Lookup NU author(s): Professor Heather Cordell
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© 2018 Elsevier Ltd Genome-wide association studies (GWAS) detect common genetic variants associated with complex disorders. With their comprehensive coverage of common single nucleotide polymorphisms and comparatively low cost, GWAS are an attractive tool in the clinical and commercial genetic testing. This review introduces the pipeline of statistical methods used in GWAS analysis, from data quality control, association tests, population structure control, interaction effects and results visualization, through to post-GWAS validation methods and related issues.
Author(s): Wang MH, Cordell HJ, Van Steen K
Publication type: Article
Publication status: Published
Journal: Seminars in Cancer Biology
Print publication date: 01/04/2019
Online publication date: 01/05/2018
Acceptance date: 28/04/2018
ISSN (print): 1044-579X
ISSN (electronic): 1096-3650
Publisher: Academic Press
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