| Similarity-based multimarker association tests for continuous traits. | |
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MedLine Citation:
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PMID: 22497480 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Testing multiple markers simultaneously not only can capture the linkage disequilibrium patterns but also can decrease the number of tests and thus alleviate the multiple-testing penalty. If a gene is associated with a phenotype, subjects with similar genotypes in this gene should also have similar phenotypes. Based on this concept, we have developed a general framework that is applicable to continuous traits. Two similarity-based tests (namely, SIMc and SIMp tests) were derived as special cases of the general framework. In our simulation study, we compared the power of the two tests with that of the single-marker analysis, a standard haplotype regression, and a popular and powerful kernel machine regression. Our SIMc test outperforms other tests when the average R(2) (a measure of linkage disequilibrium) between the causal variant and the surrounding markers is larger than 0.3 or when the causal allele is common (say, frequency = 0.3). Our SIMp test outperforms other tests when the causal variant was introduced at common haplotypes (the maximum frequency of risk haplotypes >0.4). We also applied our two tests to an adiposity data set to show their utility. |
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Authors:
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Wan-Yu Lin; Hemant K Tiwari; Guimin Gao; Kui Zhang; John J Arcaroli; Edward Abraham; Nianjun Liu |
Publication Detail:
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Type: Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Annals of human genetics Volume: 76 ISSN: 1469-1809 ISO Abbreviation: Ann. Hum. Genet. Publication Date: 2012 May |
Date Detail:
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Created Date: 2012-04-13 Completed Date: 2012-06-29 Revised Date: 2013-05-03 |
Medline Journal Info:
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Nlm Unique ID: 0416661 Medline TA: Ann Hum Genet Country: England |
Other Details:
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Languages: eng Pagination: 246-60 Citation Subset: IM |
Copyright Information:
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© 2012 The Authors Annals of Human Genetics © 2012 Blackwell Publishing Ltd/University College London. |
Affiliation:
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Department of Biostatistics, University of Alabama at Birmingham, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adiposity
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genetics Computers Genetic Association Studies / methods* Genetic Markers* Genetic Variation Genotype Haplotypes Humans Linkage Disequilibrium Models, Statistical* |
| Grant Support | |
ID/Acronym/Agency:
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DK52431/DK/NIDDK NIH HHS; GM073766/GM/NIGMS NIH HHS; GM074913/GM/NIGMS NIH HHS; GM081488/GM/NIGMS NIH HHS; GM087748/GM/NIGMS NIH HHS; HL076206/HL/NHLBI NIH HHS; R01 DK052431-10/DK/NIDDK NIH HHS; R01 GM073766-05/GM/NIGMS NIH HHS; R01 GM074913-05/GM/NIGMS NIH HHS; R01 GM081488-02S1/GM/NIGMS NIH HHS; R01 GM081488-04/GM/NIGMS NIH HHS; R01 GM087748-02/GM/NIGMS NIH HHS; R01 HL076206-04/HL/NHLBI NIH HHS |
| Chemical | |
Reg. No./Substance:
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0/Genetic Markers |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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