ComPaSS-GWAS: A method to reduce type I error in genome-wide association studies when replication data are not available-Reference-Cited by-同舟云学术

ComPaSS-GWAS: A method to reduce type I error in genome-wide association studies when replication data are not available

Published:2018-10-18 Issue:1 Volume:43 Page:102-111
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol

Author:

Sabourin Jeremy A.¹^ORCID,Cropp Cheryl D.²³⁴,Sung Heejong¹^ORCID,Brody Lawrence C.⁵^ORCID,Bailey-Wilson Joan E.²^ORCID,Wilson Alexander F.¹^ORCID

Affiliation:

1. Genometrics Section, Computational and Statistical Genomics Branch; National Human Genome Research Institute/National Institutes of Health (NHGRI/NIH); Baltimore Maryland

2. Statistical Genetics Section, Computational and Statistical Genomics Branch; National Human Genome Research Institute/National Institutes of Health (NHGRI/NIH); Baltimore Maryland

3. Integrated Cancer Genomics Division; Translational Genomics Research Institute (TGen); Phoenix Arizona

4. McWhorter School of Pharmacy; Samford University; Birmingham Alabama

5. Medical Genomics and Metabolic Genetics Branch; National Human Genome Research Institute/National Institutes of Health (NHGRI/NIH); Bethesda Maryland

Funder

Intramural Research Program of the National Human Genome Research Institute, National Institutes of Health

Publisher

Wiley

Subject

Genetics(clinical),Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/gepi.22168/fullpdf

Reference25 articles.

1. Stability selection for genome-wide association;Alexander;Genetic Epidemiology,2011

2. Comprehensive literature review and statistical considerations for GWAS meta-analysis;Begum;Nucleic Acids Research,2012

3. Bagging predictors;Breiman;Machine Learning,1996