health</source> (<year>2016</year>) <volume>37</volume>:<fpage>33</fpage>&#x2013;<lpage>46</lpage>. doi: <pub-id pub-id-type="doi">10.1146/annurev-publhealth-031914-122606</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dvornyk</surname> <given-names>V</given-names>
</name>
<name>
<surname>Waqar ul</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>Genetics of Age at Menarche: A Systematic Review</article-title>. <source>Hum Reprod Update</source> (<year>2012</year>) <volume>18</volume>(<issue>2</issue>):<fpage>198</fpage>&#x2013;<lpage>210</lpage>. doi: <pub-id pub-id-type="doi">10.1093/humupd/dmr050</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Avendano</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Vazquez</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Tena-Sempere</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Disentangling Puberty: Novel Neuroendocrine Pathways and Mechanisms for the Control of Mammalian Puberty</article-title>. <source>Hum Reprod Update</source> (<year>2017</year>) <volume>23</volume>(<issue>6</issue>):<page-range>737&#x2013;63</page-range>. doi: <pub-id pub-id-type="doi">10.1093/humupd/dmx025</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Marks</surname> <given-names>KJ</given-names>
</name>
<name>
<surname>Howards</surname> <given-names>PP</given-names>
</name>
<name>
<surname>Smarr</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Flanders</surname> <given-names>WD</given-names>
</name>
<name>
<surname>Northstone</surname> <given-names>K</given-names>
</name>
<name>
<surname>Daniel</surname> <given-names>JH</given-names>
</name>
<etal/>
</person-group>. <article-title>Prenatal Exposure to Mixtures of Persistent Endocrine Disrupting Chemicals and Early Menarche in a Population-Based Cohort of British Girls</article-title>. <source>Environ Pollut</source> (<year>2021</year>) <volume>276</volume>:<elocation-id>116705</elocation-id>. doi: <pub-id pub-id-type="doi">10.1016/j.envpol.2021.116705</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lopez-Rodriguez</surname> <given-names>D</given-names>
</name>
<name>
<surname>Franssen</surname> <given-names>D</given-names>
</name>
<name>
<surname>Bakker</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lomniczi</surname> <given-names>A</given-names>
</name>
<name>
<surname>Parent</surname> <given-names>AS</given-names>
</name>
</person-group>. <article-title>Cellular and Molecular Features of EDC Exposure: Consequences for the GnRH Network</article-title>. <source>Nat Rev Endocrinol</source> (<year>2021</year>) <volume>17</volume>(<issue>2</issue>):<fpage>83</fpage>&#x2013;<lpage>96</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41574-020-00436-3</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>La Merrill</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Vandenberg</surname> <given-names>LN</given-names>
</name>
<name>
<surname>Smith</surname> <given-names>MT</given-names>
</name>
<name>
<surname>Goodson</surname> <given-names>W</given-names>
</name>
<name>
<surname>Browne</surname> <given-names>P</given-names>
</name>
<name>
<surname>Patisaul</surname> <given-names>HB</given-names>
</name>
<etal/>
</person-group>. <article-title>Consensus on the Key Characteristics of Endocrine-Disrupting Chemicals as a Basis for Hazard Identification</article-title>. <source>Nat Rev Endocrinol</source> (<year>2020</year>) <volume>16</volume>(<issue>1</issue>):<fpage>45</fpage>&#x2013;<lpage>57</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41574-019-0273-8</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Oskar</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wolff</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Teitelbaum</surname> <given-names>SL</given-names>
</name>
<name>
<surname>Stingone</surname> <given-names>JA</given-names>
</name>
</person-group>. <article-title>Identifying Environmental Exposure Profiles Associated With Timing of Menarche: A Two-Step Machine Learning Approach to Examine Multiple Environmental Exposures</article-title>. <source>Environ Res</source> (<year>2021</year>) <volume>195</volume>:<elocation-id>110524</elocation-id>. doi: <pub-id pub-id-type="doi">10.1016/j.envres.2020.110524</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lopez-Rodriguez</surname> <given-names>D</given-names>
</name>
<name>
<surname>Aylwin</surname> <given-names>CF</given-names>
</name>
<name>
<surname>Delli</surname> <given-names>V</given-names>
</name>
<name>
<surname>Sevrin</surname> <given-names>E</given-names>
</name>
<name>
<surname>Campanile</surname> <given-names>M</given-names>
</name>
<name>
<surname>Martin</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Multi- and Transgenerational Outcomes of an Exposure to a Mixture of Endocrine-Disrupting Chemicals (EDCs) on Puberty and Maternal Behavior in the Female Rat</article-title>. <source>Environ Health Perspect</source> (<year>2021</year>) <volume>129</volume>(<issue>8</issue>):<fpage>87003</fpage>. doi: <pub-id pub-id-type="doi">10.1289/EHP8795</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>C</given-names>
</name>
<name>
<surname>Tan</surname> <given-names>S</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>S</given-names>
</name>
<name>
<surname>Li</surname> <given-names>P</given-names>
</name>
<name>
<surname>Li</surname> <given-names>W</given-names>
</name>
<etal/>
</person-group>. <article-title>Transcriptome-Wide Association Study Identifies Susceptibility Genes for Rheumatoid Arthritis</article-title>. <source>Arthritis Res Ther</source> (<year>2021</year>) <volume>23</volume>(<issue>1</issue>):<fpage>38</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13075-021-02419-9</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname> <given-names>WD</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>CF</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>WM</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Hsieh</surname> <given-names>AR</given-names>
</name>
<etal/>
</person-group>. <article-title>Genetic Factors of Idiopathic Central Precocious Puberty and Their Polygenic Risk in Early Puberty</article-title>. <source>Eur J Endocrinol</source> (<year>2021</year>) <volume>185</volume>(<issue>4</issue>):<page-range>441&#x2013;51</page-range>. doi: <pub-id pub-id-type="doi">10.1530/EJE-21-0424</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Albert</surname> <given-names>FW</given-names>
</name>
<name>
<surname>Kruglyak</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>The Role of Regulatory Variation in Complex Traits and Disease</article-title>. <source>Nat Rev Genet</source> (<year>2015</year>) <volume>16</volume>(<issue>4</issue>):<fpage>197</fpage>&#x2013;<lpage>212</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrg3891</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gusev</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ko</surname> <given-names>A</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>H</given-names>
