Impact of genotyping errors on statistical power of association tests in genomic analyses: A case study-Reference-Cited by-同舟云学术

Impact of genotyping errors on statistical power of association tests in genomic analyses: A case study

Published:2016-12-26 Issue:2 Volume:41 Page:152-162
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genet. Epidemiol.

Author:

Hou Lin¹²,Sun Ning¹²,Mane Shrikant³,Sayward Fred¹⁴,Rajeevan Nallakkandi¹⁴,Cheung Kei-Hoi¹⁴,Cho Kelly⁵⁶,Pyarajan Saiju⁵⁶,Aslan Mihaela¹⁷,Miller Perry¹⁴,Harvey Philip D.⁸⁹,Gaziano J. Michael⁵⁶,Concato John¹⁷,Zhao Hongyu¹²

Affiliation:

1. Clinical Epidemiology Research Center (CERC); Veterans Affairs (VA) Cooperative Studies Program; VA Connecticut Healthcare System; West Haven Connecticut United States of America

2. Department of Biostatistics; Yale School of Public Health; New Haven Connecticut United States of America

3. Department of Genetics; Yale University School of Medicine; New Haven Connecticut United States of America

4. Center for Medical Informatics; Yale University School of Medicine; New Haven Connecticut United States of America

5. Massachusetts Area Veterans Epidemiology Research and Information Center (MAVERIC); VA Cooperative Studies Program; VA Boston Healthcare System; Boston Massachusetts United States of America

6. Department of Medicine; Harvard University School of Medicine; Boston Massachusetts United States of America

7. Department of Medicine; Yale University School of Medicine; New Haven Connecticut United States of America

8. Bruce W. Carter Miami Veterans Affairs (VA) Medical Center; Miami Florida United States of America

9. Department of Psychiatry; University of Miami Miller School of Medicine; Miami Florida United States of America

Funder

Office of Research and Development

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/gepi.22027/fullpdf

Reference39 articles.

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2. Incorporating duplicate genotype data into linear trend tests of genetic association, methods and cost-effectiveness;Borchers;Statistical Applications in Genetics and Molecular Biology,2009

3. An integrative variant analysis suite for whole exome nect-generation sequencing data;Challis;BMC Bioinformatics,2012

4. Uncovering the roles of rare variants in common disease through whole-genome sequencing;Cirulli;Nature Review Genetics,2010

5. A new initiative on precision medicine;Collins;New England Journal of Medicine,2015

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4. vcferr: Development, validation, and application of a single nucleotide polymorphism genotyping error simulation framework;F1000Research;2022-07-11

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