title: Informing Prevention and Intervention Policy Using Genetic Studies of Resistance.
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.
authors.affiliation: Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway Ave., Baltimore, MD, 21205, USA. brion@jhu.edu.
authors.forename: Brion S
authors.initials: BS
authors.lastname: Maher
authors.affiliation: Department of Psychology and Neuroscience, Baylor University, Waco, TX, USA.
authors.forename: Shawn
authors.initials: S
authors.lastname: Latendresse
authors.affiliation: Departments of Pharmaceutical Sciences, Psychiatry, and Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA.
authors.forename: Michael M
authors.initials: MM
authors.lastname: Vanyukov
mesh_terms: D020022:Genetic Predisposition to Disease; D036281:Genetic Research; D006801:Humans; D011050:Policy Making; D012307:Risk Factors
keywords: Genetic resistance; High-risk design; Prevention; Resilience