</name>
<name>
<surname>Bhatia</surname> <given-names>G</given-names>
</name>
<name>
<surname>Chung</surname> <given-names>W</given-names>
</name>
<name>
<surname>Penninx</surname> <given-names>BW</given-names>
</name>
<etal/>
</person-group>. <article-title>Integrative Approaches for Large-Scale Transcriptome-Wide Association Studies</article-title>. <source>Nat Genet</source> (<year>2016</year>) <volume>48</volume>(<issue>3</issue>):<page-range>245&#x2013;52</page-range>. doi: <pub-id pub-id-type="doi">10.1038/ng.3506</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shi</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Li</surname> <given-names>B</given-names>
</name>
<name>
<surname>Lu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>X</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>Q</given-names>
</name>
<etal/>
</person-group>. <article-title>Transcriptome-Wide Association Study Identifies Susceptibility Loci and Genes for Age at Natural Menopause</article-title>. <source>Reprod Sci</source> (<year>2019</year>) <volume>26</volume>(<issue>4</issue>):<fpage>496</fpage>&#x2013;<lpage>502</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1933719118776788</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Abreu</surname> <given-names>AP</given-names>
</name>
<name>
<surname>Kaiser</surname> <given-names>UB</given-names>
</name>
</person-group>. <article-title>Pubertal Development and Regulation</article-title>. <source>Lancet Diabetes Endocrinol</source> (<year>2016</year>) <volume>4</volume>(<issue>3</issue>):<page-range>254&#x2013;64</page-range>. doi: <pub-id pub-id-type="doi">10.1016/S2213-8587(15)00418-0</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Day</surname> <given-names>FR</given-names>
</name>
<name>
<surname>Thompson</surname> <given-names>DJ</given-names>
</name>
<name>
<surname>Helgason</surname> <given-names>H</given-names>
</name>
<name>
<surname>Chasman</surname> <given-names>DI</given-names>
</name>
<name>
<surname>Finucane</surname> <given-names>H</given-names>
</name>
<name>
<surname>Sulem</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>Genomic Analyses Identify Hundreds of Variants Associated With Age at Menarche and Support a Role for Puberty Timing in Cancer Risk</article-title>. <source>Nat Genet</source> (<year>2017</year>) <volume>49</volume>(<issue>6</issue>):<page-range>834&#x2013;41</page-range>.
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Quick</surname> <given-names>C</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>K</given-names>
</name>
<name>
<surname>Barbeira</surname> <given-names>A</given-names>
</name>
<name>
<surname>Consortium</surname> <given-names>GT</given-names>
</name>
<name>
<surname>Luca</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>PTWAS: Investigating Tissue-Relevant Causal Molecular Mechanisms of Complex Traits Using Probabilistic TWAS Analysis</article-title>. <source>Genome Biol</source> (<year>2020</year>) <volume>21</volume>(<issue>1</issue>):<fpage>232</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13059-020-02026-y</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhou</surname> <given-names>X</given-names>
</name>
<name>
<surname>Carbonetto</surname> <given-names>P</given-names>
</name>
<name>
<surname>Stephens</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Polygenic Modeling With Bayesian Sparse Linear Mixed Models</article-title>. <source>PLoS Genet</source> (<year>2013</year>) <volume>9</volume>(<issue>2</issue>):<elocation-id>e1003264</elocation-id>. doi: <pub-id pub-id-type="doi">10.1371/journal.pgen.1003264</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kanehisa</surname> <given-names>M</given-names>
</name>
<name>
<surname>Goto</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>KEGG: Kyoto Encyclopedia of Genes and Genomes</article-title>. <source>Nucleic Acids Res</source> (<year>2000</year>) <volume>28</volume>(<issue>1</issue>):<fpage>27</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1093/nar/28.1.27</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hill</surname> <given-names>DP</given-names>
</name>
<name>
<surname>Blake</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Richardson</surname> <given-names>JE</given-names>
</name>
<name>
<surname>Ringwald</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Extension and Integration of the Gene Ontology (GO): Combining GO Vocabularies With External Vocabularies</article-title>. <source>Genome Res</source> (<year>2002</year>) <volume>12</volume>(<issue>12</issue>):<page-range>1982&#x2013;91</page-range>. doi: <pub-id pub-id-type="doi">10.1101/gr.580102</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jensen</surname> <given-names>LJ</given-names>
</name>
<name>
<surname>Kuhn</surname> <given-names>M</given-names>
</name>
<name>
<surname>Stark</surname> <given-names>M</given-names>
</name>
<name>
<surname>Chaffron</surname> <given-names>S</given-names>
</name>
<name>
<surname>Creevey</surname> <given-names>C</given-names>
</name>
<name>
<surname>Muller</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>STRING 8&#x2013;a Global View on Proteins and Their Functional Interactions in 630 Organisms</article-title>. <source>Nucleic Acids Res</source> (<year>2009</year>) <volume>37</volume>(<issue>Database issue</issue>):<page-range>D412&#x2013;6</page-range>. doi: <pub-id pub-id-type="doi">10.1093/nar/gkn760</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shannon</surname> <given-names>P</given-names>
</name>
<name>
<surname>Markiel</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ozier</surname> <given-names>O</given-names>
</name>
<name>
<surname>Baliga</surname> <given-names>NS</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>JT</given-names>
</name>
<name>
<surname>Ramage</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks</article-title>. <source>Genome Res</source> (<year>2003</year>) <volume>13</volume>(<issue>11</issue>):<page-range>2498&#x2013;504</page-range>. doi: <pub-id pub-id-type="doi">10.1101/gr.1239303</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bader</surname> <given-names>GD</given-names>
</name>
<name>
<surname>Hogue</surname> <given-names>CW</given-names>
</name>
</person-group>. <article-title>An Automated Method for Finding Molecular Complexes in Large Protein Interaction Networks</article-title>. <source>BMC Bioinf</source> (<year>2003</year>) <volume>4</volume>:<fpage>2</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1471-2105-4-2</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mattingly</surname> <given-names>CJ</given-names>
