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Diplotyper: diplotype-based association analysisopen access

Authors
Kim, SunshinPark, KyungChaeShin, CholCho, Nam H.Ko, Jeong-JaeKoh, InSongKwack, KyuBum
Issue Date
May-2013
Publisher
BMC
Citation
BMC MEDICAL GENOMICS, v.6, no.2, pp.1 - 8
Indexed
SCIE
SCOPUS
Journal Title
BMC MEDICAL GENOMICS
Volume
6
Number
2
Start Page
1
End Page
8
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/162931
DOI
10.1186/1755-8794-6-S2-S5
ISSN
1755-8794
Abstract
Background: It was previously reported that an association analysis based on haplotype clusters increased power over single-locus tests, and that another association test based on diplotype trend regression analysis outperformed other, more common association approaches. We suggest a novel algorithm to combine haplotype cluster-and diplotype-based analyses. Methods: Diplotyper combines a novel algorithm designed to cluster haplotypes of interest from a given set of haplotypes with two existing tools: Haploview, for analyses of linkage disequilibrium blocks and haplotypes, and PLINK, to generate all possible diplotypes from given genotypes of samples and calculate linear or logistic regression. In addition, procedures for generating all possible diplotypes from the haplotype clusters and transforming these diplotypes into PLINK formats were implemented. Results: Diplotyper is a fully automated tool for performing association analysis based on diplotypes in a population. Diplotyper was tested through association analysis of hepatic lipase (LIPC) gene polymorphisms or diplotypes and levels of high-density lipoprotein (HDL) cholesterol. Conclusions: Diplotyper is useful for identifying more precise and distinct signals over single-locus tests.
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