SynthesisAmerican journal of human genetics2012
A subset-based approach improves power and interpretation for the combined analysis of genetic association studies of heterogeneous traits.
Synthesis in American journal of human genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 173 papers, 39 of them syntheses that pooled it.
What it found
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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.
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Who cites it
173 citing papers in PubMed, 39 syntheses or guidelines pooled it.
- Dissecting Schizophrenia Biology Using Pleiotropy With Cognitive Genomics.Biological psychiatry · 2025Pooled it
- Large-scale multi-trait genome-wide analysis for inflammatory bowel disease reveals new insights into its molecular mechanisms and emphasizes the roles of systemic immune regulation.Briefings in bioinformatics · 2025Pooled it
- Cross-Trait Meta-Analysis Reveals a Genetic Link between Inflammation and Aging in Giant Cell Arteritis.Aging and disease · 2025Pooled it
- metaGE: Investigating genotype x environment interactions through GWAS meta-analysis.PLoS genetics · 2025Pooled it
- Subset-based method for cross-tissue transcriptome-wide association studies improves power and interpretability.HGG advances · 2024Pooled 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
- GWAS meta-analysis of over 29,000 people with epilepsy identifies 26 risk loci and subtype-specific genetic architecture.Nature genetics · 2023Pooled it
- Interplay of chronic obstructive pulmonary disease and colorectal cancer development: unravelling the mediating role of fatty acids through a comprehensive multi-omics analysis.Journal of translational medicine · 2023Pooled it
- Pan-cancer and cross-population genome-wide association studies dissect shared genetic backgrounds underlying carcinogenesis.Nature communications · 2023Pooled it
- Genome-wide analysis of genetic pleiotropy and causal genes across three age-related ocular disorders.Human genetics · 2023Pooled it
- Understanding the comorbidity between posttraumatic stress severity and coronary artery disease using genome-wide information and electronic health records.Molecular psychiatry · 2022Pooled it
- Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer.Nature genetics · 2022Pooled it
- Reconstructing SNP allele and genotype frequencies from GWAS summary statistics.Scientific reports · 2022Pooled it
- Robust meta-analysis for large-scale genomic experiments based on an empirical approach.BMC medical research methodology · 2022Pooled it
- Leveraging pleiotropic association using sparse group variable selection in genomics data.BMC medical research methodology · 2022Pooled it
- Causal Association and Shared Genetics Between Asthma and COVID-19.Frontiers in immunology · 2022Pooled it
- Investigating Shared Genetic Basis Across Tourette Syndrome and Comorbid Neurodevelopmental Disorders Along the Impulsivity-Compulsivity Spectrum.Biological psychiatry · 2021Pooled it
- Associations between COVID-19 and skin conditions identified through epidemiology and genomic studies.The Journal of allergy and clinical immunology · 2021Pooled it
- Genome-wide association meta-analysis identifies pleiotropic risk loci for aerodigestive squamous cell cancers.PLoS genetics · 2021Pooled it
- Meta-analysis of SNP-environment interaction with heterogeneity for overlapping data.Scientific reports · 2021Pooled it
113 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
11 authors.
Funding
Abstract
Pooling genome-wide association studies (GWASs) increases power but also poses methodological challenges because studies are often heterogeneous. For example, combining GWASs of related but distinct traits can provide promising directions for the discovery of loci with small but common pleiotropic effects. Classical approaches for meta-analysis or pooled analysis, however, might not be suitable for such analysis because individual variants are likely to be associated with only a subset of the traits or might demonstrate effects in different directions. We propose a method that exhaustively explores subsets of studies for the presence of true association signals that are in either the same direction or possibly opposite directions. An efficient approximation is used for rapid evaluation of p values. We present two illustrative applications, one for a meta-analysis of separate case-control studies of six distinct cancers and another for pooled analysis of a case-control study of glioma, a class of brain tumors that contains heterogeneous subtypes. Both the applications and additional simulation studies demonstrate that the proposed methods offer improved power and more interpretable results when compared to traditional methods for the analysis of heterogeneous traits. The proposed framework has applications beyond genetic association studies.
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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.