</name>
<name>
<surname>Colby</surname> <given-names>GT</given-names>
</name>
<name>
<surname>Rosenstein</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Forrest</surname> <given-names>JN</given-names> <suffix>Jr</suffix>
</name>
<name>
<surname>Boyer</surname> <given-names>JL</given-names>
</name>
</person-group>. <article-title>Promoting Comparative Molecular Studies in Environmental Health Research: An Overview of the Comparative Toxicogenomics Database (CTD)</article-title>. <source>Pharmacogenomics J</source> (<year>2004</year>) <volume>4</volume>(<issue>1</issue>):<fpage>5</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1038/sj.tpj.6500225</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cheng</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>M</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>B</given-names>
</name>
<name>
<surname>Qi</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>CGSEA: A Flexible Tool for Evaluating the Associations of Chemicals With Complex Diseases</article-title>. <source>G3 (Bethesda)</source> (<year>2020</year>) <volume>10</volume>(<issue>3</issue>):<page-range>945&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.1534/g3.119.400945</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>K</given-names>
</name>
<name>
<surname>Li</surname> <given-names>M</given-names>
</name>
<name>
<surname>Bucan</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Pathway-Based Approaches for Analysis of Genomewide Association Studies</article-title>. <source>Am J Hum Genet</source> (<year>2007</year>) <volume>81</volume>(<issue>6</issue>):<page-range>1278&#x2013;83</page-range>. doi: <pub-id pub-id-type="doi">10.1086/522374</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mooney</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Wilmot</surname> <given-names>B</given-names>
</name>
</person-group>. <article-title>Gene Set Analysis: A Step-by-Step Guide</article-title>. <source>Am J Med Genet B Neuropsychiatr Genet</source> (<year>2015</year>) <volume>168</volume>(<issue>7</issue>):<page-range>517&#x2013;27</page-range>. doi: <pub-id pub-id-type="doi">10.1002/ajmg.b.32328</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ziyatdinov</surname> <given-names>A</given-names>
</name>
<name>
<surname>V&#xe1;zquez-Santiago</surname> <given-names>M</given-names>
</name>
<name>
<surname>Brunel</surname> <given-names>H</given-names>
</name>
<name>
<surname>Martinez-Perez</surname> <given-names>A</given-names>
</name>
<name>
<surname>Aschard</surname> <given-names>H</given-names>
</name>
<name>
<surname>Soria</surname> <given-names>JM</given-names>
</name>
</person-group>. <article-title>Lme4qtl: Linear Mixed Models With Flexible Covariance Structure for Genetic Studies of Related Individuals</article-title>. <source>BMC Bioinf</source> (<year>2018</year>) <volume>19</volume>(<issue>1</issue>):<fpage>68</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12859-018-2057-x</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stamou</surname> <given-names>MI</given-names>
</name>
<name>
<surname>Balasubramanian</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Hypothalamic Ceramides and the Ovarian Sympathetic System: At the Crossroads of Obesity and Puberty</article-title>. <source>Cell Metab</source> (<year>2021</year>) <volume>33</volume>(<issue>1</issue>):<fpage>6</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cmet.2020.11.012</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gracia-Tabuenca</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Moreno</surname> <given-names>MB</given-names>
</name>
<name>
<surname>Barrios</surname> <given-names>FA</given-names>
</name>
<name>
<surname>Alcauter</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Development of the Brain Functional Connectome Follows Puberty-Dependent Nonlinear Trajectories</article-title>. <source>Neuroimage</source> (<year>2021</year>) <volume>229</volume>:<elocation-id>117769</elocation-id>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroimage.2021.117769</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Navarro</surname> <given-names>VM</given-names>
</name>
</person-group>. <article-title>Metabolic Regulation of Kisspeptin - the Link Between Energy Balance and Reproduction</article-title>. <source>Nat Rev Endocrinol</source> (<year>2020</year>) <volume>16</volume>(<issue>8</issue>):<page-range>407&#x2013;20</page-range>. doi: <pub-id pub-id-type="doi">10.1038/s41574-020-0363-7</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Perry</surname> <given-names>JR</given-names>
</name>
<name>
<surname>Day</surname> <given-names>F</given-names>
</name>
<name>
<surname>Elks</surname> <given-names>CE</given-names>
</name>
<name>
<surname>Sulem</surname> <given-names>P</given-names>
</name>
<name>
<surname>Thompson</surname> <given-names>DJ</given-names>
</name>
<name>
<surname>Ferreira</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Parent-Of-Origin-Specific Allelic Associations Among 106 Genomic Loci for Age at Menarche</article-title>. <source>Nature</source> (<year>2014</year>) <volume>514</volume>(<issue>7520</issue>):<page-range>92&#x2013;7</page-range>.
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cousminer</surname> <given-names>DL</given-names>
</name>
<name>
<surname>Berry</surname> <given-names>DJ</given-names>
</name>
<name>
<surname>Timpson</surname> <given-names>NJ</given-names>
</name>
<name>
<surname>Ang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Thiering</surname> <given-names>E</given-names>
</name>
<name>
<surname>Byrne</surname> <given-names>EM</given-names>
</name>
<etal/>
</person-group>. <article-title>Genome-Wide Association and Longitudinal Analyses Reveal Genetic Loci Linking Pubertal Height Growth, Pubertal Timing and Childhood Adiposity</article-title>. <source>Hum Mol Genet</source> (<year>2013</year>) <volume>22</volume>(<issue>13</issue>):<page-range>2735&#x2013;47</page-range>. doi: <pub-id pub-id-type="doi">10.1093/hmg/ddt104</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Elks</surname> <given-names>CE</given-names>
</name>
<name>
<surname>Perry</surname> <given-names>JRB</given-names>
</name>
<name>
<surname>Sulem</surname> <given-names>P</given-names>
</name>
<name>
<surname>Chasman</surname> <given-names>DI</given-names>
</name>
<name>
<surname>Franceschini</surname> <given-names>N</given-names>
</name>
<name>
<surname>He</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Thirty New Loci for Age at Menarche Identified by a Meta-Analysis of Genome-Wide Association Studies</article-title>. <source>Nat Genet</source> (<year>2010</year>) <volume>42</volume>(<issue>12</issue>):<page-range>1077&#x2013;85</page-range>.
