Behavior GeneticsPub Date : 2023-07-01Epub Date: 2023-01-09DOI: 10.1007/s10519-022-10131-w
Zhengyang Zhou, Hung-Chih Ku, Sydney E Manning, Ming Zhang, Chao Xing
{"title":"A Varying Coefficient Model to Jointly Test Genetic and Gene-Environment Interaction Effects.","authors":"Zhengyang Zhou, Hung-Chih Ku, Sydney E Manning, Ming Zhang, Chao Xing","doi":"10.1007/s10519-022-10131-w","DOIUrl":"10.1007/s10519-022-10131-w","url":null,"abstract":"<p><p>Most human traits are influenced by the interplay between genetic and environmental factors. Many statistical methods have been proposed to screen for gene-environment interaction (GxE) in the post genome-wide association study era. However, most of the existing methods assume a linear interaction between genetic and environmental factors toward phenotypic variations, which diminishes statistical power in the case of nonlinear GxE. In this paper, we present a flexible statistical procedure to detect GxE regardless of whether the underlying relationship is linear or not. By modeling the joint genetic and GxE effects as a varying-coefficient function of the environmental factor, the proposed model is able to capture dynamic trajectories of GxE. We employ a likelihood ratio test with a fast Monte Carlo algorithm for hypothesis testing. Simulations were conducted to evaluate validity and power of the proposed model in various settings. Real data analysis was performed to illustrate its power, in particular, in the case of nonlinear GxE.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 4","pages":"374-382"},"PeriodicalIF":2.6,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10277225/pdf/nihms-1866672.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10108769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Behavior GeneticsPub Date : 2023-07-01Epub Date: 2023-05-11DOI: 10.1007/s10519-023-10146-x
Katie N Paulich, Samantha M Freis, Deepika R Dokuru, Jordan D Alexander, Scott I Vrieze, Robin P Corley, Matt McGue, John K Hewitt, Michael C Stallings
{"title":"Exploring Relationships Between Internalizing Problems and Risky Sexual Behavior: A Twin Study.","authors":"Katie N Paulich, Samantha M Freis, Deepika R Dokuru, Jordan D Alexander, Scott I Vrieze, Robin P Corley, Matt McGue, John K Hewitt, Michael C Stallings","doi":"10.1007/s10519-023-10146-x","DOIUrl":"10.1007/s10519-023-10146-x","url":null,"abstract":"<p><p>Previous research links risky sexual behavior (RSB) to externalizing problems and to substance use, but little research has been conducted on relationships between internalizing problems (INT) and RSB. The current study addresses that literature gap, using both a twin sample from Colorado (N = 2567) and a second twin sample from Minnesota (N = 1131) in attempt to replicate initial results. We explored the hypothesis that the latent variable INT would be more strongly associated with the latent variable RSB for females than for males, examining relationships between INT and RSB via phenotypic confirmatory factor analysis and multivariate twin analyses. We found a small but significant phenotypic association between the latent variables. However, despite using two large twin samples, limited power restricted our ability to identify the genetic and environmental mechanisms underlying this association. Our sex differences hypothesis was not fully supported in either sample and requires further investigation. Our findings illustrate the complexity of the relationship between internalizing problems and risky sexual behavior.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 4","pages":"331-347"},"PeriodicalIF":2.6,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11138211/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9650867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Behavior GeneticsPub Date : 2023-07-01Epub Date: 2023-06-07DOI: 10.1007/s10519-023-10147-w
Kasper Otten, Jornt J Mandemakers
