Behavior GeneticsPub Date : 2024-11-01DOI: 10.1007/s10519-024-10208-8
{"title":"Awards Presented at the 54th Annual Meeting of the Behavior Genetics Association, June 29th 2024, London, United Kingdom.","authors":"","doi":"10.1007/s10519-024-10208-8","DOIUrl":"https://doi.org/10.1007/s10519-024-10208-8","url":null,"abstract":"","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"54 6","pages":"476"},"PeriodicalIF":2.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142602967","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 : 2024-11-01DOI: 10.1007/s10519-024-10197-8
{"title":"Abstracts of the 54th Annual Meeting of the Behavior Genetics Association, London, UK : Program chair: Prof. Chandra Reynolds.","authors":"","doi":"10.1007/s10519-024-10197-8","DOIUrl":"10.1007/s10519-024-10197-8","url":null,"abstract":"","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":" ","pages":"479-596"},"PeriodicalIF":2.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142456952","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 : 2024-10-30DOI: 10.1007/s10519-024-10204-y
Jacob Knyspel, Geneviève Morneau-Vaillancourt, Thalia C Eley
{"title":"Using Bifactor Twin Modeling to Assess the Genetic and Environmental Dimensionality of Adult ADHD Symptoms.","authors":"Jacob Knyspel, Geneviève Morneau-Vaillancourt, Thalia C Eley","doi":"10.1007/s10519-024-10204-y","DOIUrl":"https://doi.org/10.1007/s10519-024-10204-y","url":null,"abstract":"<p><p>Attention Deficit Hyperactivity Disorder (ADHD) is a common and heritable neurodevelopmental condition that has been the subject of a wealth of genetics research. Because ADHD has an early age of onset, most of this work has focused on children, meaning that less is known about the genetics of ADHD in adults. Additionally, while much research has assessed the heritability of ADHD as a general dimension, less has assessed the heritability of individual subtypes (inattention, hyperactivity) or symptoms of ADHD. It therefore remains unclear whether the genetic factors underlying ADHD symptoms conform to a unidimensional or multidimensional structure. The aim of this study was to assess the genetic and environmental dimensionality of adult ADHD symptoms. We analyzed data from 10,454 twins of the Twins Early Development Study, who provided self-reports of ADHD symptoms using the Conners scale at age 21 years. The data conformed well to a psychometric bifactor model, providing support for a general dimension of ADHD in addition to secondary dimensions for inattention and hyperactivity. However, a bifactor independent pathway twin model provided support for a general dimension only at the level of non-shared environmental effects and not additive genetic or shared environmental effects. This suggests that symptoms of ADHD cluster together under a general dimension of non-shared environmental effects, although the two subtypes of ADHD (inattention and hyperactivity) are meaningfully genetically distinct. We found the overall heritability of ADHD to be 40%, comparable with previous estimates for adult ADHD symptoms. Our results provide useful insights into the genetic and environmental architecture of specific ADHD symptoms.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142543385","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 : 2024-10-05DOI: 10.1007/s10519-024-10199-6
John K Hewitt
{"title":"Announcement of the Editors' Choice Award (Formerly the Fulker Award) for a Paper Published in Behavior Genetics, Volume 53, 2023.","authors":"John K Hewitt","doi":"10.1007/s10519-024-10199-6","DOIUrl":"https://doi.org/10.1007/s10519-024-10199-6","url":null,"abstract":"","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142379055","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 : 2024-10-01DOI: 10.1007/s10519-024-10198-7
Christina Hewitt
{"title":"Minutes of the Annual Business Meeting of the Members of the Behavior Genetics Association. June 29, 2024, 11.50-13:00, Venue 'Bush House' London (United Kingdom).","authors":"Christina Hewitt","doi":"10.1007/s10519-024-10198-7","DOIUrl":"https://doi.org/10.1007/s10519-024-10198-7","url":null,"abstract":"","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":" ","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142340232","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 : 2024-09-10DOI: 10.1007/s10519-024-10195-w
Alexandra Starr, Olakunle Oginni, Sophie von Stumm