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mancuso</surname> <given-names>N</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>H</given-names>
</name>
<name>
<surname>Goddard</surname> <given-names>P</given-names>
</name>
<name>
<surname>Kichaev</surname> <given-names>G</given-names>
</name>
<name>
<surname>Gusev</surname> <given-names>A</given-names>
</name>
<name>
<surname>Pasaniuc</surname> <given-names>B</given-names>
</name>
</person-group>. <article-title>Integrating Gene Expression With Summary Association Statistics to Identify Genes Associated With 30 Complex Traits</article-title>. <source>Am J Hum Genet</source> (<year>2017</year>) <volume>100</volume>(<issue>3</issue>):<page-range>473&#x2013;87</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.ajhg.2017.01.031</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cheng</surname> <given-names>TS</given-names>
</name>
<name>
<surname>Day</surname> <given-names>FR</given-names>
</name>
<name>
<surname>Perry</surname> <given-names>JRB</given-names>
</name>
<name>
<surname>Luan</surname> <given-names>J</given-names>
</name>
<name>
<surname>Langenberg</surname> <given-names>C</given-names>
</name>
<name>
<surname>Forouhi</surname> <given-names>NG</given-names>
</name>
<etal/>
</person-group>. <article-title>Prepubertal Dietary and Plasma Phospholipid Fatty Acids Related to Puberty Timing: Longitudinal Cohort and Mendelian Randomization Analyses</article-title>. <source>Nutrients</source> (<year>2021</year>) <volume>13</volume>(<issue>6</issue>). doi: <pub-id pub-id-type="doi">10.3390/nu13061868</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kemil&#xe4;inen</surname> <given-names>H</given-names>
</name>
<name>
<surname>Adam</surname> <given-names>M</given-names>
</name>
<name>
<surname>M&#xe4;ki-Jouppila</surname> <given-names>J</given-names>
</name>
<name>
<surname>Damdimopoulou</surname> <given-names>P</given-names>
</name>
<name>
<surname>Damdimopoulos</surname> <given-names>AE</given-names>
</name>
<name>
<surname>Kere</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>The Hydroxysteroid (17&#x3b2;) Dehydrogenase Family Gene HSD17B12 Is Involved in the Prostaglandin Synthesis Pathway, the Ovarian Function, and Regulation of Fertility</article-title>. <source>Endocrinology</source> (<year>2016</year>) <volume>157</volume>(<issue>10</issue>):<page-range>3719&#x2013;30</page-range>. doi: <pub-id pub-id-type="doi">10.1210/en.2016-1252</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Heikel&#xe4;</surname> <given-names>H</given-names>
</name>
<name>
<surname>Ruohonen</surname> <given-names>ST</given-names>
</name>
<name>
<surname>Adam</surname> <given-names>M</given-names>
</name>
<name>
<surname>Viitanen</surname> <given-names>R</given-names>
</name>
<name>
<surname>Liljenb&#xe4;ck</surname> <given-names>H</given-names>
</name>
<name>
<surname>Eskola</surname> <given-names>O</given-names>
</name>
<etal/>
</person-group>. <article-title>Hydroxysteroid (17&#x3b2;) Dehydrogenase 12 is Essential for Metabolic Homeostasis in Adult Mice</article-title>. <source>Am J Physiol Endocrinol Metab</source> (<year>2020</year>) <volume>319</volume>(<issue>3</issue>):<fpage>E494</fpage>&#x2013;<lpage>e508</lpage>. doi: <pub-id pub-id-type="doi">10.1152/ajpendo.00042.2020</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Heras</surname> <given-names>V</given-names>
</name>
<name>
<surname>Castellano</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Fernandois</surname> <given-names>D</given-names>
</name>
<name>
<surname>Velasco</surname> <given-names>I</given-names>
</name>
<name>
<surname>Rodr&#xed;guez-Vazquez</surname> <given-names>E</given-names>
</name>
<name>
<surname>Roa</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Central Ceramide Signaling Mediates Obesity-Induced Precocious Puberty</article-title>. <source>Cell Metab</source> (<year>2020</year>) <volume>32</volume>(<issue>6</issue>):<fpage>951</fpage>&#x2013;<lpage>966.e8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cmet.2020.10.001</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hevir-Kene</surname> <given-names>N</given-names>
</name>
<name>
<surname>Ri&#x17e;ner</surname> <given-names>TL</given-names>
</name>
</person-group>. <article-title>The Endometrial Cancer Cell Lines Ishikawa and HEC-1A, and the Control Cell Line HIEEC, Differ in Expression of Estrogen Biosynthetic and Metabolic Genes, and in Androstenedione and Estrone-Sulfate Metabolism</article-title>. <source>Chem Biol Interact</source> (<year>2015</year>) <volume>234</volume>:<page-range>309&#x2013;19</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.cbi.2014.11.015</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Szajnik</surname> <given-names>M</given-names>
</name>
<name>
<surname>Szczepanski</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Elishaev</surname> <given-names>E</given-names>
</name>
<name>
<surname>Visus</surname> <given-names>C</given-names>
</name>
<name>
<surname>Lenzner</surname> <given-names>D</given-names>
</name>
<name>
<surname>Zabel</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>17&#x3b2; Hydroxysteroid Dehydrogenase Type 12 (HSD17B12) is a Marker of Poor Prognosis in Ovarian Carcinoma</article-title>. <source>Gynecol Oncol</source> (<year>2012</year>) <volume>127</volume>(<issue>3</issue>):<page-range>587&#x2013;94</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.ygyno.2012.08.010</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Haynes</surname> <given-names>BP</given-names>
</name>
<name>
<surname>Straume</surname> <given-names>AH</given-names>
</name>
<name>
<surname>Geisler</surname> <given-names>J</given-names>
</name>
<name>
<surname>A'Hern</surname> <given-names>R</given-names>
</name>
<name>
<surname>Helle</surname> <given-names>H</given-names>
</name>
<name>
<surname>Smith</surname> <given-names>IE</given-names>
</name>
<etal/>
</person-group>. <article-title>Intratumoral Estrogen Disposition in Breast Cancer</article-title>. <source>Clin Cancer Res</source> (<year>2010</year>) <volume>16</volume>(<issue>6</issue>):<page-range>1790&#x2013;801</page-range>. doi: <pub-id pub-id-type="doi">10.1158/1078-0432.CCR-09-2481</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Conduit</surname> <given-names>SE</given-names>
</name>
<name>
<surname>Davies</surname> <given-names>EM</given-names>
</name>
<name>
<surname>Fulcher</surname> <given-names>AJ</given-names>
</name>
<name>
