ArticlePloS one2018
Statistical power and utility of meta-analysis methods for cross-phenotype genome-wide association studies.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 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
33 citing papers in PubMed, 4 syntheses or guidelines pooled it, 52 citations in OpenAlex.
- Genome-wide meta-analyses of cross substance use disorders in diverse populations.Molecular psychiatry · 2026Pooled it
- Investigating the shared genetic architecture of uterine leiomyoma and breast cancer: A genome-wide cross-trait analysis.American journal of human genetics · 2022Pooled it
- Pleiotropic Meta-Analysis of Cognition, Education, and Schizophrenia Differentiates Roles of Early Neurodevelopmental and Adult Synaptic Pathways.American journal of human genetics · 2019Pooled it
- Shared genetic architecture between metabolic traits and Alzheimer's disease: a large-scale genome-wide cross-trait analysis.Human genetics · 2019Pooled it
- FCGR2A promoter variant reveals shared genetic susceptibility between IBD and stroke.Molecular and cellular biochemistry · 2026Article
- VN1K is a pangenome-informed multi-omics and phenomics resource for the Vietnamese population.Nature communications · 2026Article
- In-silico identification of genetic variants associated with chronic lymphocytic leukemia for diagnostic and therapeutic applications.Scientific reports · 2026Article
- Elucidating the susceptibility genes between insomnia and migraine by integrating genetic data and transcriptomes.The journal of headache and pain · 2026Article
- Multi-trait analysis of pigmentation traits in relation to skin and ocular cancers: Relevance for evolutionary medicine.Evolution, medicine, and public health · 2026Article
- Integrative analysis of gut microbiota, plasma metabolome, and gene expression identifies causal mediators in Graves' disease pathogenesis.Frontiers in microbiology · 2026Article
- Gut Microbiota Influences Meningioma Pathogenesis via Circulating Metabolites: A Two-Sample Mendelian Randomization Study.Brain and behavior · 2025Article
- Multi-trait genetic analysis of asthma and eosinophils uncovers pleiotropic loci in East Asians.Nature communications · 2025Article
- Systematic dissection of pleiotropic loci and critical regulons in excitatory neurons and microglia relevant to neuropsychiatric and ocular diseases.Translational psychiatry · 2025Article
- Genetic Commonalities Between Metabolic Syndrome and Rheumatic Diseases Through Disease Interactome Modules.Journal of cellular and molecular medicine · 2025Article
- A multi-level investigation of the genetic relationship between gastroesophageal reflux disease and lung cancer.Translational lung cancer research · 2024Article
- Unraveling the immunogenetic landscape of autism spectrum disorder: a comprehensive bioinformatics approach.Frontiers in immunology · 2024Article
- Disentangling the complexity of psoriasis in the post-genome-wide association era.Genes and immunity · 2023Review
- Article
- mGWAS-Explorer: Linking SNPs, Genes, Metabolites, and Diseases for Functional Insights.Metabolites · 2022Article
- Sleep and Late-Onset Alzheimer's Disease: Shared Genetic Risk Factors, Drug Targets, Molecular Mechanisms, and Causal Effects.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Advances in recent genome wide association studies (GWAS) suggest that pleiotropic effects on human complex traits are widespread. A number of classic and recent meta-analysis methods have been used to identify genetic loci with pleiotropic effects, but the overall performance of these methods is not well understood. In this work, we use extensive simulations and case studies of GWAS datasets to investigate the power and type-I error rates of ten meta-analysis methods. We specifically focus on three conditions commonly encountered in the studies of multiple traits: (1) extensive heterogeneity of genetic effects; (2) characterization of trait-specific association; and (3) inflated correlation of GWAS due to overlapping samples. Although the statistical power is highly variable under distinct study conditions, we found the superior power of several methods under diverse heterogeneity. In particular, classic fixed-effects model showed surprisingly good performance when a variant is associated with more than a half of study traits. As the number of traits with null effects increases, ASSET performed the best along with competitive specificity and sensitivity. With opposite directional effects, CPASSOC featured the first-rate power. However, caution is advised when using CPASSOC for studying genetically correlated traits with overlapping samples. We conclude with a discussion of unresolved issues and directions for future research.
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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.