Is there an active gene-environment correlation in adolescent drinking behavior?

Behav Genet

Department of Psychology, University of Texas at Austin, 1 University Station A8000, Austin, TX 78712-0187, USA.

Published: July 2010

A scale based on alcohol-related behaviors and an item on shared friends from the National Merit Twin Study were used in an attempt to confirm the finding of Cleveland et al. (1995, J Genet Psychol 166:153-169) of gene-environment correlation in adolescents' drinking behavior, a correlation based on the differential selection of peers. Results from samples of 490 MZ and 336 same-sex DZ pairs were consistent in direction with the hypothesis, although quantitatively modest. This consistency appeared, however, to depend entirely on the female twins in the sample.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s10519-010-9347-zDOI Listing

Publication Analysis

Top Keywords

gene-environment correlation
8
active gene-environment
4
correlation adolescent
4
adolescent drinking
4
drinking behavior?
4
behavior? scale
4
scale based
4
based alcohol-related
4
alcohol-related behaviors
4
behaviors item
4

Similar Publications

Background: The BCG vaccine induces trained immunity, an epigenetic-mediated increase in innate immune responsiveness. Therefore, this clinical trial evaluated if BCG-induced trained immunity could decrease coronavirus disease 2019 (COVID-19)-related frequency or severity.

Methods: A double-blind, placebo-controlled clinical trial of healthcare workers randomized participants to vaccination with BCG TICE or placebo (saline).

View Article and Find Full Text PDF

Apart from ancestry, personal or environmental covariates may contribute to differences in polygenic score (PGS) performance. We analyzed the effects of covariate stratification and interaction on body mass index (BMI) PGS (PGS) across four cohorts of European (N = 491,111) and African (N = 21,612) ancestry. Stratifying on binary covariates and quintiles for continuous covariates, 18/62 covariates had significant and replicable R differences among strata.

View Article and Find Full Text PDF

Identification of a novel heterozygous GPD1 missense variant in a Chinese adult patient with recurrent HTG-AP consuming a high-fat diet and heavy smoking.

BMC Med Genomics

January 2025

Department of Critical Care Medicine, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, No. 321 Zhongshan Road, Nanjing, 210008, Jiangsu Province, China.

Background: Glycerol-3-phosphate dehydrogenase 1 (GPD1) gene defect can cause hypertriglyceridemia (HTG), which usually occurs in infants. The gene defect has rarely been reported in adult HTG patients. In the present study, we described the clinical and functional analyses of a novel GPD1 missense variant in a Chinese adult patient with recurrent hypertriglyceridemia‑related acute pancreatitis (HTG-AP), consuming a high-fat diet and smoking heavily.

View Article and Find Full Text PDF

Genomic selection strategies to overcome genotype by environment interactions in biosecurity-based aquaculture breeding programs.

Genet Sel Evol

January 2025

State Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, Shandong, China.

Background: Family-based selective breeding programs typically employ both between-family and within-family selection in aquaculture. However, these programs may exhibit a reduced genetic gain in the presence of a genotype by environment interactions (G × E) when employing biosecurity-based breeding schemes (BS), compared to non-biosecurity-based breeding schemes (NBS). Fortunately, genomic selection shows promise in improving genetic gain by taking within-family variance into account.

View Article and Find Full Text PDF

Studying genetic variability through the phenotypic performance of genotypes is crucial in the breeding program. Therefore, evaluating both yield performance and stability across diverse environments is essential in yield trials to identify high-yield potential and stable cultivars. In this study, we employed 12 univariate and 10 multivariate stability models to analyze how genotype (G), environment (E), and their interaction (G × E) affect the yield performance of 32 barley genotypes across 10 environments.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!