<surname>Oorschot</surname> <given-names>V</given-names>
</name>
<name>
<surname>Mitchell</surname> <given-names>CA</given-names>
</name>
</person-group>. <article-title>Superresolution Microscopy Reveals Distinct Phosphoinositide Subdomains Within the Cilia Transition Zone</article-title>. <source>Front Cell Dev Biol</source> (<year>2021</year>) <volume>9</volume>:<elocation-id>634649</elocation-id>. doi: <pub-id pub-id-type="doi">10.3389/fcell.2021.634649</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guo</surname> <given-names>J</given-names>
</name>
<name>
<surname>Otis</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Suciu</surname> <given-names>SK</given-names>
</name>
<name>
<surname>Catalano</surname> <given-names>C</given-names>
</name>
<name>
<surname>Xing</surname> <given-names>L</given-names>
</name>
<name>
<surname>Constable</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Primary Cilia Signaling Promotes Axonal Tract Development and Is Disrupted in Joubert Syndrome-Related Disorders Models</article-title>. <source>Dev Cell</source> (<year>2019</year>) <volume>51</volume>(<issue>6</issue>):<fpage>759</fpage>&#x2013;<lpage>74.e5</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.devcel.2019.11.005</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Koemeter-Cox</surname> <given-names>AI</given-names>
</name>
<name>
<surname>Sherwood</surname> <given-names>TW</given-names>
</name>
<name>
<surname>Green</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Steiner</surname> <given-names>RA</given-names>
</name>
<name>
<surname>Berbari</surname> <given-names>NF</given-names>
</name>
<name>
<surname>Yoder</surname> <given-names>BK</given-names>
</name>
<etal/>
</person-group>. <article-title>Primary Cilia Enhance Kisspeptin Receptor Signaling on Gonadotropin-Releasing Hormone Neurons</article-title>. <source>Proc Natl Acad Sci U S A</source> (<year>2014</year>) <volume>111</volume>(<issue>28</issue>):<page-range>10335&#x2013;40</page-range>. doi: <pub-id pub-id-type="doi">10.1073/pnas.1403286111</pub-id>
</citation>
</ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rodolosse</surname> <given-names>A</given-names>
</name>
<name>
<surname>Solymosi</surname> <given-names>N</given-names>
</name>
<name>
<surname>Liposits</surname> <given-names>Z</given-names>
</name>
</person-group>. <article-title>Altered Expression of Genes Encoding Neurotransmitter Receptors in GnRH Neurons of Proestrous Mice</article-title>. <source>Front Cell Neurosci</source> (<year>2016</year>) <volume>10</volume>:<elocation-id>230</elocation-id>. doi: <pub-id pub-id-type="doi">10.3389/fncel.2016.00230</pub-id>
</citation>
</ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kondratov</surname> <given-names>RV</given-names>
</name>
<name>
<surname>Antoch</surname> <given-names>MP</given-names>
</name>
</person-group>. <article-title>Circadian Proteins in the Regulation of Cell Cycle and Genotoxic Stress Responses</article-title>. <source>Trends Cell Biol</source> (<year>2007</year>) <volume>17</volume>(<issue>7</issue>):<page-range>311&#x2013;7</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.tcb.2007.07.001</pub-id>
</citation>
</ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Basili</surname> <given-names>D</given-names>
</name>
<name>
<surname>Gioacchini</surname> <given-names>G</given-names>
</name>
<name>
<surname>Todisco</surname> <given-names>V</given-names>
</name>
<name>
<surname>Candelma</surname> <given-names>M</given-names>
</name>
<name>
<surname>Marisaldi</surname> <given-names>L</given-names>
</name>
<name>
<surname>Pappalardo</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Opsins and Gonadal Circadian Rhythm in the Swordfish (Xiphias Gladius) Ovary: Their Potential Roles in Puberty and Reproductive Seasonality</article-title>. <source>Gen Comp Endocrinol</source> (<year>2021</year>) <volume>303</volume>:<elocation-id>113707</elocation-id>. doi: <pub-id pub-id-type="doi">10.1016/j.ygcen.2020.113707</pub-id>
</citation>
</ref>
<ref id="B49">
<label>49</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hagenauer</surname> <given-names>MH</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>TM</given-names>
</name>
</person-group>. <article-title>The Neuroendocrine Control of the Circadian System: Adolescent Chronotype</article-title>. <source>Front Neuroendocrinol</source> (<year>2012</year>) <volume>33</volume>(<issue>3</issue>):<page-range>211&#x2013;29</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.yfrne.2012.04.003</pub-id>
</citation>
</ref>
<ref id="B50">
<label>50</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Ran</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>G</given-names>
</name>
<name>
<surname>Hou</surname> <given-names>R</given-names>
</name>
<name>
<surname>He</surname> <given-names>C</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Q</given-names>
</name>
<etal/>
</person-group>. <article-title>Melatonin Administration Accelerates Puberty Onset in Mice by Promoting FSH Synthesis</article-title>. <source>Molecules</source> (<year>2021</year>) <volume>26</volume>(<issue>5</issue>). doi: <pub-id pub-id-type="doi">10.3390/molecules26051474</pub-id>
</citation>
</ref>
<ref id="B51">
<label>51</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>B</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>D</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>L</given-names>
</name>
</person-group>. <article-title>Targeting Cleavage and Polyadenylation Specific Factor 1 via shRNA Inhibits Cell Proliferation in Human Ovarian Cancer</article-title>. <source>J Biosci</source> (<year>2017</year>) <volume>42</volume>(<issue>3</issue>):<page-range>417&#x2013;25</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s12038-017-9701-x</pub-id>
</citation>
</ref>
<ref id="B52">
<label>52</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Lang</surname> <given-names>GT</given-names>
</name>
<name>
<surname>Xue</surname> <given-names>MZ</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>L</given-names>
</name>
<name>
<surname>Yao</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Dissecting the Heterogeneity of the Alternative Polyadenylation Profiles in Triple-Negative Breast Cancers</article-title>. <source>Theranostics</source> (<year>2020</year>) <volume>10</volume>(<issue>23</issue>):<page-range>10531&#x2013;47</page-range>. doi: <pub-id pub-id-type="doi">10.7150/thno.40944</pub-id>
</citation>
</ref>
<ref id="B53">
