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
- 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
DOIAbstract
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 ...
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