Nature Communications (Apr 2018)

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

  • 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

DOI
https://doi.org/10.1038/s41467-018-03911-8
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 8

Abstract

Read online

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.