Behavior Genetics最新文献

{"title":"Bidirectional Causal Associations Between Same-Sex Attraction and Psychological Distress: Testing Moderation and Mediation Effects.","authors":"Olakunle A Oginni, Kai X Lim, Qazi Rahman, Patrick Jern, Thalia C Eley, Frühling V Rijsdijk","doi":"10.1007/s10519-022-10130-x","DOIUrl":"10.1007/s10519-022-10130-x","url":null,"abstract":"<p><p>Only one study has examined bidirectional causality between sexual minority status (having same-sex attraction) and psychological distress. We combined twin and genomic data from 8700 to 9700 participants in the UK Twins Early Development Study cohort at ≈21 years to replicate and extend these bidirectional causal effects using separate unidirectional Mendelian Randomization-Direction of Causation models. We further modified these models to separately investigate sex differences, moderation by childhood factors (retrospectively-assessed early-life adversity and prospectively-assessed childhood gender nonconformity), and mediation by victimization. All analyses were carried out in OpenMx in R. Same-sex attraction causally influenced psychological distress with significant reverse causation (beta = 0.19 and 0.17; 95% CIs = 0.09, 0.29 and 0.08, 0.25 respectively) and no significant sex differences. The same-sex attraction → psychological distress causal path was partly mediated by victimization (12.5%) while the reverse causal path was attenuated by higher childhood gender nonconformity (moderation coefficient = -0.09, 95% CI: -0.13, -0.04).</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 2","pages":"118-131"},"PeriodicalIF":2.6,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922221/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10732355","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}

{"title":"Using the Flanker Task to Examine Genetic and Environmental Contributions in Inhibitory Control Across the Preschool Period.","authors":"I-Tzu Hung,&nbsp;Jody M Ganiban,&nbsp;Kimberly J Saudino","doi":"10.1007/s10519-022-10129-4","DOIUrl":"https://doi.org/10.1007/s10519-022-10129-4","url":null,"abstract":"<p><p>The limited research exploring genetic and environmental influences on inhibitory control (IC) in preschoolers has relied on parent ratings or simple delay tasks and has produced mixed results. The present study uses a cognitively-challenging Flanker task to examine genetic and environmental contributions to the development of early IC in a longitudinal sample of 310 same-sex twin pairs (123 MZ; 187 DZ; 51% female) assessed at ages 3, 4 and 5 years. IC was significantly heritable at each age (a²: age 3 = .36; age 4 = .36; age 5 = .35). Stability was entirely accounted for by genetic influences, and change was explained by genetic and nonshared environmental factors. No significant shared environmental influences were observed.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 2","pages":"132-142"},"PeriodicalIF":2.6,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9300782","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}

{"title":"Integrative Multi-omics Analysis of Childhood Aggressive Behavior.","authors":"Fiona A Hagenbeek,&nbsp;Jenny van Dongen,&nbsp;René Pool,&nbsp;Peter J Roetman,&nbsp;Amy C Harms,&nbsp;Jouke Jan Hottenga,&nbsp;Cornelis Kluft,&nbsp;Olivier F Colins,&nbsp;Catharina E M van Beijsterveldt,&nbsp;Vassilios Fanos,&nbsp;Erik A Ehli,&nbsp;Thomas Hankemeier,&nbsp;Robert R J M Vermeiren,&nbsp;Meike Bartels,&nbsp;Sébastien Déjean,&nbsp;Dorret I Boomsma","doi":"10.1007/s10519-022-10126-7","DOIUrl":"https://doi.org/10.1007/s10519-022-10126-7","url":null,"abstract":"<p><p>This study introduces and illustrates the potential of an integrated multi-omics approach in investigating the underlying biology of complex traits such as childhood aggressive behavior. In 645 twins (cases = 42%), we trained single- and integrative multi-omics models to identify biomarkers for subclinical aggression and investigated the connections among these biomarkers. Our data comprised transmitted and two non-transmitted polygenic scores (PGSs) for 15 traits, 78,772 CpGs, and 90 metabolites. The single-omics models selected 31 PGSs, 1614 CpGs, and 90 metabolites, and the multi-omics model comprised 44 PGSs, 746 CpGs, and 90 metabolites. The predictive accuracy for these models in the test (N = 277, cases = 42%) and independent clinical data (N = 142, cases = 45%) ranged from 43 to 57%. We observed strong connections between DNA methylation, amino acids, and parental non-transmitted PGSs for ADHD, Autism Spectrum Disorder, intelligence, smoking initiation, and self-reported health. Aggression-related omics traits link to known and novel risk factors, including inflammation, carcinogens, and smoking.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 2","pages":"101-117"},"PeriodicalIF":2.6,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922241/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10790893","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}

