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        <title>Frontiers in Genetics | Statistical Genetics and Methodology section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/genetics/sections/statistical-genetics-and-methodology</link>
        <description>RSS Feed for Statistical Genetics and Methodology section in the Frontiers in Genetics journal | New and Recent Articles</description>
        <language>en-us</language>
        <generator>Frontiers Feed Generator,version:1</generator>
        <pubDate>2026-05-13T21:27:08.544+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1807175</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1807175</link>
        <title><![CDATA[Multivariate GWAS reveals shared genetic basis of common oral diseases]]></title>
        <pubdate>2026-05-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Xiyao Ma</author><author>Xiumei Zheng</author>
        <description><![CDATA[BackgroundOral diseases, including dental caries, periodontitis, pulpitis, and temporomandibular disorders (TMD), impose a substantial global burden affecting billions of individuals and costing an estimated USD 390 billion annually. Despite their frequent clinical co-occurrence, the extent to which these conditions share a common genetic basis remains unclear.MethodsWe analyzed genome-wide association study (GWAS) summary statistics from up to 500,000 Finnish participants. Genome-wide and regional genetic correlations were quantified using High-Definition Likelihood. Genomic Structural Equation Modelling was applied to identify a latent common oral genetic factor (COF). A multivariate GWAS of the COF was conducted, followed by SuSiE fine-mapping. Integrative gene and pathway analyses were performed using cTWAS and MAGMA, and spatial mapping was conducted using embryonic tooth-germ atlases.ResultsWe identified extensive shared heritability across all four oral diseases. A latent COF captured the majority of this genetic overlap. Multivariate GWAS of the COF identified 104 genome-wide significant single-nucleotide polymorphisms aggregated into 96 independent loci, which were largely novel compared to single-trait analyses. Fine-mapping refined these to 53 high-confidence causal variants enriched in immune-regulatory and odontogenic pathways. CPSF1 and SLC20A2 emerged as top-ranked genes, with tissue-specific effects mapped to coronary artery and cultured fibroblasts, respectively. Spatial projection localized genetic risk to follicular and mesenchymal compartments, consistent with developmental tissue differentiation patterns.ConclusionThese findings reveal a shared and developmentally rooted genetic architecture underlying common oral diseases. The results highlight convergent molecular mechanisms and provide a foundation for precision-based, integrated prevention strategies that move beyond traditional single-disease frameworks.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1826365</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1826365</link>
        <title><![CDATA[Correction: A systematic exploration of gut microbiota–driven blood metabolites in sepsis: an integrated bioinformatics and genetic association study]]></title>
        <pubdate>2026-03-26T00:00:00Z</pubdate>
        <category>Correction</category>
        <author>Yanhuo Zhang</author><author>Chenghao Qiu</author><author>Xingyu Li</author><author>Yaling Peng</author><author>Jun Liu</author><author>Peng Zhu</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1733593</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1733593</link>
        <title><![CDATA[Age at natural menopause, reproductive lifespan and Alzheimer’s disease in females: is APOE ε4 the missing link?]]></title>
        <pubdate>2026-03-11T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Francesco Bruno</author><author>Patrizia Spadafora</author><author>Paolo Abondio</author><author>Antonio Qualtieri</author><author>Ersilia Paparazzo</author><author>Mirella Aurora Aceto</author><author>Ida Veltri</author><author>Selene De Benedittis</author><author>Beatrice Maria Greco</author><author>Annamaria Cerantonio</author><author>Luigi Citrigno</author><author>Gemma Di Palma</author><author>Olivier Gallo</author><author>Giuseppe Passarino</author><author>Alberto Montesanto</author><author>Francesca Cavalcanti</author>
        <description><![CDATA[BackgroundThe apolipoprotein E (APOE) gene represents the strongest genetic determinant of sporadic Alzheimer’s disease (AD), yet its interaction with sex-specific endocrine factors remains poorly understood. Lifetime estrogen exposure, estimated through reproductive lifespan, may modulate neurodegenerative risk, but findings are inconsistent. Previous studies have examined reproductive factors and APOE interactions in relation to cognitive outcomes, but dose-dependent effects across all APOE alleles (ε2, ε3, ε4) in clinically diagnosed AD patients remain underexplored. This study investigates the joint effects of reproductive lifespan, age at natural menopause (ANM), and APOE genotype on AD risk in females.MethodsA total of 396 female participants (103 with AD, 293 cognitively healthy controls) were retrospectively analyzed. Demographic, clinical, and reproductive data were extracted from medical records. APOE genotyping was performed by