ArticleNature communications2021
Model-based assessment of replicability for genome-wide association meta-analysis.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Genome-wide association study of susceptibility to acute respiratory distress syndrome.EBioMedicine · 2025Pooled it
- Pooled it
- Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus.Nature communications · 2023Pooled it
- Probing the genomic landscape of human sexuality: a critical systematic review of the literature.Frontiers in genetics · 2023Pooled it
- Detailed stratified GWAS analysis for severe COVID-19 in four European populations.Human molecular genetics · 2022Pooled it
- Pooled it
- Formal Statistical Replication Analysis in Lung Cancer Genome-Wide Association Studies.medRxiv : the preprint server for health sciences · 2025Article
- Sex-specific genetic effects on susceptibility to idiopathic pulmonary fibrosis.ERJ open research · 2025Article
- Combined genome-wide association study of facial traits in Europeans increases explained variance and improves prediction.Nature communications · 2025Article
- A scoping review on metrics to quantify reproducibility: a multitude of questions leads to a multitude of metrics.Royal Society open science · 2025Review
- Article
- Identification of TACSTD2 as novel therapeutic targets for cisplatin-induced acute kidney injury by multi-omics data integration.Human genetics · 2024Article
- Exploring the Genetic Roles of Diet and Other Modifiable Risk Factors in the Risk of Angina: A Causal Investigation Using Mendelian Randomization in UK Biobank and FinnGen Cohorts.Life (Basel, Switzerland) · 2024Article
- A powerful approach to identify replicable variants in genome-wide association studies.American journal of human genetics · 2024Article
- Genome-wide SNP-sex interaction analysis of susceptibility to idiopathic pulmonary fibrosis.medRxiv : the preprint server for health sciences · 2024Article
- Association study of human leukocyte antigen variants and idiopathic pulmonary fibrosis.ERJ open research · 2024Article
- Local and Bayesian Survival FDR Estimations to Identify Reliable Associations in Whole Genome of Bread Wheat.International journal of molecular sciences · 2023Article
- Genetically Predicted Serum Vitamin C Levels and Cutaneous Squamous Cell Carcinoma Risk.The Journal of investigative dermatology · 2023Article
- Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing.Nature genetics · 2023Article
- 10 Years of GWAS in intraocular pressure.Frontiers in genetics · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Genome-wide association meta-analysis (GWAMA) is an effective approach to enlarge sample sizes and empower the discovery of novel associations between genotype and phenotype. Independent replication has been used as a gold-standard for validating genetic associations. However, as current GWAMA often seeks to aggregate all available datasets, it becomes impossible to find a large enough independent dataset to replicate new discoveries. Here we introduce a method, MAMBA (Meta-Analysis Model-based Assessment of replicability), for assessing the "posterior-probability-of-replicability" for identified associations by leveraging the strength and consistency of association signals between contributing studies. We demonstrate using simulations that MAMBA is more powerful and robust than existing methods, and produces more accurate genetic effects estimates. We apply MAMBA to a large-scale meta-analysis of addiction phenotypes with 1.2 million individuals. In addition to accurately identifying replicable common variant associations, MAMBA also pinpoints novel replicable rare variant associations from imputation-based GWAMA and hence greatly expands the set of analyzable variants.
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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.