Integrated analysis of variants and pathways in genome-wide association studies using polygenic models of disease
Peter Carbonetto, Matthew Stephens

TL;DR
This paper introduces a sparse regression method that identifies disease-associated pathways and variants in GWAS data, improving detection of small-effect genetic factors in complex diseases like Crohn's disease.
Contribution
The study presents a novel integrated approach combining pathway enrichment estimation with variant prioritization using sparse regression, enhancing GWAS analysis accuracy.
Findings
Enrichment of cytokine signaling pathways in Crohn's disease
Prioritized variants align with previously reported disease associations
Method improves detection of small-effect genetic variants
Abstract
Many common diseases are highly polygenic, modulated by a large number genetic factors with small effects on susceptibility to disease. These small effects are difficult to map reliably in genetic association studies. To address this problem, researchers have developed methods that aggregate information over sets of related genes, such as biological pathways, to identify gene sets that are enriched for genetic variants associated with disease. However, these methods fail to answer a key question: which genes and genetic variants are associated with disease risk? We develop a method based on sparse multiple regression that simultaneously identifies enriched pathways, and prioritizes the variants within these pathways, to locate additional variants associated with disease susceptibility. A central feature of our approach is an estimate of the strength of enrichment, which yields a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInflammatory Bowel Disease · Genetic Associations and Epidemiology · IL-33, ST2, and ILC Pathways