sequencing rs429358 and rs7412 polymorphisms. Logistic regression models tested associations between ANM, reproductive lifespan, and AD diagnosis, adjusting for education, body mass index (BMI), smoking, diabetes, hypertension, and number of children. Moderation analyses assessed the interaction between reproductive variables and APOE ε2, ε3, and ε4 alleles, and were followed by simple slope analyses to clarify the direction of significant effects.ResultsAD females exhibited later ANM (50.3 ± 4.4 vs. 48.3 ± 6.2 years; p = 0.004) and longer reproductive lifespan (37.4 ± 4.4 vs. 35.4 ± 6.0 years; p = 0.005) than controls. Both ANM and reproductive lifespan independently predicted higher AD risk (adjusted OR = 1.07, 95% CI = 1.02–1.12, p < 0.01). These effects were amplified by APOE ε4 and attenuated by ε3, while ε2 showed no influence. Simple slope analyses confirmed an allele-specific gradient, with the association between later menopause and AD risk steepest in ε4 carriers and absent in high ε3 carriers.ConclusionThis work provides novel evidence that extended ovarian function is associated with increased AD vulnerability in females, particularly among APOE ε4 carriers. These findings highlight a dose-dependent, genotype-specific interaction between reproductive aging and neurodegeneration, suggesting APOE as a molecular bridge linking estrogenic exposure and AD risk.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1758565</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1758565</link>
        <title><![CDATA[GViT-GP: injecting the genomic relationship matrix as an inductive bias into a vision transformer via cross-attention for genomic prediction]]></title>
        <pubdate>2026-03-09T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Jingxuan Li</author><author>Wei Luo</author><author>Honghao Yu</author><author>Xishi Huang</author><author>Jisi Ma</author><author>Shijun Li</author><author>Yong Li</author><author>Lantao Gu</author>
        <description><![CDATA[IntroductionGenomic Prediction (GP) faces significant challenges in balancing model complexity with computational efficiency, particularly for high-dimensional genomic data under limited sample sizes.MethodsWe propose GViT-GP, a Vision Transformer architecture that injects the Genomic Relationship Matrix (GRM) as a biological prior via a dual-pathway cross-attention fusion mechanism, coupled with a Selective Patch Embedding strategy to reduce redundancy and improve data efficiency.ResultsWe evaluated GViT-GP on 20 traits across four datasets from three species (soybean, cattle, and chicken). GViT-GP outperformed established linear and non-linear baselines (including GBLUP, LightGBM, and DNNGP), achieving the best accuracy in 16/20 tasks. Ablation studies supported the effectiveness of Selective Patch Embedding and cross-attention fusion, and visualization analyses suggest adaptive attention to informative genomic regions.DiscussionThese results indicate that injecting GRM-informed inductive bias improves robustness and generalization in “p ≫ n” settings. GViT-GP provides a practical, high-performance framework for capturing complex genotype–phenotype relationships in modern digital breeding.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1754817</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1754817</link>
        <title><![CDATA[A systematic exploration of gut microbiota–driven blood metabolites in sepsis: an integrated bioinformatics and genetic association study]]></title>
        <pubdate>2026-03-02T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yanhuo Zhang</author><author>Chenghao Qiu</author><author>Xingyu Li</author><author>Yaling Peng</author><author>Jun Liu</author><author>Peng Zhu</author>
        <description><![CDATA[IntroductionAlterations in the blood metabolome are closely associated with sepsis, while the gut microbiota (GM) plays a crucial role in modulating both sepsis progression and circulating metabolites. However, whether the effects of the GM on sepsis are mediated through blood metabolites remains unclear.MethodsTo determine whether the effects of the GM on sepsis are mediated through blood metabolites, we performed a two-sample Mendelian randomization (MR) analysis combined with a two-step MR framework to identify potential metabolic mediators. Comprehensive bioinformatics analyses were integrated to construct interaction networks using Cytoscape, and pharmacodynamic experiments were conducted in a murine sepsis model.ResultsWe identified 23 GM taxa and 169 blood metabolites significantly associated with sepsis. Two-step MR analysis revealed that 15 metabolites mediated the causal relationships between 12 GM taxa and sepsis, with mediation proportions ranging from 3.70% to 13.70%. A total of 131 potential molecular targets were predicted for these metabolites, and network analysis highlighted five key metabolites and seven central targets. Molecular docking demonstrated strong binding affinities between these metabolites and their targets. Notably, gulonic acid (GA) and 4-hydroxyphenylacetic acid (4-HPA), driven by Lentisphaerae, Lentisphaeria, and Victivallales, significantly improved survival and attenuated organ injury and inflammation in septic mice.DiscussionCollectively, this study provides evidence supporting a causal role of the GM in sepsis, which mediated in part by blood metabolites. These findings highlight the therapeutic potential of targeting both the GM and GM-driven metabolites as novel interventions for sepsis.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2026.1785502</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2026.1785502</link>
