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Type: Journal article
Title: Population genomics of cardiometabolic traits: design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium
Author: Shah, T.
Engmann, J.
Dale, C.
Shah, S.
White, J.
Giambartolomei, C.
McLachlan, S.
Zabaneh, D.
Cavadino, A.
Finan, C.
Wong, A.
Amuzu, A.
Ong, K.
Gaunt, T.
Holmes, M.
Warren, H.
Davies, T.
Drenos, F.
Cooper, J.
Sofat, R.
et al.
Citation: PLoS One, 2013; 8(8):e71345-1-e71345-12
Publisher: Public Library of Science
Issue Date: 2013
ISSN: 1932-6203
Editor: Zeller, T.
Statement of
Tina Shah ... Debbie A. Lawlor ... et al. on behalf of the UCLEB Consortium
Abstract: Substantial advances have been made in identifying common genetic variants influencing cardiometabolic traits and disease outcomes through genome wide association studies. Nevertheless, gaps in knowledge remain and new questions have arisen regarding the population relevance, mechanisms, and applications for healthcare. Using a new high-resolution custom single nucleotide polymorphism (SNP) array (Metabochip) incorporating dense coverage of genomic regions linked to cardiometabolic disease, the University College-London School-Edinburgh-Bristol (UCLEB) consortium of highly-phenotyped population-based prospective studies, aims to: (1) fine map functionally relevant SNPs; (2) precisely estimate individual absolute and population attributable risks based on individual SNPs and their combination; (3) investigate mechanisms leading to altered risk factor profiles and CVD events; and (4) use Mendelian randomisation to undertake studies of the causal role in CVD of a range of cardiovascular biomarkers to inform public health policy and help develop new preventative therapies.
Keywords: UCLEB Consortium
Cardiovascular Diseases
Oligonucleotide Array Sequence Analysis
Longitudinal Studies
Polymorphism, Single Nucleotide
Genome, Human
Research Design
Genome-Wide Association Study
Genetic Association Studies
Rights: © 2013 Shah et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI: 10.1371/journal.pone.0071345
Grant ID: AG1764406S1
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