School of Public Health, University of Alberta, Edmonton, Alberta, Canada.
PLoS One. 2012;7(10):e43035. doi: 10.1371/journal.pone.0043035. Epub 2012 Oct 12.
In genome-wide association studies (GWAS), the association between each single nucleotide polymorphism (SNP) and a phenotype is assessed statistically. To further explore genetic associations in GWAS, we considered two specific forms of biologically plausible SNP-SNP interactions, 'SNP intersection' and 'SNP union,' and analyzed the Crohn's Disease (CD) GWAS data of the Wellcome Trust Case Control Consortium for these interactions using a limited form of logic regression. We found strong evidence of CD-association for 195 genes, identifying novel susceptibility genes (e.g., ISX, SLCO6A1, TMEM183A) as well as confirming many previously identified susceptibility genes in CD GWAS (e.g., IL23R, NOD2, CYLD, NKX2-3, IL12RB2, ATG16L1). Notably, 37 of the 59 chromosomal locations indicated for CD-association by a meta-analysis of CD GWAS, involving over 22,000 cases and 29,000 controls, were represented in the 195 genes, as well as some chromosomal locations previously indicated only in linkage studies, but not in GWAS. We repeated the analysis with two smaller GWASs from the Database of Genotype and Phenotype (dbGaP): in spite of differences of populations and study power across the three datasets, we observed some consistencies across the three datasets. Notable examples included TMEM183A and SLCO6A1 which exhibited strong evidence consistently in our WTCCC and both of the dbGaP SNP-SNP interaction analyses. Examining these specific forms of SNP interactions could identify additional genetic associations from GWAS. R codes, data examples, and a ReadMe file are available for download from our website: http://www.ualberta.ca/~yyasui/homepage.html.
在全基因组关联研究(GWAS)中,通过统计学方法评估每个单核苷酸多态性(SNP)与表型之间的关联。为了进一步探索 GWAS 中的遗传关联,我们考虑了两种特定形式的生物学上合理的 SNP-SNP 相互作用,即“SNP 交集”和“SNP 并集”,并使用逻辑回归的有限形式分析了 Wellcome Trust 案例控制联合体的克罗恩病(CD)GWAS 数据对这些相互作用的影响。我们发现 195 个基因与 CD 显著相关,确定了新的易感基因(如 ISX、SLCO6A1、TMEM183A),并确认了 CD GWAS 中许多先前确定的易感基因(如 IL23R、NOD2、CYLD、NKX2-3、IL12RB2、ATG16L1)。值得注意的是,通过对 CD GWAS 的荟萃分析指示的与 CD 相关的 59 个染色体位置中的 37 个,涉及超过 22000 例病例和 29000 例对照,在 195 个基因中均有代表,以及一些先前仅在连锁研究中指示的染色体位置,但不在 GWAS 中。我们使用数据库中的两个较小的 GWAS(dbGaP)重复了该分析:尽管三个数据集的人群和研究能力存在差异,但我们观察到三个数据集之间存在一些一致性。值得注意的例子包括 TMEM183A 和 SLCO6A1,它们在我们的 WTCCC 和两个 dbGaP SNP-SNP 相互作用分析中均表现出强烈的证据。检查这些特定形式的 SNP 相互作用可以从 GWAS 中识别出其他遗传关联。R 代码、数据示例和 ReadMe 文件可从我们的网站下载:http://www.ualberta.ca/~yyasui/homepage.html。