ArticleCell genomics2022
Meta-analysis fine-mapping is often miscalibrated at single-variant resolution.
Article in Cell genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 8 of them syntheses that pooled it.
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Who cites it
74 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- Pooled it
- Genome-wide association analyses of autoimmune hypothyroidism reveal autoimmune and thyroid-specific contributions and an inverse relationship with cancer risk.Nature genetics · 2026Pooled it
- Fine-mapping a genome-wide meta-analysis of 98,374 migraine cases identifies 181 sets of candidate causal variants.Nature communications · 2026Pooled it
- Pan-UK Biobank genome-wide association analyses enhance discovery and resolution of ancestry-enriched effects.Nature genetics · 2025Pooled it
- Liver eQTL meta-analysis illuminates potential molecular mechanisms of cardiometabolic traits.American journal of human genetics · 2024Pooled it
- East Asian-specific and cross-ancestry genome-wide meta-analyses provide mechanistic insights into peptic ulcer disease.Nature genetics · 2023Pooled it
- Global Biobank Meta-analysis Initiative: How can global health benefit by its use?Journal of global health · 2023Pooled it
- CARMA is a new Bayesian model for fine-mapping in genome-wide association meta-analyses.Nature genetics · 2023Pooled it
- Article
- Large-scale GWAS meta-analysis of serum antibody levels in healthy individuals reveals distinct genetic architectures.Genes and immunity · 2026Article
- Large-scale admixture mapping in the All of Us Research Program improves the characterization of cross-population phenotypic differences.Nature communications · 2026Article
- CIT-Lasso: a scalable approach beyond guilty by association for identifying causal variants from genome-wide summary statistics.Genome biology · 2026Article
- Multi-ancestry colocalization approaches.PLoS genetics · 2026Article
- Ultra-fast genetic colocalisation across millions of association signals.PLoS genetics · 2026Article
- Comparative fine-mapping of breast cancer susceptibility loci using summary statistics methods and multinomial regression.medRxiv : the preprint server for health sciences · 2026Article
- Integrating genetic data with biological insight: A practical guide to cis-Mendelian randomization.American journal of human genetics · 2026Review
- Ancestral diversity in complex disease genetics: from discovery to translation.Nature reviews. Genetics · 2026Review
- Genetics of skeletal proportions across two different populations.American journal of human genetics · 2026Article
- Inferring on Joint Associations From Marginal Associations and a Reference Sample.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Dissecting pleiotropy to gain mechanistic insights into human disease.Nature reviews. Genetics · 2026Review
14 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Meta-analysis is pervasively used to combine multiple genome-wide association studies (GWASs). Fine-mapping of meta-analysis studies is typically performed as in a single-cohort study. Here, we first demonstrate that heterogeneity (e.g., of sample size, phenotyping, imputation) hurts calibration of meta-analysis fine-mapping. We propose a summary statistics-based quality-control (QC) method, suspicious loci analysis of meta-analysis summary statistics (SLALOM), that identifies suspicious loci for meta-analysis fine-mapping by detecting outliers in association statistics. We validate SLALOM in simulations and the GWAS Catalog. Applying SLALOM to 14 meta-analyses from the Global Biobank Meta-analysis Initiative (GBMI), we find that 67% of loci show suspicious patterns that call into question fine-mapping accuracy. These predicted suspicious loci are significantly depleted for having nonsynonymous variants as lead variant (2.7×; Fisher's exact p = 7.3 × 10
Identifiers
What OpenQuestion holds
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.