The Next Steps in Our Understanding of Gene–Peer Interplay: A Commentary

The studies included in this special issue on gene–peer interplay in child and adolescent outcomes can uniformly be described as cutting edge and methodologically sophisticated. When viewed together, they all but conclusively document the presence and importance of gene–peer interplay in child and adolescent outcomes. Nevertheless, more work on the topic is needed, both because the inherent complexity of peer studies means we know less on this topic than on many others, but also because available research is limited by the descriptive nature of the findings. The current commentary offers suggestions for future work that would begin to remedy these limitations

Commentary: Improving treatment for youth with callous‐unemotional traits through the intersection of basic and applied science – reflections on Dadds et al. (2014)

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/107588/1/jcpp12274.pd

Understanding “What Could Be”: A Call for ‘Experimental Behavioral Genetics’

Behavioral genetic (BG) research has yielded many important discoveries about the origins of human behavior, but offers little insight into how we might improve outcomes. We posit that this gap in our knowledge base stems in part from the epidemiologic nature of BG research questions. Namely, BG studies focus on understanding etiology as it currently exists, rather than etiology in environments that could exist but do not as of yet (e.g., etiology following an intervention). Put another way, they focus exclusively on the etiology of “what is” rather than “what could be”. The current paper discusses various aspects of this field-wide methodological reality, and offers a way to overcome it by demonstrating how behavioral geneticists can incorporate an experimental approach into their work. We outline an ongoing study that embeds a randomized intervention within a twin design, connecting “what is” and “what could be” for the first time. We then lay out a more general framework for a new field—experimental BGs—which has the potential to advance both scientific inquiry and related philosophical discussions

Using person‐specific neural networks to characterize heterogeneity in eating disorders: Illustrative links between emotional eating and ovarian hormones

ObjectiveEmotional eating has been linked to ovarian hormone functioning, but no studies to‐date have considered the role of brain function. This knowledge gap may stem from methodological challenges: Data are heterogeneous, violating assumptions of homogeneity made by between‐subjects analyses. The primary aim of this paper is to describe an innovative within‐subjects analysis that models heterogeneity and has potential for filling knowledge gaps in eating disorder research. We illustrate its utility in an application to pilot neuroimaging, hormone, and emotional eating data across the menstrual cycle.MethodGroup iterative multiple model estimation (GIMME) is a person‐specific network approach for estimating sample‐, subgroup‐, and individual‐level connections between brain regions. To illustrate its potential for eating disorder research, we apply it to pilot data from 10 female twins (N = 5 pairs) discordant for emotional eating and/or anxiety, who provided two resting state fMRI scans and hormone assays. We then demonstrate how the multimodal data can be linked in multilevel models.ResultsGIMME generated person‐specific neural networks that contained connections common across the sample, shared between co‐twins, and unique to individuals. Illustrative analyses revealed positive relations between hormones and default mode connectivity strength for control twins, but no relations for their co‐twins who engage in emotional eating or who had anxiety.DiscussionThis paper showcases the value of person‐specific neuroimaging network analysis and its multimodal associations in the study of heterogeneous biopsychosocial phenomena, such as eating behavior.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146371/1/eat22902.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146371/2/eat22902_am.pd

Commentary: Childhood conduct problems are a public health crisis and require resources: a commentary on Rivenbark et al. ()

Black and white 8x10 Acetate Negativehttps://digitalmaine.com/arc_george_french_photos_a810/2202/thumbnail.jp

Introduction: Rethinking the Impact of the Inter-American Human Rights System

This chapter introduces the central themes of the book and argues that the Inter-American Human Rights System (IAHRS) is activated by political actors and institutions in ways that transcend traditional compliance perspectives and that have the potential to meaningfully alter politics and provoke positive domestic human rights change. The chapter identifies key gaps in existing human rights scholarship, particularly in relation to the IAHRS, and outlines three core perspectives on the System’s impact on human rights. It offers a synthesis of the key findings of the volume, and provides reflections on the future prospects of the System by locating it in its broader global context

Changing genetic architecture of body mass index from infancy to early adulthood : an individual based pooled analysis of 25 twin cohorts

Publisher Copyright: © 2022, The Author(s).Background: Body mass index (BMI) shows strong continuity over childhood and adolescence and high childhood BMI is the strongest predictor of adult obesity. Genetic factors strongly contribute to this continuity, but it is still poorly known how their contribution changes over childhood and adolescence. Thus, we used the genetic twin design to estimate the genetic correlations of BMI from infancy to adulthood and compared them to the genetic correlations of height. Methods: We pooled individual level data from 25 longitudinal twin cohorts including 38,530 complete twin pairs and having 283,766 longitudinal height and weight measures. The data were analyzed using Cholesky decomposition offering genetic and environmental correlations of BMI and height between all age combinations from 1 to 19 years of age. Results: The genetic correlations of BMI and height were stronger than the trait correlations. For BMI, we found that genetic correlations decreased as the age between the assessments increased, a trend that was especially visible from early to middle childhood. In contrast, for height, the genetic correlations were strong between all ages. Age-to-age correlations between environmental factors shared by co-twins were found for BMI in early childhood but disappeared altogether by middle childhood. For height, shared environmental correlations persisted from infancy to adulthood. Conclusions: Our results suggest that the genes affecting BMI change over childhood and adolescence leading to decreasing age-to-age genetic correlations. This change is especially visible from early to middle childhood indicating that new genetic factors start to affect BMI in middle childhood. Identifying mediating pathways of these genetic factors can open possibilities for interventions, especially for those children with high genetic predisposition to adult obesity.Peer reviewe