The UK10K project identifies rare variants in health and disease
Web of Science
AuthorWalter, K; Min, JL; Huang, J; Crooks, L; Memari, Y; McCarthy, S; Perry, JRB; Xu, C; Futema, M; Lawson, D; ...
PublisherNATURE PUBLISHING GROUP
University of Melbourne Author/sKaye, Jane
AffiliationMelbourne Law School
Document TypeJournal Article
CitationsWalter, K., Min, J. L., Huang, J., Crooks, L., Memari, Y., McCarthy, S., Perry, J. R. B., Xu, C., Futema, M., Lawson, D., Iotchkova, V., Schiffels, S., Hendricks, A. E., Danecek, P., Li, R., Floyd, J., Wain, L. V., Barroso, I., Humphries, S. E. ,... Zhang, W. (2015). The UK10K project identifies rare variants in health and disease. NATURE, 526 (7571), pp.82-+. https://doi.org/10.1038/nature14962.
Access StatusOpen Access
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.
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