ArticleNature genetics2024
MESuSiE enables scalable and powerful multi-ancestry fine-mapping of causal variants in genome-wide association studies.
Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 6 of them syntheses that pooled it.
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Who cites it
43 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Multi-ancestry genetic architecture of heart failure subtypes.Nature communications · 2026Pooled it
- Multiancestry and Multitrait GWAS Meta-Analysis on Schizophrenia With a Sample of 322,321 Unveils Genetic Links to Chronic Lung Diseases.Genes, brain, and behavior · 2026Pooled it
- Trans-ancestry GWAS identifies 59 loci and improves risk prediction and fine-mapping for kidney stone disease.Nature communications · 2025Pooled it
- Cross-ancestry genome-wide association study and systems-level integrative analyses implicate new risk genes and therapeutic targets for depression.Nature human behaviour · 2025Pooled it
- Cross-ancestry genome-wide association study identifies new susceptibility genes for preeclampsia.BMC pregnancy and childbirth · 2025Pooled it
- Gene-level analysis reveals the genetic aetiology and therapeutic targets of schizophrenia.Nature human behaviour · 2025Pooled it
- Large-scale admixture mapping in the All of Us Research Program improves the characterization of cross-population phenotypic differences.Nature communications · 2026Article
- PMBB Geno-Pheno Toolkit: A suite of scalable, reproducible pipelines for cross-biobank association analyses.bioRxiv : the preprint server for biology · 2026Article
- Cross-ancestry pleiotropic analysis of imaging-derived phenotypes enhances risk stratification of depression.Molecular psychiatry · 2026Article
- Cross-ancestry genetic architecture reveals shared biological pathways of major psychiatric disorders.Molecular psychiatry · 2026Article
- Multi-ancestry colocalization approaches.PLoS genetics · 2026Article
- Integrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression.Biological psychiatry · 2026Article
- Ancestral diversity in complex disease genetics: from discovery to translation.Nature reviews. Genetics · 2026Review
- Novel Genetic Risk Loci for Pancreatic Ductal Adenocarcinoma Identified in a Genome-wide Study of African Ancestry Individuals.medRxiv : the preprint server for health sciences · 2026Article
- A reference panel for linkage disequilibrium and genotype imputation using whole-genome sequencing data from 2,680 participants across India.HGG advances · 2026Article
- Decoding Complex Traits in Goats Through Genome-Wide Association Studies: Progress, Challenges, and Perspectives.International journal of molecular sciences · 2026Review
- Article
- A Common Missense Variant, W335S, in β2-Glycoprotein I (APOH) is Associated with Increased Autoantibody Levels but Reduced Venous Thromboembolism Risk.medRxiv : the preprint server for health sciences · 2026Article
- An integrative association analysis for complex diseases in underrepresented groups by leveraging the trans-ethnic genetic similarity.Briefings in bioinformatics · 2026Article
- Article
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Abstract
Fine-mapping in genome-wide association studies attempts to identify causal SNPs from a set of candidate SNPs in a local genomic region of interest and is commonly performed in one genetic ancestry at a time. Here, we present multi-ancestry sum of the single effects model (MESuSiE), a probabilistic multi-ancestry fine-mapping method, to improve the accuracy and resolution of fine-mapping by leveraging association information across ancestries. MESuSiE uses summary statistics as input, accounts for the diverse linkage disequilibrium pattern observed in different ancestries, explicitly models both shared and ancestry-specific causal SNPs, and relies on a variational inference algorithm for scalable computation. We evaluated the performance of MESuSiE through comprehensive simulations and multi-ancestry fine-mapping of four lipid traits with both European and African samples. In the real data, MESuSiE improves fine-mapping resolution by 19.0% to 72.0% compared to existing approaches, is an order of magnitude faster, and captures and categorizes shared and ancestry-specific causal signals with enhanced functional enrichment.
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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 Socratic graph.