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

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 asse...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Nature communications 2024-02, Vol.15 (1), p.1245-1245, Article 1245
Hauptverfasser: Pathan, Nazia, Deng, Wei Q., Di Scipio, Matteo, Khan, Mohammad, Mao, Shihong, Morton, Robert W., Lali, Ricky, Pigeyre, Marie, Chong, Michael R., Paré, Guillaume
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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. The contribution of rare variants to complex traits has not been well studied. Here, the authors present RARity, a method to assess rare variant heritability without assuming a particular genetic architecture and enabling both gene-level and exome-wide heritability estimation of continuous traits.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-45407-8