Robust Association Tests for the Replication of Genome-Wide Association Studies

In genome-wide association study (GWAS), robust genetic association tests such as maximum of three CATTs (MAX3), each corresponding to recessive, additive, and dominant genetic models, the minimum p value of Pearson’s Chi-square test with 2 degrees of freedom, and CATT based on additive genetic mode...

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Main Authors: Jungnam Joo, Ju-Hyun Park, Bora Lee, Boram Park, Sohee Kim, Kyong-Ah Yoon, Jin Soo Lee, Nancy L. Geller
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2015/461593
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spelling doaj-a8b65047a7d545418fad62eaeec65c732020-11-25T00:06:41ZengHindawi LimitedBioMed Research International2314-61332314-61412015-01-01201510.1155/2015/461593461593Robust Association Tests for the Replication of Genome-Wide Association StudiesJungnam Joo0Ju-Hyun Park1Bora Lee2Boram Park3Sohee Kim4Kyong-Ah Yoon5Jin Soo Lee6Nancy L. Geller7Biometric Research Branch, Research Institute and Hospital, National Cancer Center, Gyeonggi-do, Goyang-si 410-769, Republic of KoreaDepartment of Statistics, Dongguk University, Seoul 100-715, Republic of KoreaBiometric Research Branch, Research Institute and Hospital, National Cancer Center, Gyeonggi-do, Goyang-si 410-769, Republic of KoreaBiometric Research Branch, Research Institute and Hospital, National Cancer Center, Gyeonggi-do, Goyang-si 410-769, Republic of KoreaBiometric Research Branch, Research Institute and Hospital, National Cancer Center, Gyeonggi-do, Goyang-si 410-769, Republic of KoreaLung Cancer Branch, Research Institute and Hospital, National Cancer Center, Gyeonggi-do, Goyang-si 410-769, Republic of KoreaLung Cancer Branch, Research Institute and Hospital, National Cancer Center, Gyeonggi-do, Goyang-si 410-769, Republic of KoreaOffice of Biostatistics Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892-7938, USAIn genome-wide association study (GWAS), robust genetic association tests such as maximum of three CATTs (MAX3), each corresponding to recessive, additive, and dominant genetic models, the minimum p value of Pearson’s Chi-square test with 2 degrees of freedom, and CATT based on additive genetic model (MIN2), genetic model selection (GMS), and genetic model exclusion (GME) methods have been shown to provide better power performance under wide range of underlying genetic models. In this paper, we demonstrate how these robust tests can be applied to the replication study of GWAS and how the overall statistical significance can be evaluated using the combined test formed by p values of the discovery and replication studies.http://dx.doi.org/10.1155/2015/461593
collection DOAJ
language English
format Article
sources DOAJ
author Jungnam Joo
Ju-Hyun Park
Bora Lee
Boram Park
Sohee Kim
Kyong-Ah Yoon
Jin Soo Lee
Nancy L. Geller
spellingShingle Jungnam Joo
Ju-Hyun Park
Bora Lee
Boram Park
Sohee Kim
Kyong-Ah Yoon
Jin Soo Lee
Nancy L. Geller
Robust Association Tests for the Replication of Genome-Wide Association Studies
BioMed Research International
author_facet Jungnam Joo
Ju-Hyun Park
Bora Lee
Boram Park
Sohee Kim
Kyong-Ah Yoon
Jin Soo Lee
Nancy L. Geller
author_sort Jungnam Joo
title Robust Association Tests for the Replication of Genome-Wide Association Studies
title_short Robust Association Tests for the Replication of Genome-Wide Association Studies
title_full Robust Association Tests for the Replication of Genome-Wide Association Studies
title_fullStr Robust Association Tests for the Replication of Genome-Wide Association Studies
title_full_unstemmed Robust Association Tests for the Replication of Genome-Wide Association Studies
title_sort robust association tests for the replication of genome-wide association studies
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2015-01-01
description In genome-wide association study (GWAS), robust genetic association tests such as maximum of three CATTs (MAX3), each corresponding to recessive, additive, and dominant genetic models, the minimum p value of Pearson’s Chi-square test with 2 degrees of freedom, and CATT based on additive genetic model (MIN2), genetic model selection (GMS), and genetic model exclusion (GME) methods have been shown to provide better power performance under wide range of underlying genetic models. In this paper, we demonstrate how these robust tests can be applied to the replication study of GWAS and how the overall statistical significance can be evaluated using the combined test formed by p values of the discovery and replication studies.
url http://dx.doi.org/10.1155/2015/461593
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