- 1Centro de Investigaciones Endocrinológicas “Dr. César Bergadá” (CEDIE) CONICET – FEI – División de Endocrinología, Hospital de Niños Ricardo Gutiérrez (HNRG), Buenos Aires, Argentina
- 2Unidad de Medicina Traslacional, Hospital de Niños Ricardo Gutiérrez (HNRG), Buenos Aires, Argentina
- 3Cátedra de Genética. Departamento de Microbiología, Inmunología, Biotecnología y Genética. Facultad de Farmacia y Bioquímica. Universidad de Buenos Aires. Hospital de Clínicas “José de San Martín”, Buenos Aires, Argentina
- 4Instituto de Inmunología, Genética y Metabolismo (INIGEM). CONICET-Universidad de Buenos Aires. Hospital de Clínicas “José de San Martín”, Buenos Aires, Argentina
- 5Departamento de Bioquímica Clínica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Córdoba, Argentina
- 6Centro de Investigaciones en Bioquímica Clínica e Inmunología, Consejo Nacional de Investigaciones Científicas y Técnicas (CIBICI-CONICET), Córdoba, Argentina
Background: Lower thyrotropin (TSH) cutoffs for Congenital Hypothyroidism (CH) during the neonatal period and childhood have led to increased detection of Mild Isolated Hyperthyrotropinemia (MIH) or Subclinical Hypothyroidism; however, genetic testing has been limited in this setting. We aimed to evaluate the contribution and molecular spectrum of genetic variants in MIH.
Methods: Ten patients underwent targeted Next-Generation Sequencing (NGS). Data was analyzed for Single Nucleotide Variants (SNVs), short insertions/deletions, noncanonical splice site (NCSS) variants, and Copy Number Variants (CNVs) in 13 candidate genes associated with thyroid dyshormonogenesis and isolated thyroid hypoplasia. To provide an expanded view of the genes and variants associated with MIH, we performed a Systematic Review (SR) and variant reclassification.
Results: Eight monoallelic SNVs affecting 4 genes were identified in 5 subjects. A potential digenic or pseudo-digenic inheritance was identified in 3 infants. One novel variant was found in the TG gene. Genetic diagnosis, established based on the inheritance pattern, zygosity, pathogenicity of the variant, and genotype-phenotype correlation, was highly suggested in 4 patients. Through SR, we created a valuable database resource of 122 unique reclassified SNVs comprising 173 patients.
Conclusion: Results provide further evidence for the elucidation of the genetic etiology of MIH and expand the phenotypic and variant spectrum of CH. Future, more extensive prospective studies are needed to investigate the utility of NGS in guiding treatment decisions and predicting prognosis for MIH patients.
1 Introduction
Congenital hypothyroidism (CH) is the most common endocrine disease of newborns. Its incidence varies between 1:2000 and 1:4000 in the world (1). Many countries conduct newborn screening (NBS) tests for CH, resulting in a rapid diagnosis and appropriate treatment for numerous patients, thus preventing neurodevelopmental, growth, and behavioral problems associated with untreated CH. The nationwide NBS program of CH, implemented in 1990 in Argentina, identifies children with high TSH levels, with an incidence of 1:2,367 (2).
The incidence of CH has doubled over the last two decades, particularly in cases with gland-in-situ (GIS). Several factors have been proposed to explain this upward trend, including the lowering of the thyrotropin (TSH) cut-off value for CH, the increased survival of extremely preterm infants, who are at greater risk for CH, and the higher prevalence of consanguineous families in several countries (3, 4).
The etiology of primary CH has been traditionally classified as thyroid dysgenesis (TD) or thyroid dyshormonogenesis (TDH). TDH occurs due to any defect in the steps of hormone biosynthesis and usually presents with a structurally normal-sized or goitrous thyroid. TDH constitutes 10–15% of CH patients and is often familial. TD usually occurs because of an ectopic thyroid or athyreosis, with thyroid hypoplasia as the least common cause (5, 6).
Subclinical hypothyroidism (SCH) or Mild Isolated Hyperthyrotropinemia (MIH) is usually defined as a serum TSH concentration above the biochemically defined upper limit of the reference range when serum-free T4 (FT4) concentration is within its reference range and characterized by a normal-sized or hypoplastic thyroid gland (7, 8). Of note, in the literature, the definition of SCH, and even that of CH, can be arbitrary and vary between studies.
Newborns with MIH may have transient impairment of thyroid function due to environmental or mother-derived causes. During childhood, the main cause of persistent MIH is autoimmune disease. Iodine deficiency, obesity, non-thyroidal chronic diseases, or inherited syndromes may also be responsible for mild increases in TSH levels. Persistent MIH may be the expression of mild persistent thyroid failure due to genetic abnormalities of thyroid structure or function.
The studies on the genetics of CH have increased with the advent of Next-Generation Sequencing (NGS), which allows simultaneous analysis of known and candidate genes associated with various diseases. Recent NGS studies have been useful in elucidating the genetic causes of cases of CH (9–13) with a diagnostic yield ranging from 20 to 65% (13–15). Current consensus guidelines on CH recommend that genetic testing should aim to improve the patient’s diagnosis, treatment, or prognosis (16).
DUOX2 (OMIM: 606759), TG (OMIM: 188450), and TPO (OMIM: 606765) are the genes most frequently implicated in cases of TDH; however, other genes have also been included in the “Congenital Hypothyroidism: A 2020–2021 Consensus Guidelines Update” as genes associated with TDH, such as DUOX1, DUOXA2, SLC5A5 (NIS), SLC26A4 (PDS), SLC26A7, IYD (DEHAL1), GNAS, and TSHR (OMIM: 603372) (16). DUOX2 variants appear to be the most common cause of permanent TDH in East Asia (13, 17–19). Instead, studies on the Caucasian population showed that TPO or TG variants are the most common cause of TDH (10, 14). Biallelic variants in TG and TPO may result in goiter and mild to severe CH (11, 20, 21). Homozygous or compound heterozygous variants in the TPO gene lead to a variable degree of iodine organification deficiency characterized by hypothyroidism with elevated thyroglobulin levels (22).
Of note, the TSHR gene has a special place in the etiology of primary CH and is involved in TD, TDH, and Resistance to TSH. This last condition of reduced sensitivity to TSH is characterized by elevated serum TSH concentration in the absence of goiter, with a normal or hypoplastic thyroid gland, and normal to very low levels of thyroid hormones (23). Patients with TSHR variants present a phenotype varying from persistent MIH with normal-sized glands to severe TD with orthotopic hypoplasia (14, 24–26).
