Key result
The UCLEB consortium integrates data from over 30,000 participants across 12 UK cohorts to fine-map cardiometabolic loci, estimate genetic risks, and conduct Mendelian randomization studies.
The UCLEB consortium aims to utilize the Metabochip SNP array to fine-map cardiometabolic traits, estimate risks, and conduct Mendelian randomization studies to inform public health and preventative therapies.
May inform future cardiometabolic prevention strategies; leaves open clinical translation pending validation.
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.
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Shah et al. (2013) studied Cardiometabolic traits (n=67,318). Genetic variants (Metabochip) was evaluated. The UCLEB consortium integrates data from over 30,000 participants across 12 UK cohorts to fine-map cardiometabolic loci, estimate genetic risks, and conduct Mendelian randomization studies.
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