Now showing 1 - 10 of 25
  • 2018Journal Article
    [["dc.bibliographiccitation.journal","Molecular Psychiatry"],["dc.contributor.author","Hill, W. David"],["dc.contributor.author","Arslan, Ruben C."],["dc.contributor.author","Xia, Charley"],["dc.contributor.author","Luciano, Michelle"],["dc.contributor.author","Amador, Carmen"],["dc.contributor.author","Navarro, Pau"],["dc.contributor.author","Hayward, Caroline"],["dc.contributor.author","Nagy, Reka"],["dc.contributor.author","Porteous, David J."],["dc.contributor.author","McIntosh, Andrew M."],["dc.contributor.author","Deary, Ian J."],["dc.contributor.author","Haley, Chris S."],["dc.contributor.author","Penke, Lars"],["dc.date.accessioned","2018-02-22T11:13:56Z"],["dc.date.available","2018-02-22T11:13:56Z"],["dc.date.issued","2018"],["dc.description.abstract","Pedigree-based analyses of intelligence have reported that genetic differences account for 50-80% of the phenotypic variation. For personality traits these effects are smaller, with 34-48% of the variance being explained by genetic differences. However, molecular genetic studies using unrelated individuals typically report a heritability estimate of around 30% for intelligence and between 0 and 15% for personality variables. Pedigree-based estimates and molecular genetic estimates may differ because current genotyping platforms are poor at tagging causal variants, variants with low minor allele frequency, copy number variants, and structural variants. Using ~20,000 individuals in the Generation Scotland family cohort genotyped for ~700,000 single-nucleotide polymorphisms (SNPs), we exploit the high levels of linkage disequilibrium (LD) found in members of the same family to quantify the total effect of genetic variants that are not tagged in GWAS of unrelated individuals. In our models, genetic variants in low LD with genotyped SNPs explain over half of the genetic variance in intelligence, education, and neuroticism. By capturing these additional genetic effects our models closely approximate the heritability estimates from twin studies for intelligence and education, but not for neuroticism and extraversion. We then replicated our finding using imputed molecular genetic data from unrelated individuals to show that ~50% of differences in intelligence, and ~40% of the differences in education, can be explained by genetic effects when a larger number of rare SNPs are included. From an evolutionary genetic perspective, a substantial contribution of rare genetic variants to individual differences in intelligence, and education is consistent with mutation-selection balance."],["dc.identifier.doi","10.1038/s41380-017-0005-1"],["dc.identifier.pmid","29321673"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/15573"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/12427"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.relation.eissn","1476-5578"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Genomic analysis of family data reveals additional genetic effects on intelligence and personality"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]
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  • 2017Journal Article
    [["dc.bibliographiccitation.artnumber","e198"],["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.journal","Behavioral and Brain Sciences"],["dc.bibliographiccitation.lastpage","67"],["dc.bibliographiccitation.volume","40"],["dc.contributor.author","Arslan, Ruben C."],["dc.contributor.author","von Borell, Christoph J."],["dc.contributor.author","Ostner, Julia"],["dc.contributor.author","Penke, Lars"],["dc.date.accessioned","2020-12-10T15:22:18Z"],["dc.date.available","2020-12-10T15:22:18Z"],["dc.date.issued","2017"],["dc.description.abstract","Burkart et al. suggest that social learning can explain the cognitive positive manifold for social animals, including humans. We caution that simpler explanations of positive trait intercorrelations exist, such as genetic load. To test the suggested explanation's specificity, we also need to examine non-social species and traits, such as health, that are distal to cognitive abilities."],["dc.identifier.doi","10.1017/S0140525X16001588"],["dc.identifier.eissn","1469-1825"],["dc.identifier.issn","0140-525X"],["dc.identifier.pmid","29342654"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73343"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.status","final"],["dc.relation.eissn","1469-1825"],["dc.title","Negative results are needed to show the specific value of a cultural explanation for g"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2017Journal Article
    [["dc.bibliographiccitation.journal","Journal of Personality and Social Psychology"],["dc.contributor.author","Gerlach, Tanja M."],["dc.contributor.author","Arslan, Ruben C."],["dc.contributor.author","Schultze, Thomas"],["dc.contributor.author","Reinhard, Selina K."],["dc.contributor.author","Penke, Lars"],["dc.date.accessioned","2018-02-22T11:17:16Z"],["dc.date.available","2018-02-22T11:17:16Z"],["dc.date.issued","2017"],["dc.description.abstract","Although empirical research has investigated what we ideally seek in a romantic partner for decades, the crucial question of whether ideal partner preferences actually guide our mating decisions in real life has remained largely unanswered. One reason for this is the lack of designs that assess individuals' ideal partner preferences before entering a relationship and then follow up on them over an extended period. In the Göttingen Mate Choice Study (GMCS), a preregistered, large-scale online study, we used such a naturalistic prospective design. We investigated partner preferences across 4 preference domains in a large sample of predominantly heterosexual singles (N = 763, aged 18-40 years) and tracked these individuals across a period of 5 months upon a possible transition into romantic relationships. Attesting to their predictive validity, partner preferences prospectively predicted the characteristics of later partners. This was