ArticlePLoS genetics2011
Gene-based tests of association.
Article in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 11 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
67 citing papers in PubMed, 11 syntheses or guidelines pooled it.
- Cross-phenotype association analysis of gastric cancer: in-silico functional annotation based on the disease-gene network.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023Pooled it
- Systematic review of gastric cancer-associated genetic variants, gene-based meta-analysis, and gene-level functional analysis to identify candidate genes for drug development.Frontiers in genetics · 2022Pooled it
- A systems biology approach uncovers cell-specific gene regulatory effects of genetic associations in multiple sclerosis.Nature communications · 2019Pooled it
- PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity.Nature communications · 2018Pooled it
- ExomeChip-Wide Analysis of 95 626 Individuals Identifies 10 Novel Loci Associated With QT and JT Intervals.Circulation. Genomic and precision medicine · 2018Pooled it
- Discovery and fine-mapping of loci associated with MUFAs through trans-ethnic meta-analysis in Chinese and European populations.Journal of lipid research · 2017Pooled it
- Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined-samples mega-analysis.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017Pooled it
- Gene-based meta-analysis of genome-wide association studies implicates new loci involved in obesity.Human molecular genetics · 2015Pooled it
- Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases.Nature medicine · 2015Pooled it
- Comprehensive gene- and pathway-based analysis of depressive symptoms in older adults.Journal of Alzheimer's disease : JAD · 2015Pooled it
- Genome-wide meta-analysis of systolic blood pressure in children with sickle cell disease.PloS one · 2013Pooled it
- Genetic contributions to lupus nephritis in a multi-ethnic cohort of systemic lupus erythematous patients.PloS one · 2018Trial
- Research on multi-trait genome association study method based on Shannon information entropy.BMC bioinformatics · 2026Article
- Combining xQTL and genome-wide association studies from diverse populations improves druggable gene discovery.Nature communications · 2026Article
- Prioritization of causal genes from genome-wide association studies by Bayesian data integration across loci.PLoS computational biology · 2025Article
- Meta-analysis of set-based multiple phenotype association test based on GWAS summary statistics from different cohorts.Frontiers in genetics · 2024Article
- Priors, population sizes, and power in genome-wide hypothesis tests.BMC bioinformatics · 2023Article
- Hierarchical association of COPD to principal genetic components of biological systems.PloS one · 2023Article
- Genome-wide association studies using multi-models and multi-SNP datasets provide new insights into pasmo resistance in flax.Frontiers in plant science · 2023Article
- Genome interpretation using in silico predictors of variant impact.Human genetics · 2022Review
7 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
5 authors.
Funding
Abstract
Genome-wide association studies (GWAS) are now used routinely to identify SNPs associated with complex human phenotypes. In several cases, multiple variants within a gene contribute independently to disease risk. Here we introduce a novel Gene-Wide Significance (GWiS) test that uses greedy Bayesian model selection to identify the independent effects within a gene, which are combined to generate a stronger statistical signal. Permutation tests provide p-values that correct for the number of independent tests genome-wide and within each genetic locus. When applied to a dataset comprising 2.5 million SNPs in up to 8,000 individuals measured for various electrocardiography (ECG) parameters, this method identifies more validated associations than conventional GWAS approaches. The method also provides, for the first time, systematic assessments of the number of independent effects within a gene and the fraction of disease-associated genes housing multiple independent effects, observed at 35%-50% of loci in our study. This method can be generalized to other study designs, retains power for low-frequency alleles, and provides gene-based p-values that are directly compatible for pathway-based meta-analysis.
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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.