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Association study for the relationship between a haplotype or haplotype set and multiple quantitative responses

Author

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  • Tomita, Makoto
  • Hashimoto, Noboru
  • Tanaka, Yutaka

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.

Suggested Citation

  • Tomita, Makoto & Hashimoto, Noboru & Tanaka, Yutaka, 2011. "Association study for the relationship between a haplotype or haplotype set and multiple quantitative responses," Computational Statistics & Data Analysis, Elsevier, vol. 55(6), pages 2104-2113, June.
    • Handle: RePEc:eee:csdana:v:55:y:2011:i:6:p:2104-2113
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    References listed on IDEAS

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    1. Tomita, Makoto & Hatsumichi, Masahiro & Kurihara, Koji, 2008. "Identify LD blocks based on hierarchical spatial data," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 1806-1820, January.
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