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- Title
Multiple testing in genome-wide association studies via hidden Markov models.
- Authors
Zhi Wei; Wenguang Sun; Kai Wang; Hakonarson, Hakon
- Abstract
Motivation: Genome-wide association studies (GWAS) interrogate common genetic variation across the entire human genome in an unbiased manner and hold promise in identifying genetic variants with moderate or weak effect sizes. However, conventional testing procedures, which are mostly P-value based, ignore the dependency and therefore suffer from loss of efficiency. The goal of this article is to exploit the dependency information among adjacent single nucleotide polymorphisms (SNPs) to improve the screening efficiency in GWAS.
- Subjects
HUMAN genome; GENETIC polymorphisms; GENOMES; HUMAN gene mapping; NUCLEOTIDE analysis; MOLECULAR biology
- Publication
Bioinformatics, 2009, Vol 25, Issue 21, p2802
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btp476