Titre

Genomic architecture and prediction of censored time-to-event phenotypes with a Bayesian genome-wide analysis.

Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Ojavee, S.E.
Auteure/Auteur
Kousathanas, A.
Auteure/Auteur
Trejo Banos, D.
Auteure/Auteur
Orliac, E.J.
Auteure/Auteur
Patxot, M.
Auteure/Auteur
Läll, K.
Auteure/Auteur
Mägi, R.
Auteure/Auteur
Fischer, K.
Auteure/Auteur
Kutalik, Z.
Auteure/Auteur
Robinson, M.R.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
ISSN
2041-1723
Statut éditorial
Publié
Date de publication
2021-04-20
Volume
12
Numéro
1
Première page
2337
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: epublish
Résumé
While recent advancements in computation and modelling have improved the analysis of complex traits, our understanding of the genetic basis of the time at symptom onset remains limited. Here, we develop a Bayesian approach (BayesW) that provides probabilistic inference of the genetic architecture of age-at-onset phenotypes in a sampling scheme that facilitates biobank-scale time-to-event analyses. We show in extensive simulation work the benefits BayesW provides in terms of number of discoveries, model performance and genomic prediction. In the UK Biobank, we find many thousands of common genomic regions underlying the age-at-onset of high blood pressure (HBP), cardiac disease (CAD), and type-2 diabetes (T2D), and for the genetic basis of onset reflecting the underlying genetic liability to disease. Age-at-menopause and age-at-menarche are also highly polygenic, but with higher variance contributed by low frequency variants. Genomic prediction into the Estonian Biobank data shows that BayesW gives higher prediction accuracy than other approaches.
PID Serval
serval:BIB_DD352C34FFE4
DOI
PMID
Permalien
Open Access
Oui
Date de création
2021-04-26T07:34:28.575Z
Date de création dans IRIS
2025-05-21T03:01:57Z
Fichier(s)
En cours de chargement...
Vignette d'image
Nom

33879782_BIB_DD352C34FFE4.pdf

Version du manuscrit

published

Licence

https://creativecommons.org/licenses/by/4.0

Taille

6.17 MB

Format

Adobe PDF

PID Serval

serval:BIB_DD352C34FFE4.P001

URN

urn:nbn:ch:serval-BIB_DD352C34FFE41

Somme de contrôle

(MD5):eca8b9ae713835c5b785211dd08d8a2e