Isolated thyroid hypoplasia may occur because of variants in PAX8 or TSHR (5). Although thyroid morphology and degree of biochemical hypothyroidism are very variable in the context of PAX8 variants, patients have been described with MIH or isolated hypoplasia (27). Variants in the transcription factors NKX2–1 and FOXE1 cause CH in association with more extensive developmental syndromes (5).
With the widespread use of NBS programs and the application of NGS testing, it has become evident that the genetic architecture of CH is more complex than previously anticipated. A few CH cases appear to be monoallelic, associated with milder phenotypes (10, 11). For DUOX2 and TSHR authors have applied both autosomal recessive and autosomal dominant inheritance (10). Data on oligogenic combinations with one or more variants in different genes in CH have started to accumulate in scientific literature (28).
This study aimed to explore the underlying genetic etiology of MIH in a well-characterized pilot prospective cohort, using a 13-gene virtual NGS-based panel for variant detection. Additionally, to increase the knowledge on the MIH variation landscape and provide insights into the pathogenesis of the disease, we performed a systematic review of variants reported as causal for MIH in scientific literature up to 8 January 2025. Variants were systematically collected, and pathogenicity was reassessed.
2 Materials and methods
2.1 Ethics statement
The studies involving humans were approved by the Ethics Committee of the Hospital de Niños Dr. Ricardo Gutierrez (HNRG), Buenos Aires, Argentina. The study was carried out following The Code of Ethics of the World Medical Association (Declaration of Helsinki), local legislation and institutional requirements. The participants’ legal guardians/next of kin provided written informed consent for participation in this study.
2.2 Study design and setting
We performed a prospective study of a cohort of children diagnosed with MIH at Ricardo Gutiérrez Children’s Hospital (HNRG), a tertiary pediatric public hospital in Buenos Aires, Argentina. Patients diagnosed in HNRG, and those who have been referred to the Hospital with a presumptive or confirmed diagnosis for care, and who meet the defined inclusion and exclusion criteria, were invited to participate in the genetic study. Patients were prospectively recruited between 2018 and 2023 and followed at the HNRG. All study subjects were routinely evaluated for serum TSH, T3, T4, and free T4 (FT4) levels using electro-chemiluminescent immunoassays (ECLIA, Roche Diagnostics GmbH, Mannheim, Germany). Thyroid morphology was evaluated by neck ultrasonography and/or scintigraphy.
The initial calculation of the study sample size was performed to determine the proportion of patients with definitive or inconclusive genetic diagnoses in a longitudinal cohort of children diagnosed with CH. All the patients of the longitudinal study who had MIH were included in the present study. Since this is an interim study of the whole cohort, a specific sample size calculation was not performed.
2.3 Patients
Inclusion criteria were: 1) diagnosis of MIH characterized by elevated serum TSH levels between 9 and 20 µU/ml during the neonatal period (up to 3 months of age) or between 5 and 20 µU/ml during childhood, with normal FT4 level for age; and 2) parents or legal guardians agreed to participation and signed the informed consent form. Exclusion criteria were: 1) Known underlying causes of transient thyroid dysfunction, such as prematurity, Down syndrome, maternal thyroid disease, mothers and/or patients with positive serum levels of anti-thyroperoxidase and/or anti-thyroglobulin antibody, and excessive maternal iodine intake; 2) cases with goitrous thyroid gland thyroid and those with TD due to ectopy and athyreosis; and 3) cases with congenital syndromes identified at or before birth.
2.4 Outcome measure
The main outcome measure of the study was identifying and characterizing genetic variants (disease-causing variant status).
The genomic DNA was extracted from the peripheral venous blood cells as previously described (29). The DNA was quantified using a high-performance microvolume spectrophotometer NanoPhotometer® NP60 (Implen Inc.), and the DNA concentration was normalized to 10 ng/μL using the Qubit® 3.0 fluorometer (Invitrogen). DNA purity was assessed by measuring the absorbance ratio 260/280 nm; further DNA sample processing was performed only if the ratio was between 1.8 and 2.1.
Different methods for DNA library preparation and hybridization were used: TruSight ™ One (Illumina) in 2 cases, Custom SureSelect X (Agilent) in 2 patients, and Twist Custom Panel in 6 patients. The quality of genomic DNA fragmentation was verified using a capillary system Fragment Analyzer™ (Agilent). NGS by synthesis with fluorescent reversible terminator deoxyribonucleotides was performed using a NextSeq 500® system (Illumina) at the Translational Medicine Unit of the HNRG.
For sequencing data processing, we followed the best practice recommendations from Broad Institute using the Genome Analysis Toolkit (GATK). The demultiplexed fastq files were aligned with GRCh38 reference genome using the BWA-MEM algorithm of Burrows–Wheeler Aligner software. Duplicates were removed using Picard (Broad Institute). Variant Call Format (VCFs) files were annotated with Franklin by Genoox (https://franklin.genoox.com).
We used a phenotype-driven virtual panel including 13 candidate genes: DUOX2, TG, TPO, DUOX1, DUOXA1, DUOXA2, SLC5A5, SLC26A4 (PDS), SLC26A7, IYD (DEHAL), GNAS, TSHR, and PAX8. The level of gene-disease association, as described in the standard operating procedure document provided on the ClinGen website (30), was previously evaluated by Feng Sun and col. (17), for all included genes except for SLC26A7. They reached clinical validity classifications as definitive for DUOX2, TG, TPO, DUOXA2, SLC5A5, SLC26A4, IYD, TSHR, and PAX8; strong for GNAS; moderate for DUOXA1 and DUOX1. DUOXA1 was previously reported as a possible causative gene for TDH (31).
Data was analyzed for single-nucleotide variants (SNVs) and small indels. The target region included the coding exons, consensus splice sites (± 2 bases from the start or end of an exon), and the +-3->10 splice region.
SNV and small indels were filtered through the Franklin Genoox platform for suggested classification. The pathogenicity of variants was manually established using the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP), and the ClinGen Sequence Variant Interpretation Working Group recommendations. No specific recommendations currently exist for variant interpretation of CH-associated genes. We performed gene- and disease-specific modifications to the framework for variants related to MIH. Supporting information on how we applied the criteria to guide future variant classification is available at Supplementary Material S1 (32–34).
