Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease

Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease

Examination of predicted loss-of-function (pLOF) genetic variants allows direct identification of genes with therapeutic potential. Here, Emdin et al. perform association analysis for 3759 pLOF variants with 24 traits and highlight protective variants against cardiometabolic and immune phenotypes.

Bibliographic Details
Main Authors: Connor A. Emdin, Amit V. Khera, Mark Chaffin, Derek Klarin, Pradeep Natarajan, Krishna Aragam, Mary Haas, Alexander Bick, Seyedeh M. Zekavat, Akihiro Nomura, Diego Ardissino, James G. Wilson, Heribert Schunkert, Ruth McPherson, Hugh Watkins, Roberto Elosua, Matthew J. Bown, Nilesh J. Samani, Usman Baber, Jeanette Erdmann, Namrata Gupta, John Danesh, Daniel Chasman, Paul Ridker, Joshua Denny, Lisa Bastarache, Judith H. Lichtman, Gail D’Onofrio, Jennifer Mattera, John A. Spertus, Wayne H.-H. Sheu, Kent D. Taylor, Bruce M. Psaty, Stephen S. Rich, Wendy Post, Jerome I. Rotter, Yii-Der Ida Chen, Harlan Krumholz, Danish Saleheen, Stacey Gabriel, Sekar Kathiresan
Format: Article
Language:English
Published: Nature Portfolio 2018-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-03911-8

Internet

https://doi.org/10.1038/s41467-018-03911-8

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