Genetic Variant Set-Based Tests Using the Generalized Berk–Jones Statistic With Application to a Genome-Wide Association Study of Breast Cancer

DOI10.1080/01621459.2019.1660170zbMath1441.92005OpenAlexW2972729032WikidataQ100517738 ScholiaQ100517738MaRDI QIDQ5120646

Ryan Sun, Xihong Lin

Publication date: 15 September 2020

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539682

zbMATH Keywords

breast cancersparse alternativeFGFR2 genegene-level testgeneralized higher criticism

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Genetics and epigenetics (92D10)

Related Items (2)

A Minimax Optimal Ridge-Type Set Test for Global Hypothesis With Applications in Whole Genome Sequencing Association Studies ⋮ MulticlusterKDE: a new algorithm for clustering based on multivariate kernel density estimation

Uses Software

• HAPGEN2
• dmGWAS
• Eigenstrat

Cites Work

• Unnamed Item
• On the exact Berk-Jones statistics and their \(p\)-value calculation
• Fast calculation of boundary crossing probabilities for Poisson processes
• The multivariate normal distribution
• Higher criticism for detecting sparse heterogeneous mixtures.
• Higher criticism: \(p\)-values and criticism
• Goodness-of-fit tests via phi-divergences
• Binary Regression Using an Extended Beta-Binomial Distribution, With Discussion of Correlation Induced by Covariate Measurement Errors
• Goodness-of-fit test statistics that dominate the Kolmogorov statistics
• The average likelihood ratio for large-scale multiple testing and detecting sparse mixtures

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