equally true for both sexes, except for vitality-attractiveness where men's preferences were more predictive of their later partners' standing on this dimension than women's. Self-perceived mate value did not moderate the preference-partner characteristics relations. Preferences proved to be relatively stable across the 5 months interval, yet were less stable for those who entered a relationship. Subgroup analyses using a newly developed indicator of preference adjustment toward (vs. away from) partner characteristics revealed that participants adjusted their preferences downward when partners fell short of initial preferences, but showed no consistent adjustment when partners exceeded them. Results and implications are discussed against the background of ongoing controversies in mate choice and romantic relationship research. (PsycINFO Database Record"],["dc.identifier.doi","10.1037/pspp0000170"],["dc.identifier.pmid","28921999"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/12430"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.eissn","1939-1315"],["dc.title","Predictive Validity and Adjustment of Ideal Partner Preferences Across the Transition Into Romantic Relationships"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]
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  • 2019Journal Article
    [["dc.bibliographiccitation.firstpage","517"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Evolution and Human Behavior"],["dc.bibliographiccitation.lastpage","525"],["dc.bibliographiccitation.volume","40"],["dc.contributor.author","Stern, Julia"],["dc.contributor.author","Arslan, Ruben C."],["dc.contributor.author","Gerlach, Tanja M."],["dc.contributor.author","Penke, Lars"],["dc.date.accessioned","2020-12-10T14:24:00Z"],["dc.date.available","2020-12-10T14:24:00Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1016/j.evolhumbehav.2019.08.005"],["dc.identifier.issn","1090-5138"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72098"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","No robust evidence for cycle shifts in preferences for men's bodies in a multiverse analysis: A response to"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2018Journal Article
    [["dc.bibliographiccitation.artnumber","20180092"],["dc.bibliographiccitation.issue","1873"],["dc.bibliographiccitation.journal","Proceedings. Biological sciences"],["dc.bibliographiccitation.volume","285"],["dc.contributor.author","Arslan, Ruben C."],["dc.contributor.author","Willführ, Kai P."],["dc.contributor.author","Frans, Emma M."],["dc.contributor.author","Verweij, Karin J. H."],["dc.contributor.author","Bürkner, Paul-Christian"],["dc.contributor.author","Myrskylä, Mikko"],["dc.contributor.author","Voland, Eckart"],["dc.contributor.author","Almqvist, Catarina"],["dc.contributor.author","Zietsch, Brendan P."],["dc.contributor.author","Penke, Lars"],["dc.date.accessioned","2018-03-09T07:01:07Z"],["dc.date.available","2018-03-09T07:01:07Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1098/rspb.2018.0092"],["dc.identifier.pmid","29467268"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/12971"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.eissn","1471-2954"],["dc.title","Relaxed selection and mutation accumulation are best studied empirically: reply to Woodley of Menieet al"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dspace.entity.type","Publication"]]
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  • 2021Journal Article
    [["dc.bibliographiccitation.firstpage","251524592098546"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Advances in Methods and Practices in Psychological Science"],["dc.bibliographiccitation.volume","4"],["dc.contributor.author","Reins, Louisa M."],["dc.contributor.author","Arslan, Ruben C."],["dc.contributor.author","Gerlach, Tanja M."],["dc.date.accessioned","2021-12-01T09:22:27Z"],["dc.date.available","2021-12-01T09:22:27Z"],["dc.date.issued","2021"],["dc.description.abstract","In psychological science, ego-centered social networks are assessed to investigate the patterning and development of social relationships. In this approach, a focal individual is typically asked to report the people they interact with in specific contexts and to provide additional information on those interaction partners and the relationships with them. Although ego-centered social networks hold considerable promise for investigating various interesting questions from psychology and beyond, their implementation can be challenging. This tutorial provides researchers with detailed instructions on how to set up a study involving ego-centered social networks online using the open-source software formr. By including a fully functional study template for the assessment of social networks and extensions to this design, we hope to equip researchers from different backgrounds with the tools necessary to collect social-network data tailored to their research needs."],["dc.identifier.doi","10.1177/2515245920985467"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94406"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.relation.eissn","2515-2467"],["dc.relation.issn","2515-2459"],["dc.title","Assessing Ego-Centered Social Networks in formr: A Tutorial"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2021Journal Article
    [["dc.bibliographiccitation.firstpage","175"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Psychological Methods"],["dc.bibliographiccitation.lastpage","185"],["dc.bibliographiccitation.volume","26"],["dc.contributor.author","Arslan, Ruben C."],["dc.contributor.author","Reitz, Anne K."],["dc.contributor.author","Driebe, Julie C."],["dc.contributor.author","Gerlach, Tanja M."],["dc.contributor.author","Penke, Lars"],["dc.date.accessioned","2021-06-01T10:50:32Z"],["dc.date.available","2021-06-01T10:50:32Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1037/met0000294"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/86696"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-425"],["dc.relation.eissn","1939-1463"],["dc.relation.issn","1082-989X"],["dc.title","Routinely randomize potential sources of measurement reactivity to estimate and adjust for biases in subjective reports."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2021Journal Article
