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Performance of MAX Test and Degree of Dominance Index in Predicting the Mode of Inheritance

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  • Zintzaras Elias

    (University of Thessaly School of Medicine and Tufts University School of Medicine)

  • Santos Mauro

    (Universitat Autònoma de Barcelona)

Abstract

We evaluate power performance to detect the correct mode of inheritance in gene-disease associations of two different approaches: the MAX test and the degree of dominance index or h-index. The MAX test is a special case of the conditional independence tests that simultaneously test for association and select the most likely genetic model based on a three-dimensional normal distribution. The h-index is based on the philosophy of using orthogonal contrasts to infer the mode of inheritance quantitatively. A population genetic model is developed where the real mode of inheritance is known a priori and power performance can be accurately determined. The simulations showed that none of the two approaches generally outperforms the other, nor each of them provides a panacea to estimate efficiently the mode of inheritance in all parameter space. However, the simultaneous application of both approaches can provide insights in determining the underlying mode of inheritance.

Suggested Citation

  • Zintzaras Elias & Santos Mauro, 2012. "Performance of MAX Test and Degree of Dominance Index in Predicting the Mode of Inheritance," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(4), pages 1-17, June.
    • Handle: RePEc:bpj:sagmbi:v:11:y:2012:i:4:n:4
    DOI: 10.1515/1544-6115.1804
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    Cited by:

    1. Jinxian Sun & Jianrong Hu & Chunlin Tu & Anyuan Zhong & Huajun Xu, 2015. "Obstructive Sleep Apnea Susceptibility Genes in Chinese Population: A Field Synopsis and Meta-Analysis of Genetic Association Studies," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-13, August.

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