A Bayesian scoring algorithm modified from Tavtigian et al. (34) was used, and Bayesian scores were binned into the following categories: 0= Benign (B); 0.001-0.051= Likely Benign (LB); 0.100-0.188= VUS (variant of uncertain significance) leaning to Benign (VUS_LB); 0.325-0.500= VUS; 0.675-0.812= VUS leaning to Pathogenic (VUS_LP); 0.900-0.988= Likely Pathogenic (LP); 0.994-0.999= Pathogenic (P).
An explorative analysis of noncanonical splice sites (NCSSs) was performed using the deep-learning tool SpliceAI to identify putative variants causing splice defects. Copy Number Variants (CNVs) were predicted using the coverage-based DECoN (Detection of Exon Copy Number) algorithm (35).
Integrative Genomics Viewer (IGV v.1.4.2) (36) was used to visually inspect the variants. The Human Genome Variation Society (HGVS) nomenclature was checked using Mutalyzer 3 (37).
Putative disease-causing variants were confirmed in patients and parents using Sanger sequencing. Target exons were amplified by polymerase chain reaction (PCR) with specific primers and GoTaq® DNA Polymerase (Promega). The products were sequenced using an ABI 3500 Genetic Analyzer (Applied Biosystems) at the Translational Medicine Unit of the HNRG. The sequences were compared to the reference sequence and analyzed using Chromas (Technelysium Pty Ltd.).
All cases were discussed in rounds of meetings with clinicians and trained molecular geneticists.
2.5 Systematic review of sequence variants in MIH and reclassification
The search strategy, eligibility criteria, data extraction, and variant reclassification procedure are available in Supplementary Material S2.
3 Results
3.1 Diagnostic performance in our pilot cohort
In the present study, we included the first ten unrelated children, born full-term to non-consanguineous parents, who entered the study. The clinical characteristics are presented in Table 1. Five patients were examined in or near the neonatal period after NBS tests. Five cases had persistently elevated TSH (>5 µU/ml) during follow-up (patients 1, 2, 3, 7, and 9), while the other three had blood levels fluctuating between 3.2 and 11.9 µU/ml throughout the observation period (cases 5, 6, and 8). Patients 4 and 10 are still receiving levothyroxine (L-T4) and have not been re-evaluated yet. In patient 7, levothyroxine withdrawal was attempted, but treatment had to be restarted. A brief report on patient 9, our paradigmatic case, is presented at Supplementary Material S3 to exemplify the clinical course of MIH.
Eight monoallelic SNVs affecting TSHR, DUOX2, TG, and TPO genes were identified in 5 subjects (Table 2). Potential digenic or pseudo-digenic combinations were identified in 3 infants. One novel variant was found in the TG gene. No clinically significant NCSS variants or CNVs were prioritized. No causative variants were identified in the remaining 9 genes.
Genetic diagnosis criteria for MIH were established considering the inheritance pattern, the zygosity, the pathogenicity of the variant, the segregation analysis, and the phenotypic specificity according to international recommendations and the results of our systematic literature review (Supplementary Table S4). According to ACMG/AMP guidelines, only variants classified as P or LP are considered definitive for a genetic diagnosis. Accordingly, cases 6 and 9, heterozygous carriers of LP variants in DUOX2 and TSHR genes, respectively, were considered genetically solved (Table 2). Meanwhile, patients 2 and 8, heterozygous carriers of VUS_LP variants in the TSHR gene were considered potentially solved. The genetic etiology remained ambiguous for patient 5 since the contribution of the monoallelic TG variant is unclear. The remaining patients, for whom no disease-causing variants were identified, were classified as unsolved.
3.2 Systematic review
The search and selection process, including the Flowchart of manuscript selection, is available in Supplementary Material S6.1–4. Forty-four articles were included (Supplementary Material S6.3). The “Mild Isolated Hyperthyrotropinemia Variants Database” is openly available at http://hdl.handle.net/11336/254971.
Table 3 summarizes data, creating a representative overview of the published MIH data. We found 215 variants comprising 45 articles and 173 patients, mainly in 4 genes, as expected: TSHR, DUOX2, TPO, and TG. Eight additional sequence variants were identified in other genes in the setting of MIH (DUOX1, DUOXA2, SLC26A4, PAX8, and GLIS3). After deduplication, only 122 unique variants remained. When we assessed the prevalence of reported variants in MIH, the TSHR gene was the most frequently mutated gene with 51 variants, accounting for 45% of the total variation in MIH. DUOX2 followed with 32 variants.
According to variant type, missense variants represent the major set at 61% (N = 51), followed by frameshift (N = 16) and nonsense (N = 8) variants. Splicing variants (N = 4) and in-frame insertions/deletions (N = 7) were identified to a lesser extent.
After systematic variant reclassification, 83 unique variants in TSHR, DUOX2, TPO, and TG genes were classified as P, LP, or VUS_LP, and considered here of clinical relevance (Table 3). On the other hand, 30 variants in those genes were identified as not clinically relevant. After reclassification, the TSHR remained as the gene with more disease-causing variants (N = 45).
We could identify recurrent variants, appearing in three or more individuals, only in the DUOX2 and TSHR genes (Supplementary Table S6.5). The clinically relevant variants NP_000360.2:p.Arg450His, p.Cys41Ser, and p.Pro162Ala in the TSHR gene were reported in 21, 14, and 13 cases with MIH, respectively. The variant NP_001350640.1:p.Lys530* in DUOX2 was reported in 5 individuals.
The relative frequency of each genotype was analyzed, taking into consideration only putative disease-causing variants (Table 4). The relative frequency of monoallelic TSHR variant carriers was 63%. As for homozygotes and compound heterozygotes, the relative frequency was 8% and 4%, respectively. The frequency of DUOX2 variant carriers was 6% for heterozygotes, and 7.4% for homozygotes and compound heterozygotes in this dataset. Overall, variants of clinical relevance in the TSHR and DUOX2 genes can explain the MIH phenotype in these 121 cases. We found only a few cases carrying presumed disease-causing variants in the TG and TPO genes. Monoallelic variants in TG or TPO were reported in 8 cases. Only three cases were reported to have compound heterozygous variants in TPO. Finally, we found three cases of presumed oligogenic inheritance (Supplementary Table S6.6).
