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SNP-SNP Interactions Discovered by Logic Regression Explain Crohns Disease Genetics

机译:通过逻辑回归发现sNp-sNp相互作用解释克罗恩病遗传学

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摘要

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: .
机译:在全基因组关联研究(GWAS)中,对每个单核苷酸多态性(SNP)与表型之间的关联进行统计评估。为了进一步探索GWAS中的遗传关联,我们考虑了生物学上似乎合理的SNP-SNP相互作用的两种特定形式,即“ SNP交集”和“ SNP并集”,并分析了Wellcome Trust病例对照协会的克罗恩病(CD)GWAS数据。使用有限形式的逻辑回归进行交互。我们找到了195个基因的CD关联的有力证据,它们鉴定了新的易感基因(例如ISX,SLCO6A1,TMEM183A),并确认了CD GWAS中许多先前鉴定的易感基因(例如IL23R,NOD2,CYLD,NKX2-3, IL12RB2,ATG16L1)。值得注意的是,通过CD GWAS的荟萃分析表明59个染色体位置中有37个涉及CD GWAS,涉及22,000例病例和29,000个对照,它们代表了195个基因,以及一些以前仅在连锁研究中表明的染色体位置,但在GWAS中却没有。我们使用来自基因型和表型数据库(dbGaP)的两个较小的GWAS重复了分析:尽管三个数据集的种群和研究能力存在差异,但我们仍观察到三个数据集的一致性。值得注意的例子包括TMEM183A和SLCO6A1,它们在我们的WTCCC中以及dbGaP SNP-SNP相互作用分析中均始终显示出有力的证据。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。可从我们的网站下载R代码,数据示例和自述文件:。

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