Population genomics of cardiometabolic traits: design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium.
Shah, Tina;
Engmann, Jorgen;
Dale, Caroline;
Shah, Sonia;
White, Jon;
Giambartolomei, Claudia;
McLachlan, Stela;
Zabaneh, Delilah;
Cavadino, Alana;
Finan, Chris;
+37 more...Wong, Andrew;
Amuzu, Antoinette;
Ong, Ken;
Gaunt, Tom;
Holmes, Michael V;
Warren, Helen;
Swerdlow, Daniel I;
Davies, Teri-Louise;
Drenos, Fotios;
Cooper, Jackie;
Sofat, Reecha;
Caulfield, Mark;
Ebrahim, Shah;
Lawlor, Debbie A;
Talmud, Philippa J;
Humphries, Steve E;
Power, Christine;
Hypponen, Elina;
Richards, Marcus;
Hardy, Rebecca;
Kuh, Diana;
Wareham, Nicholas;
Langenberg, Claudia;
Ben-Shlomo, Yoav;
Day, Ian N;
Whincup, Peter;
Morris, Richard;
Strachan, Mark WJ;
Price, Jacqueline;
Kumari, Meena;
Kivimaki, Mika;
Plagnol, Vincent;
Dudbridge, Frank;
Whittaker, John C;
Casas, Juan P;
Hingorani, Aroon D;
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-.
ISSN 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0071345
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Use this Digital Object Identifier when citing or linking to this resource.
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.