{"title":"Partners in Health: Investigating Social Genetic Effects Among Married and Cohabiting Couples.","authors":"Kasper Otten, Jornt J Mandemakers","doi":"10.1007/s10519-023-10147-w","DOIUrl":"10.1007/s10519-023-10147-w","url":null,"abstract":"<p><p>Partners resemble each other in health behaviors and outcomes such as alcohol use, smoking, physical activity, and obesity. While this is consistent with social contagion theory suggesting partner influence, it is notoriously difficult to establish causality because of assortative mating and contextual confounding. We offer a novel approach to studying social contagion in health in long-term partnerships by combining genetic data of both partners in married/cohabiting couples with longitudinal data on their health behaviors and outcomes. We examine the influence of the partner's genetic predisposition for three health outcomes and behaviors (BMI, smoking, and drinking) among married/cohabiting couples. We use longitudinal data from the Health and Retirement Study and the English Longitudinal Study of Ageing with data on health outcomes and genotypes for both partners. Results show that changes over time in BMI, smoking, and drinking depend on the partner's genetic predispositions to these traits. These findings underline the importance of people's social surroundings for their health and highlight the potential of targeting health interventions at couples.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 4","pages":"348-358"},"PeriodicalIF":2.6,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276063/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10026508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Behavior GeneticsPub Date : 2023-06-13DOI: 10.1007/s10519-023-10148-9
Edward Bell
{"title":"The Twin Children of the Holocaust: Stolen Childhood and the Will to Survive. Photographs from the Twins' 40th Anniversary Reunion at Auschwitz-Birkenau : Nancy L. Segal, Boston, Cherry Orchard Books, 2023, LCCN 2022049349 (ebook), ISBN 979-8887190860 (paperback), 110 pages.","authors":"Edward Bell","doi":"10.1007/s10519-023-10148-9","DOIUrl":"https://doi.org/10.1007/s10519-023-10148-9","url":null,"abstract":"","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9976975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Behavior GeneticsPub Date : 2023-05-01Epub Date: 2023-02-09DOI: 10.1007/s10519-023-10135-0
Daniel E Gustavson, Srishti Nayak, Peyton L Coleman, John R Iversen, Miriam D Lense, Reyna L Gordon, Hermine H Maes
{"title":"Heritability of Childhood Music Engagement and Associations with Language and Executive Function: Insights from the Adolescent Brain Cognitive Development (ABCD) Study.","authors":"Daniel E Gustavson, Srishti Nayak, Peyton L Coleman, John R Iversen, Miriam D Lense, Reyna L Gordon, Hermine H Maes","doi":"10.1007/s10519-023-10135-0","DOIUrl":"10.1007/s10519-023-10135-0","url":null,"abstract":"<p><p>Music engagement is a powerful, influential experience that often begins early in life. Music engagement is moderately heritable in adults (~ 41-69%), but fewer studies have examined genetic influences on childhood music engagement, including their association with language and executive functions. Here we explored genetic and environmental influences on music listening and instrument playing (including singing) in the baseline assessment of the Adolescent Brain Cognitive Development study. Parents reported on their 9-10-year-old children's music experiences (N = 11,876 children; N = 1543 from twin pairs). Both music measures were explained primarily by shared environmental influences. Instrument exposure (but not frequency of instrument engagement) was associated with language skills (r = .27) and executive functions (r = .15-0.17), and these associations with instrument engagement were stronger than those for music listening, visual art, or soccer engagement. These findings highlight the role of shared environmental influences between early music experiences, language, and executive function, during a formative time in development.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 3","pages":"189-207"},"PeriodicalIF":2.6,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10159991/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9464938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Behavior GeneticsPub Date : 2023-05-01Epub Date: 2023-04-26DOI: 10.1007/s10519-023-10142-1
Richard Watts, Lydia Rader, Justin Grant, Christopher G Filippi
