Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations | Zendy

Jim Huang | Zendy; Anitha Kannan | Zendy; John Winn | Zendy

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Bayesian association of haplotypes and non-genetic factors to regulatory and phenotypic variation in human populations

Author(s) -

Jim Huang,

Anitha Kannan,

John Winn

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm217

Subject(s) - biology , single nucleotide polymorphism , haplotype , genetics , genetic variation , genetic association , phenotype , copy number variation , tag snp , quantitative trait locus , genotype , gene , computational biology , genome

With the recent availability of large-scale data sets profiling single nucleotide polymorphisms (SNPs) and quantitative traits data across different human subpopulations, there has been much attention directed towards discovering patterns of genetic variation and their connection to gene regulation and the onset/progression of disease. While previous work has focused primarily on correlating individual SNP markers with gene expression and disease, it has been suggested that using haplotype blocks instead of individual markers can significantly increase statistical power.

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