Suchergebnisse

Accurately identifying interactions between genetic vulnerabilities and environmental factors is of critical importance for genetic research on health and behavior. In the previous work of Van Hulle et al. (Behavior Genetics, Vol. 43, 2013, pp. 71–84), we explored the operating characteristics for a set of biometric (e.g., twin) models of Rathouz et al. (Behavior Genetics, Vol. 38, 2008, pp. 301–315), for testing gene-by-measured environment interaction (GxM) in the presence of gene-by-measured environment correlation (rGM) where data followed the assumed distributional structure. Here we explore the effects that violating distributional assumptions have on the operating characteristics of these same models even when structural model assumptions are correct. We simulated N = 2,000 replicates of n = 1,000 twin pairs under a number of conditions. Non-normality was imposed on either the putative moderator or on the ultimate outcome by ordinalizing or censoring the data. We examined the empirical Type I error rates and compared Bayesian information criterion (BIC) values. In general, non-normality in the putative moderator had little impact on the Type I error rates or BIC comparisons. In contrast, non-normality in the outcome was often mistaken for or masked GxM, especially when the outcome data were censored.

The Wisconsin Twin Research Program comprises multiple longitudinal studies that utilize a panel recruited from statewide birth records for the years 1989 through 2004. Our research foci are the etiology and developmental course of early emotions, temperament, childhood anxiety and impulsivity, autism, sensory over-responsivity, and related topics. A signature feature of this research program is the breadth and depth of assessment during key periods of development. The assessments include extensive home- and laboratory-based behavioral batteries, recorded sibling and caregiver interactions, structured psychiatric interviews with caregivers and adolescents, observer ratings of child behavior, child self-report, cognitive testing, neuroendocrine measures, medical records, dermatoglyphics, genotyping, and neuroimaging. Across the various studies, testing occasions occurred between 3 months and 18 years of age. Data collection for some aspects of the research program has concluded and, for other aspects, longitudinal follow-ups are in progress.

Symptoms of attention‐deficit/hyperactivity disorder (ADHD) and anxiety are common during adolescence and frequently co‐occur. However, the genetic and environmental influences that underlie this co‐occurrence are understudied. Using a large twin sample (N = 1,017), we examined cross‐sectional genetic and environmental influences on ADHD and anxiety symptoms during childhood. We also explored whether these influences were shared with attentional control, a putative mechanism for symptom comorbidity. We found evidence for common genetic and nonshared environmental influences on the covariation among attentional control, ADHD, and anxiety symptoms, supporting the putative role of attentional control as a mechanism by which comorbid problems may develop. Genetic factors also accounted for symptom co‐occurrence after controlling for covariation with attentional control, suggesting the presence of additional unmeasured mechanisms.

AbstractThe Wisconsin Twin Project comprises multiple longitudinal studies that span infancy to early adulthood. We summarize recent papers that show how twin designs with deep phenotyping, including biological measures, can inform questions about phenotypic structure, etiology, comorbidity, heterogeneity, and gene–environment interplay of temperamental constructs and mental and physical health conditions of children and adolescents. The general framework for investigations begins with rich characterization of early temperament and follows with study of experiences and exposures across childhood and adolescence. Many studies incorporate neuroimaging and hormone assays.