{"title":"Genetic and Environmental Contributions to Subcortical Gray Matter Microstructure and Volume in the Developing Brain.","authors":"Richard Watts, Lydia Rader, Justin Grant, Christopher G Filippi","doi":"10.1007/s10519-023-10142-1","DOIUrl":"10.1007/s10519-023-10142-1","url":null,"abstract":"<p><p>Using baseline (ages 9-10) and two-year follow-up (ages 11-12) data from monozygotic and dizygotic twins enrolled in the longitudinal Adolescent Brain Cognitive Development<sup>SM</sup> Study, we investigated the genetic and environmental contributions to microstructure and volume of nine subcortical gray matter regions. Microstructure was assessed using diffusion MRI data analyzed using restriction spectrum imaging (RSI) and diffusion tensor imaging (DTI) models. The highest heritability estimates (estimate [95% confidence interval]) for microstructure were found using the RSI model in the pallidum (baseline: 0.859 [0.818, 0.889], follow-up: 0.835 [0.787, 0.871]), putamen (baseline: 0.859 [0.819, 0.889], follow-up: 0.874 [0.838, 0.902]), and thalamus (baseline: 0.855 [0.814, 0.887], follow-up: 0.819 [0.769, 0.857]). For volumes the corresponding regions were the caudate (baseline: 0.831 [0.688, 0.992], follow-up: 0.848 [0.701, 1.011]) and putamen (baseline: 0.906 [0.875, 0.914], follow-up: 0.906 [0.885, 0.923]). The subcortical regions displayed high genetic stability (rA = 0.743-1.000) across time and exhibited unique environmental correlations (rE = 0.194-0.610). Individual differences in both gray matter microstructure and volumes can be largely explained by additive genetic effects in this sample.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 3","pages":"208-218"},"PeriodicalIF":2.6,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154259/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9471372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Behavior GeneticsPub Date : 2023-05-01Epub Date: 2023-01-20DOI: 10.1007/s10519-023-10133-2
Emma C Johnson, Sarah E Paul, David A A Baranger, Alexander S Hatoum, Sarah M C Colbert, Shuyu Lin, Rachel Wolff, Aaron J Gorelik, Isabella Hansen, Nicole R Karcher, Ryan Bogdan, Arpana Agrawal
{"title":"Characterizing Alcohol Expectancies in the ABCD Study: Associations with Sociodemographic Factors, the Immediate Social Environment, and Genetic Propensities.","authors":"Emma C Johnson, Sarah E Paul, David A A Baranger, Alexander S Hatoum, Sarah M C Colbert, Shuyu Lin, Rachel Wolff, Aaron J Gorelik, Isabella Hansen, Nicole R Karcher, Ryan Bogdan, Arpana Agrawal","doi":"10.1007/s10519-023-10133-2","DOIUrl":"10.1007/s10519-023-10133-2","url":null,"abstract":"<p><p>Alcohol expectancies (AEs) are associated with likelihood of alcohol initiation and subsequent alcohol use disorders. It is unclear whether genetic predisposition to alcohol use and/or related traits contributes to shaping how one expects to feel when drinking alcohol. We used the Adolescent Brain Cognitive Development study to examine associations between genetic propensities (i.e., polygenic risk for problematic alcohol use, depression, risk-taking), sociodemographic factors (i.e., parent income), and the immediate social environment (i.e., peer use and disapproval toward alcohol) and positive and negative AEs in alcohol-naïve children (max analytic N = 5,352). Mixed-effect regression models showed that age, parental education, importance of the child's religious beliefs, adverse childhood experiences, and peer disapproval of alcohol use were associated with positive and/or negative AEs, to varying degrees. Overall, our results suggest several familial and psychosocial predictors of AEs but little evidence of contributions from polygenic liability to problematic alcohol use or related phenotypes.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 3","pages":"265-278"},"PeriodicalIF":2.6,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10159951/pdf/nihms-1882313.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9469787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Behavior GeneticsPub Date : 2023-05-01Epub Date: 2023-04-05DOI: 10.1007/s10519-023-10139-w
Jonathan Ahern, Wesley Thompson, Chun Chieh Fan, Robert Loughnan
