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

Authors :
Danish Saleheen
Krishna G. Aragam
Wendy S. Post
Jerome I. Rotter
Pradeep Natarajan
Jennifer A. Mattera
Roberto Elosua
Usman Baber
Matthew J. Bown
Ruth McPherson
John Danesh
Yii-Der Ida Chen
Stephen S. Rich
Derek Klarin
Paul M. Ridker
Sekar Kathiresan
Kent D. Taylor
James G. Wilson
Seyedeh M. Zekavat
Akihiro Nomura
Diego Ardissino
Amit Khera
Connor A. Emdin
John A. Spertus
Bruce M. Psaty
Daniel I. Chasman
Namrata Gupta
Wayne H-H Sheu
Judith H. Lichtman
Joshua C. Denny
Hugh Watkins
Harlan M. Krumholz
Heribert Schunkert
Gail D'Onofrio
Stacey Gabriel
Mark Chaffin
Alexander G. Bick
Jeanette Erdmann
Mary E. Haas
Lisa Bastarache
Nilesh J. Samani
Emdin, Connor A [0000-0002-2385-8259]
Chaffin, Mark [0000-0002-1234-5562]
Erdmann, Jeanette [0000-0002-4486-6231]
Saleheen, Danish [0000-0001-6193-020X]
Kathiresan, Sekar [0000-0002-6724-032X]
Apollo - University of Cambridge Repository
Source :
Nature Communications, Vol 9, Iss 1, Pp 1-8 (2018), Nature Communications, Nature communications, vol 9, iss 1
Publication Year :
2018

Abstract

Less than 3% of protein-coding genetic variants are predicted to result in loss of protein function through the introduction of a stop codon, frameshift, or the disruption of an essential splice site; however, such predicted loss-of-function (pLOF) variants provide insight into effector transcript and direction of biological effect. In >400,000 UK Biobank participants, we conduct association analyses of 3759 pLOF variants with six metabolic traits, six cardiometabolic diseases, and twelve additional diseases. We identified 18 new low-frequency or rare (allele frequency<br />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.

Details

Language :
English
ISSN :
20411723
Volume :
9
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....8e8ad3a2c0ec080c5c7ed976ba62fb2b