{"title":"Do Children Cause the Cognitive Stimulation they Receive? Modelling the Direction of Causality","authors":"Alexandra Starr, Olakunle Oginni, Sophie von Stumm","doi":"10.1007/s10519-024-10195-w","DOIUrl":"https://doi.org/10.1007/s10519-024-10195-w","url":null,"abstract":"<p>We tested the directionality of associations between children’s early-life cognitive development and the cognitive stimulation that they received from their parents. Our sample included up to 15,314 children from the Twins Early Development Study (TEDS), who were born between 1994 and 1996 in England and Wales and assessed at ages 3 and 4 years on cognitive development and cognitive stimulation, including singing rhymes, reading books, and playing games. Using genetically informative cross-lagged models, we found consistent, bidirectional effects from cognitive development at age 3 to cognitive stimulation at age 4, and from cognitive stimulation at age 3 to cognitive development at age 4. These cross-lagged longitudinal effects were largely explained by underlying common genetic and shared environmental factors, rather than reflecting causal mechanisms. Our findings emphasize the active role that children play in constructing their own learning experiences.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"8 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142188745","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 : 2024-09-01Epub Date: 2024-08-20DOI: 10.1007/s10519-024-10194-x
A Tsapanou, N Mourtzi, Y Gu, D W Belsky, S Barral, C Habeck, Yaakov Stern
{"title":"Cognitive Polygenic Index is Associated with Occupational Complexity over and above Brain Morphometry.","authors":"A Tsapanou, N Mourtzi, Y Gu, D W Belsky, S Barral, C Habeck, Yaakov Stern","doi":"10.1007/s10519-024-10194-x","DOIUrl":"10.1007/s10519-024-10194-x","url":null,"abstract":"<p><p>Although the impact of occupation on cognitive skills has been extensively studied, there is limited research examining if genetically predicted cognitive score may influence occupation. We examined the association between Cognitive Polygenic Index (PGI) and occupation, including the role of brain measures. Participants were recruited for the Reference Ability Neural Network and the Cognitive Reserve studies. Occupational complexity ratings for Data, People, or Things came from the Dictionary of Occupational Titles. A previously-created Cognitive PGI and linear regression models were used for the analyses. Age, sex, education, and the first 20 genetic Principal Components (PCs) of the sample were covariates. Total cortical thickness and total gray matter volume were further covariates. We included 168 white-ethnicity participants, 20-80 years old. After initial adjustment, higher Cognitive PGI was associated with higher Data complexity (B=-0.526, SE = 0.227, Beta= -0.526 p = 0.022, R<sup>2</sup> = 0.259) (lower score implies higher complexity). Associations for People or Things were not significant. After adding brain measures, association for Data remained significant (B=-0.496, SE: 0.245, Beta= -0.422, p = 0.045, R<sup>2</sup> = 0.254). Similarly, for a further, fully-adjusted analysis including all the three occupational complexity measures (B=-0.568, SE = 0.237, Beta= -0.483, p = 0.018, R<sup>2</sup> = 0.327). Cognitive genes were associated with occupational complexity over and above brain morphometry. Working with Data occupational complexity probably acquires higher cognitive status, which can be significantly genetically predetermined.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":" ","pages":"398-404"},"PeriodicalIF":2.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142003503","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 : 2024-09-01DOI: 10.1007/s10519-024-10191-0
Lydia Rader, Samantha M Freis, Naomi P Friedman
{"title":"Correction: Associations Between Adolescent Pain and Psychopathology in the Adolescent Brain Cognitive Development (ABCD) Study.","authors":"Lydia Rader, Samantha M Freis, Naomi P Friedman","doi":"10.1007/s10519-024-10191-0","DOIUrl":"10.1007/s10519-024-10191-0","url":null,"abstract":"","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":" ","pages":"436-438"},"PeriodicalIF":2.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141987348","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 : 2024-09-01Epub Date: 2024-08-12DOI: 10.1007/s10519-024-10193-y
Tianmu Zhang, Xiaoli Zhang, Dongyu Sun, Woo Jae Kim