<label>53</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Desai</surname> <given-names>MK</given-names>
</name>
<name>
<surname>Brinton</surname> <given-names>RD</given-names>
</name>
</person-group>. <article-title>Autoimmune Disease in Women: Endocrine Transition and Risk Across the Lifespan</article-title>. <source>Front Endocrinol (Lausanne)</source> (<year>2019</year>) <volume>10</volume>:<elocation-id>265</elocation-id>. doi: <pub-id pub-id-type="doi">10.3389/fendo.2019.00265</pub-id>
</citation>
</ref>
<ref id="B54">
<label>54</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Noblejas-L&#xf3;pez</surname> <given-names>MDM</given-names>
</name>
<name>
<surname>Nieto-Jim&#xe9;nez</surname> <given-names>C</given-names>
</name>
<name>
<surname>Morcillo Garc&#xed;a</surname> <given-names>S</given-names>
</name>
<name>
<surname>P&#xe9;rez-Pe&#xf1;a</surname> <given-names>J</given-names>
</name>
<name>
<surname>Nuncia-Cantarero</surname> <given-names>M</given-names>
</name>
<name>
<surname>Andr&#xe9;s-Pretel</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Expression of MHC Class I, HLA-A and HLA-B Identifies Immune-Activated Breast Tumors With Favorable Outcome</article-title>. <source>Oncoimmunology</source> (<year>2019</year>) <volume>8</volume>(<issue>10</issue>):<elocation-id>e1629780</elocation-id>. doi: <pub-id pub-id-type="doi">10.1080/2162402X.2019.1629780</pub-id>
</citation>
</ref>
<ref id="B55">
<label>55</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wit</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Hero</surname> <given-names>M</given-names>
</name>
<name>
<surname>Nunez</surname> <given-names>SB</given-names>
</name>
</person-group>. <article-title>Aromatase Inhibitors in Pediatrics</article-title>. <source>Nat Rev Endocrinol</source> (<year>2011</year>) <volume>8</volume>(<issue>3</issue>):<page-range>135&#x2013;47</page-range>. doi: <pub-id pub-id-type="doi">10.1038/nrendo.2011.161</pub-id>
</citation>
</ref>
<ref id="B56">
<label>56</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Estrada</surname> <given-names>A</given-names>
</name>
<name>
<surname>Boyce</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Brillante</surname> <given-names>BA</given-names>
</name>
<name>
<surname>Guthrie</surname> <given-names>LC</given-names>
</name>
<name>
<surname>Gafni</surname> <given-names>RI</given-names>
</name>
<name>
<surname>Collins</surname> <given-names>MT</given-names>
</name>
<etal/>
</person-group>. <article-title>Long-Term Outcomes of Letrozole Treatment for Precocious Puberty in Girls With McCune-Albright Syndrome</article-title>. <source>Eur J Endocrinol</source> (<year>2016</year>) <volume>175</volume>(<issue>5</issue>):<page-range>477&#x2013;83</page-range>. doi: <pub-id pub-id-type="doi">10.1530/EJE-16-0526</pub-id>
</citation>
</ref>
<ref id="B57">
<label>57</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kohva</surname> <given-names>E</given-names>
</name>
<name>
<surname>Varimo</surname> <given-names>T</given-names>
</name>
<name>
<surname>Huopio</surname> <given-names>H</given-names>
</name>
<name>
<surname>Tenhola</surname> <given-names>S</given-names>
</name>
<name>
<surname>Voutilainen</surname> <given-names>R</given-names>
</name>
<name>
<surname>Toppari</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Anti-M&#xfc;llerian Hormone and Letrozole Levels in Boys With Constitutional Delay of Growth and Puberty Treated With Letrozole or Testosterone</article-title>. <source>Hum Reprod</source> (<year>2020</year>) <volume>35</volume>(<issue>2</issue>):<page-range>257&#x2013;64</page-range>. doi: <pub-id pub-id-type="doi">10.1093/humrep/dez231</pub-id>
</citation>
</ref>
<ref id="B58">
<label>58</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cipriani</surname> <given-names>A</given-names>
</name>
<name>
<surname>Furukawa</surname> <given-names>TA</given-names>
</name>
<name>
<surname>Salanti</surname> <given-names>G</given-names>
</name>
<name>
<surname>Chaimani</surname> <given-names>A</given-names>
</name>
<name>
<surname>Atkinson</surname> <given-names>LZ</given-names>
</name>
<name>
<surname>Ogawa</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Comparative Efficacy and Acceptability of 21 Antidepressant Drugs for the Acute Treatment of Adults With Major Depressive Disorder: A Systematic Review and Network Meta-Analysis</article-title>. <source>Lancet</source> (<year>2018</year>) <volume>391</volume>(<issue>10128</issue>):<page-range>1357&#x2013;66</page-range>. doi: <pub-id pub-id-type="doi">10.1016/S0140-6736(17)32802-7</pub-id>
</citation>
</ref>
<ref id="B59">
<label>59</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dos Santos</surname> <given-names>AH</given-names>
</name>
<name>
<surname>Vieira</surname> <given-names>ML</given-names>
</name>
<name>
<surname>de Azevedo Camin</surname> <given-names>N</given-names>
</name>
<name>
<surname>Anselmo-Franci</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Ceravolo</surname> <given-names>GS</given-names>
</name>
<name>
<surname>Pelosi</surname> <given-names>GG</given-names>
</name>
<etal/>
</person-group>. <article-title>In Utero and Lactational Exposure to Fluoxetine Delays Puberty Onset in Female Rats Offspring</article-title>. <source>Reprod Toxicol</source> (<year>2016</year>) <volume>62</volume>:<fpage>1</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.reprotox.2016.04.006</pub-id>
</citation>
</ref>
<ref id="B60">
<label>60</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Barbosa</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Ver&#xed;ssimo</surname> <given-names>LF</given-names>
</name>
<name>
<surname>Gerardin</surname> <given-names>DCC</given-names>
</name>
<name>
<surname>Pelosi</surname> <given-names>GG</given-names>
</name>
<name>
<surname>Ceravolo</surname> <given-names>GS</given-names>
</name>
<name>
<surname>Moreira</surname> <given-names>EG</given-names>
</name>
</person-group>. <article-title>Maternal Exposure to Fluoxetine During Gestation and Lactation Does Not Alter Plasma Concentrations of Testosterone, Oestrogen or Corticosterone in Peripubertal Offspring</article-title>. <source>Reprod Fertil Dev</source> (<year>2019</year>) <volume>31</volume>(<issue>5</issue>):<page-range>1002&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1071/RD18279</pub-id>
</citation>
</ref>
<ref id="B61">
<label>61</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sleiman</surname> <given-names>HK</given-names>