        <title><![CDATA[Novel LARS2 variants in patients with Perrault syndrome: expanding the genetic spectrum and phenotypic heterogeneity]]></title>
        <pubdate>2026-02-18T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Zibin Lin</author><author>Jiale Xiang</author><author>Xiangzhong Sun</author><author>Xinyu Shi</author><author>Xiaozhou Liu</author><author>Qinming Cai</author><author>Jing Yang</author><author>Nana Song</author><author>Haodong Ye</author><author>Jiangfan Xu</author><author>Jiguang Peng</author><author>Xianghong Ou</author><author>Yu Sun</author><author>Zhiyu Peng</author>
        <description><![CDATA[BackgroundPerrault syndrome (PS) is a rare autosomal recessive disorder characterized by sensorineural hearing loss (SNHL) and primary ovarian insufficiency in females. LARS2, encoding mitochondrial leucyl-tRNA synthetase, is the most common causative gene for PS. However, the genetic spectrum and clinical variability of PS remain underexplored. Expanding the catalog of LARS2 variants and correlating them with phenotypic data are critical for delineating genotype-phenotype relationships.MethodsTwo unrelated Chinese probands with hearing loss were enrolled, and comprehensive clinical evaluations were performed. Whole-exome sequencing (WES) was used to identify genetic variants, followed by Sanger sequencing for family co-segregation verification. Minigene assays and RT-PCR were conducted to assess the splicing effect of the novel canonical splice-site variant LARS2 c.235-2A>G. For the novel missense variant LARS2 c.1661T>C, 3-D structural modeling and evolutionary conservation analysis were performed to evaluate its pathogenicity. Moreover, we comprehensively summarized all LARS2 variants associated with PS via an extensive literature review.ResultsProband 1 (12-year-old female) harbors compound heterozygous variants LARS2 c.235-2A>G (novel) and LARS2 c.880G>A, presenting with profound SNHL, primary ovarian insufficiency, and developmental delay. Proband 2 (7-year-old male) carries compound heterozygous variants LARS2 c.1661T>C (novel) and LARS2 c.1886C>T, manifesting severe SNHL with an unusual upsloping audiogram pattern and comprehension difficulties. Functional assays confirmed that LARS2 c.235-2A>G disrupts canonical splicing, leading to exon 4 skipping and in-frame deletions. 3-D structural modeling and conservation analysis revealed that LARS2 c.1661T>C likely impairs protein stability by altering residue interactions, with Val554 being highly conserved across species. According to the ACMG/AMP guideline, both novel LARS2 variants were classified as likely pathogenic.ConclusionWe identified two novel LARS2 variants associated with PS in Chinese patients, thereby expanding the LARS2 genetic spectrum and providing precise molecular evidence for clinical management and genetic counseling. This study enhances understanding of genotype-phenotype correlations in PS, thereby revealing the phenotypic heterogeneity of LARS2 variants.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1708315</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1708315</link>
        <title><![CDATA[Automatic detection of n-degree family members]]></title>
        <pubdate>2025-12-12T00:00:00Z</pubdate>
        <category>Technology and Code</category>
        <author>Emil M. Pedersen</author><author>Jette Steinbach</author><author>Carsten B. Pedersen</author><author>Andrew J. Schork</author><author>Morten D. Krebs</author><author>Bjarni J. Vilhjálmsson</author><author>Florian Privé</author>
        <description><![CDATA[Summary: Family-based genetic studies often require the identification of relatives up to a specified degree, but existing tools are either restricted to second-degree relatives, return entire connected pedigrees, or require multiple pre- or post-processing steps. We implemented five new functions, namely, prepare_graph, get_kinship, graph_to_trio, get_relations, and Relation_per_proband_plot, in the R package LTFHPlus to address these limitations. prepare_graph constructs a directed graph from population-level trio data using the igraph package and supports attaching additional attributes to individuals. From this graph, relatives of arbitrary degree can be identified efficiently. get_kinship calculates a kinship matrix for all individuals in a (sub)graph, and graph_to_trio reconstructs trio information from identified families, enabling downstream use with other pedigree tools. In addition, familial relations can be labelled from the graph using the function get_relations, and the total and average of each relation per proband can be plotted using Relation_per_proband_plot. Using the publicly available minnbreast dataset, we constructed a graph containing 28,081 individuals and 30,720 familial edges. Across 1,000 repetitions, the median run-time for identifying all relatives up to the third degree for 500 randomly selected individuals was 0.03 s, and kinship matrix calculation had a median run-time of 1.57 s (single-threaded execution). These functions provide a reproducible, scalable, and interoperable solution for integrating family information into genetic analyses.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1710252</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1710252</link>