{"title":"A General Cognitive Ability Factor for the UK Biobank.","authors":"Camille Michèle Williams,&nbsp;Ghislaine Labouret,&nbsp;Tobias Wolfram,&nbsp;Hugo Peyre,&nbsp;Franck Ramus","doi":"10.1007/s10519-022-10127-6","DOIUrl":"https://doi.org/10.1007/s10519-022-10127-6","url":null,"abstract":"<p><p>UK Biobank participants do not have a high-quality measure of intelligence or polygenic scores (PGSs) of intelligence to simultaneously examine the genetic and neural underpinnings of intelligence. We created a standardized measure of general intelligence (g factor) relative to the UK population and estimated its quality. After running a GWAS of g on UK Biobank participants with a g factor of good quality and without neuroimaging data (N = 187,288), we derived a g PGS for UK Biobank participants with neuroimaging data. For individuals with at least one cognitive test, the g factor from eight cognitive tests (N = 501,650) explained 29% of the variance in cognitive test performance. The PGS for British individuals with neuroimaging data (N = 27,174) explained 7.6% of the variance in g. We provided high-quality g factor estimates for most UK Biobank participants and g factor PGSs for UK Biobank participants with neuroimaging data.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 2","pages":"85-100"},"PeriodicalIF":2.6,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10850119","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}

{"title":"Associations Between Attention Deficit Hyperactivity Disorder Symptom Dimensions and Disordered Eating Symptoms in Adolescence: A Population-Based Twin Study.","authors":"Zeynep Yilmaz,&nbsp;Mary J Quattlebaum,&nbsp;Pratiksha S Pawar,&nbsp;Laura M Thornton,&nbsp;Cynthia M Bulik,&nbsp;Kristin N Javaras,&nbsp;Shuyang Yao,&nbsp;Paul Lichtenstein,&nbsp;Henrik Larsson,&nbsp;Jessica H Baker","doi":"10.1007/s10519-022-10128-5","DOIUrl":"https://doi.org/10.1007/s10519-022-10128-5","url":null,"abstract":"<p><p>Although bivariate associations between attention-deficit/hyperactivity disorder (ADHD) and eating disorders in adolescent girls and boys have been previously identified, the mechanistic link underlying the symptom-level associations remains unclear. We evaluated shared genetic and environmental influences on ADHD symptoms and disordered eating in 819 female and 756 male twins from the Swedish TCHAD cohort using bivariate models. Common additive genetic and unique environmental effects accounted for majority of ADHD and disordered eating associations in a differential manner. For girls, the strongest genetic correlation was observed for cognitive/inattention problems-bulimia (0.54), with genetic factors accounting for 67% of the phenotypic correlation. For boys, the strongest genetic correlations were observed for conduct problems-bulimia and hyperactivity-bulimia (~ 0.54), accounting for 83% and 95% of the phenotypic correlation, respectively. As per our findings, the risk of comorbidity and shared genetics highlights the need for preventative measures and specialized treatment for ADHD and disordered eating in both sexes.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 2","pages":"143-153"},"PeriodicalIF":2.6,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167484/pdf/nihms-1896284.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10136882","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}

