Cautions of Using Allele-Based Tests Under Heterosis

Authors

  • Bernard Omolo Division of Mathematics & Computer Science, University of South Carolina - Upstate, Spartanburg, SC 29303, USA
  • Hongmei Zhang Department of Epidemiology and Biostatistics, University of South Carolina - Columbia, Columbia, SC 29208, USA
  • Wilfrieed Karmaus Department of Epidemiology and Biostatistics, University of South Carolina - Columbia, Columbia, SC 29208, USA

DOI:

https://doi.org/10.6000/1929-6029.2013.02.01.06

Keywords:

Chi-square test, dynamic systems theory, genotype, haplotype, statistical power

Abstract

:In genetic studies, heterotic effects are commonly assessed as dominant, additive, or recessive effects for a given genetic marker. However, the distorting effect of heterosis on statistical tests is non-trivial. An inheritance model needs to be carefully chosen to achieve highest testing power. We assess this through simulations via allele- and genotype-based tests. Chi-square test statistics for different inheritance models are formulated as a function of relative risks and allele frequencies. The results indicate that testing power from the commonly used allele-based tests can be substantially diminished by heterosis. Assessing the existence of heterosis is thus recommended to avoid false negative findings.

Author Biographies

Bernard Omolo, Division of Mathematics & Computer Science, University of South Carolina - Upstate, Spartanburg, SC 29303, USA

Division of Mathematics and Computer Science

Hongmei Zhang, Department of Epidemiology and Biostatistics, University of South Carolina - Columbia, Columbia, SC 29208, USA

Department of Epidemiology and Biostatistics

Wilfrieed Karmaus, Department of Epidemiology and Biostatistics, University of South Carolina - Columbia, Columbia, SC 29208, USA

Department of Epidemiology and Biostatistics

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Published

2013-02-12

How to Cite

Omolo, B., Zhang, H., & Karmaus, W. (2013). Cautions of Using Allele-Based Tests Under Heterosis. International Journal of Statistics in Medical Research, 2(1), 47–54. https://doi.org/10.6000/1929-6029.2013.02.01.06

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General Articles