        <title><![CDATA[Molecular mechanisms of TTC21B gene mutations in nephronophthisis type 12 and genetic prevention through PGT]]></title>
        <pubdate>2025-11-26T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Kai Deng</author><author>Jingjing Li</author><author>Xitao Hu</author><author>Huijuan Wei</author><author>Chenyi Wang</author><author>Qingqing Cheng</author><author>Yu Jiang</author><author>Liyi Cai</author><author>Di Tang</author><author>Guiju Cao</author><author>Xiaoyan Wang</author>
        <description><![CDATA[ObjectiveTo elucidate the pathogenic mechanism of nephronophthisis type 12 (NPHP12) caused by compound heterozygous mutations in the TTC21B gene and to implement preimplantation genetic testing (PGT) for clinical prevention.MethodsWe retrospectively analyzed the clinical data of a pediatric proband with NPHP12. The impact of the identified TTC21B mutations (c.895T>C and c.1552T>C) on pre-mRNA splicing, protein structure, and stability was assessed using bioinformatics tools. Functional validation was performed through in vitro rescue experiments in renal podocytes, quantifying effects on cellular morphology, ciliogenesis, and ciliary length. For preimplantation genetic testing (PGT), SNP haplotype analysis was employed for embryo selection.ResultsThe proband presented with renal failure and compound heterozygous TTC21B mutations (paternal c.895T>C [p.C299R] and maternal c.1552T>C [p.C518R]). Bioinformatics suggested potential splicing impacts, but minigene assays did not validate this. While c.895T>C had a minor impact on protein structure, c.1552T>C significantly altered the tertiary structure and stability. TTC21B knockdown disrupted podocyte morphology, which was fully rescued by wild-type TTC21B but only partially by either mutant. Both mutations impaired ciliogenesis and shortened ciliary length. PGT-M identified a mutation-free embryo (Embryo 1) for transfer, resulting in a healthy live birth.ConclusionThe compound heterozygous mutations c.895T>C (p.C299R) and c.1552T>C (p.C518R) in TTC21B contribute to NPHP12 by disrupting ciliogenesis and podocyte morphology. These findings provide targets for PGT-based embryo selection, successfully preventing the familial recurrence of this disease.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1692704</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1692704</link>
        <title><![CDATA[Identification and functional analysis of a novel CSNK2A1 frameshift variant in stillbirth]]></title>
        <pubdate>2025-10-27T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Nannan Zhang</author><author>Miao Han</author><author>Tong Zhao</author><author>Xinxin Tang</author><author>Zhiwei Wang</author><author>Yunqiu Du</author><author>Leilei Wang</author>
        <description><![CDATA[BackgroundCasein Kinase II Subunit Alpha (CK2α), the catalytic subunit of protein kinase CK2, is encoded by CSNK2A1. This kinase catalyzes substrate phosphorylation and regulates diverse cellular processes including cell cycle progression, apoptosis, and transcription. CSNK2A1 is associated with Okur-Chung Neurodevelopmental Syndrome (OCNS, OMIM: 617062). Although CSNK2A1 functional deficiency is implicated in impaired embryonic development, prenatal case reports remain scarce.MethodsClinical data and fetal umbilical cord blood samples were collected. Whole-genome sequence (WGS) was used for potential pathogenic variants identification, followed by Sanger sequencing to validate the variant. Bioinformatic tools were employed to predict the 3D structure of the variant. Wild-type and mutant CSNK2A1 overexpression plasmids were constructed to investigate the functional consequences of the variant.ResultA 33-year-old pregnant woman without adverse obstetric history. At 34+4 weeks, ultrasound showed an intracranial abnormal echoes, multiple cardiovascular anomalies, and stillbirth had occurred at 35 weeks. WGS identified a novel frameshift mutation c.1020_1021delAG (p.Gly342Glnfs*57) in the CSNK2A1 gene. Bioinformatics analysis indicated structural modification in mutant proteins. In vitro kinase assays showed that the variant did not impair kinase activity. Quantitative analysis demonstrated significantly elevated mutant mRNA levels but reduced protein expression compared to wild-type. Elevated ubiquitination in mutants potentially explains diminished CSNK2A1 protein abundance.ConclusionWe report a novel CSNK2A1 frameshift mutation that significantly reduces protein expression and impairs gene function. These findings expand our understanding of CSNK2A1’s genetic diversity and underscore the importance of comprehensive functional analyses to achieve accurate diagnosis. This study facilitates prenatal diagnosis of CSNK2A1-related disorders and informs clinical decision-making for carriers.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1686184</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1686184</link>
