Behavior GeneticsPub Date : 2022-10-26DOI: 10.1007/s10519-022-10121-y
{"title":"Minutes of the Annual Business Meeting of the Members of the BEHAVIOR GENETICS ASSOCIATION","authors":"","doi":"10.1007/s10519-022-10121-y","DOIUrl":"https://doi.org/10.1007/s10519-022-10121-y","url":null,"abstract":"","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"52 1","pages":"339 - 342"},"PeriodicalIF":2.6,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48973816","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 : 2022-10-26DOI: 10.1007/s10519-022-10120-z
{"title":"Awards Presented at the 52nd Annual Meeting of the Behavior Genetics Association June 25 2022","authors":"","doi":"10.1007/s10519-022-10120-z","DOIUrl":"https://doi.org/10.1007/s10519-022-10120-z","url":null,"abstract":"","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"52 1","pages":"406 - 406"},"PeriodicalIF":2.6,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43514882","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 : 2022-10-01DOI: 10.1007/s10519-022-10115-w
Jared V. Balbona, Yongkang Kim, Matt Keller, J. Hewitt
{"title":"Announcement of the Fulker Award for a Paper Published in Behavior Genetics, Volume 51, 2021","authors":"Jared V. Balbona, Yongkang Kim, Matt Keller, J. Hewitt","doi":"10.1007/s10519-022-10115-w","DOIUrl":"https://doi.org/10.1007/s10519-022-10115-w","url":null,"abstract":"","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"52 1","pages":"407 - 408"},"PeriodicalIF":2.6,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46457563","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 : 2022-09-01Epub Date: 2022-06-08DOI: 10.1007/s10519-022-10104-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
{"title":"Principal Component Analysis Reduces Collider Bias in Polygenic Score Effect Size Estimation.","authors":"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","doi":"10.1007/s10519-022-10104-z","DOIUrl":"10.1007/s10519-022-10104-z","url":null,"abstract":"<p><p>In this study, we test principal component analysis (PCA) of measured confounders as a method to reduce collider bias in polygenic association models. We present results from simulations and application of the method in the Collaborative Study of the Genetics of Alcoholism (COGA) sample with a polygenic score for alcohol problems, DSM-5 alcohol use disorder as the target phenotype, and two collider variables: tobacco use and educational attainment. Simulation results suggest that assumptions regarding the correlation structure and availability of measured confounders are complementary, such that meeting one assumption relaxes the other. Application of the method in COGA shows that PC covariates reduce collider bias when tobacco use is used as the collider variable. Application of this method may improve PRS effect size estimation in some cases by reducing the effect of collider bias, making efficient use of data resources that are available in many studies.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"52 4-5","pages":"268-280"},"PeriodicalIF":2.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103419/pdf/nihms-1884763.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9689050","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 : 2022-09-01Epub Date: 2022-07-06DOI: 10.1007/s10519-022-10107-w
David Hugh-Jones, Abdel Abdellaoui
{"title":"Human Capital Mediates Natural Selection in Contemporary Humans.","authors":"David Hugh-Jones, Abdel Abdellaoui","doi":"10.1007/s10519-022-10107-w","DOIUrl":"10.1007/s10519-022-10107-w","url":null,"abstract":"<p><p>Natural selection has been documented in contemporary humans, but little is known about the mechanisms behind it. We test for natural selection through the association between 33 polygenic scores and fertility, across two generations, using data from UK Biobank (N = 409,629 British subjects with European ancestry). Consistently over time, polygenic scores that predict higher earnings, education and health also predict lower fertility. Selection effects are concentrated among lower SES groups, younger parents, people with more lifetime sexual partners, and people not living with a partner. The direction of natural selection is reversed among older parents, or after controlling for age at first live birth. These patterns are in line with the economic theory of fertility, in which earnings-increasing human capital may either increase or decrease fertility via income and substitution effects in the labour market. Studying natural selection can help us understand the genetic architecture of health outcomes: we find evidence in modern day Great Britain for multiple natural selection pressures that vary between subgroups in the direction and strength of their effects, that are strongly related to the socio-economic system, and that may contribute to health inequalities across income groups.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"52 4-5","pages":"205-234"},"PeriodicalIF":2.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463317/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10615604","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 : 2022-09-01DOI: 10.1007/s10519-022-10110-1
David Hugh-Jones, Abdel Abdellaoui
{"title":"Correction: Human Capital Mediates Natural Selection in Contemporary Humans.","authors":"David Hugh-Jones, Abdel Abdellaoui","doi":"10.1007/s10519-022-10110-1","DOIUrl":"https://doi.org/10.1007/s10519-022-10110-1","url":null,"abstract":"","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":" ","pages":"235"},"PeriodicalIF":2.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463334/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40639899","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 : 2022-09-01Epub Date: 2022-08-21DOI: 10.1007/s10519-022-10112-z
Sarah E Latchney, Marcell D Cadney, Austin Hopkins, Theodore Garland
