ArticleBiostatistics (Oxford, England)2014
Fisher's method of combining dependent statistics using generalizations of the gamma distribution with applications to genetic pleiotropic associations.
Article in Biostatistics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- A unified combination framework for dependent tests with applications to microbiome association studies.Biometrics · 2025Article
- Meta-analysis of set-based multiple phenotype association test based on GWAS summary statistics from different cohorts.Frontiers in genetics · 2024Article
- Pleiotropic genetic association analysis with multiple phenotypes using multivariate response best-subset selection.BMC genomics · 2023Article
- Summary statistics-based association test for identifying the pleiotropic effects with set of genetic variants.Bioinformatics (Oxford, England) · 2023Article
- Evaluating statistical significance in aComputational and structural biotechnology journal · 2022Article
- METACLUSTER-an R package for context-specific expression analysis of metabolic gene clusters.Bioinformatics (Oxford, England) · 2019Article
- rPCMP: robust p-value combination by multiple partitions with applications to ATAC-seq data.BMC systems biology · 2018Article
- Multiple phenotype association tests using summary statistics in genome-wide association studies.Biometrics · 2018Article
- GATE: an efficient procedure in study of pleiotropic genetic associations.BMC genomics · 2017Article
- Discovery of new candidate genes for rheumatoid arthritis through integration of genetic association data with expression pathway analysis.Arthritis research & therapy · 2017Article
- Group-combined P-values with applications to genetic association studies.Bioinformatics (Oxford, England) · 2016Article
- An Analytic Solution to the Computation of Power and Sample Size for Genetic Association Studies under a Pleiotropic Mode of Inheritance.Human heredity · 2016Article
- Genetic evidence for common pathways in human age-related diseases.Aging cell · 2015Article
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4 authors.
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Abstract
A classical approach to combine independent test statistics is Fisher's combination of $p$-values, which follows the $\chi ^2$ distribution. When the test statistics are dependent, the gamma distribution (GD) is commonly used for the Fisher's combination test (FCT). We propose to use two generalizations of the GD: the generalized and the exponentiated GDs. We study some properties of mis-using the GD for the FCT to combine dependent statistics when one of the two proposed distributions are true. Our results show that both generalizations have better control of type I error rates than the GD, which tends to have inflated type I error rates at more extreme tails. In practice, common model selection criteria (e.g. Akaike information criterion/Bayesian information criterion) can be used to help select a better distribution to use for the FCT. A simple strategy of the two generalizations of the GD in genome-wide association studies is discussed. Applications of the results to genetic pleiotrophic associations are described, where multiple traits are tested for association with a single marker.
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