        <title><![CDATA[A novel dinucleotide variant at 5′ splice sites in the F8 gene causes exon 19 skipping in a Chinese family with hemophilia A]]></title>
        <pubdate>2025-10-16T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Xunzhao Zhou</author><author>Qi Yang</author><author>Qiuli Chen</author><author>Sheng Yi</author><author>Shengkai Wei</author><author>Jingsi Luo</author><author>Dahua Meng</author><author>Zailong Qin</author><author>Shujie Zhang</author>
        <description><![CDATA[BackgroundHemophilia A is a rare, severe X-linked recessive inherited hemorrhagic disorder caused by F8 gene dysfunction, which is characterized by spontaneous or post-traumatic bleeding tendencies. The pathogenic variants identified in the F8 gene contribute to prenatal diagnosis and genetic counseling services for patients and their families.MethodsWe used inverse shifting-PCR (IS-PCR), direct DNA sequencing, bioinformatics predictions, cDNA sequencing, and minigene splicing assays to explore candidate variants in a Chinese family with hemophilia A. The identified variant was classified in accordance with ACMG/AMP guidelines.ResultsA novel c.6115+5_6115+6delinsAG variant at 5′ splice sites (5’ss) in exon 19 was identified in a 14-year-old Chinese boy with hemophilia A by DNA sequencing, which is inherited from his asymptomatic carrier mother. Multiple bioinformatics prediction tools, including SD-Score, information content (Ri), varSEAK, and RDDC RNA splicer, predicted that this variant might affect the normal pre-mRNA splicing. Both cDNA sequencing and minigene splicing assays proved that the variant led to exon 19 skipping in the F8 gene, which was ultimately classified as pathogenic according to the ACMG/AMP guidelines.ConclusionThe c.6115+5_6115+6delinsAG variant in the F8 gene is considered to be responsible for hemophilia A in this family. This dinucleotide variant located at 5’ss of the gene is initially reported. Our study has expanded the mutation spectrum of F8 and provided a basis for prenatal and clinical diagnosis.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1617504</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1617504</link>
        <title><![CDATA[Mining for gene-environment and gene-gene interactions: parametric and non-parametric tests for detecting variance quantitative trait loci]]></title>
        <pubdate>2025-09-01T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Wan-Yu Lin</author>
        <description><![CDATA[IntroductionDetection of variance quantitative trait loci (vQTL) can facilitate the discovery of gene-environment (GxE) and gene-gene interactions (GxG). Identifying vQTLs before direct GxE and GxG analyses can considerably reduce the number of tests and the multiple-testing penalty.MethodsDespite some methods proposed for vQTL detection, few studies have performed a head-to-head comparison simultaneously concerning false positive rates (FPRs), power, and computational time. This work compares three parametric and two non-parametric vQTL tests.ResultsSimulation studies show that the deviation regression model (DRM) and Kruskal-Wallis test (KW) are the most recommended parametric and non-parametric tests, respectively. The quantile integral linear model (QUAIL, non-parametric) appropriately preserves the FPR under normally or non-normally distributed traits. However, its power is never among the optimal choices, and its computational time is much longer than that of competitors. The Brown-Forsythe test (BF, parametric) can suffer from severe inflation in FPR when SNP’s minor allele frequencies <0.2. The double generalized linear model (DGLM, parametric) is not valid for non-normally distributed traits, although it is the most powerful method for normally distributed traits.DiscussionConsidering the robustness (to outliers) and computation time, I chose KW to analyze four lipid traits in the Taiwan Biobank. I further showed that GxE and GxG were enriched among 30 vQTLs identified from the four lipid traits.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1663455</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1663455</link>
        <title><![CDATA[Compound heterozygous missense and intronic variants in B9D1 contribute to a recurrent Meckel syndrome pedigree]]></title>
        <pubdate>2025-08-26T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Huining Jing</author><author>Bocheng Xu</author><author>Hao Wang</author><author>Shanling Liu</author><author>He Wang</author><author>Jingqun Mai</author><author>Wencong Yao</author><author>Zhu Zhang</author>
        <description><![CDATA[BackgroundMeckel syndrome (MKS) is an embryonically lethal ciliopathy with severe clinical manifestations, including defects of the central nervous system, bilateral renal cystic dysplasia, and postaxial polydactyly. B9 domain-containing 1 (B9D1, NP_056496.1) is a member of a small family of proteins associated with basal bodies and primary cilia in mammalian cells. B9D1 variants are associated with MKS and Joubert syndrome. However, to date, only a few cases have been reported.MethodsIn this study, we investigated a prenatally diagnosed recurrent MKS pedigree. Two fetuses of different sexes were conceived by nonconsanguineous parents. Systematic color Doppler ultrasound revealed same malformations in both fetuses during the second trimester, which included meningoencephalocele, Dandy-Walker