The UK10K project identifies rare variants in health and disease

Klaudia Walter, Josine L Min, Jie Huang, Lucy Crooks, Yasin Memari, Shane McCarthy, John R B Perry, ChangJiang Xu, Marta Futema, Daniel Lawson, Valentina Iotchkova, Stephan Schiffels, Audrey E Hendricks, Petr Danecek, Rui Li, James Floyd, Louise V Wain, Inês Barroso, Steve E Humphries, Matthew E HurlesEleftheria Zeggini, Jeffrey C Barrett, Vincent Plagnol, J Brent Richards, Celia M T Greenwood, Nicholas J Timpson, Richard Durbin, Nicole Soranzo, UK10K Consortium (Børge G. Nordestgaard, Marianne Benn, Anne Tybjerg-Hansen, Anette Varbo, members)

790 Citationer (Scopus)

Abstract

The contribution of rare and low-frequency variants to human traits is largely unexplored. Here we describe insights from sequencing whole genomes (low read depth, 7×) or exomes (high read depth, 80×) of nearly 10,000 individuals from population-based and disease collections. In extensively phenotyped cohorts we characterize over 24 million novel sequence variants, generate a highly accurate imputation reference panel and identify novel alleles associated with levels of triglycerides (APOB), adiponectin (ADIPOQ) and low-density lipoprotein cholesterol (LDLR and RGAG1) from single-marker and rare variant aggregation tests. We describe population structure and functional annotation of rare and low-frequency variants, use the data to estimate the benefits of sequencing for association studies, and summarize lessons from disease-specific collections. Finally, we make available an extensive resource, including individual-level genetic and phenotypic data and web-based tools to facilitate the exploration of association results.

OriginalsprogEngelsk
TidsskriftNature
Vol/bind526
Udgave nummer7571
Sider (fra-til)82-90
Antal sider9
ISSN0028-0836
DOI
StatusUdgivet - 2015

Fingeraftryk

Dyk ned i forskningsemnerne om 'The UK10K project identifies rare variants in health and disease'. Sammen danner de et unikt fingeraftryk.

Citationsformater