ArticleScientific reports2021
Powerful p-value combination methods to detect incomplete association.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 11 of them syntheses that pooled it.
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Who cites it
66 citing papers in PubMed, 11 syntheses or guidelines pooled it.
- Identifying novel gene dysregulation associated with opioid overdose death: a meta-analysis of differential gene expression in human prefrontal cortex.Translational psychiatry · 2026Pooled it
- Scalable and accurate rare variant meta-analysis with Meta-SAIGE.Nature genetics · 2025Pooled it
- Optimized summary-statistic-based single-cell eQTL meta-analysis.Scientific reports · 2025Pooled it
- Machine-learning meta-analysis reveals ethylene as a central component of the molecular core in abiotic stress responses in Arabidopsis.Nature communications · 2025Pooled it
- Gene expression differences associated with alcohol use disorder in human brain.Molecular psychiatry · 2025Pooled it
- Linking genomic and proteomic signatures to brain amyloid burden: insights from GR@ACE/DEGESCO.Functional & integrative genomics · 2025Pooled it
- A meta-analysis approach for annotation and identification of lncRNAs controlling perirenal fat deposition in suckling lambs.Animal biotechnology · 2024Pooled it
- Hippocampal transcriptome-wide association study and pathway analysis of mitochondrial solute carriers in Alzheimer's disease.Translational psychiatry · 2024Pooled it
- Transcriptomic meta-analysis characterizes molecular commonalities between psoriasis and obesity.Genes and immunity · 2024Pooled it
- Metabolome panels as potential noninvasive biomarkers for primary glomerulonephritis sub-types: meta-analysis of profiling metabolomics studies.Scientific reports · 2023Pooled it
- Amanida: an R package for meta-analysis of metabolomics non-integral data.Bioinformatics (Oxford, England) · 2022Pooled it
- Exploratory study on blood and urine transcriptomes for identifying miRNA biomarkers in pediatric febrile bacterial and viral infections.Scientific reports · 2026Article
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- Convergent genomic trajectories shape adaptation to life on land across animal lineages.Nature communications · 2026Article
- TP53-META, a meta-analysis tool for comparative transcriptomics of TP53 dependency: examples from target silencing and liver fibrosis.BMC bioinformatics · 2026Article
- AI-derived constrained conditional model for screening marker genes through integrated high-throughput transcriptome big data.BMC medical research methodology · 2026Article
- Cross-platform transcriptomic data integration identifies an overactive neuro-immune signature in human osteoarthritis synovium.Osteoarthritis and cartilage · 2026Article
- NetCrafter: ontology-derived gene network modeling and functional interpretation.Briefings in bioinformatics · 2026Article
- hStouffer: the enhanced meta-analysis method for the comprehensive analysis of large-scale RNA-seq data.BMC bioinformatics · 2026Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Meta-analyses increase statistical power by combining statistics from multiple studies. Meta-analysis methods have mostly been evaluated under the condition that all the data in each study have an association with the given phenotype. However, specific experimental conditions in each study or genetic heterogeneity can result in "unassociated statistics" that are derived from the null distribution. Here, we show that power of conventional meta-analysis methods rapidly decreases as an increasing number of unassociated statistics are included, whereas the classical Fisher's method and its weighted variant (wFisher) exhibit relatively high power that is robust to addition of unassociated statistics. We also propose another robust method based on joint distribution of ordered p-values (ordmeta). Simulation analyses for t-test, RNA-seq, and microarray data demonstrated that wFisher and ordmeta, when only a small number of studies have an association, outperformed existing meta-analysis methods. We performed meta-analyses of nine microarray datasets (prostate cancer) and four association summary datasets (body mass index), where our methods exhibited high biological relevance and were able to detect genes that the-state-of-the-art methods missed. The metapro R package that implements the proposed methods is available from both CRAN and GitHub ( http://github.com/unistbig/metapro ).
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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.