Federated analysis of autosomal recessive coding variants in 29,745 developmental disorder patients from diverse populations
| dc.contributor.author | Chundru, V. Kartik | |
| dc.contributor.author | Zhang, Zhancheng | |
| dc.contributor.author | Walter, Klaudia | |
| dc.contributor.author | Lindsay, Sarah J. | |
| dc.contributor.author | Danecek, Petr | |
| dc.contributor.author | Ayaz, Akif | |
| dc.contributor.author | Martin, Hilary C. | |
| dc.date.accessioned | 2025-06-20T11:54:22Z | |
| dc.date.available | 2025-06-20T11:54:22Z | |
| dc.date.issued | 2024 | |
| dc.department | İstanbul Medipol Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Tıbbi Genetik Ana Bilim Dalı | |
| dc.description.abstract | Autosomal recessive coding variants are well-known causes of rare disorders. We quantified the contribution of these variants to developmental disorders in a large, ancestrally diverse cohort comprising 29,745 trios, of whom 20.4% had genetically inferred non-European ancestries. The estimated fraction of patients attributable to exome-wide autosomal recessive coding variants ranged from ~2–19% across genetically inferred ancestry groups and was significantly correlated with average autozygosity. Established autosomal recessive developmental disorder-associated (ARDD) genes explained 84.0% of the total autosomal recessive coding burden, and 34.4% of the burden in these established genes was explained by variants not already reported as pathogenic in ClinVar. Statistical analyses identified two novel ARDD genes: KBTBD2 and ZDHHC16. This study expands our understanding of the genetic architecture of developmental disorders across diverse genetically inferred ancestry groups and suggests that improving strategies for interpreting missense variants in known ARDD genes may help diagnose more patients than discovering the remaining genes. | |
| dc.description.sponsorship | Wellcome Trust ; Health Innovation Challenge Fund ; National Institute for Health and Care Research (NIHR) Exeter Biomedical Research Centre ; Gates Cambridge Scholarship | |
| dc.identifier.citation | Chundru, V. K., Zhang, Z., Walter, K., Lindsay, S. J., Danecek, P., Ayaz, A. ... Martin, H.C. (2024). Federated analysis of autosomal recessive coding variants in 29,745 developmental disorder patients from diverse populations. Nature Genetics, 56(10), 2046-2053. http://dx.doi.org/10.1038/s41588-024-01910-8 | |
| dc.identifier.doi | 10.1038/s41588-024-01910-8 | |
| dc.identifier.endpage | 2053 | |
| dc.identifier.issn | 1061-4036 | |
| dc.identifier.issn | 1546-1718 | |
| dc.identifier.issue | 10 | |
| dc.identifier.pmid | 39313616 | |
| dc.identifier.scopus | 2-s2.0-85204521369 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 2046 | |
| dc.identifier.uri | http://dx.doi.org/10.1038/s41588-024-01910-8 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12511/12982 | |
| dc.identifier.volume | 56 | |
| dc.identifier.wos | WOS:001320162700002 | |
| dc.identifier.wosquality | Q1 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.indekslendigikaynak | PubMed | |
| dc.institutionauthor | Ayaz, Akif | |
| dc.institutionauthorid | 0000-0001-6930-7148 | |
| dc.language.iso | en | |
| dc.relation.ec | info:eu-repo/grantAgreement/EC/FP7/HICF-1009-003 | |
| dc.relation.ec | info:eu-repo/grantAgreement/EC/FP7/226083/Z/22/Z | |
| dc.relation.ec | info:eu-repo/grantAgreement/EC/FP7/OPP1144 | |
| dc.relation.ispartof | Nature Genetics | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Genetic Screening | |
| dc.subject | Exome Insights | |
| dc.subject | Rare Diseases | |
| dc.subject | ARDD | |
| dc.subject | KBTBD2 | |
| dc.subject | ZDHHC16 | |
| dc.title | Federated analysis of autosomal recessive coding variants in 29,745 developmental disorder patients from diverse populations | |
| dc.type | Article |