It is worth noting that most included studies were conducted using the candidate gene strategy. Therefore, we then conducted an explorative subgroup analysis to unravel the genomic landscape of MIH derived from NGS studies. Supplementary Table S6.7 shows the count of cases carrying clinically relevant variants according to each genotype. The overall relative frequency of monoallelic TSHR carriers drastically drops to 15%. No cases of alleged oligogenic inheritance were reported using the NGS approach.
Of note, among patients who received levothyroxine treatment, 64% and 36% were mono and biallelic carriers, respectively (Supplementary Table S6.8). Interestingly, 98% of the patients who did not receive treatment were heterozygous carriers.
4 Discussion
Molecular diagnosis was highly suggested in 4/10 patients, indicating a modest diagnostic performance for MIH with a 13-gene virtual NGS panel.
The proportion of patients with GIS who receive a molecular diagnosis varies widely across studies. Factors contributing to this variability include differences in patient phenotypes, clinical characterization of the patients, and ethnicity, but especially differences in variant classification and interpretation of the genetic test. Although the ACMG/AMP guidelines established a widely adopted five-tier system and a framework of evidence-based criteria for classifying variants in clinical practice (32), a consensus-structured standard that ensures evidence-based classifications is currently missing for most gene-disease or gene-phenotype associations. Our work represents an important, initial step in further facilitating the interpretation of genomic data from MIH. We proposed a variant classification framework and genetic diagnostic criteria for MIH. Furthermore, we provided the research community with a unique and accurately annotated database of MIH variants, mapped to functionally relevant transcripts in GRch37 to facilitate future investigations.
Different studies have reported monoallelic variants in TDH using NGS technology (26). The prevailing understanding is that most cases of TDH are inherited in an autosomal recessive manner; however, hypotheses have been raised about the heritability of CH, especially CH associated with variants in TSHR and DUOX2 genes, which appear to follow autosomal recessive and autosomal dominant patterns (10). Isabelle Oliver-Petit and col. have recently reported heterozygous variants in the TG, TPO, DUOX2, and TSHR genes associated with moderate and mild CH (11).
In several reports, TSHR variants were regarded as an autosomal dominant trait (38, 39). Almost two decades ago, it was suggested for the first time that a mechanism of negative dominance by direct interaction of the TSHR mutant with wild-type receptors as an explanation for the dominant inheritance of partial TSH resistance (38). Different authors have reported that patients with monoallelic TSHR variants exhibited a heterogeneous clinical presentation ranging from subclinical to severe CH (11, 40). Patient 9 is illustrative of a chronically slightly elevated TSH value associated with a monoallelic TSHR variant.
TG or TPO deficiency is generally inherited in an autosomal recessive manner, and affected patients have either homozygous or compound heterozygous variants, so thyroid dysfunction is not expected in heterozygous individuals. However, there are some reports of TDH caused by monoallelic variants in TPO or TG (11, 41). Fugazzola L (2003) reported a case of three siblings with severe CH due to a total iodine organification defect caused by a monoallelic TPO variant (42). Nicholas AK (2016) has reported four cases of subclinical or mild CH, classified as unsolved or ambiguous, harboring heterozygous sequence variants in TG or TPO (10). One study recently reported monogenic heterozygous TG variants in three patients. The authors demonstrated that the pathogenic variation co-segregated with the phenotype in one family, suggesting it is possibly causative for CH (14).
We presented here patient 5 with a monoallelic novel variant in the TG gene. Excluding this important finding, which has also expanded the TG variation spectrum, a single rare variant is not sufficient to explain the pathophysiology of MIH, and the case remains unsolved.
Our systematic review showed that monoallelic clinically significant variants in TG or TPO were rarely reported (N = 8, Table 4). Conversely a ~70% of monoallelic variants of clinical relevance in the TSHR and DUOX2 genes reported to be associated with MIH may explain the disease genetically.
In a model of complete penetrance and expressivity, the pathogenetic variant should co-segregate with the phenotype in the family; however, the diagnosis of MIH is determined mainly by laboratory evaluations, and most patients exhibit few or no signs or symptoms of thyroid dysfunction. The observation that some maternal DUOX2 mutation-carriers are euthyroid in adulthood supports the transiency of CH in most affected cases (19). Higher TSH screening cut points 20 years ago may have failed to diagnose borderline CH in carrier parents.
In our systematic review of the literature, we collected information about the family history of thyroid disease and segregation analyses when available. Co-segregation with phenotype was verified in 5 compound heterozygous patients. On the other hand, 34 monoallelic variants were also detected in affected parents or siblings, suggesting their pathogenicity in the heterozygous state.
Monoallelic variants have previously been described in association with TDH but are usually assumed to coexist with an additional undetected CNV, intronic, or regulatory variant on the other chromosome. Technical limitations of NGS could explain the absence of a second variant in these patients (25).
Variable expressivity (clinical or phenotypic heterogeneity) in cases harboring similar causative variants suggests that mono- and oligogenic factors, as well as environmental modulators, may play a role in determining disease severity (10). Endocrine disruptors and environmental factors (e.g., iodine intake, acquired thyroid disorders, and drugs affecting thyroid function) could contribute to endocrine dysfunction by influencing gene expression and generating a more profound phenotype in carriers of rare genetic variants (9). Epigenetic factors (11) and autosomal monoallelic expression could not be excluded.
Recent NGS studies propose that digenic or oligogenic effects may play an important role in the pathogenesis of TDH (10, 14, 17). (9, 11, 13, 18) Similarly, oligogenicity is proposed for other endocrine diseases such as Congenital Hypogonadotropic Hypogonadism (43).
In contrast to the monogenic inheritance hypothesis, the true digenic inheritance refers to the phenomenon where the phenotypic expression of a disorder is influenced by disease-causing variants in two different genes. In true digenic inheritance, the simultaneous presence of variants in two genes is necessary to manifest a particular phenotype or disease (44). To account for variable expressivity, some authors have invoked the concept of genetic modifiers, which are considered, in general, to operate as additional molecular defects that determine the final phenotype on the background of the primary pathogenic variant. It has been suggested that multiple partial enzyme deficiencies may lead to clinically relevant biochemical derangements - synergistic heterozygosity - in CH (11). Aycan Z and col. have described for the first time cases with digenic DUOX1/DUOX2 variants causing complete DUOX isoenzyme deficiency in the context of likely iodine deficiency. These individuals manifest severe CH, suggesting failure to compensate for defective thyroid H2O2 synthesis (45). Yang R and col. have recently reported 10 cases carrying digenic variants in genes involved in TDH, along with a literature review on digenic variants recording 58 cases with CH (28). One hundred and eighteen combinations are linked to CH in the OLIgogenic diseases DAtabase (OLIDA, https://olida.ibsquare.be, last accessed September 2025), a curated database of oligogenic diseases and their gene variants.
