SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

Population Genomics of Cardiometabolic Traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium.

Shah, T; Engmann, J; Dale, C; Shah, S; White, J; Giambartolomei, C; McLachlan, S; Zabaneh, D; Cavadino, A; Finan, C; et al. 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, MV; Warren, H; Swerdlow, DI; Davies, TL; Drenos, F; Cooper, J; Sofat, R; Caulfield, M; Ebrahim, S; Lawlor, DA; Talmud, PJ; Humphries, SE; Power, C; Hypponen, E; Richards, M; Hardy, R; Kuh, D; Wareham, N; Langenberg, C; Ben-Shlomo, Y; Day, IN; Whincup, P; Morris, R; Strachan, MW; Price, J; Kumari, M; Kivimaki, M; Plagnol, V; Dudbridge, F; Whittaker, JC; Casas, JP; Hingorani, AD; UCLEB Consortium (2013) Population Genomics of Cardiometabolic Traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium. PLoS One, 8 (8). e71345 - e71345 (11). ISSN 1932-6203 https://doi.org/10.1371/journal.pone.0071345
SGUL Authors: Whincup, Peter Hynes

[img]
Preview
["document_typename_application/pdf; charset=binary" not defined] Published Version
Download (207kB) | Preview

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.

Item Type: Article
Additional Information: PMCID: PMC3748096. Copyright: © 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.
SGUL Research Institute / Research Centre: Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title: PLoS One
ISSN: 1932-6203
Related URLs:
Dates:
DateEvent
1 August 2013Published
PubMed ID: 23977022
Web of Science ID: 23977022
Download EPMC Full text (PDF)
Download EPMC Full text (HTML)
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/102758
Publisher's version: https://doi.org/10.1371/journal.pone.0071345

Actions (login required)

Edit Item Edit Item