{"title":"Exploring the Asymmetric Body's Influence on Interval Timing Behaviors of Drosophila melanogaster.","authors":"Tianmu Zhang, Xiaoli Zhang, Dongyu Sun, Woo Jae Kim","doi":"10.1007/s10519-024-10193-y","DOIUrl":"10.1007/s10519-024-10193-y","url":null,"abstract":"<p><p>The roles of brain asymmetry in Drosophila are diverse, encompassing the regulation of behavior, the creation of memory, neurodevelopment, and evolution. A comprehensive examination of the Drosophila brain has the potential to enhance our understanding of the functional significance of brain asymmetry in cognitive and behavioral processes, as well as its role in evolutionary perspectives. This study explores the influence of brain asymmetry on interval timing behaviors in Drosophila, with a specific focus on the asymmetric body (AB) structure. Despite being bilaterally symmetric, the AB exhibits functional asymmetry and is located within the central complex of the fly brain. Interval timing behaviors, such as rival-induced prolonged mating duration: longer mating duration behavior (LMD) and sexual experience-mediated shorter mating duration behavior (SMD), are essential for Drosophila. We utilize genetic manipulations to selectively activate or inhibit AB neurons and evaluates their impact on LMD and SMD behaviors. The results indicate that specific populations of AB neurons play unique roles in orchestrating these interval timing behaviors. Notably, inhibiting GAL4<sup>R38D01</sup>-labeled AB neurons disrupts both LMD and SMD, while GAL4<sup>R42C09</sup> neuron inhibition affects only LMD. Moreover, hyperexcitation of GAL4<sup>R72A10</sup>-labeled AB neurons perturbs SMD. Our study identifies NetrinB (NetB) and Abdominal-B (Abd-B) are important genes for AB neurons in LMD and highlights the role of 5-HT1B neurons in generating LMD through peptidergic Pigment-dispersing factor (PDF) signaling. In summary, this study underscores the importance of AB neuron asymmetry in mediating interval timing behaviors and provides insights into the underlying mechanisms of memory formation and function in Drosophila.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":" ","pages":"416-425"},"PeriodicalIF":2.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141916009","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 : 2024-09-01Epub Date: 2024-07-09DOI: 10.1007/s10519-024-10188-9
Tanya B Horwitz, Katerina Zorina-Lichtenwalter, Daniel E Gustavson, Andrew D Grotzinger, Michael C Stallings
{"title":"Partitioning the Genomic Components of Behavioral Disinhibition and Substance Use (Disorder) Using Genomic Structural Equation Modeling.","authors":"Tanya B Horwitz, Katerina Zorina-Lichtenwalter, Daniel E Gustavson, Andrew D Grotzinger, Michael C Stallings","doi":"10.1007/s10519-024-10188-9","DOIUrl":"10.1007/s10519-024-10188-9","url":null,"abstract":"<p><p>Externalizing behaviors encompass manifestations of risk-taking, self-regulation, aggression, sensation-/reward-seeking, and impulsivity. Externalizing research often includes substance use (SUB), substance use disorder (SUD), and other (non-SUB/SUD) \"behavioral disinhibition\" (BD) traits. Genome-wide and twin research have pointed to overlapping genetic architecture within and across SUB, SUD, and BD. We created single-factor measurement models-each describing SUB, SUD, or BD traits-based on mutually exclusive sets of European ancestry genome-wide association study (GWAS) statistics exploring externalizing variables. We then assessed the partitioning of genetic covariance among the three facets using correlated factors models and Cholesky decomposition. Even when the residuals for indicators relating to the same substance were correlated across the SUB and SUD factors, the two factors yielded a large correlation (r<sub>g</sub> = 0.803). BD correlated strongly with the SUD (r<sub>g</sub> = 0.774) and SUB (r<sub>g</sub> = 0.778) factors. In our initial decompositions, 33% of total BD variance remained after partialing out SUD and SUB. The majority of covariance between BD and SUB and between BD and SUD was shared across all factors, and, within these models, only a small fraction of the total variation in BD operated via an independent pathway with SUD or SUB outside of the other factor. When only nicotine/tobacco, cannabis, and alcohol were included for the SUB/SUD factors, their correlation increased to r<sub>g</sub> = 0.861; in corresponding decompositions, BD-specific variance decreased to 27%. Further research can better elucidate the properties of BD-specific variation by exploring its genetic/molecular correlates.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":" ","pages":"386-397"},"PeriodicalIF":2.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141562565","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}