Powerful multi-marker association tests: unifying genomic distance-based regression and logistic regression
نویسندگان
چکیده
منابع مشابه
Powerful multi-marker association tests: unifying genomic distance-based regression and logistic regression.
To detect genetic association with common and complex diseases, many statistical tests have been proposed for candidate gene or genome-wide association studies with the case-control design. Due to linkage disequilibrium (LD), multi-marker association tests can gain power over single-marker tests with a Bonferroni multiple testing adjustment. Among many existing multi-marker association tests, m...
متن کاملRelationship between genomic distance-based regression and kernel machine regression for multi-marker association testing.
To detect genetic association with common and complex diseases, two powerful yet quite different multimarker association tests have been proposed, genomic distance-based regression (GDBR) (Wessel and Schork [2006] Am J Hum Genet 79:821–833) and kernel machine regression (KMR) (Kwee et al. [2008] Am J Hum Genet 82:386–397; Wu et al. [2010] Am J Hum Genet 86:929–942). GDBR is based on relating a ...
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In association tests of sites with low minor allele frequency or count, it is known that single-variant tests are impractical to use because the results from which will be either underpowered or unreliable. Joint analyses by pooling or “collapsing” multiple variants based on annotated gene group information are thus more preferred in rare variant association tests. However, the issue remains in...
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ژورنال
عنوان ژورنال: Genetic Epidemiology
سال: 2010
ISSN: 0741-0395
DOI: 10.1002/gepi.20529