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...
| Publicado en: | BioMed Research International Vol. 2015; pp. 1 - 11 |
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| Autores principales: | , , , , , , , |
| Formato: | equations & formulas research Journal Article |
| Publicado: |
Wiley-Blackwell
8/4/2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109031040&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109031040 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 8/4/2015 vid: 2015 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 109031040 109031040 109031040 10.1155/2015/461593 109031040 ppf: 1 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Robust Association Tests for the Replication of Genome-Wide Association Studies. aug: au: Joo, Jungnam Park, Ju-Hyun Lee, Bora Park, Boram Kim, Sohee Yoon, Kyong-Ah Lee, Jin Soo Geller, Nancy L. affil: Biometric Research Branch, Research Institute and Hospital, National Cancer Center, Gyeonggi-do, Goyang-si 410-769, Republic of Korea sug: subj: Genome Evaluation Genetic Techniques Data Analysis Chi Square Test Alleles Models, Statistical Descriptive Statistics Post Hoc Analysis Funding Source Genotype Disease Familial and Genetic ab: 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. pubtype: Academic Journal doctype: equations & formulas research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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