Single nucleotide polymorphism identification in candidate gene systems of obesity
November
11, 2003
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Abstract
Single Nucleotide polymorphisms (SNPs) are the most common genetic variations and occur once every 100 to 300 bases. Recently, SNPs have been used as a high resolution marker set to accelerate the identification of disease genes. This paper used Bayesian inference to weigh evidence for true polymorphism versus sequencing error to create a model, and used statistical scoring of candidate SNPs to identify the SNPs in obesity candidate genes.
From¡GThe Pharmacogenomics Joural (2001) 1,193-203
Reference
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