Identifying functional noncoding variants from genome-wide association studies for cardiovascular disease and related traitsSmith, Andrew J.P.; Humphries, Steve E.; Talmud, Philippa J.Current Opinion in Lipidology: April 2015 - Volume 26 - Issue 2 - p 120–126 doi: 10.1097/MOL.0000000000000158 GENETICS AND MOLECULAR BIOLOGY: Edited by Robert A. Hegele Buy Abstract Author InformationAuthors Article MetricsMetrics Purpose of review Genome-wide association studies have identified many novel loci for cardiovascular disease and related traits. Attention is now shifting towards the analysis of these loci for causal variants, with a view to identify the novel mechanisms leading to disease. Recent findings This review focuses on the approaches to identify causal, noncoding variants for coronary artery disease, lipid traits and other cardiovascular risk factors. Fine-mapping studies are discussed, along with the novel statistical approaches to produce ‘credible sets’. The use of combining genome-wide association study datasets with experimental methods such as expression quantitative trait loci and allele-specific chromatin accessibility are explored, with recent examples discussed. Mapping long-range chromatin interactions and evolving genome-editing technologies such as clustered regularly interspaced short palindromic repeats combined with clustered regularly interspaced short palindromic repeats-associated (Cas9) nuclease promise to aid considerably the search for causal variants. Summary Identification of causal variants for cardiovascular disease and related traits is still in the early stages, but with technologies evolving and increasingly relevant tissue samples undergoing analysis, there are favourable prospects that many new mechanisms for disease will be uncovered by the end of this decade. British Heart Foundation Laboratories, Institute of Cardiovascular Sciences, Centre for Cardiovascular Genetics, University College London, London, UK Correspondence to Dr Andrew J.P. Smith, PhD, Institute of Cardiovascular Sciences, Centre for Cardiovascular Genetics, University College London, 5 University Street, WC1E 6JF, London, UK. Tel: +44 020 7679 6964; fax: +44 020 7679 6212; e-mail: Andrew.J.P.Smith@ucl.ac.uk Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.