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Association Mapping by Generalized Linear Regression With Density-Based Haplotype Clustering

Haplotypes of closely linked single-nucleotide polymorphisms (SNPs) potentially offer greater power than individual SNPs to detect association between genetic variants and disease. We present a novel approach for association mapping in which density-based clustering of haplotypes reduces the dimensi...

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書誌詳細
主要な著者: Igo, Robert P., Li, Jing, Goddard, Katrina A.B.
フォーマット: Artigo
言語:Inglês
出版事項: 2009
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2952426/
https://ncbi.nlm.nih.gov/pubmed/18561202
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.20352
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