Integrative modeling of multiple genomic data from different types of genetic association studies.

摘要: Genome-wide association studies (GWASs) and expression-/methylation-quantitative trait loci (eQTL/mQTL) constitute popular approaches for investigating the of single nucleotide polymorphisms (SNPs) with disease expression/methylation, respectively. Here, we propose to integrate QTL more powerfully test SNP effect on in GWASs when they are conducted among different subjects. We a model joint SNPs, methylation, gene expression risk obtain marginal SNPs by integrating out methylation expression. characterize all possible causal relations study corresponding null hypotheses no terms regression coefficients model. develop score variance components evaluate genetic effect. further an omnibus accommodate models. illustrate utility proposed method asthma GWAS study, brain tumor numerical simulations.