 Association study for the relationship between a haplotype or haplotype set and multiple quantitative responsesMakoto Tomita, Noboru Hashimoto and Yutaka Tanaka Computational Statistics & Data Analysis, 2011, vol. 55, issue 6, 2104-2113 Abstract: Though there have been several works on the analysis of the association between genotype and phenotype, little can be found for the association analysis between a haplotype or haplotype sets and multivariate quantitative responses. For example, QTLmarc is available for the analysis of multivariate responses, but it cannot be applied to the case of stochastic diplotype configurations and complex genetic models. The present paper proposes a method of association analysis between diplotype configuration and multivariate quantitative responses assuming the dominant, recessive and additive models. A comparative study is performed between the proposed method and QTLmarc by applying the two methods to numerical examples and small size simulated data sets with actual genotype information taken from the data set of the Hapmap project and artificial quantitative phenotype data which follow multivariate normal distributions. The results show that the proposed method is superior to QTLmarc in finding the assumed association. Keywords: Multivariate; analysis; Quantitative; responses; Haplotype; Likelihood; ratio; test (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:55:y:2011:i:6:p:2104-2113 Access Statistics for this article Computational Statistics & Data Analysis is currently edited by S.P. Azen More articles in Computational Statistics & Data Analysis from Elsevier |
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