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Impact on Modes of Inheritance and Relative Risks of Using Extreme Sampling When Designing Genetic Association Studies

Gang Zheng, Xu Jinfeng, Ao Yuan, O. Wu Colin

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Using extreme phenotypes for association studies can improve statistical power. We study the impact of using samples with extremely high or low traits on the alternative model space, the genotype relative risks, and the genetic models in association studies. We prove the following results: when the risk allele causes high-trait values, the more extreme the high traits, the larger the genotype relative risks, which is not always true for using extreme low traits; we also prove that a genetic model theoretically changes with more extreme trait except for the recessive or dominant models. Practically, however, the impact of deviations from the true genetic model at a functional locus due to selective sampling is virtually negligible. The implications of our findings are discussed. Numerical values are reported for illustrations. © 2012 Blackwell Publishing Ltd/University College London.
Original languageEnglish
Pages (from-to)80-84
JournalAnnals of Human Genetics
Volume77
Issue number1
DOIs
Publication statusPublished - Jan 2013
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Association studies
  • Extreme sampling
  • Genetic models
  • Genotype relative risks
  • Replication

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