ArticleNature communications2019
Stochastic search and joint fine-mapping increases accuracy and identifies previously unreported associations in immune-mediated diseases.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 32 citations in OpenAlex.
- Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model.Nature genetics · 2026Article
- High-definition likelihood inference of genetic colocalization reveals protein biomarkers for human complex diseases.GigaScience · 2026Article
- Multidimensional mapping of stimulation-responsive regulatory elements and candidate causal variants in T cell activation.Science advances · 2026Article
- Towards improved fine-mapping of candidate causal variants.Nature reviews. Genetics · 2025Review
- BTS: a scalable Bayesian Tissue Score for prioritizing GWAS variants and their functional contexts across >1000s of omics datasets.Bioinformatics (Oxford, England) · 2025Article
- Discovery of new myositis genetic associations through leveraging other immune-mediated diseases.HGG advances · 2024Article
- Intergenic risk variant rs56258221 skews the fate of naive CD4Cell reports. Medicine · 2024Article
- Statistical methods for cis-Mendelian randomization with two-sample summary-level data.Genetic epidemiology · 2023Review
- Combining evidence from Mendelian randomization and colocalization: Review and comparison of approaches.American journal of human genetics · 2022Review
- Genetic associations at regulatory phenotypes improve fine-mapping of causal variants for 12 immune-mediated diseases.Nature genetics · 2022Article
- Methods for statistical fine-mapping and their applications to auto-immune diseases.Seminars in immunopathology · 2022Review
- The flashfm approach for fine-mapping multiple quantitative traits.Nature communications · 2021Article
- Bayesian variable selection with a pleiotropic loss function in Mendelian randomization.Statistics in medicine · 2021Article
- Identifying causal variants by fine mapping across multiple studies.PLoS genetics · 2021Article
- A more accurate method for colocalisation analysis allowing for multiple causal variants.PLoS genetics · 2021Article
- Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes.Nature genetics · 2021Article
- GWAS for autoimmune Addison's disease identifies multiple risk loci and highlights AIRE in disease susceptibility.Nature communications · 2021Article
- The Genetic Control of the Rheumatic Heart: Closing the Genotype-Phenotype Gap.Frontiers in medicine · 2021Review
- Fine-mapping genetic associations.Human molecular genetics · 2020Review
- Localizing Components of Shared Transethnic Genetic Architecture of Complex Traits from GWAS Summary Data.American journal of human genetics · 2020Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Thousands of genetic variants are associated with human disease risk, but linkage disequilibrium (LD) hinders fine-mapping the causal variants. Both lack of power, and joint tagging of two or more distinct causal variants by a single non-causal SNP, lead to inaccuracies in fine-mapping, with stochastic search more robust than stepwise. We develop a computationally efficient multinomial fine-mapping (MFM) approach that borrows information between diseases in a Bayesian framework. We show that MFM has greater accuracy than single disease analysis when shared causal variants exist, and negligible loss of precision otherwise. MFM analysis of six immune-mediated diseases reveals causal variants undetected in individual disease analysis, including in IL2RA where we confirm functional effects of multiple causal variants using allele-specific expression in sorted CD4
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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.