Genetic risks and genetic model specification

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

5 Scopus Citations
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Author(s)

  • Gang Zheng
  • Wei Zhang
  • Ao Yuan
  • Qizhai Li
  • Joseph L. Gastwirth

Detail(s)

Original languageEnglish
Pages (from-to)68-74
Journal / PublicationJournal of Theoretical Biology
Volume403
Publication statusPublished - 21 Aug 2016
Externally publishedYes

Abstract

Genetic risks and genetic models are often used in design and analysis of genetic epidemiology studies. A genetic model is defined in terms of two genetic risk measures: genotype relative risk and odds ratio. The impacts of choosing a risk measure on the resulting genetic models are studied in the power to detect association and deviation from Hardy-Weinberg equilibrium in cases using genetic relative risk. Extensive simulations demonstrate that the power of a study to detect associations using odds ratio is lower than that using relative risk with the same value when other parameters are fixed. When the Hardy-Weinberg equilibrium holds in the general population, the genetic model can be inferred by the deviation from Hardy-Weinberg equilibrium in only cases. Furthermore, it is more efficient than that based on the deviation from Hardy-Weinberg equilibrium in all cases and controls.

Research Area(s)

  • Case-control design, Genetic model, Genetic risk, Hardy-Weinberg equilibrium

Bibliographic Note

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Citation Format(s)

Genetic risks and genetic model specification. / Zheng, Gang; Zhang, Wei; Xu, Jinfeng; Yuan, Ao; Li, Qizhai; Gastwirth, Joseph L.

In: Journal of Theoretical Biology, Vol. 403, 21.08.2016, p. 68-74.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review