malformation, and postaxial polydactyly. Trio whole exome sequencing (WES) and WES reanalysis were performed. The presence and effects of these variants were further validated using Sanger sequencing, RT-PCR, and minigene splicing assay at the DNA and RNA levels.ResultsTwo compound heterozygous variants, c.341G>T (p.R114L) and c.405-308_405-304del, were identified in both probands, each inherited from one unaffected parent. Both variants led to abnormal splicing. Specifically, the missense mutation c.341G>T caused the skipping of exon 4, whereas the novel deep-intronic variant c.405-308_405-304del created a new and strong acceptor site at c.405-294_405-293. Pathogenicity analysis indicated that both variants were pathogenic.ConclusionThis report presents a rare pedigree of recurrent MKS, in which two novel mutations in B9D1 are identified. Our findings expand the mutation spectrum of B9D1 and provide an accurate molecular diagnosis for genetic counseling.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1654336</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1654336</link>
        <title><![CDATA[Unraveling the pathogenicity role of the novel compound heterozygous mutations of MED25 gene in a Chinese patient with BVSYS]]></title>
        <pubdate>2025-08-20T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Linbing Zou</author><author>Ruikang Qiu</author><author>Zhijun Dai</author><author>Yulei Li</author><author>Yunjiao Liao</author><author>Yan Zhou</author>
        <description><![CDATA[IntroductionMediator of RNA polymerase II transcription subunit 25 (MED25), a crucial component of the transcriptional coactivator complex, plays a significant role in the transcription of most RNA polymerase II-dependent genes. Mutations in MED25 have been linked to various genetic syndromes, including Basel-Vanagaite-Smirin-Yosef Syndrome (BVSYS) and Intellectual Disability (ID). This study elucidated the molecular mechanism through which compound heterozygous mutations in the MED25 gene impaired pre-mRNA splicing, ultimately causing BVSYS.MethodsWhole exome sequencing (WES) was performed to identify genetic variants, followed by Sanger sequencing for validation. Clinical data were correlated with established MED25-related syndrome phenotypes. Bioinformatics tools were utilized to predict splicing effects and protein structural alterations. Functional characterization involved in vitro minigene splicing assays for the c.1965+1dup mutation and RT-PCR analysis of patient-derived transcripts, while the impact of p.R224G was assessed through protein structure modeling.ResultsThe proband presented with clinical manifestations such as cognitive impairment, language difficulties, intellectual disability, and microcephaly. The study identified a compound heterozygous mutation in the MED25 gene (NM_030973.4), consisting of c.670C>G (p.R224G) and c.1965+1dup, which was associated with the observed clinical phenotype. Bioinformatics analysis and in vivo/in vitro splicing assays demonstrated that the c.1965+1dup mutation disrupts MED25 pre-mRNA splicing, whereas the c.670C>G (p.R224G) variant does not exhibit this effect. However, bioinformatics analysis suggested that the mutation c.670C>G (p.R224G) may affect gene function by altering the structure of the MED25 protein.ConculsionThese findings demonstrated that two mutation sites identified in the MED25 gene in this case are pathogenic or likely pathogenic and may be associated with the clinical phenotype of the proband in this study.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1416673</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1416673</link>
        <title><![CDATA[Winner’s curse in rare variant analysis: effect size estimation bias depends on effect direction and the association method used]]></title>
        <pubdate>2025-08-08T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>David Soave</author><author>Melisa Hayalioglu</author><author>Lei Sun</author>
        <description><![CDATA[For complex human traits, a large portion of genetic heritability remains unaccounted for beyond common genetic variants; therefore, estimating the contribution of rare variants (RVs) to the etiology of complex traits is of interest. Research in this domain has primarily focused on gene-based RV testing methods, in which information from multiple variants is combined to maximize statistical power in detecting genes associated with the trait of interest. However, after discovering an association, estimating individual effects becomes challenging due to sample size limitations. Hence, the focus may shift to estimating the average genetic effect (AGE) for the group of RVs analyzed. This study demonstrates that both AGEs and individual variant effects can be influenced by competing upward and downward biases, resulting from the winner’s curse and the heterogeneity of individual variant effects, respectively. Various bias-correction techniques, including bootstrap resampling and likelihood-based methods, have been proposed to address the winner’s curse bias. We conduct a simulation study to illustrate the ramifications of these competing biases on variant effect size estimation and how they complicate the precision of pooled estimates obtained from different bias-correction techniques. We then examine the individual effect estimates of the causal variants across the simulation replicates to show how they may contribute to the observed upward and downward biases when RVs are pooled.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1660021</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1660021</link>