{"title":"Comparing Pruning and Thresholding with Continuous Shrinkage Polygenic Score Methods in a Large Sample of Ancestrally Diverse Adolescents from the ABCD Study<sup>®</sup>.","authors":"Jonathan Ahern, Wesley Thompson, Chun Chieh Fan, Robert Loughnan","doi":"10.1007/s10519-023-10139-w","DOIUrl":"10.1007/s10519-023-10139-w","url":null,"abstract":"<p><p>Using individuals' genetic data researchers can generate Polygenic Scores (PS) that are able to predict risk for diseases, variability in different behaviors as well as anthropomorphic measures. This is achieved by leveraging models learned from previously published large Genome-Wide Association Studies (GWASs) associating locations in the genome with a phenotype of interest. Previous GWASs have predominantly been performed in European ancestry individuals. This is of concern as PS generated in samples with a different ancestry to the original training GWAS have been shown to have lower performance and limited portability, and many efforts are now underway to collect genetic databases on individuals of diverse ancestries. In this study, we compare multiple methods of generating PS, including pruning and thresholding and Bayesian continuous shrinkage models, to determine which of them is best able to overcome these limitations. To do this we use the ABCD Study, a longitudinal cohort with deep phenotyping on individuals of diverse ancestry. We generate PS for anthropometric and psychiatric phenotypes using previously published GWAS summary statistics and examine their performance in three subsamples of ABCD: African ancestry individuals (n = 811), European ancestry Individuals (n = 6703), and admixed ancestry individuals (n = 3664). We find that the single ancestry continuous shrinkage method, PRScs (CS), and the multi ancestry meta method, PRScsx Meta (CSx Meta), show the best performance across ancestries and phenotypes.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 3","pages":"292-309"},"PeriodicalIF":2.6,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655749/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9470815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Behavior GeneticsPub Date : 2023-05-01Epub Date: 2023-04-25DOI: 10.1007/s10519-023-10144-z
Sylia Wilson, Chun Chieh Fan, John Hewitt
{"title":"ABCD Behavior Genetics: Twin, Family, and Genomic Studies Using the Adolescent Brain Cognitive Development (ABCD) Study Dataset.","authors":"Sylia Wilson, Chun Chieh Fan, John Hewitt","doi":"10.1007/s10519-023-10144-z","DOIUrl":"10.1007/s10519-023-10144-z","url":null,"abstract":"","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 3","pages":"155-158"},"PeriodicalIF":2.6,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10833231/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9459514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Behavior GeneticsPub Date : 2023-05-01Epub Date: 2023-04-24DOI: 10.1007/s10519-023-10143-0
Chun Chieh Fan, Robert Loughnan, Sylia Wilson, John K Hewitt
{"title":"Genotype Data and Derived Genetic Instruments of Adolescent Brain Cognitive Development Study<sup>®</sup> for Better Understanding of Human Brain Development.","authors":"Chun Chieh Fan, Robert Loughnan, Sylia Wilson, John K Hewitt","doi":"10.1007/s10519-023-10143-0","DOIUrl":"10.1007/s10519-023-10143-0","url":null,"abstract":"<p><p>The data release of Adolescent Brain Cognitive Development<sup>®</sup> (ABCD) Study represents an extensive resource for investigating factors relating to child development and mental wellbeing. The genotype data of ABCD has been used extensively in the context of genetic analysis, including genome-wide association studies and polygenic score predictions. However, there are unique opportunities provided by ABCD genetic data that have not yet been fully tapped. The diverse genomic variability, the enriched relatedness among ABCD subsets, and the longitudinal design of the ABCD challenge researchers to perform novel analyses to gain deeper insight into human brain development. Genetic instruments derived from the ABCD genetic data, such as genetic principal components, can help to better control confounds beyond the context of genetic analyses. To facilitate the use genomic information in the ABCD for inference, we here detail the processing procedures, quality controls, general characteristics, and the corresponding resources in the ABCD genotype data of release 4.0.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 3","pages":"159-168"},"PeriodicalIF":2.6,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635818/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9471342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}