{"title":"Using Genomic Structural Equation Modeling to Partition the Genetic Covariance Between Birthweight and Cardiometabolic Risk Factors into Maternal and Offspring Components in the Norwegian HUNT Study.","authors":"Gunn-Helen Moen, Michel Nivard, Laxmi Bhatta, Nicole M Warrington, Cristen Willer, Bjørn Olav Åsvold, Ben Brumpton, David M Evans","doi":"10.1007/s10519-022-10116-9","DOIUrl":"10.1007/s10519-022-10116-9","url":null,"abstract":"<p><p>The Barker Hypothesis posits that adverse intrauterine environments result in fetal growth restriction and increased risk of cardiometabolic disease through developmental compensations. Here we introduce a new statistical model using the genomic SEM software that is capable of simultaneously partitioning the genetic covariation between birthweight and cardiometabolic traits into maternally mediated and offspring mediated contributions. We model the covariance between birthweight and later life outcomes, such as blood pressure, non-fasting glucose, blood lipids and body mass index in the Norwegian HUNT study, consisting of 15,261 mother-eldest offspring pairs with genetic and phenotypic data. Application of this model showed some evidence for maternally mediated effects of systolic blood pressure on offspring birthweight, and pleiotropy between birthweight and non-fasting glucose mediated through the offspring genome. This underscores the importance of genetic links between birthweight and cardiometabolic phenotypes and offer alternative explanations to environmentally based hypotheses for the phenotypic correlation between these variables.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 1","pages":"40-52"},"PeriodicalIF":2.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823066/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10790880","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}

{"title":"Genetic and Environmental Variation in Continuous Phenotypes in the ABCD Study®.","authors":"Hermine H M Maes, Dana M Lapato, J Eric Schmitt, Monica Luciana, Marie T Banich, James M Bjork, John K Hewitt, Pamela A Madden, Andrew C Heath, Deanna M Barch, Wes K Thompson, William G Iacono, Michael C Neale","doi":"10.1007/s10519-022-10123-w","DOIUrl":"10.1007/s10519-022-10123-w","url":null,"abstract":"<p><p>Twin studies yield valuable insights into the sources of variation, covariation and causation in human traits. The ABCD Study® (abcdstudy.org) was designed to take advantage of four universities known for their twin research, neuroimaging, population-based sampling, and expertise in genetic epidemiology so that representative twin studies could be performed. In this paper we use the twin data to: (i) provide initial estimates of heritability for the wide range of phenotypes assessed in the ABCD Study using a consistent direct variance estimation approach, assuring that both data and methodology are sound; and (ii) provide an online resource for researchers that can serve as a reference point for future behavior genetic studies of this publicly available dataset. Data were analyzed from 772 pairs of twins aged 9-10 years at study inception, with zygosity determined using genotypic data, recruited and assessed at four twin hub sites. The online tool provides twin correlations and both standardized and unstandardized estimates of additive genetic, and environmental variation for 14,500 continuously distributed phenotypic features, including: structural and functional neuroimaging, neurocognition, personality, psychopathology, substance use propensity, physical, and environmental trait variables. The estimates were obtained using an unconstrained variance approach, so they can be incorporated directly into meta-analyses without upwardly biasing aggregate estimates. The results indicated broad consistency with prior literature where available and provided novel estimates for phenotypes without prior twin studies or those assessed at different ages. Effects of site, self-identified race/ethnicity, age and sex were statistically controlled. Results from genetic modeling of all 53,172 continuous variables, including 38,672 functional MRI variables, will be accessible via the user-friendly open-access web interface we have established, and will be updated as new data are released from the ABCD Study. This paper provides an overview of the initial results from the twin study embedded within the ABCD Study, an introduction to the primary research domains in the ABCD study and twin methodology, and an evaluation of the initial findings with a focus on data quality and suitability for future behavior genetic studies using the ABCD dataset. The broad introductory material is provided in recognition of the multidisciplinary appeal of the ABCD Study. While this paper focuses on univariate analyses, we emphasize the opportunities for multivariate, developmental and causal analyses, as well as those evaluating heterogeneity by key moderators such as sex, demographic factors and genetic background.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 1","pages":"1-24"},"PeriodicalIF":2.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823057/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10735919","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}

