Behavior Genetics最新文献

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). 行为遗传学协会成员年度业务会议记录。2024 年 6 月 29 日 11:50-13:00，地点：伦敦布什宫（英国）。

IF 2.6 4区医学

Behavior Genetics Pub Date : 2024-10-01 DOI: 10.1007/s10519-024-10198-7

Christina Hewitt

引用次数: 0

Correction: Alcohol Use Disorder Polygenic Risk Scores and Trajectories of Early Adolescent Externalizing Behaviors: Examining the Role of Parenting and Family Conflict in the Racially/Ethnically Diverse ABCD Sample. 更正：酒精使用障碍多基因风险评分与青少年早期外化行为轨迹：在种族/族裔多元化的 ABCD 样本中考察养育子女和家庭冲突的作用。

IF 2.6 4区医学

Behavior Genetics Pub Date : 2024-09-30 DOI: 10.1007/s10519-024-10201-1

Angel D Trevino, Belal Jamil, Jinni Su, Fazil Aliev, Kit K Elam, Kathryn Lemery-Chalfant

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Do Children Cause the Cognitive Stimulation they Receive? Modelling the Direction of Causality 儿童接受的认知刺激是因果关系吗？因果关系方向建模

IF 2.6 4区医学

Behavior Genetics Pub Date : 2024-09-10 DOI: 10.1007/s10519-024-10195-w

Alexandra Starr, Olakunle Oginni, Sophie von Stumm

引用次数: 0

Correction: Associations Between Adolescent Pain and Psychopathology in the Adolescent Brain Cognitive Development (ABCD) Study. 更正：青少年脑认知发展（ABCD）研究中青少年疼痛与精神病理学之间的关联。

IF 2.6 4区医学

Behavior Genetics Pub Date : 2024-09-01 DOI: 10.1007/s10519-024-10191-0

Lydia Rader, Samantha M Freis, Naomi P Friedman

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Cognitive Polygenic Index is Associated with Occupational Complexity over and above Brain Morphometry. 认知多基因指数与职业复杂性的关系超过了脑形态测量。

IF 2.6 4区医学

Behavior Genetics Pub Date : 2024-09-01 Epub Date: 2024-08-20 DOI: 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":"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, R2 = 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, R2 = 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, R2 = 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.","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":null,"pages":null},"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}

引用次数: 0

Exploring the Asymmetric Body's Influence on Interval Timing Behaviors of Drosophila melanogaster. 探索非对称身体对黑腹果蝇时间间隔行为的影响

IF 2.6 4区医学

Behavior Genetics Pub Date : 2024-09-01 Epub Date: 2024-08-12 DOI: 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":"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 GAL4R38D01-labeled AB neurons disrupts both LMD and SMD, while GAL4R42C09 neuron inhibition affects only LMD. Moreover, hyperexcitation of GAL4R72A10-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.","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":null,"pages":null},"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}

引用次数: 0

Partitioning the Genomic Components of Behavioral Disinhibition and Substance Use (Disorder) Using Genomic Structural Equation Modeling. 利用基因组结构方程模型划分行为抑制和药物使用（障碍）的基因组成分。

IF 2.6 4区医学

Behavior Genetics Pub Date : 2024-09-01 Epub Date: 2024-07-09 DOI: 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":"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 (rg = 0.803). BD correlated strongly with the SUD (rg = 0.774) and SUB (rg = 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 rg = 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.","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":null,"pages":null},"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}

引用次数: 0

Correction: Principal Component Analysis Reduces Collider Bias in Polygenic Score Effect Size Estimation. 更正：主成分分析减少了多基因分数效应大小估计中的对撞机偏差。

IF 2.6 4区医学

Behavior Genetics Pub Date : 2024-09-01 DOI: 10.1007/s10519-024-10192-z

Nathaniel S Thomas, Peter Barr, Fazil Aliev, Mallory Stephenson, Sally I-Chun Kuo, Grace Chan, Danielle M Dick, Howard J Edenberg, Victor Hesselbrock, Chella Kamarajan, Samuel Kuperman, Jessica E Salvatore

引用次数: 0

A Bivariate Twin Study of Lifetime cannabis Initiation and Lifetime Regular Tobacco Smoking Across Three Different Countries. 三个不同国家终生开始吸食大麻和终生经常吸烟的双变量双胞胎研究。

