Publication Date:
2015-09-15
Description:
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, 7x) or exomes (high read depth, 80x) 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.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4773891/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉 〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4773891/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉UK10K Consortium -- Walter, Klaudia -- Min, Josine L -- Huang, Jie -- Crooks, Lucy -- Memari, Yasin -- McCarthy, Shane -- Perry, John R B -- Xu, ChangJiang -- Futema, Marta -- Lawson, Daniel -- Iotchkova, Valentina -- Schiffels, Stephan -- Hendricks, Audrey E -- Danecek, Petr -- Li, Rui -- Floyd, James -- Wain, Louise V -- Barroso, Ines -- Humphries, Steve E -- Hurles, Matthew E -- Zeggini, Eleftheria -- Barrett, Jeffrey C -- Plagnol, Vincent -- Richards, J Brent -- Greenwood, Celia M T -- Timpson, Nicholas J -- Durbin, Richard -- Soranzo, Nicole -- 091551/Wellcome Trust/United Kingdom -- 095515/Wellcome Trust/United Kingdom -- 095564/Wellcome Trust/United Kingdom -- 098498/Wellcome Trust/United Kingdom -- 100140/Wellcome Trust/United Kingdom -- 104036/Wellcome Trust/United Kingdom -- CZD/16/6/4/Chief Scientist Office/United Kingdom -- MC_UU_12013/3/Medical Research Council/United Kingdom -- RG/10/13/28570/British Heart Foundation/United Kingdom -- WT091310/Wellcome Trust/United Kingdom -- England -- Nature. 2015 Oct 1;526(7571):82-90. doi: 10.1038/nature14962. Epub 2015 Sep 14.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26367797" target="_blank"〉PubMed〈/a〉
Keywords:
Adiponectin/blood
;
Alleles
;
Cohort Studies
;
Disease/*genetics
;
Exome/genetics
;
Female
;
Genetic Predisposition to Disease/genetics
;
Genetic Variation/*genetics
;
Genetics, Medical
;
Genetics, Population
;
Genome, Human/*genetics
;
Genome-Wide Association Study
;
Genomics
;
Great Britain
;
*Health
;
Humans
;
Lipid Metabolism/genetics
;
Male
;
Molecular Sequence Annotation
;
Receptors, LDL/genetics
;
Reference Standards
;
Sequence Analysis, DNA
;
Triglycerides/blood
Print ISSN:
0028-0836
Electronic ISSN:
1476-4687
Topics:
Biology
,
Chemistry and Pharmacology
,
Medicine
,
Natural Sciences in General
,
Physics
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