In this study, presumed digenic or pseudo-digenic inheritance was detected in three cases from the pilot cohort study. A definite diagnosis was established in patient 6 based on our genetic diagnosis criteria (Supplementary Table S4) when the monoallelic variant classified as LP in the DUOX2 gene is considered (NM_001363711.2:c.2895_2898del). However, assuming a monogenic plus modifier scenario, the P variant in the TG gene can be regarded as a putative genetic modifier (NM_003235.5:c.886C>T). The primary disease-causing variant and the modifier together may better explain the clinical picture of the patient than each variant alone. Similarly, the phenotype in patients 2 and 8 is explained by a heterozygous variant in the TSHR gene in combination with a modifier in the TPO gene. Through systematic review we have identified three cases of likely oligogenic inheritance associated with MIH (Supplementary Table S6.6). Interestingly, in two individuals, monoallelic variants in the DUOX2 or TSHR genes can be reasoned as the primary disease-causing variants in a presumed pseudo-digenic scenario. In the third patient, a deleterious variant combination was reported in the TPO and TG genes, but probably more evidence is needed to establish a true digenic model.
Further research is needed to clarify the role of rare TG and TPO variants in digenic inheritance or if they may act as disease modifiers of the phenotype. In general, more studies with large pedigrees and clear phenotypic variability investigating oligogenic involvement in CH are required (25, 40).
Digenic variants appeared to be common in CH, but they challenge variant interpretation and make clinical diagnosis difficult. The analysis of oligogenic combinations is currently not subjected to any standards and guidelines and requires different considerations from the framework developed for the interpretation and reporting of variants implicated in Mendelian diseases.
The treatment of CH is not conditional on identifying genetic etiology. However, personalized treatment strategies should consider the individual genetic background, potential compensatory mechanisms, and overall, the clinical context, to optimize care for all patients in the broad spectrum of thyroid hypofunction. A recent study reported that genetic testing influenced treatment decisions for patients with permanent CH (14).
Uncertainty about the benefits of levothyroxine therapy still exists for partial resistance to TSH and compensated euthyroid MIH in children (7, 46). L-T4 treatment seems reasonable in patients with childhood SCH who have TSH levels >10 µU/ml during the first 3 years of life when most thyroxine-dependent brain maturation has occurred (46). Then, a follow-up plan should be tailored to the specific circumstances of the child. Leonardi et al. have stated that when serum TSH is higher than normal during early childhood, a high risk (~50%) of persistent SCH is present in children with genetic and/or morphological abnormalities and should be reassessed periodically (47). Previous studies have shown that untreated children with well-compensated hyperthyrotropinemia due to monoallelic TSHR genetic alterations have normal growth and development (48–50). Tenenbaum-Rakover et al. studied the long-term outcome (over 11 years) of loss-of-function variants in the TSHR gene and showed that SCH in heterozygous subjects is a stable compensated condition with an appropriately adjusted pituitary TSH set point and does not require replacement therapy (51). However, homozygous and compound heterozygous subjects may necessitate L-T4 therapy because of incompletely compensated SCH (49, 51).
Genetic information allows the individualized decision to follow up without treatment for mildly elevated TSH in childhood. For patients with a definitive or inconclusive molecular diagnosis, such as our case study, periodic biochemical surveillance through puberty, young adulthood, and pregnancy should be implemented to ensure early identification of patients who might benefit from treatment. Patients and mutation-carrier family members should be counseled regarding the possible future risk of overt hypothyroidism, particularly during pregnancy, when iodine status can also be compromised. Furthermore, patients with MIH could evolve into clinical hypothyroidism in case of acquired thyroid disorders, such as the onset of autoimmunity (46). Finally, familial genetic counseling may also help in recognizing the threat of CH in the event of compound heterozygous carriers. There are some reports of cases carrying a heterozygous TSHR variant associated with adult-onset compensated TSH resistance having compound heterozygote children with CH (52).
This study has some limitations that should be considered. The main restriction of our study is the limited number of patients. Yet, as our hospital operates as a referral medical facility specializing in the treatment of CH, the results still hold a certain degree of representation. Samples were obtained from parents for segregation analysis; however, co-segregation of the variant with the disease phenotype could not be verified in all cases. Iodine status was not assessed. The requirement for ongoing levothyroxine replacement (case 7) or continuing TSH elevation (cases 1 and 3) suggested persistent MIH in at least three unsolved cases. Two other unsolved cases have not yet undergone a formal trial-off levothyroxine withdrawal (patients 4 and 10). It is also conceivable that despite adequate median coverage, nonuniform coverage of genes could have failed to detect variants (type II error). It was verified that, in general, the coverage of the exons of interest at 20x is at least 99%, and uncovered regions still have a coverage of 10x >90%. No functional analysis was carried out in this study to evaluate the mechanism by which monoallelic variants resulted in functional impairment. Finally, beyond inherent limitations of the systematic review process, the major constraint we encountered was the differing sequencing methodologies, with a relatively low number of cases investigated with the NGS approach.
5 Conclusions
Our study provides new insights into the genetic etiology of MIH and expands the phenotypic and variant spectrum of CH. The pilot cohort demonstrated a modest diagnostic yield using a 13-gene NGS panel, while the systematic review offers a comprehensive resource of clinically relevant variants, with TSHR, DUOX2, TPO, and TG being the most frequently affected genes. The overall results suggest that the MIH phenotype is influenced not only by monoallelic and biallelic variants but also potentially by digenic variant combinations. Further studies are required to delineate the clinical significance of monoallelic variants in MIH, especially in TG and TPO genes.
Overall, these findings highlight the importance of comprehensive genetic testing for personalized follow-up and management and emphasize the need for larger multicentric prospective studies to investigate the utility of NGS in guiding treatment decisions and predicting prognosis for MIH patients.
Data availability statement
The raw data from high-throughput sequencing remains confidential due to ethical considerations. All additional raw data supporting the conclusions of this article will be made available by the corresponding author, without undue reservation. The data that support the findings of the systematic review were derived from published papers. The dataset, “Mild Hyperthyrotropinemia Variants Database”, can be found in the Repositorio Institucional CONICET Digital at http://hdl.handle.net/11336/254971.
