Projects per year
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.
Original language | English |
---|---|
Pages (from-to) | 82-90 |
Number of pages | 21 |
Journal | Nature |
Volume | 526 |
Issue number | 7571 |
Early online date | 14 Sept 2015 |
DOIs | |
Publication status | Published - 1 Oct 2015 |
Bibliographical note
Date of Acceptance: 17/07/2015Keywords
- Adiponectin
- Alleles
- Cohort Studies
- Disease
- Exome
- Female
- Genetic Predisposition to Disease
- Genetic Variation
- Genetics, Medical
- Genetics, Population
- Genome, Human
- Genome-Wide Association Study
- Genomics
- Great Britain
- Health
- Humans
- Lipid Metabolism
- Male
- Molecular Sequence Annotation
- Receptors, LDL
- Reference Standards
- Sequence Analysis, DNA
- Triglycerides
Fingerprint
Dive into the research topics of 'The UK10K project identifies rare variants in health and disease'. Together they form a unique fingerprint.Projects
- 3 Finished
-
MRC UoB UNITE Unit - Programme 1
Davey Smith, G. (Principal Investigator)
1/06/13 → 31/03/18
Project: Research
-
MRC UoB UNITE Unit - programme 3
Timpson, N. J. (Principal Investigator) & Timpson, N. J. (Principal Investigator)
1/06/13 → 31/03/18
Project: Research
-
MRC Population Health Scientist Fellowship
Paternoster, L. (Principal Investigator)
1/10/12 → 1/10/16
Project: Research
Profiles
-
Dr Daniel John Lawson
- School of Mathematics - Associate Professor in Data Science
- Bristol Population Health Science Institute
- MRC Integrative Epidemiology Unit
Person: Academic , Member
-
Professor Nicholas John Timpson
- Bristol Medical School (PHS) - Professor of Genetic Epidemiology
- Bristol Population Health Science Institute
- MRC Integrative Epidemiology Unit
- Cancer
Person: Academic , Member