ArticleAmerican journal of human genetics2021
Integrative multiomics analysis highlights immune-cell regulatory mechanisms and shared genetic architecture for 14 immune-associated diseases and cancer outcomes.
Article in American journal of human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Shared genetic architecture and pathways linking major depressive disorder and autoimmune thyroid disease: insights from common and rare variants.Translational psychiatry · 2026Article
- [Mendelian Randomization Analysis of Potential Molecular Targets for Type 2 Airway Inflammatory Diseases].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026Article
- Integrating Single-Cell Transcriptome-Wide Mendelian Randomization and Differentially Expressed Gene Analyses to Prioritize Dynamic Immune-Related Drug Targets for Cancers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- SUMMER: A Practical Tool for Identifying Factors and Biomarkers Associated with Pan-cancer Survival.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Time-varying and tissue-dependent effects of adiposity on leptin levels: A Mendelian randomization study.eLife · 2023Article
- Accurate detection of shared genetic architecture from GWAS summary statistics in the small-sample context.PLoS genetics · 2023Article
- SUMMER: a Mendelian randomization interactive server to systematically evaluate the causal effects of risk factors and circulating biomarkers on pan-cancer survival.Nucleic acids research · 2023Article
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Authors and funding
3 authors.
Funding
Abstract
Developing functional insight into the causal molecular drivers of immunological disease is a critical challenge in genomic medicine. Here, we systematically apply Mendelian randomization (MR), genetic colocalization, immune-cell-type enrichment, and phenome-wide association methods to investigate the effects of genetically predicted gene expression on ten immune-associated diseases and four cancer outcomes. Using whole blood-derived estimates for regulatory variants from the eQTLGen consortium (n = 31,684), we constructed genetic risk scores for 10,104 genes. Applying the inverse-variance-weighted MR method transcriptome wide while accounting for linkage disequilibrium structure identified 664 unique genes with evidence of a genetically predicted effect on at least one disease outcome (p < 4.81 × 10
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