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Updated: Dec 25, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
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HisCoM-PCA: software for hierarchical structural component analysis for pathway analysis based using principal

Nan Jiang1, Sungyoung Lee2, Taesung Park1,3

  • 1Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 08826, Korea.

Genomics & Informatics
|April 1, 2020
PubMed
Summary
This summary is machine-generated.

We developed HisCoM-PCA software for hierarchical pathway analysis of common variants. This tool enhances interpretation of genome-wide association study results by identifying trait-associated pathways.

Keywords:
genome-wide association studyhierarchical structural component modelpathway analysisprincipal component analysis

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Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Genome-wide association studies (GWAS) generate vast amounts of single-nucleotide polymorphism (SNP) data.
  • Interpreting GWAS results often requires pathway-based analysis to identify biological mechanisms.
  • Existing methods may not fully capture the hierarchical structure of biological pathways.

Purpose of the Study:

  • To introduce HisCoM-PCA software, a novel tool for hierarchical pathway analysis of common variants.
  • To facilitate the identification of biological pathways associated with specific traits using GWAS data.
  • To provide a flexible and powerful platform for pathway analysis.

Main Methods:

  • HisCoM-PCA utilizes a hierarchical structural component model (HisCoM) combined with principal component analysis (PCA).
  • PCA is employed for dimensionality reduction of SNPs within each gene.
  • The software supports various PCA threshold criteria and integrates multiple public and custom pathway databases.

Main Results:

  • The developed HisCoM-PCA software offers a robust framework for hierarchical pathway analysis.
  • Users can customize SNP summarization and pathway data for tailored analyses.
  • The software is designed to enhance the power of pathway analysis in genetic studies.

Conclusions:

  • HisCoM-PCA software provides an advanced approach for interpreting GWAS findings.
  • It enables researchers to effectively identify trait-associated pathways through hierarchical analysis.
  • The software is expected to be a valuable resource for geneticists and bioinformaticians.