ArticleJournal of the American Statistical Association2017
The Generalized Higher Criticism for Testing SNP-Set Effects in Genetic Association Studies.
Article in Journal of the American Statistical Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
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- Clade distillation for genome-wide association studies.Genetics · 2026Article
- A Bayesian Model for Paired Data in Genome-Wide Association Studies with Application to Breast Cancer.Entropy (Basel, Switzerland) · 2025Article
- Rare-variant association studies: When are aggregation tests more powerful than single-variant tests?American journal of human genetics · 2025Article
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- A multi-trait epigenome-wide association study identified DNA methylation signature of inflammation among men with HIV.Clinical epigenetics · 2024Article
- Seeing more than the Tip of the Iceberg: Approaches to Subthreshold Effects in Functional Magnetic Resonance Imaging of the Brain.Clinical neuroradiology · 2024Review
- A high-dimensional omnibus test for set-based association analysis.Briefings in bioinformatics · 2024Article
- A multi-trait epigenome-wide association study identified DNA methylation signature of inflammation among people with HIV.Research square · 2024Article
- Identifying pleiotropic genes via the composite test amidst the complexity of polygenic traits.Briefings in bioinformatics · 2024Article
- Ensemble methods for testing a global null.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2024Article
- Review
- Subset scanning for multi-trait analysis using GWAS summary statistics.Bioinformatics (Oxford, England) · 2024Article
- Accurate and Ultra-EfficientJournal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2024Article
- Differences in set-based tests for sparse alternatives when testing sets of outcomes compared to sets of explanatory factors in genetic association studies.Biostatistics (Oxford, England) · 2023Article
- Cauchy combination methods for the detection of gene-environment interactions for rare variants related to quantitative phenotypes.Heredity · 2023Article
- Genome-wide multimediator analyses using the generalized Berk-Jones statistics with the composite test.Bioinformatics (Oxford, England) · 2023Article
- An adaptive test based on principal components for detecting multiple phenotype associations using GWAS summary data.Genetica · 2023Article
Corrections and comments
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Authors and funding
3 authors.
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Abstract
It is of substantial interest to study the effects of genes, genetic pathways, and networks on the risk of complex diseases. These genetic constructs each contain multiple SNPs, which are often correlated and function jointly, and might be large in number. However, only a sparse subset of SNPs in a genetic construct is generally associated with the disease of interest. In this article, we propose the generalized higher criticism (GHC) to test for the association between an SNP set and a disease outcome. The higher criticism is a test traditionally used in high-dimensional signal detection settings when marginal test statistics are independent and the number of parameters is very large. However, these assumptions do not always hold in genetic association studies, due to linkage disequilibrium among SNPs and the finite number of SNPs in an SNP set in each genetic construct. The proposed GHC overcomes the limitations of the higher criticism by allowing for arbitrary correlation structures among the SNPs in an SNP-set, while performing accurate analytic
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