{"title":"DNA Methylation Analysis of Imprinted Genes in the Cortex and Hippocampus of Cross-Fostered Mice Selectively Bred for Increased Voluntary Wheel-Running.","authors":"Sarah E Latchney, Marcell D Cadney, Austin Hopkins, Theodore Garland","doi":"10.1007/s10519-022-10112-z","DOIUrl":"10.1007/s10519-022-10112-z","url":null,"abstract":"<p><p>We have previously shown that high runner (HR) mice (from a line genetically selected for increased wheel-running behavior) have distinct, genetically based, neurobiological phenotypes as compared with non-selected control (C) mice. However, developmental programming effects during early life, including maternal care and parent-of-origin-dependent expression of imprinted genes, can also contribute to variation in physical activity. Here, we used cross-fostering to address two questions. First, do HR mice have altered DNA methylation profiles of imprinted genes in the brain compared to C mice? Second, does maternal upbringing further modify the DNA methylation status of these imprinted genes? To address these questions, we cross-fostered all offspring at birth to create four experimental groups: C pups to other C dams, HR pups to other HR dams, C pups to HR dams, and HR pups to C dams. Bisulfite sequencing of 16 imprinted genes in the cortex and hippocampus revealed that the HR line had altered DNA methylation patterns of the paternally imprinted genes, Rasgrf1 and Zdbf2, as compared with the C line. Both fostering between the HR and C lines and sex modified the DNA methylation profiles for the paternally expressed genes Mest, Peg3, Igf2, Snrpn, and Impact. Ig-DMR, a gene with multiple paternal and maternal imprinted clusters, was also affected by maternal upbringing and sex. Our results suggest that differential methylation patterns of imprinted genes in the brain could contribute to evolutionary increases in wheel-running behavior and are also dependent on maternal upbringing and sex.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"52 4-5","pages":"281-297"},"PeriodicalIF":2.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463359/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9181845","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 : 2022-09-01Epub Date: 2022-07-22DOI: 10.1007/s10519-022-10109-8
Joëlle A Pasman, Zeli Chen, Dirk J A Smit, Jacqueline M Vink, Michel C Van Den Oever, Tommy Pattij, Taco J De Vries, Abdel Abdellaoui, Karin J H Verweij
{"title":"The CADM2 Gene and Behavior: A Phenome-Wide Scan in UK-Biobank.","authors":"Joëlle A Pasman, Zeli Chen, Dirk J A Smit, Jacqueline M Vink, Michel C Van Den Oever, Tommy Pattij, Taco J De Vries, Abdel Abdellaoui, Karin J H Verweij","doi":"10.1007/s10519-022-10109-8","DOIUrl":"10.1007/s10519-022-10109-8","url":null,"abstract":"<p><p>The cell adhesion molecule 2 (CADM2) gene has appeared among the top associations in a wide range of genome-wide association studies (GWASs). This study aims to: (1) examine how widespread the role of CADM2 is in behavioural traits, and (2) investigate trait-specific effects on CADM2 expression levels across tissues. We conducted a phenome-wide association study in UK Biobank (N = 12,211-453,349) on 242 psycho-behavioral traits, both at the SNP and the gene-level. For comparison, we repeated the analyses for other large (and high LD) genes. We found significant associations between CADM2 and 50 traits (including cognitive, risk taking, and dietary traits), many more than for the comparison genes. We show that many trait associations are reduced when taking geographical stratification into account. S-Predixcan revealed that CADM2 expression in brain tissues was significantly associated with many traits; highly significant effects were also observed for lung, mammary, and adipose tissues. In conclusion, this study shows that the role of CADM2 extends to a wide range of psycho-behavioral traits, suggesting these traits may share a common biological denominator.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":"52 4-5","pages":"306-314"},"PeriodicalIF":2.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463269/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10290077","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 : 2022-09-01Epub Date: 2022-08-25DOI: 10.1007/s10519-022-10111-0
Juan J Madrid-Valero, Juan F Sánchez-Romera, Jose M Martínez-Selva, Juan R Ordoñana
{"title":"Phenotypic, Genetic and Environmental Architecture of the Components of Sleep Quality.","authors":"Juan J Madrid-Valero, Juan F Sánchez-Romera, Jose M Martínez-Selva, Juan R Ordoñana","doi":"10.1007/s10519-022-10111-0","DOIUrl":"10.1007/s10519-022-10111-0","url":null,"abstract":"<p><p>The genetic and environmental underpinnings of sleep quality have been widely investigated. However, less is known about the etiology of the different sleep quality components and their associations. Subjective sleep quality has been studied most commonly using the Pittsburgh Sleep Quality Index (PSQI). Therefore, this work aimed to study the structure of sleep quality dimensions in a population-based twin sample by examining the etiology of the associations among the PSQI components themselves and between them. The sample comprised 2129 participants from the Murcia Twin Registry. In order to study the phenotypic, genetic and environmental structure of the PSQI we used three alternative multivariate twin models including all seven sub-scales of the PSQI (subjective sleep quality, latency, duration, efficiency, disturbances, use of sleeping medication and daytime dysfunction): a multivariate model (with seven separate correlated factors), a common pathway model and an independent pathway model. The multivariate correlated factors model showed the best fit to the data. All twin models indicated significant genetic overlap among most of the PSQI components, except daytime dysfunction and use of sleep medication. Bivariate heritability explained between 25 and 50% of the covariance for most associations between dimensions. Furthermore, the common pathway model showed that around one third of the variance (0.32; CI 95% 0.18.0.43) of a latent factor common to all questionnaire dimensions is explained by genetic factors. Genetic influences on a latent factor common to all questionnaire dimensions produced the same heritability estimates as the PSQI global score. However, sleep quality dimensions showed considerable specificity regarding its genetic-environmental structure.</p>","PeriodicalId":8715,"journal":{"name":"Behavior Genetics","volume":" ","pages":"236-245"},"PeriodicalIF":2.6,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463263/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40428186","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}