Sequence Kernel Association Analysis of Rare Variant Set Based on the Marginal Regression Model for Binary Traits-Reference-Cited by-同舟云学术

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Sequence Kernel Association Analysis of Rare Variant Set Based on the Marginal Regression Model for Binary Traits

Published:2015-08-17 Issue:6 Volume:39 Page:399-405
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Wu Baolin¹,Pankow James S.²,Guan Weihua¹

Affiliation:

1. Division of Biostatistics; School of Public Health, University of Minnesota; Minneapolis Minnesota United States of America

2. Division of Epidemiology and Community Health; School of Public Health, University of Minnesota; Minneapolis Minnesota United States of America

Funder

National Institutes of Health

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Reference32 articles.

1. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture;Berndt;Nat Genet,2013

2. Rare MTNR1B variants impairing melatonin receptor 1B function contribute to type 2 diabetes;Bonnefond;Nat Genet,2012

3. Sequence kernel association test for survival traits;Chen;Genet Epidemiol,2014

4. Theoretical Statistics

5. Algorithm AS 155: the distribution of a linear combination of χ2 random variables;Davies;Appl Stat,1980

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1. Rare variant association tests for ancestry-matched case-control data based on conditional logistic regression;Briefings in Bioinformatics;2022-01-11

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4. An optimal kernel-based U -statistic method for quantitative gene-set association analysis;Genetic Epidemiology;2018-11-19

5. FastSKAT: Sequence kernel association tests for very large sets of markers;Genetic Epidemiology;2018-06-22

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