IF 2.6 4区医学

Behavior Genetics Pub Date : 2024-09-01 Epub Date: 2024-07-30 DOI: 10.1007/s10519-024-10190-1

Stephanie Zellers, Jenny van Dongen, Hermine H M Maes, Miina Ollikainen, Fang Fang, Scott Vrieze, Jaakko Kaprio, Dorret I Boomsma

{"title":"A Bivariate Twin Study of Lifetime cannabis Initiation and Lifetime Regular Tobacco Smoking Across Three Different Countries.","authors":"Stephanie Zellers, Jenny van Dongen, Hermine H M Maes, Miina Ollikainen, Fang Fang, Scott Vrieze, Jaakko Kaprio, Dorret I Boomsma","doi":"10.1007/s10519-024-10190-1","DOIUrl":"10.1007/s10519-024-10190-1","url":null,"abstract":"Regular cigarette smoking and cannabis consumption are strongly positively related to each other, yet few studies explore their underlying variation and covariation. We evaluated the genetic and environmental decomposition of variance and covariance of these two traits in twin data from three countries with different social norms and legislation. Data from the Netherlands Twin Register, FinnTwin12/16, and the Minnesota Center for Twin Family Research (total N = 21,617) were analyzed in bivariate threshold models of lifetime regular smoking initiation (RSI) and lifetime cannabis initiation (CI). We ran unstratified models and models stratified by sex and country. Prevalence of RSI was lowest in the Netherlands and prevalence of CI was highest in Minnesota. In the unstratified model, genetic (A) and common environmental factors (C) contributed substantially to the liabilities of RSI (A = 0.47, C = 0.34) and CI (A = 0.28, C = 0.51). The two liabilities were significantly phenotypically (rP = 0.56), genetically (rA = 0.74), and environmentally correlated in the unstratified model (rC = 0.47and rE = 0.48, representing correlations between common and unique environmental factors). The magnitude of phenotypic correlation between liabilities varied by country but not sex (Minnesota rP ~ 0.70, Netherlands rP ~ 0.59, Finland rP ~ 0.45). Comparisons of decomposed correlations could not be reliably tested in the stratified models. The prevalence and association of RSI and CI vary by sex and country. These two behaviors are correlated because there is genetic and environmental overlap between their underlying latent liabilities. There is heterogeneity in the genetic architecture of these traits across country.","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11371858/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141791729","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}

引用次数: 0

Calculating Within-Pair Difference Scores in the Co-twin Control Design. Effects of Alternative Strategies. 在同卵双胞对照设计中计算对内差分。替代策略的效果。

IF 2.6 4区医学

Behavior Genetics Pub Date : 2024-09-01 Epub Date: 2024-08-23 DOI: 10.1007/s10519-024-10196-9

Juan J Madrid-Valero, Brad Verhulst, José A López-López, Juan R Ordoñana

{"title":"Calculating Within-Pair Difference Scores in the Co-twin Control Design. Effects of Alternative Strategies.","authors":"Juan J Madrid-Valero, Brad Verhulst, José A López-López, Juan R Ordoñana","doi":"10.1007/s10519-024-10196-9","DOIUrl":"10.1007/s10519-024-10196-9","url":null,"abstract":"Co-twin studies are an elegant and powerful design that allows controlling for the effect of confounding variables, including genetic and a range of environmental factors. There are several approaches to carry out this design. One of the methods commonly used, when contrasting continuous variables, is to calculate difference scores between members of a twin pair on two associated variables, in order to analyse the covariation of such differences. However, information regarding whether and how the different ways of estimating within-pair difference scores may impact the results is scant. This study aimed to compare the results obtained by different methods of data transformation when performing a co-twin study and test how the magnitude of the association changes using each of those approaches. Data was simulated using a direction of causation model and by fixing the effect size of causal path to low, medium, and high values. Within-pair difference scores were calculated as relative scores for diverse within-pair ordering conditions or absolute scores. Pearson's correlations using relative difference scores vary across the established scenarios (how twins were ordered within pairs) and these discrepancies become larger as the within-twin correlation increases. Absolute difference scores tended to produce the lowest correlation in every condition. Our results show that both using absolute difference scores or ordering twins within pairs, may produce an artificial decrease in the magnitude of the studied association, obscuring the ability to detect patterns compatible with causation, which could lead to discrepancies across studies and erroneous conclusions.","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":null,"pages":null},"PeriodicalIF":2.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11371853/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142035114","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}

引用次数: 0