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Population Genomics of Cardiometabolic Traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium
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Population genomics of cardiometabolic traits: design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium.pdf | Published version | 202.72 kB | Adobe PDF | View/Open |
Title: | Population Genomics of Cardiometabolic Traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium |
Authors: | 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 |
Item Type: | Journal Article |
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. |
Issue Date: | 20-Aug-2013 |
Date of Acceptance: | 29-Jun-2013 |
URI: | http://hdl.handle.net/10044/1/40054 |
DOI: | http://dx.doi.org/10.1371/journal.pone.0071345 |
ISSN: | 1932-6203 |
Publisher: | Public Library of Science |
Journal / Book Title: | PLOS One |
Volume: | 8 |
Issue: | 8 |
Copyright Statement: | © 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. |
Keywords: | Adult Aged Aged, 80 and over Cardiovascular Diseases Female Genetic Association Studies Genetic Markers Genome, Human Genome-Wide Association Study Humans Longitudinal Studies Male Metabolic Networks and Pathways Metagenomics Middle Aged Oligonucleotide Array Sequence Analysis Polymorphism, Single Nucleotide Research Design Risk Factors UCLEB Consortium General Science & Technology MD Multidisciplinary |
Publication Status: | Published |
Article Number: | e71345 |
Appears in Collections: | Department of Medicine (up to 2019) |