An integrative association method for omics data based on a modified Fisher's method with application to childhood asthma.

ABSTRACT: The development of high-throughput biotechnologies allows the collection of omics data to study the biological mechanisms underlying complex diseases at different levels, such as genomics, epigenomics, and transcriptomics. However, each technology is designed to collect a specific type of omics data. Thus, the association between a disease and one type of omics data is usually tested individually, but this strategy is suboptimal. To better articulate biological processes and increase the consistency of variant identification, omics data from various platforms need to be integrated. In this report, we introduce an approach that uses a modified Fisher's method (denoted as Omnibus-Fisher) to combine separate p-values of association testing for a trait and SNPs, DNA methylation markers, and RN

SUBMITTER: Yan Q 

PROVIDER: S-EPMC6524814 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature