期刊
BRIEFINGS IN BIOINFORMATICS
卷 23, 期 5, 页码 -出版社
OXFORD UNIV PRESS
DOI: 10.1093/bib/bbac287
关键词
X-chromosome; GWAS; eQTL; X-inactivation; association analysis; linear regression
资金
- Radboud University Medical Center
This review provides an overview of practical approaches to incorporate the X-chromosome in association analysis, including Genome-Wide Association Studies and Expression Quantitative Trait Loci Analysis. It emphasizes the need to use a combination of different association tests for the analysis of the X-chromosome.
Genetic association studies have been very successful at elucidating the genetic background of many complex diseases/traits. However, the X-chromosome is often neglected in these studies because of technical difficulties and the fact that most tools only utilize genetic data from autosomes. In this review, we aim to provide an overview of different practical approaches that are followed to incorporate the X-chromosome in association analysis, such as Genome-Wide Association Studies and Expression Quantitative Trait Loci Analysis. In general, the choice of which test statistics is most appropriate will depend on three main criteria: (1) the underlying X-inactivation model, (2) if Hardy-Weinberg equilibrium holds and sex-specific allele frequencies are expected and (3) whether adjustment for confounding variables is required. All in all, it is recommended that a combination of different association tests should be used for the analysis of X-chromosome.
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