Calibrated rare variant genetic risk scores for complex disease prediction using large exome sequence repositories
Identifying associations of rare variants with disease is challenging due to small effect sizes, technical artefacts and population structure heterogeneity. Here, the authors present RV-EXCALIBER, a method that uses large summary-level exome data to robustly calibrate rare variant burden.
Enregistré dans:
Auteurs principaux: | Ricky Lali, Michael Chong, Arghavan Omidi, Pedrum Mohammadi-Shemirani, Ann Le, Edward Cui, Guillaume Paré |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/a1bacb5072a44cb987a5aa7ca05c17bd |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Rare variants in ischemic stroke: an exome pilot study.
par: John W Cole, et autres
Publié: (2012) -
Large-scale whole-exome sequencing association studies identify rare functional variants influencing serum urate levels
par: Adrienne Tin, et autres
Publié: (2018) -
Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population
par: Noha A. Yousri, et autres
Publié: (2018) -
Genome-wide rare variant analysis for thousands of phenotypes in over 70,000 exomes from two cohorts
par: Elizabeth T. Cirulli, et autres
Publié: (2020) -
Contextualizing genetic risk score for disease screening and rare variant discovery
par: Dan Zhou, et autres
Publié: (2021)