Ethics statement
The studies involving humans were approved by Ethics Committee of the Hospital de Niños Dr. Ricardo Gutierrez (HNRG), Buenos Aires, Argentina (reference number of the ethical approvals: CEI21.33, CEI20.51, and CEI17.36). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants’ legal guardians/next of kin. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article. This study complies with internationally accepted standards for research practice and reporting: STROBE and PRISMA.
Author contributions
VR: Formal Analysis, Data curation, Writing – original draft, Writing – review & editing. MM: Data curation, Writing – review & editing, Formal Analysis. MV: Data curation, Writing – review & editing, Formal analysis. RE: Writing – review & editing, Methodology. AI: Methodology, Writing – review & editing. EA: Writing – review & editing, Methodology. ME: Writing – review & editing, Methodology, Resources. GS: Resources, Writing – review & editing, Methodology. PS: Resources, Methodology, Writing – review & editing. CR: Validation, Writing – review & editing, Resources. HT: Writing – review & editing, Validation, Resources. RR: Writing – review & editing, Resources, Validation, Funding acquisition. MR: Validation, Funding acquisition, Resources, Writing – review & editing. AC: Writing – original draft, Writing – review & editing, Funding acquisition, Validation, Conceptualization. JN: Writing – review & editing, Writing – original draft, Validation, Funding acquisition, Conceptualization. MT: Formal Analysis, Project administration, Resources, Data curation, Supervision, Writing – review & editing, Conceptualization, Writing – original draft, Funding acquisition.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by Fondo para la Investigación Científica y Tecnológica -Agencia Nacional de Promoción Científica y Tecnológica (grant number PIDC-2019-0007 awarded to MT, AC, and JN). The funding source was not involved in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the article for publication.
Acknowledgments
We thank the study participants and their family members. We thank Mrs. MG Gutiérrez Moyano and Mr. Rodolfo De Bellis for their kind and skillful technical assistance. We thank Mrs. Rosenbrock Lambois for her assistance with study coordination.
Conflict of interest
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.
The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
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.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fendo.2025.1612450/full#supplementary-material
References
1. Cherella CE and Wassner AJ. Congenital hypothyroidism: insights into pathogenesis and treatment. Int J Pediatr Endocrinol. (2017) 2017:11. doi: 10.1186/s13633-017-0051-0
2. Chiesa A, Prieto L, Mendez V, Papendieck P, Calcagno M de L, and Gruñeiro-Papendieck L. Prevalence and etiology of congenital hypothyroidism detected through an argentine neonatal screening program (1997-2010). Horm Res Paediatr. (2013) 80:185–92. doi: 10.1159/000354409
3. Tsai C, Chang Y, Chou Y, Chen S, Pan Y, and Tsai M. Identification of southern Taiwan genetic variants in thyroid dyshormonogenesis through whole-exome sequencing. Kaohsiung J Med Sci. (2024) 40:744–56. doi: 10.1002/kjm2.12871
4. Vigone MC, Di Frenna M, and Weber G. Heterogeneous phenotype in children affected by non-autoimmune hypothyroidism: an update. J Endocrinol Invest. (2015) 38:835–40. doi: 10.1007/s40618-015-0288-5
5. Zdraveska N, Kocova M, Nicholas AK, Anastasovska V, and Schoenmakers N. Genetics of gland-in-situ or hypoplastic congenital hypothyroidism in macedonia. Front Endocrinol (Lausanne). (2020) 11:413. doi: 10.3389/fendo.2020.00413
6. Peters C, van Trotsenburg ASP, and Schoenmakers N. DIAGNOSIS OF ENDOCRINE DISEASE: Congenital hypothyroidism: update and perspectives. Eur J Endocrinol. (2018) 179:R297–317. doi: 10.1530/EJE-18-0383
7. Salerno M, Capalbo D, Cerbone M, and De Luca F. Subclinical hypothyroidism in childhood — current knowledge and open issues. Nat Rev Endocrinol. (2016) 12:734–46. doi: 10.1038/nrendo.2016.100
8. Chiesa AE and Tellechea ML. Update on neonatal isolated hyperthyrotropinemia: A systematic review. Front Endocrinol (Lausanne). (2021) 12:643307. doi: 10.3389/fendo.2021.643307
9. de Filippis T, Gelmini G, Paraboschi E, Vigone MC, Di Frenna M, Marelli F, et al. A frequent oligogenic involvement in congenital hypothyroidism. Hum Mol Genet. (2017) 26:2507–14. doi: 10.1093/hmg/ddx145
10. Nicholas AK, Serra EG, Cangul H, Alyaarubi S, Ullah I, Schoenmakers E, et al. Comprehensive screening of eight known causative genes in congenital hypothyroidism with gland-in-situ. J Clin Endocrinol Metab. (2016) 101:4521–31. doi: 10.1210/jc.2016-1879
11. Oliver-Petit I, Edouard T, Jacques V, Bournez M, Cartault A, Grunenwald S, et al. Next-generation sequencing analysis reveals frequent familial origin and oligogenism in congenital hypothyroidism with dyshormonogenesis. Front Endocrinol (Lausanne). (2021) 12:657913. doi: 10.3389/fendo.2021.657913
12. Fan X, Fu C, Shen Y, Li C, Luo S, Li Q, et al. Next-generation sequencing analysis of twelve known causative genes in congenital hypothyroidism. Clinica Chimica Acta. (2017) 468:76–80. doi: 10.1016/j.cca.2017.02.009
13. Yamaguchi T, Nakamura A, Nakayama K, Hishimura N, Morikawa S, Ishizu K, et al. Targeted next-generation sequencing for congenital hypothyroidism with positive neonatal TSH screening. J Clin Endocrinol Metab. (2020) 105:e2825–33. doi: 10.1210/clinem/dgaa308