        <title><![CDATA[Correction: Association between genetically proxied glucosamine and risk of cancer and non-neoplastic disease: a mendelian randomization study]]></title>
        <pubdate>2025-08-07T00:00:00Z</pubdate>
        <category>Correction</category>
        <author>Yingtong Wu</author><author>Yinggang Che</author><author>Yong Zhang</author><author>Yanlu Xiong</author><author>Chen Shu</author><author>Jun Jiang</author><author>Gaozhi Li</author><author>Lin Guo</author><author>Tianyun Qiao</author><author>Shuwen Li</author><author>Ou Li</author><author>Ning Chang</author><author>Xinxin Zhang</author><author>Minzhe Zhang</author><author>Dan Qiu</author><author>Hangtian Xi</author><author>Jinggeng Li</author><author>Xiangxiang Chen</author><author>Mingxiang Ye</author><author>Jian Zhang</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1636065</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1636065</link>
        <title><![CDATA[An interpretable machine learning model for predicting myocardial injury in patients with high cervical spinal cord injury]]></title>
        <pubdate>2025-08-04T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Jiaqi Li</author><author>Bingyu Zhang</author><author>Ye Liao</author><author>Liqin Wei</author><author>Qinfeng Huang</author><author>Lijun Lin</author><author>Jiaxin Chen</author><author>Hui Chen</author>
        <description><![CDATA[BackgroundHigh cervical spinal cord injury (HCSCI) is associated with severe autonomic dysfunction and an increased risk of cardiovascular complications, including myocardial injury. However, early identification of myocardial injury remains challenging because of the lack of predictive tools.MethodsA total of 454 patients with HCSCI were retrospectively enrolled and categorized into myocardial injury (n = 101) and non-injury (n = 353) groups. Univariate and multivariate logistic regression analyses were used to identify independent risk factors. Four machine learning (ML) models—logistic regression, gradient boosting machine (GBM), neural network (NeuralNetwork), and adaptive boosting (AdaBoost)—were constructed to predict myocardial injury, and model performance was evaluated using the area under the curve (AUC), F1 score, and average precision (AP). SHapley Additive exPlanations (SHAP) was applied for model interpretability.ResultsMultivariate analysis identified dyspnea [odds ratio (OR) = 3.32; 95% confidence interval (CI): 1.49–7.39] and low hematocrit (OR = 2.18; 95% CI: 1.04–4.57) as independent predictors of myocardial injury. Among the ML models, the neural network model achieved the highest AUC and F1 score in the testing set and demonstrated superior calibration and net clinical benefit. The SHAP analysis revealed that dyspnea, low-density lipoprotein (LDL), spinal cord segment level, paralysis status, hematocrit, and myocardial injury stage were the top predictors. Individualized SHAP force plots illustrated the contribution of each feature to prediction outcomes.ConclusionWe developed an interpretable ML model capable of accurately predicting myocardial injury in patients with HCSCI. The neural network model showed the best overall performance and, with SHAP interpretation, provided transparent and individualized risk insights, supporting early diagnosis and targeted management in clinical practice.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1649410</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1649410</link>
        <title><![CDATA[Editorial: Expanding insights into structure, function, and disorder of genome by the power of artificial intelligence in bioinformatics]]></title>
        <pubdate>2025-07-28T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Hongqiang Lyu</author><author>Yao Li</author><author>Sijia Wu</author><author>Laiyi Fu</author><author>Xiaoping Liang</author><author>Erhu Liu</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1611138</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1611138</link>
        <title><![CDATA[Identification of a PATL2 missense variant (c.877G>T) disrupting canonical splicing and contributing to female infertility]]></title>
        <pubdate>2025-07-09T00:00:00Z</pubdate>
        <category>Brief Research Report</category>
        <author>Hongyan Li</author><author>Yue Lin</author><author>Weixu Ma</author><author>Ting Yu</author><author>Lingfeng Dong</author><author>Yankun Chen</author><author>Shuming Fan</author><author>Guoqun Luo</author><author>Jingwen Zhang</author><author>Ge Song</author>
