Systematic analysis and prediction of genes associated with monogenic disorders on human chromosome X.

Fiche publication

Date publication

novembre 2022

Journal

Nature communications

Auteurs

Membres identifiés du Cancéropôle Est :
Pr MANDEL Jean-Louis

Tous les auteurs :
Leitão E, Schröder C, Parenti I, Dalle C, Rastetter A, Kühnel T, Kuechler A, Kaya S, Gérard B, Schaefer E, Nava C, Drouot N, Engel C, Piard J, Duban-Bedu B, Villard L, Stegmann APA, Vanhoutte EK, Verdonschot JAJ, Kaiser FJ, Tran Mau-Them F, Scala M, Striano P, Frints SGM, Argilli E, Sherr EH, Elder F, Buratti J, Keren B, Mignot C, Héron D, Mandel JL, Gecz J, Kalscheuer VM, Horsthemke B, Piton A, Depienne C

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/36323681

Résumé

Disease gene discovery on chromosome (chr) X is challenging owing to its unique modes of inheritance. We undertook a systematic analysis of human chrX genes. We observe a higher proportion of disorder-associated genes and an enrichment of genes involved in cognition, language, and seizures on chrX compared to autosomes. We analyze gene constraints, exon and promoter conservation, expression, and paralogues, and report 127 genes sharing one or more attributes with known chrX disorder genes. Using machine learning classifiers trained to distinguish disease-associated from dispensable genes, we classify 247 genes, including 115 of the 127, as having high probability of being disease-associated. We provide evidence of an excess of variants in predicted genes in existing databases. Finally, we report damaging variants in CDK16 and TRPC5 in patients with intellectual disability or autism spectrum disorders. This study predicts large-scale gene-disease associations that could be used for prioritization of X-linked pathogenic variants.