A new computational study has mapped the range of genetic variation in FOXE1, a transcription factor gene critical for thyroid development and function, and identified a shortlist of variants that prediction algorithms flag as potentially harmful. The work, published as a research article in BMC Genomic Data, focused on two categories of variation: variants that change the protein’s amino acid sequence, and variants located in untranslated regions (UTRs), the segments of the gene’s RNA that are not translated into protein but can influence how the gene is regulated.
The researchers retrieved a total of 1,003 FOXE1 variants from the Genome Browser, of which 306 were non-synonymous single nucleotide variants (nsSNVs) — single-letter DNA changes that alter the encoded amino acid — and 508 were UTR variants. Each variant was then run through the Variant Effect Predictor together with eight additional prediction tools. From this combined analysis, 37 variants emerged as high-risk candidates.
To characterize what these high-risk variants might do to the protein, the team examined the structural consequences of the amino acid substitutions. Of the 37 high-risk variants, 23 replaced the original amino acid with a smaller one, 13 introduced a larger substitution, and one produced no size-related change. Structural predictions indicated altered hydrophobicity and torsion angles in several of the variants, which the authors suggest could have significant functional consequences. Stability analysis pointed in the same direction: decreased protein stability was predicted for 32 of the high-risk variants, indicating potential disruption to protein function.
The study also turned to the untranslated regions, where variation can affect gene regulation rather than protein sequence. Two UTR variants, rs41274262 and rs7043516, were predicted to increase regulatory activity slightly. Because FOXE1 is a transcription factor tied to thyroid development, changes in how much of the gene is expressed could in principle matter for thyroid function, although the study’s predictions are computational and do not by themselves demonstrate an effect in living tissue.
Frequency analysis across population databases showed considerable variability in how common these variants are in different parts of the world. Some UTR variants appeared at higher frequencies in African and East Asian populations than elsewhere, a pattern the authors highlight as evidence of the population-specific nature of FOXE1 variation. Such differences matter for genetic studies, because variant frequencies shape how likely a given variant is to contribute to traits in a given population.
The analysis also connected specific variants to clinical phenotypes previously reported in the literature, including thyroid hypoplasia, congenital hypothyroidism, and orofacial clefts. FOXE1 has long been associated with thyroid disorders and with other phenotypic traits such as cancer and orofacial clefts, and the study notes these associations for particular variants within its dataset. These are associations noted for specific variants rather than proof that the flagged variants cause any of these conditions.
Conservation analysis added another line of evidence: several of the UTR variants sit at positions that are highly conserved across species, suggesting that these positions may play functional roles in humans. Conserved sequence is often taken as a sign of biological importance, because positions that matter tend to change little over evolutionary time. The authors present this as supporting the potential functional relevance of the UTR variants they studied.
It is important to read the findings for what they are: an in silico — purely computational — survey. The study did not perform laboratory experiments or clinical testing, and the tools used to predict effects on protein structure, stability, and regulation generate estimates rather than measured outcomes. The article was shared early as a peer-reviewed, accepted manuscript carrying a permanent DOI, with a final version of record to follow. Within those limits, the work offers a structured catalog of FOXE1 variation and a prioritized list of 37 variants — most of which are predicted to destabilize the protein — that can guide future experimental and clinical investigation of the gene’s role in thyroid development and related traits.
Subject of Research: In silico analysis of genetic variability in the FOXE1 gene, focusing on non-synonymous and UTR variants and their predicted functional impacts
Article Title: Exploring genetic variability in FOXE1 through in silico approaches: new insights on UTR variants
Article References: de Oliveira Lisboa, R., Pimentel, C. V. R., Lourenço, V. H. B., dos Santos, J. C. V., Nunes, R. F., de Souza, F. G., da Costa, A. J. M., & da Silva, L. C. S. (2026). Exploring genetic variability in FOXE1 through in silico approaches: new insights on UTR variants. BMC Genomic Data. https://doi.org/10.1186/s12863-026-01479-7
Image Credits: AI Generated
DOI: 10.1186/s12863-026-01479-7
Keywords: FOXE1, genetic variants, in silico analysis, UTR variants, nsSNVs, thyroid development, protein stability, variant prediction, population genetics, congenital hypothyroidism, orofacial clefts, BMC Genomic Data
News Source: Juliet Wilcox. (October 29, 2026). Computational Screen Flags 37 High-Risk Variants in the Thyroid Gene FOXE1. Scienmag.