</name>
<name>
<surname>de Oliveira</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Langoni de Freitas</surname> <given-names>GB</given-names>
</name>
</person-group>. <article-title>Isoflavones Alter Male and Female Fertility in Different Development Windows</article-title>. <source>BioMed Pharmacother</source> (<year>2021</year>) <volume>140</volume>:<elocation-id>111448</elocation-id>. doi: <pub-id pub-id-type="doi">10.1016/j.biopha.2021.111448</pub-id>
</citation>
</ref>
<ref id="B62">
<label>62</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kao</surname> <given-names>YC</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>C</given-names>
</name>
<name>
<surname>Sherman</surname> <given-names>M</given-names>
</name>
<name>
<surname>Laughton</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Molecular Basis of the Inhibition of Human Aromatase (Estrogen Synthetase) by Flavone and Isoflavone Phytoestrogens: A Site-Directed Mutagenesis Study</article-title>. <source>Environ Health Perspect</source> (<year>1998</year>) <volume>106</volume>(<issue>2</issue>):<fpage>85</fpage>&#x2013;<lpage>92</lpage>. doi: <pub-id pub-id-type="doi">10.1289/ehp.9810685</pub-id>
</citation>
</ref>
<ref id="B63">
<label>63</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Murray</surname> <given-names>TJ</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Sherr</surname> <given-names>DH</given-names>
</name>
</person-group>. <article-title>Growth of a Human Mammary Tumor Cell Line is Blocked by Galangin, a Naturally Occurring Bioflavonoid, and is Accompanied by Down-Regulation of Cyclins D3, E and A</article-title>. <source>Breast Cancer Res</source> (<year>2006</year>) <volume>8</volume>(<issue>2</issue>):<fpage>R17</fpage>. doi: <pub-id pub-id-type="doi">10.1186/bcr1391</pub-id>
</citation>
</ref>
<ref id="B64">
<label>64</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Donovan</surname> <given-names>MG</given-names>
</name>
<name>
<surname>Selmin</surname> <given-names>OI</given-names>
</name>
<name>
<surname>Doetschman</surname> <given-names>TC</given-names>
</name>
<name>
<surname>Romagnolo</surname> <given-names>DF</given-names>
</name>
</person-group>. <article-title>Epigenetic Activation of BRCA1 by Genistein In Vivo and Triple Negative Breast Cancer Cells Linked to Antagonism Toward Aryl Hydrocarbon Receptor</article-title>. <source>Nutrients</source> (<year>2019</year>) <volume>11</volume>(<issue>11</issue>). doi: <pub-id pub-id-type="doi">10.3390/nu11112559</pub-id>
</citation>
</ref>
<ref id="B65">
<label>65</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xuan</surname> <given-names>H</given-names>
</name>
<name>
<surname>Ou</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hao</surname> <given-names>S</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>J</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Galangin Protects Against Symptoms of Dextran Sodium Sulfate-Induced Acute Colitis by Activating Autophagy and Modulating the Gut Microbiota</article-title>. <source>Nutrients</source> (<year>2020</year>) <volume>12</volume>(<issue>2</issue>). doi: <pub-id pub-id-type="doi">10.3390/nu12020347</pub-id>
</citation>
</ref>
<ref id="B66">
<label>66</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ali</surname> <given-names>N</given-names>
</name>
<name>
<surname>Degen</surname> <given-names>GH</given-names>
</name>
</person-group>. <article-title>Urinary Biomarkers of Exposure to the Mycoestrogen Zearalenone and its Modified Forms in German Adults</article-title>. <source>Arch Toxicol</source> (<year>2018</year>) <volume>92</volume>(<issue>8</issue>):<page-range>2691&#x2013;700</page-range>. doi: <pub-id pub-id-type="doi">10.1007/s00204-018-2261-5</pub-id>
</citation>
</ref>
<ref id="B67">
<label>67</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Massart</surname> <given-names>F</given-names>
</name>
<name>
<surname>Meucci</surname> <given-names>V</given-names>
</name>
<name>
<surname>Saggese</surname> <given-names>G</given-names>
</name>
<name>
<surname>Soldani</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>High Growth Rate of Girls With Precocious Puberty Exposed to Estrogenic Mycotoxins</article-title>. <source>J Pediatr</source> (<year>2008</year>) <volume>152</volume>(<issue>5</issue>):<fpage>690</fpage>&#x2013;<lpage>5, 695.e1</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jpeds.2007.10.020</pub-id>
</citation>
</ref>
<ref id="B68">
<label>68</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rivera-N&#xfa;&#xf1;ez</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Barrett</surname> <given-names>ES</given-names>
</name>
<name>
<surname>Szamreta</surname> <given-names>EA</given-names>
</name>
<name>
<surname>Shapses</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Qin</surname> <given-names>B</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Urinary Mycoestrogens and Age and Height at Menarche in New Jersey Girls</article-title>. <source>Environ Health</source> (<year>2019</year>) <volume>18</volume>(<issue>1</issue>):<fpage>24</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12940-019-0464-8</pub-id>
</citation>
</ref>
<ref id="B69">
<label>69</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Brix</surname> <given-names>N</given-names>
</name>
<name>
<surname>Ernst</surname> <given-names>A</given-names>
</name>
<name>
<surname>Lauridsen</surname> <given-names>LLB</given-names>
</name>
<name>
<surname>Parner</surname> <given-names>ET</given-names>
</name>
<name>
<surname>Arah</surname> <given-names>OA</given-names>
</name>
<name>
<surname>Olsen</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Childhood Overweight and Obesity and Timing of Puberty in Boys and Girls: Cohort and Sibling-Matched Analyses</article-title>. <source>Int J Epidemiol</source> (<year>2020</year>) <volume>49</volume>(<issue>3</issue>):<page-range>834&#x2013;44</page-range>. doi: <pub-id pub-id-type="doi">10.1093/ije/dyaa056</pub-id>
</citation>
</ref>
<ref id="B70">
<label>70</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ortega</surname> <given-names>MT</given-names>
</name>
<name>
<surname>McGrath</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Carlson</surname> <given-names>L</given-names>
</name>
<name>
<surname>Flores Poccia</surname> <given-names>V</given-names>
</name>
<name>
<surname>Larson</surname> <given-names>G</given-names>
</name>
<name>
