rs11219937 - CNTN5

Magnitude 2.0 · 1 study on file

Reported associations

• Integrative Pathway Analysis of SNP and Metabolite Data Using a Hierarchical Structural Component Model - Frontiers in genetics (2022) · Jung T, Jung Y, Moon MK, Kwon O, Hwang GS, Park T · PubMed 35401680

  ABSTRACT: Integrative multi-omics analysis has become a useful tool to understand molecular mechanisms and drug discovery for treatment. Especially, the couplings of genetics to metabolomics have been performed to identify the associations between SNP and metabolite. However, while the importance of integrative pathway analysis is increasing, there are few approaches to utilize pathway information to analyze phenotypes using SNP and metabolite. We propose an integrative pathway analysis of SNP and metabolite data using a hierarchical structural component model considering the structural relationships of SNPs, metabolites, pathways, and phenotypes. The proposed method utilizes genome-wide association studies on metabolites and constructs the genetic risk scores for metabolites referred to a

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