Abstract：
:In recent years, genome-wide association studies have identified 58 independent risk loci for coronary artery disease (CAD) on the autosome. However, due to the sex-specific data structure of the X chromosome, it has been excluded from most of these analyses. While females have 2 copies of chromosome X, males have only one. Also, one of the female X chromosomes may be inactivated. Therefore, special test statistics and quality control procedures are required. Thus, little is known about the role of X-chromosomal variants in CAD. To fill this gap, we conducted a comprehensive X-chromosome-wide meta-analysis including more than 43,000 CAD cases and 58,000 controls from 35 international study cohorts. For quality control, sex-specific filters were used to adequately take the special structure of X-chromosomal data into account. For single study analyses, several logistic regression models were calculated allowing for inactivation of one female X-chromosome, adjusting for sex and investigating interactions between sex and genetic variants. Then, meta-analyses including all 35 studies were conducted using random effects models. None of the investigated models revealed genome-wide significant associations for any variant. Although we analyzed the largest-to-date sample, currently available methods were not able to detect any associations of X-chromosomal variants with CAD.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Loley C,Alver M,Assimes TL,Bjonnes A,Goel A,Gustafsson S,Hernesniemi J,Hopewell JC,Kanoni S,Kleber ME,Lau KW,Lu Y,Lyytikäinen LP,Nelson CP,Nikpay M,Qu L,Salfati E,Scholz M,Tukiainen T,Willenborg C,Won HH,Zeng Ldoi
10.1038/srep35278subject
Has Abstractpub_date
2016-10-12 00:00:00pages
35278issn
2045-2322pii
srep35278journal_volume
6pub_type
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