14. Kara C, Mammadova J, Abur Ü, Gumuskaptan C, İzci Güllü E, Dağdemir A, et al. Genetic testing can change diagnosis and treatment in children with congenital hypothyroidism. Eur Thyroid J. (2023) 12:e220212. doi: 10.1530/ETJ-22-0212
15. Stoupa A, Al Hage Chehade G, Chaabane R, Kariyawasam D, Szinnai G, Hanein S, et al. High diagnostic yield of targeted next-generation sequencing in a cohort of patients with congenital hypothyroidism due to dyshormonogenesis. Front Endocrinol (Lausanne). (2021) 11:545339. doi: 10.3389/fendo.2020.545339
16. van Trotsenburg P, Stoupa A, Léger J, Rohrer T, Peters C, Fugazzola L, et al. Congenital hypothyroidism: A 2020–2021 consensus guidelines update—An ENDO-european reference network initiative endorsed by the european society for pediatric endocrinology and the european society for endocrinology. Thyroid. (2021) 31:387–419. doi: 10.1089/thy.2020.0333
17. Sun F, Zhang J-X, Yang C-Y, Gao G-Q, Zhu W-B, Han B, et al. The genetic characteristics of congenital hypothyroidism in China by comprehensive screening of 21 candidate genes. Eur J Endocrinol. (2018) 178:623–33. doi: 10.1530/EJE-17-1017
18. Long W, Lu G, Zhou W, Yang Y, Zhang B, Zhou H, et al. Targeted next-generation sequencing of thirteen causative genes in Chinese patients with congenital hypothyroidism. Endocr J. (2018) 65:1019–28. doi: 10.1507/endocrj.EJ18-0156
19. Peters C, Nicholas AK, Schoenmakers E, Lyons G, Langham S, Serra EG, et al. DUOX2/DUOXA2 mutations frequently cause congenital hypothyroidism that evades detection on newborn screening in the United Kingdom. Thyroid. (2019) 29:790–801. doi: 10.1089/thy.2018.0587
20. Targovnik HM, Citterio CE, and Rivolta CM. Thyroglobulin gene mutations in congenital hypothyroidism. Horm Res Paediatr. (2011) 75:311–21. doi: 10.1159/000324882
21. Ris-Stalpers C and Bikker H. Genetics and phenomics of hypothyroidism and goiter due to TPO mutations. Mol Cell Endocrinol. (2010) 322:38–43. doi: 10.1016/j.mce.2010.02.008
22. Zhang J, Han R, Shen L, Xie J, Xiao Y, Jiang L, et al. Mild TPO deficiency characterized by progressive goiter and normal serum TSH level. Endocrine. (2020) 68:599–606. doi: 10.1007/s12020-020-02224-5
23. Sriphrapradang C, Tenenbaum-Rakover Y, Weiss M, Barkoff MS, Admoni O, Kawthar D, et al. The coexistence of a novel inactivating mutant thyrotropin receptor allele with two thyroid peroxidase mutations: A genotype-phenotype correlation. J Clin Endocrinol Metab. (2011) 96:1001–6. doi: 10.1210/jc.2011-0127
24. Szinnai G. Clinical genetics of congenital hypothyroidism. Endocr Dev. (2014) 26:60–78. doi: 10.1159/000363156
25. Acar S, Gürsoy S, Arslan G, Nalbantoğlu Ö, Hazan F, Köprülü Ö, et al. Screening of 23 candidate genes by next-generation sequencing of patients with permanent congenital hypothyroidism: novel variants in TG, TSHR, DUOX2, FOXE1, and SLC26A7. J Endocrinol Invest. (2022) 45:773–86. doi: 10.1007/s40618-021-01706-1
26. Fu C, Wang J, Luo S, Yang Q, Li Q, Zheng H, et al. Next-generation sequencing analysis of TSHR in 384 Chinese subclinical congenital hypothyroidism (CH) and CH patients. Clinica Chimica Acta. (2016) 462:127–32. doi: 10.1016/j.cca.2016.09.007
27. Stoupa A, Carré A, Polak M, Szinnai G, and Schoenmakers N. Genetics of primary congenital hypothyroidism: three decades of discoveries and persisting etiological challenges. Eur Thyroid J. (2025) 14:e240348. doi: 10.1530/ETJ-24-0348
28. Yang R, Lu Y, Yang C, Wu X, Feng J, Zhu L, et al. Case report: expanding the digenic variants involved in thyroid hormone synthesis–10 new cases of congenital hypothyroidism and a literature review. Front Genet. (2021) 12:694683. doi: 10.3389/fgene.2021.694683
29. Correa Brito L, Keselman A, Villegas F, Scaglia P, Esnaola Azcoiti M, Castro S, et al. Case report: Novel SIN3A loss-of-function variant as causative for hypogonadotropic hypogonadism in Witteveen–Kolk syndrome. Front Genet. (2024) 15:1354715. doi: 10.3389/fgene.2024.1354715
30. Strande NT, Riggs ER, Buchanan AH, Ceyhan-Birsoy O, DiStefano M, Dwight SS, et al. Evaluating the clinical validity of gene-disease associations: an evidence-based framework developed by the clinical genome resource. Am J Hum Genet. (2017) 100:895–906. doi: 10.1016/j.ajhg.2017.04.015
31. Liu S, Han W, Zang Y, Zang H, Wang F, Jiang P, et al. Identification of two missense mutations in DUOX1 (p.R1307Q) and DUOXA1 (p.R56W) that can cause congenital hypothyroidism through impairing H2O2 generation. Front Endocrinol (Lausanne). (2019) 10:526. doi: 10.3389/fendo.2019.00526
32. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. (2015) 17:405–24. doi: 10.1038/gim.2015.30
33. Riggs ER, Andersen EF, Cherry AM, Kantarci S, Kearney H, Patel A, et al. Technical standards for the interpretation and reporting of constitutional copy-number variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics (ACMG) and the Clinical Genome Resource (ClinGen). Genet Med. (2020) 22:245–57. doi: 10.1038/s41436-019-0686-8
34. Tavtigian SV, Greenblatt MS, Harrison SM, Nussbaum RL, Prabhu SA, Boucher KM, et al. Modeling the ACMG/AMP variant classification guidelines as a Bayesian classification framework. Genet Med. (2018) 20:1054–60. doi: 10.1038/gim.2017.210
