دورية أكاديمية

A method to estimate the contribution of rare coding variants to complex trait heritability

التفاصيل البيبلوغرافية
العنوان: A method to estimate the contribution of rare coding variants to complex trait heritability
المؤلفون: Nazia Pathan, Wei Q. Deng, Matteo Di Scipio, Mohammad Khan, Shihong Mao, Robert W. Morton, Ricky Lali, Marie Pigeyre, Michael R. Chong, Guillaume Paré
المصدر: Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
بيانات النشر: Nature Portfolio, 2024.
سنة النشر: 2024
المجموعة: LCC:Science
مصطلحات موضوعية: Science
الوصف: Abstract It has been postulated that rare coding variants (RVs; MAF 5%, with height having the highest h 2 RV at 21.9% (95% CI: 19.0-24.8%). The total heritability, including common and rare variants, recovered pedigree-based estimates for 11 traits. RARity can estimate gene-level h 2 RV, enabling the assessment of gene-level characteristics and revealing 11, previously unreported, gene-phenotype relationships. Finally, we demonstrated that in silico pathogenicity prediction (variant-level) and gene-level annotations do not generally enrich for RVs that over-contribute to complex trait variance, and thus, innovative methods are needed to predict RV functionality.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2041-1723
Relation: https://doaj.org/toc/2041-1723
DOI: 10.1038/s41467-024-45407-8
URL الوصول: https://doaj.org/article/c178b4267dff4643bed6e59ce258ffbb
رقم الأكسشن: edsdoj.178b4267dff4643bed6e59ce258ffbb
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20411723
DOI:10.1038/s41467-024-45407-8