Informing prevention and intervention policy using genetic studies of resistance

Brion Maher, Shawn Latendresse, Michael M. Vanyukov

Research output: Contribution to journalArticle

Abstract

The common paradigm for conceptualizing the influence of genetic and environmental factors on a particular disease relies on the concept of risk. Consequently, the bulk of etiologic, including genetic, work focuses on “risk” factors. These factors are aggregated at the high end of the distribution of liability to disease, the latent variable underlying the distribution of probability and severity of a disorder. However, liability has a symmetric but distinct aspect to risk, resistance to disorder. Resistance factors, aggregated at the low end of the liability distribution and supporting health and recovery, appear to be more promising for effective prevention and intervention. Herein, we discuss existing work on resistance factors, highlighting those with known genetic influences. We examine the utility of incorporating resistance genetics in prevention and intervention trials and compare the statistical power of a series of ascertainment schemes to develop a general framework for examining resistance outcomes in genetically informative designs. We find that an approach that samples individuals discordant on measured liability, a low-risk design, is the most feasible design and yields power equivalent to or higher than commonly used designs for detecting resistance genetic and environmental effects.

Original languageEnglish (US)
Pages (from-to)49-57
Number of pages9
JournalPrevention Science
Volume19
Issue number1
DOIs
StatePublished - Jan 1 2018

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R Factors
Health

Keywords

  • Genetic resistance
  • High-risk design
  • Prevention
  • Resilience

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Cite this

Informing prevention and intervention policy using genetic studies of resistance. / Maher, Brion; Latendresse, Shawn; Vanyukov, Michael M.

In: Prevention Science, Vol. 19, No. 1, 01.01.2018, p. 49-57.

Research output: Contribution to journalArticle

Maher, Brion ; Latendresse, Shawn ; Vanyukov, Michael M. / Informing prevention and intervention policy using genetic studies of resistance. In: Prevention Science. 2018 ; Vol. 19, No. 1. pp. 49-57.
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