    [["dc.bibliographiccitation.firstpage","441"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Personality and Social Psychology"],["dc.bibliographiccitation.lastpage","446"],["dc.bibliographiccitation.volume","121"],["dc.contributor.author","Arslan, Ruben C."],["dc.contributor.author","Driebe, Julie C."],["dc.contributor.author","Stern, Julia"],["dc.contributor.author","Gerlach, Tanja M."],["dc.contributor.author","Penke, Lars"],["dc.date.accessioned","2021-12-01T09:23:08Z"],["dc.date.available","2021-12-01T09:23:08Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1037/pspp0000390"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94571"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.relation.eissn","1939-1315"],["dc.relation.issn","0022-3514"],["dc.title","The evidence for good genes ovulatory shifts in Arslan et al. (2018) is mixed and uncertain."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]
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  • 2017Journal Article
    [["dc.bibliographiccitation.firstpage","12"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Psychophysiology"],["dc.bibliographiccitation.lastpage","23"],["dc.bibliographiccitation.volume","54"],["dc.contributor.author","Hess, Ursula"],["dc.contributor.author","Arslan, Ruben C."],["dc.contributor.author","Mauersberger, Heidi"],["dc.contributor.author","Blaison, Christophe"],["dc.contributor.author","Dufner, Michael"],["dc.contributor.author","Denissen, Jaap J. A."],["dc.contributor.author","Ziegler, Matthias"],["dc.date.accessioned","2018-11-07T10:29:16Z"],["dc.date.available","2018-11-07T10:29:16Z"],["dc.date.issued","2017"],["dc.description.abstract","Data from two studies were used to estimate the reliability of facial EMG when used to index facial mimicry (Study 1) or affective reactions to pictorial stimuli (Study 2). Results for individual muscle sites varied between muscles and depending on data treatment. For difference scores, acceptable internal consistencies were found only for corrugator supercilii, and test-retest reliabilities were low. For contrast measures describing patterns of reactions to stimuli, such as high zygomaticus major combined with low corrugator supercilii, acceptable internal consistencies were found for facial reactions to smiling faces and positive affective reactions to affiliative images (Study 2). Facial reactions to negative emotions (Study 1) and facial reactions to power and somewhat less to achievement imagery (Study 2) showed unsatisfactory internal consistencies. For contrast measures, good temporal stability over 24 months (Study 1) and 15 months (Study 2), respectively, was obtained. In Study 1, the effect of method factors such as mode of presentation was more reliable than the emotion effect. Overall, people's facial reactions to affective stimuli seem to be influenced by a variety of factors other than the emotion-eliciting element per se, which resulted in biased internal consistency estimates. However, the influence of these factors in turn seemed to be stable over time."],["dc.identifier.doi","10.1111/psyp.12676"],["dc.identifier.isi","000393549800003"],["dc.identifier.pmid","28000263"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/43604"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","1469-8986"],["dc.relation.issn","0048-5772"],["dc.title","Reliability of surface facial electromyography"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
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  • 2015Book Chapter
    [["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.lastpage","20"],["dc.contributor.author","Arslan, Ruben C."],["dc.contributor.author","Penke, Lars"],["dc.date.accessioned","2017-09-07T11:52:06Z"],["dc.date.available","2017-09-07T11:52:06Z"],["dc.date.issued","2015"],["dc.description.abstract","Evolutionary forces of selection, mutation, migration, and genetic drift interact to maintain heritable individual differences. Resolving the ostensible paradox posed by the fact that heritable differences in personality and intelligence, in spite of their links to mortality and fertility, have not been driven to fixation, is within the purview of evolutionary genetics. We introduce the tool kit available to psychologists who want to understand these forces. It assembles complementary tools from molecular and behavior genetics, as well as classical evolutionary psychology, including the study of genome-wide associations, paternal age effects, inbreeding depression, developmental stability, and of course twins and families. We identify an unfortunate lack of cross-pollination, but map ways in which these disciplines, which share a common evolutionary metatheory, could test the tacit assumptions inherent in much of our work. Although it may take some time and may in some cases be impossible to identify the causative genes behind individual differences, we make the case that understanding the evolutionary forces involved in their maintenance is a worthy task in its own right, permitting us to understand and predict the effects of changing mores, policy, and demographic trends."],["dc.identifier.doi","10.1002/9781119125563.evpsych245"],["dc.identifier.gro","3151162"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/7936"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.relation.doi","10.1002/9781119125563"],["dc.relation.isbn","978-1-11912-556-3"],["dc.relation.isbn","978-1-118-76399-5"],["dc.relation.ispartof","The Handbook of Evolutionary Psychology"],["dc.title","Evolutionary Genetics"],["dc.type","book_chapter"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","yes"],["dspace.entity.type","Publication"]]
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