ArticleAmerican journal of human genetics2022
Shared components of heritability across genetically correlated traits.
Article in American journal of human genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 22 citations in OpenAlex.
- Convex approaches to isolate the shared and distinct genetic components of complex traits.Bioinformatics (Oxford, England) · 2026Article
- Genetic factor analysis for characterizing phenome-wide patterns of genetic pleiotropy.Nature genetics · 2026Article
- Mendelianization: Concentrating Polygenic Signal Into a Single Causal Locus.Genetic epidemiology · 2026Article
- Pleiotropic shared heritability quantifies the shared genetic variance of common diseases.Nature genetics · 2026Article
- Mapping disease loci to biological processes via joint pleiotropic and epigenomic partitioning.Cell genomics · 2026Article
- Dissecting pleiotropy to gain mechanistic insights into human disease.Nature reviews. Genetics · 2026Review
- Article
- Sparse matrix factorization robust to sample sharing across GWASs reveals interpretable genetic components.American journal of human genetics · 2025Article
- Bayesian inference of genetic pleiotropy identifies drug targets and repurposable medicines for human complex diseases.medRxiv : the preprint server for health sciences · 2025Article
- Mapping disease loci to biological processes via joint pleiotropic and epigenomic partitioning.medRxiv : the preprint server for health sciences · 2025Article
- Identifying chronic obstructive pulmonary disease subtypes using multi-trait genetics.EBioMedicine · 2025Article
- Leveraging pleiotropy for the improved treatment of psychiatric disorders.Molecular psychiatry · 2025Review
- The goldmine of GWAS summary statistics: a systematic review of methods and tools.BioData mining · 2024Article
- Genome-wide large-scale multi-trait analysis characterizes global patterns of pleiotropy and unique trait-specific variants.Nature communications · 2024Article
- A scalable approach to characterize pleiotropy across thousands of human diseases and complex traits using GWAS summary statistics.American journal of human genetics · 2023Article
- Factorizing polygenic epistasis improves prediction and uncovers biological pathways in complex traits.American journal of human genetics · 2023Article
- Revealing polygenic pleiotropy using genetic risk scores for asthma.HGG advances · 2023Article
- A scalable variational approach to characterize pleiotropic components across thousands of human diseases and complex traits using GWAS summary statistics.medRxiv : the preprint server for health sciences · 2023Article
- Challenges and Opportunities for Developing More Generalizable Polygenic Risk Scores.Annual review of biomedical data science · 2022Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Most disease-associated genetic variants are pleiotropic, affecting multiple genetically correlated traits. Their pleiotropic associations can be mechanistically informative: if many variants have similar patterns of association, they may act via similar pleiotropic mechanisms, forming a shared component of heritability. We developed pleiotropic decomposition regression (PDR) to identify shared components and their underlying genetic variants. We validated PDR on simulated data and identified limitations of existing methods in recovering the true components. We applied PDR to three clusters of five to six traits genetically correlated with coronary artery disease (CAD), asthma, and type II diabetes (T2D), producing biologically interpretable components. For CAD, PDR identified components related to BMI, hypertension, and cholesterol, and it clarified the relationship among these highly correlated risk factors. We assigned variants to components, calculated their posterior-mean effect sizes, and performed out-of-sample validation. Our posterior-mean effect sizes pool statistical power across traits and substantially boost the correlation (r
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.