ArticleHuman genetics2021
Insights into the pathogenicity of missense variants in the forkhead domain of FOX proteins underlying Mendelian disorders.
Article in Human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- FOXK1 regulates apoptosis, migration and angiogenesis in high glucose-induced vascular endothelial cells through p-AKT/AKT signaling pathway.BMC biotechnology · 2025Article
- Transcription factor FOXP1 mediates vascular endothelial dysfunction in diabetic retinopathy.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2022Article
- Dynamic 3D genome reorganization during development and metabolic stress of the porcine liver.Cell discovery · 2022Article
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Forkhead box (FOX) proteins are members of a conserved family of transcription factors. Pathogenic variants in FOX genes have been shown to be responsible for several human genetic diseases. Here, we have studied the molecular and structural features of germline pathogenic variants in seven FOX proteins involved in Mendelian disorders and compared them with those of variants present in the general population (gnomAD). Our study shows that the DNA-binding domain of FOX proteins is particularly sensitive to damaging variation, although some family members show greater mutational tolerance than others. Next, we set to demonstrate that this tolerance depends on the inheritance mode of FOX-linked disorders. Accordingly, genes whose variants underlie recessive conditions are supposed to have a greater tolerance to variation. This is what we found. As expected, variants responsible for disorders with a dominant inheritance pattern show a higher degree of pathogenicity compared to those segregating in the general population. Moreover, we show that pathogenic and likely pathogenic variants tend to affect mutually exclusive sites with respect to those reported in gnomAD. The former also tend to affect sites with lower solvent exposure and a higher degree of conservation. Our results show the value of using publicly available databases and bioinformatics to gain insights into the molecular and structural bases of disease-causing genetic variation.
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