ArticleHuman molecular genetics2016
A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping.
Article in Human molecular genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 9 of them syntheses that pooled it.
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Who cites it
33 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- PASTRY: achieving balanced power for detecting risk and protective minor alleles in meta-analysis of association studies with overlapping subjects.BMC bioinformatics · 2024Pooled it
- Lung function and secondhand smoke exposure among children with cystic fibrosis: A Bayesian meta-analysis.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2023Pooled it
- Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus.Nature communications · 2023Pooled it
- A statistical method for removing unbalanced trials with multiple covariates in meta-analysis.PloS one · 2023Pooled it
- Multi-ancestry eQTL meta-analysis of human brain identifies candidate causal variants for brain-related traits.Nature genetics · 2022Pooled it
- Meta-analysis of SNP-environment interaction with heterogeneity for overlapping data.Scientific reports · 2021Pooled it
- [Do men and women respond differently to pain therapy with opioids? Results of a meta-analysis].Der Urologe. Ausg. A · 2020Pooled it
- Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood.Nature communications · 2018Pooled it
- Effectively identifying eQTLs from multiple tissues by combining mixed model and meta-analytic approaches.PLoS genetics · 2013Pooled it
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- Fast Probabilistic Whitening Transformation for Ultra-High Dimensional Genetic Data.bioRxiv : the preprint server for biology · 2025Article
- Perioperative Outcomes in Robotic, Laparoscopic, and Open Distal Pancreatectomy: A Network Meta-Analysis and Meta-Regression.Cancers · 2025Article
- Alzheimer's disease transcriptional landscape in ex vivo human microglia.Nature neuroscience · 2025Article
- Matched vs Nonmatched Placebos in a Randomized Trial of COVID-19 Treatments.JAMA network open · 2024Article
- A cross-trait study of lung cancer and its related respiratory diseases based on large-scale exome sequencing population.Translational lung cancer research · 2024Article
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Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Meta-analysis strategies have become critical to augment power of genome-wide association studies (GWAS). To reduce genotyping or sequencing cost, many studies today utilize shared controls, and these individuals can inadvertently overlap among multiple studies. If these overlapping individuals are not taken into account in meta-analysis, they can induce spurious associations. In this article, we propose a general framework for adjusting association statistics to account for overlapping subjects within a meta-analysis. The key idea of our method is to transform the covariance structure of the data, so it can be used in downstream analyses. As a result, the strategy is very flexible and allows a wide range of meta-analysis methods, such as the random effects model, to account for overlapping subjects. Using simulations and real datasets, we demonstrate that our method has utility in meta-analyses of GWAS, as well as in a multi-tissue mouse expression quantitative trait loci (eQTL) study where our method increases the number of discovered eQTL by up to 19% compared with existing methods.
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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.