<surname>Douglas</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Longitudinal Investigation of Pubertal Milestones and Hormones as a Function of Body Fat in Girls</article-title>. <source>J Clin Endocrinol Metab</source> (<year>2021</year>) <volume>106</volume>(<issue>6</issue>):<page-range>1668&#x2013;83</page-range>. doi: <pub-id pub-id-type="doi">10.1210/clinem/dgab092</pub-id>
</citation>
</ref>
<ref id="B71">
<label>71</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zurita-Cruz</surname> <given-names>JN</given-names>
</name>
<name>
<surname>Villas&#xed;s-Keever</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Manuel-Apolinar</surname> <given-names>L</given-names>
</name>
<name>
<surname>Damasio-Santana</surname> <given-names>L</given-names>
</name>
<name>
<surname>Gutierrez-Gonzalez</surname> <given-names>A</given-names>
</name>
<name>
<surname>Wakida-Kusunoki</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>Altered Cardiometabolic Profile in Girls With Central Precocious Puberty and Adipokines: A Propensity Score Matching Analysis</article-title>. <source>Cytokine</source> (<year>2021</year>) <volume>148</volume>:<elocation-id>155660</elocation-id>. doi: <pub-id pub-id-type="doi">10.1016/j.cyto.2021.155660</pub-id>
</citation>
</ref>
<ref id="B72">
<label>72</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wei</surname> <given-names>W</given-names>
</name>
<name>
<surname>Schwaid</surname> <given-names>AG</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Chu</surname> <given-names>Q</given-names>
</name>
<etal/>
</person-group>. <article-title>Ligand Activation of Err&#x3b1; by Cholesterol Mediates Statin and Bisphosphonate Effects</article-title>. <source>Cell Metab</source> (<year>2016</year>) <volume>23</volume>(<issue>3</issue>):<page-range>479&#x2013;91</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.cmet.2015.12.010</pub-id>
</citation>
</ref>
<ref id="B73">
<label>73</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>D</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Teng</surname> <given-names>D</given-names>
</name>
<name>
<surname>Li</surname> <given-names>W</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Computational Insights Into the Interaction Mechanisms of Estrogen-Related Receptor Alpha With Endogenous Ligand Cholesterol</article-title>. <source>Chem Biol Drug Des</source> (<year>2019</year>) <volume>94</volume>(<issue>1</issue>):<page-range>1316&#x2013;29</page-range>. doi: <pub-id pub-id-type="doi">10.1111/cbdd.13506</pub-id>
</citation>
</ref>
<ref id="B74">
<label>74</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jensen</surname> <given-names>TK</given-names>
</name>
<name>
<surname>Andersson</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Main</surname> <given-names>KM</given-names>
</name>
<name>
<surname>Johannsen</surname> <given-names>TH</given-names>
</name>
<name>
<surname>Andersen</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Kyhl</surname> <given-names>HB</given-names>
</name>
<etal/>
</person-group>. <article-title>Prenatal Paraben Exposure and Anogenital Distance and Reproductive Hormones During Mini-Puberty: A Study From the Odense Child Cohort</article-title>. <source>Sci Total Environ</source> (<year>2021</year>) <volume>769</volume>:<elocation-id>145119</elocation-id>. doi: <pub-id pub-id-type="doi">10.1016/j.scitotenv.2021.145119</pub-id>
</citation>
</ref>
<ref id="B75">
<label>75</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gopalakrishnan</surname> <given-names>K</given-names>
</name>
<name>
<surname>Teitelbaum</surname> <given-names>SL</given-names>
</name>
<name>
<surname>Lambertini</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wetmur</surname> <given-names>J</given-names>
</name>
<name>
<surname>Manservisi</surname> <given-names>F</given-names>
</name>
<name>
<surname>Falcioni</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Changes in Mammary Histology and Transcriptome Profiles by Low-Dose Exposure to Environmental Phenols at Critical Windows of Development</article-title>. <source>Environ Res</source> (<year>2017</year>) <volume>152</volume>:<page-range>233&#x2013;43</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.envres.2016.10.021</pub-id>
</citation>
</ref>
<ref id="B76">
<label>76</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>D</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>L</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>J</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Urinary Phthalate Metabolites in Primary School Starters in Pearl River Delta, China: Occurrences, Risks and Possible Sources</article-title>. <source>Environ Res</source> (<year>2019</year>) <volume>179</volume>(<issue>Pt B</issue>):<elocation-id>108853</elocation-id>. doi: <pub-id pub-id-type="doi">10.1016/j.envres.2019.108853</pub-id>
</citation>
</ref>
<ref id="B77">
<label>77</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wen</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>SD</given-names>
</name>
<name>
<surname>Lei</surname> <given-names>X</given-names>
</name>
<name>
<surname>Ling</surname> <given-names>YS</given-names>
</name>
<name>
<surname>Luo</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Q</given-names>
</name>
<etal/>
</person-group>. <article-title>Association of PAEs With Precocious Puberty in Children: A Systematic Review and Meta-Analysis</article-title>. <source>Int J Environ Res Public Health</source> (<year>2015</year>) <volume>12</volume>(<issue>12</issue>):<page-range>15254&#x2013;68</page-range>. doi: <pub-id pub-id-type="doi">10.3390/ijerph121214974</pub-id>
</citation>
</ref>
<ref id="B78">
<label>78</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pati&#xf1;o-Garc&#xed;a</surname> <given-names>D</given-names>
</name>
<name>
<surname>Cruz-Fernandes</surname> <given-names>L</given-names>
</name>
<name>
<surname>Bu&#xf1;ay</surname> <given-names>J</given-names>
</name>
<name>
<surname>Palomino</surname> <given-names>J</given-names>
</name>
<name>
<surname>Moreno</surname> <given-names>RD</given-names>
</name>
</person-group>. <article-title>Reproductive Alterations in Chronically Exposed Female Mice to Environmentally Relevant Doses of a Mixture of Phthalates and Alkylphenols</article-title>. <source>Endocrinology</source> (<year>2018</year>) <volume>159</volume>(<issue>2</issue>):<page-range>1050&#x2013;61</page-range>. doi: <pub-id pub-id-type="doi">10.1210/en.2017-00614</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>
