Optimal Step Length EM Algorithm (OSLEM) for the estimation of haplotype frequency and its application in lipoprotein lipase genotyping期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Optimal Step Length EM Algorithm (OSLEM) for the estimation of haplotype frequency and its application in lipoprotein lipase genotyping

Authors:	Peisen?Zhang author-information" > author-information__contact u-icon-before" > mailto:pz@columbia.edu" title=" pz@columbia.edu" itemprop=" email" data-track=" click" data-track-action=" Email author" data-track-label=" " >Email author,Huitao?Sheng,Alfredo?Morabia,T?Conrad?Gilliam

Affiliation:	1.Columbia Genome Center,Columbia University,New York,USA;2.Departments of Genetics & Development, and Psychiatry,Columbia University,New York,USA;3.Division d'Epidémiologie Clinique,H?pitaux Universitaires de Genève,Geneva,Switzerland

Abstract:	Background Haplotype based linkage disequilibrium (LD) mapping has become a powerful and cost-effective method for performing genetic association studies, particularly in the search for genetic markers in linkage disequilibrium with complex disease loci. Various methods (e.g. Monte-Carlo (Gibbs sampling); EM (expectation maximization); and Clark's method) have been used to estimate haplotype frequencies from routine genotyping data.

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