        <description><![CDATA[BackgroundPATL2 deficiency is a significant cause of female infertility. Although multiple PATL2 missense variants have been reported in prior studies, a number of these variants remain classified as variants of uncertain significance (VUS).MethodsWe present a patient of primary infertility characterized by oocyte maturation disorders and fertilization failure. Comprehensive genetic analysis was conducted through whole-exome sequencing (WES) to identify pathogenic variants, followed by Sanger sequencing for familial co-segregation analysis. Reverse transcription (RT-PCR), cDNA sequencing and quantitative RT-PCR were performed to validate the effect of the variant on pre-mRNA splicing.ResultsWe identified compound heterozygous variants in the PATL2 gene by WES: a pathogenic splice-site splicing variant (c.223-14_223-2del) and a missense variant (c.877G>T) initially classified as a VUS. Sanger sequencing confirmed that the proband carried biallelic variants, whereas her sisters with either wild-type genotypes or a single heterozygous variant exhibited normal fertility, supporting the co-segregation of the identified variants. Critically, RNA assays demonstrated that the missense variant c.877G>T disrupts canonical splicing of PATL2, resulting in exon 12 skipping.ConclusionThis study provides the first experimental evidence that a PATL2 missense variant (c.877G>T) can exert its pathogenicity through aberrant splicing, supporting its pathogenic reclassification and elucidating a genotype-phenotype correlation for PATL2 missense variants through functional assays.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1515260</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1515260</link>
        <title><![CDATA[A novel missense variant of HS6ST2 gene in Paganini-Miozzo syndrome with a rare neurodevelopmental and Endocrine phenotypes]]></title>
        <pubdate>2025-07-04T00:00:00Z</pubdate>
        <category>Brief Research Report</category>
        <author>Meiling Zhang</author><author>Xiao Chang</author><author>Xiaoyun Du</author><author>Zhen Chen</author><author>Xinyue Zhang</author><author>Fucheng Cai</author>
        <description><![CDATA[Paganini-Miozzo syndrome (MRXSPM) is a globally rare disease caused by hemizygous mutations in the HS6ST2 gene on chromosome Xq26. This study presents the first case of MRXSPM in China, meanwhile the fourth case worldwide. The proband was admitted to the hospital due to developmental delay. Whole exome sequencing (WES) revealed a novel variant, c.764C>A (p.Pro255Glu) missense mutation in the HS6ST2 gene. Brain CT showed mild lateral ventricular enlargement, and electroencephalogram showed diffuse spikes and waves. Biochemical tests indicated significantly elevated transaminases, blood lactate values, and lactate/pyruvate values. Bioinformatics predictions suggest that this mutation may affect the thermal stability of the HS6ST2 protein. The amino acid where the mutation c.764C>A p.P255Q occurs is conserved across multiple species, specifically being proline in 13 species. In vitro cell experiments demonstrated that this mutant can impact the expression of HS6ST2 protein at post-transcriptional level. Comparison with previously reported cases revealed that different mutations might lead to different alternations in the function of HS6ST2 protein, resulting in distinct clinical phenotypes.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fgene.2025.1602234</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fgene.2025.1602234</link>
        <title><![CDATA[Topologically associating domains of chromatin on single-cell Hi-C data: a survey of bioinformatic tools and applications in the light of artificial intelligence]]></title>
        <pubdate>2025-07-01T00:00:00Z</pubdate>
        <category>Mini Review</category>
        <author>Hongqiang Lyu</author><author>Yao Li</author><author>Xinran Chen</author><author>Yuan Liu</author><author>Erhu Liu</author><author>Xiaoliang Cheng</author>
        <description><![CDATA[Topologically associating domains (TADs) uncovered on bulk Hi-C data are regarded as fundamental building blocks of a three-dimensional genome, and they are believed to effectively participate in the regulatory programs of gene expression. The computational analysis of TADs on single-cell Hi-C (scHi-C) data in the era of single-cell transcriptomics has received continuous attention since it may provide information beyond that on bulk Hi-C data. Unfortunately, the contact matrix for a single cell is ultra-sparse due to the low sequencing depth. Coupled with noises, artifacts, and dropout events from experiments, as well as cell heterogeneity caused by the cell cycle and transcription status, the computational analysis of TAD structures at the single-cell level has encountered some challenges not encountered at the bulk level. Herein, conduct a survey of bioinformatic tools and applications for TAD structures at the single-cell level in the light of artificial intelligence, including imputation of scHi-C data, identification of TAD boundaries and hierarchy, and differential analysis of TAD structures. The categories, characteristics, and evolutions of the latest available methods are summarized, especially the artificial intelligence strategies involved in these issues. This is followed by a discussion on why deep neural networks are attractive when discovering complex patterns from scHi-C data with an enormous number of cells and how it promotes the computational analysis of TADs at the single-cell level. Furthermore, the challenges that may be encountered in the analysis are outlined, and an outlook on the emerging trends in the near future is presented cautiously.]]></description>
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