{"title":"Genetic Analysis of the Stereotypic Phenotype in Peromyscus maniculatus (deer mice).","authors":"Shannon W Davis,&nbsp;Hippokratis Kiaris,&nbsp;Vimala Kaza,&nbsp;Michael R Felder","doi":"10.1007/s10519-022-10124-9","DOIUrl":"https://doi.org/10.1007/s10519-022-10124-9","url":null,"abstract":"<p><p>Peromyscus maniculatus, including the laboratory stock BW, have been used as a model organism for autism spectrum disorder and obsessive-compulsive disorder because of the high occurrence of stereotypy. Several studies have identified neurological and environmental components of the phenotype; however, the heritability of the phenotype has not been examined. This study characterizes the incidence and heritability of vertical jumping stereotypy (VS) and backflipping (BF) behavior in the BW stock of the Peromyscus Genetic Stock Center, which are indicative of autism spectrum disorders. In addition, interspecies crosses between P. maniculatus and P. polionotus were also performed to further dissect genetically stereotypic behavior. The inheritance pattern of VS suggests that multiple genes result in a quantitative trait with low VS being dominant over high VS. The inheritance pattern of BF suggests that fewer genes are involved, with one allele causing BF in a dominant fashion. An association analysis in BW could reveal the underlying genetic loci associated with stereotypy in P. maniculatus, especially for the BF behavior.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 1","pages":"53-62"},"PeriodicalIF":2.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9285366","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}

{"title":"MR-DoC2: Bidirectional Causal Modeling with Instrumental Variables and Data from Relatives.","authors":"Luis F S Castro-de-Araujo, Madhurbain Singh, Yi Zhou, Philip Vinh, Brad Verhulst, Conor V Dolan, Michael C Neale","doi":"10.1007/s10519-022-10122-x","DOIUrl":"10.1007/s10519-022-10122-x","url":null,"abstract":"<p><p>Establishing causality is an essential step towards developing interventions for psychiatric disorders, substance use and many other conditions. While randomized controlled trials (RCTs) are considered the gold standard for causal inference, they are unethical in many scenarios. Mendelian randomization (MR) can be used in such cases, but importantly both RCTs and MR assume unidirectional causality. In this paper, we developed a new model, MRDoC2, that can be used to identify bidirectional causation in the presence of confounding due to both familial and non-familial sources. Our model extends the MRDoC model (Minică et al. in Behav Genet 48:337-349,  https://doi.org/10.1007/s10519-018-9904-4 , 2018), by simultaneously including risk scores for each trait. Furthermore, the power to detect causal effects in MRDoC2 does not require the phenotypes to have different additive genetic or shared environmental sources of variance, as is the case in the direction of causation twin model (Heath et al. in Behav Genet 23:29-50,  https://doi.org/10.1007/BF01067552 , 1993).</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 1","pages":"63-73"},"PeriodicalIF":2.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823046/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9328468","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}

{"title":"Differences in Parenting Behavior are Systematic Sources of the Non-shared Environment for Internalizing and Externalizing Problem Behavior.","authors":"Amelie Nikstat,&nbsp;Rainer Riemann","doi":"10.1007/s10519-022-10125-8","DOIUrl":"https://doi.org/10.1007/s10519-022-10125-8","url":null,"abstract":"<p><p>Although there is evidence for non-shared environmental links between parenting and problem behavior, so far, age-, informant-, and parent-specific patterns for both internalizing and externalizing problem behaviors have not been examined within one study yet. Using the twin differences design, the present study aimed to test how maternal and paternal parenting systematically act as a source of non-shared environment for problem behavior across different age groups and informants. We examined 1327 monozygotic twin pairs and their parents drawn from three birth cohorts of the German TwinLife study. Our results revealed that particularly child-reported less positive and more negative parenting by both parents contribute significantly to the unique environmental variance of problem behavior, although we did not find a clear pattern across age groups. Our study underlines the necessity of controlling for genetic confounding to uncover the truly environmentally mediated (and thus environmentally influenceable) pathways between parenting and problem behavior. A practical implication could be that it may be useful to primarily consider the child's perspective and focus on maternal as well as paternal parenting in interventions that address parenting to reduce problem behavior.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"53 1","pages":"25-39"},"PeriodicalIF":2.6,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823082/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10735131","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}