35. Fowler A, Mahamdallie S, Ruark E, Seal S, Ramsay E, Clarke M, et al. Accurate clinical detection of exon copy number variants in a targeted NGS panel using DECoN. Wellcome Open Res. (2016) 1:20. doi: 10.12688/wellcomeopenres.10069.1
36. Robinson JT, Thorvaldsdóttir H, Winckler W, Guttman M, Lander ES, Getz G, et al. Integrative genomics viewer. Nat Biotechnol. (2011) 29:24–6. doi: 10.1038/nbt.1754
37. Lefter M, Vis JK, Vermaat M, den Dunnen JT, Taschner PEM, and Laros JFJ. Mutalyzer 2: next generation HGVS nomenclature checker. Bioinformatics. (2021) 37:2811–7. doi: 10.1093/bioinformatics/btab051
38. Calebiro D, de Filippis T, Lucchi S, Covino C, Panigone S, Beck-Peccoz P, et al. Intracellular entrapment of wild-type TSH receptor by oligomerization with mutants linked to dominant TSH resistance. Hum Mol Genet. (2005) 14:2991–3002. doi: 10.1093/hmg/ddi329
39. Grasberger H, Mimouni-Bloch A, Vantyghem MC, Van Vliet G, Abramowicz M, Metzger DL, et al. Autosomal dominant resistance to thyrotropin as a distinct entity in five multigenerational kindreds: Clinical characterization and exclusion of candidate loci. J Clin Endocrinol Metab. (2005) 90:4025–34. doi: 10.1210/jc.2005-0572
40. Tanaka T, Aoyama K, Suzuki A, Saitoh S, and Mizuno H. Clinical and genetic investigation of 136 Japanese patients with congenital hypothyroidism. J Pediatr Endocrinol Metab. (2020) 33:691–701. doi: 10.1515/jpem-2019-0433
41. Lee CC, Harun F, Jalaludin MY, Heh CH, Othman R, and Junit SM. Prevalence of c.2268dup and detection of two novel alterations, c.670_672del and c.1186C<T, in the TPO gene in a cohort of Malaysian–Chinese with thyroid dyshormonogenesis. BMJ Open. (2015) 5:e006121. doi: 10.1136/bmjopen-2014-006121
42. Fugazzola L, Cerutti N, Mannavola D, Vannucchi G, Fallini C, Persani L, et al. Monoallelic expression of mutant thyroid peroxidase allele causing total iodide organification defect. J Clin Endocrinol Metab. (2003) 88:3264–71. doi: 10.1210/jc.2002-021377
43. Cassatella D, Howard SR, Acierno JS, Xu C, Papadakis GE, Santoni FA, et al. Congenital hypogonadotropic hypogonadism and constitutional delay of growth and puberty have distinct genetic architectures. Eur J Endocrinol. (2018) 178:377–88. doi: 10.1530/EJE-17-0568
44. Ben-Mahmoud A, Gupta V, Kim C-H, Layman LC, and Kim H-G. Digenic or oligogenic mutations in presumed monogenic disorders: A review. J Genet Med. (2023) 20:15–24. doi: 10.5734/JGM.2023.20.1.15
45. Aycan Z, Cangul H, Muzza M, Bas VN, Fugazzola L, Chatterjee VK, et al. Digenic DUOX1 and DUOX2 mutations in cases with congenital hypothyroidism. J Clin Endocrinol Metab. (2017) 102:3085–90. doi: 10.1210/jc.2017-00529
46. Schoenmakers N and Chatterjee VK. TSHR mutations and subclinical congenital hypothyroidism. Nat Rev Endocrinol. (2015) 11:258–9. doi: 10.1038/nrendo.2015.27
47. Leonardi D, Polizzotti N, Carta A, Gelsomino R, Sava L, Vigneri R, et al. Longitudinal study of thyroid function in children with mild hyperthyrotropinemia at neonatal screening for congenital hypothyroidism. J Clin Endocrinol Metab. (2008) 93:2679–85. doi: 10.1210/jc.2007-2612
48. Grasberger H and Refetoff S. Resistance to thyrotropin. Best Pract Res Clin Endocrinol Metab. (2017) 31:183–94. doi: 10.1016/j.beem.2017.03.004
49. Vigone MC, Di Frenna M, Guizzardi F, Gelmini G, de Filippis T, Mora S, et al. Mild TSH resistance: Clinical and hormonal features in childhood and adulthood. Clin Endocrinol (Oxf). (2017) 87:587–96. doi: 10.1111/cen.13387
50. Calebiro D, Gelmini G, Cordella D, Bonomi M, Winkler F, Biebermann H, et al. Frequent TSH receptor genetic alterations with variable signaling impairment in a large series of children with nonautoimmune isolated hyperthyrotropinemia. J Clin Endocrinol Metab. (2012) 97:156–60. doi: 10.1210/jc.2011-1938
51. Tenenbaum-Rakover Y, Almashanu S, Hess O, Admoni O, Hag-Dahood Mahameed A, Schwartz N, et al. Long-term outcome of loss-of-function mutations in thyrotropin receptor gene. Thyroid. (2015) 25:292–9. doi: 10.1089/thy.2014.0311
52. Park S-M, Clifton-Bligh RJ, Betts P, and Chatterjee VKK. Congenital hypothyroidism and apparent athyreosis with compound heterozygosity or compensated hypothyroidism with probable hemizygosity for inactivating mutations of the TSH receptor. Clin Endocrinol (Oxf). (2004) 60:220–7. doi: 10.1111/j.1365-2265.2004.01967.x
Keywords: hyperthyrotropinemia, next generation sequencing, single nucleotide variants, subclinical hypothyroidism, systematic revision, thyroid dyshormonogenesis, congenital hypothyroidism, genetic diagnosis
Citation: Ricci V, Masnata ME, Villanueva Gonzalez MD, Enacán RE, Izquierdo A, Adrover E, Esnaola Azcoiti M, Sansó G, Scaglia PA, Rivolta CM, Targovnik HM, Rey RA, Ropelato MG, Chiesa AE, Nicola JP and Tellechea ML (2025) Variation spectra in mild isolated hyperthyrotropinemia: pilot cohort and systematic review. Front. Endocrinol. 16:1612450. doi: 10.3389/fendo.2025.1612450
Received: 15 April 2025; Accepted: 20 October 2025;
Published: 04 November 2025.
Edited by:
Semra Çaglar Çetinkaya, University of Health Sciences, TürkiyeReviewed by:
Mostafa Vaghari-Tabari, Tabriz University of Medical Sciences, IranJenny Yeuk Ki Cheng, The Chinese University of Hong Kong, China
Copyright © 2025 Ricci, Masnata, Villanueva Gonzalez, Enacán, Izquierdo, Adrover, Esnaola Azcoiti, Sansó, Scaglia, Rivolta, Targovnik, Rey, Ropelato, Chiesa, Nicola and Tellechea. 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.
*Correspondence: Mariana L. Tellechea, bXRlbGxlY2hlYUBjZWRpZS5vcmcuYXI=
Rosa E. Enacán1