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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Online Access: | http://dx.doi.org/10.1155/2015/461593 |
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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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