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Improving power for rare-variant tests by integrating external controls

Published:2017-06-28 Issue:7 Volume:41 Page:610-619
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Lee Seunggeun¹²^ORCID,Kim Sehee¹,Fuchsberger Christian¹²³

Affiliation:

1. Department of Biostatistics; University of Michigan; Ann Arbor MI USA

2. Center for Statistical Genetics; University of Michigan; Ann Arbor MI USA

3. Center for Biomedicine; European Academy of Bolzano/Bozen, affiliated to the University of Lübeck; Bolzano/Bozen Italy

Funder

Austrian Science Fund

National Institutes of Health

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Reference28 articles.

1. Comparison of statistical tests for disease association with rare variants;Basu;Genetic Epidemiology,2011

2. A method to exploit the structure of genetic ancestry space to enhance case-control studies;Bodea;American Journal of Human Genetics,2016

3. Rare coding variants in the phospholipase D3 gene confer risk for Alzheimer's disease;Cruchaga;Nature,2014

4. Association analysis using next generation sequence data from publicly available control groups: The robust variance score statistic;Derkach;Bioinformatics,2014

5. 2016 http://evs.gs.washington.edu/EVS/

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1. Public platform with 39,472 exome control samples enables association studies without genotype sharing;Nature Genetics;2024-01-10

2. Integrating External Controls by Regression Calibration for Genome-Wide Association Study;Genes;2024-01-03

3. Case-only exome variation analysis of severe alcohol dependence using a multivariate hierarchical gene clustering approach;PLOS ONE;2023-04-25

4. Inflated expectations: Rare-variant association analysis using public controls;PLOS ONE;2023-01-25

5. Recent advances and challenges of rare variant association analysis in the biobank sequencing era;Frontiers in Genetics;2022-10-06

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