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Million KM, Proffit MR, Reese SJ. Response to MHC-based olfactory cues in a mate choice context in two species of darter (Percidae: Etheostoma). Ecol Evol 2024; 14:e11025. [PMID: 38384826 PMCID: PMC10880076 DOI: 10.1002/ece3.11025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 12/01/2023] [Accepted: 12/02/2023] [Indexed: 02/23/2024] Open
Abstract
Mate choice is hypothesized to play an important role in maintaining high diversity at major histocompatibility complex (MHC) genes in vertebrates. Many studies have revealed that females across taxa prefer the scent of males with MHC genotypes different to their own. In this study we tested the "opposites-attract" hypothesis in two species of darter with known differences in female criteria used in mate choice: in the fantail darters (a paternal-care species), females prefer males with visual traits related to nest guarding and egg tending, while in rainbow darters (not a paternal-care species) female mate choice criteria are unknown. In dichotomous mate-choice trials, we presented females of both species with the scents of conspecific males with MHC class IIb genotypes that were either similar or dissimilar to that of the focal female. We evaluated the proportion of time each female spent with each male and calculated the average strength of female preference for both species. Female fantail darters demonstrated a preference for the scent of males with similar (rather than dissimilar) MHC genotypes, but this result was not statistically significant. Rainbow darter females showed no preference for the scent of males with similar or dissimilar MHC genotypes. Our results do not support the "opposites-attract" hypothesis in darters.
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Affiliation(s)
- Kara M. Million
- Department of BiologyIndiana UniversityBloomingtonIndianaUSA
| | - Melissa R. Proffit
- Department of BiologyIndiana UniversityBloomingtonIndianaUSA
- Present address:
Department of Ecology and Evolutionary BiologyUniversity of TennesseeKnoxvilleTennesseeUSA
| | - Sierra J. Reese
- Department of BiologyIndiana UniversityBloomingtonIndianaUSA
- Present address:
Department of BiologyUniversity of California, DavisDavisCaliforniaUSA
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2
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Fry JD. A reformulation of Fisher's runaway identifies the heritability of mate choices as a key parameter and highlights limitations of the hypothesis. Proc Biol Sci 2024; 291:20232366. [PMID: 38264777 PMCID: PMC10806399 DOI: 10.1098/rspb.2023.2366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/18/2023] [Indexed: 01/25/2024] Open
Abstract
Fisher proposed that female preference for mates with extreme traits could evolve as an essentially arbitrary outcome of a self-reinforcing process. Although Fisher's runaway has been shown to be a theoretical possibility, it is not clear whether it occurs in real populations, in part because existing models express the necessary conditions in terms of parameters that would be nearly impossible to estimate in the wild. Here, I reformulate models of the runaway in terms of two estimable parameters, the heritability and phenotypic variance of realized mate choices. Higher values of both quantities make the runaway more likely. In the most realistic model considered, in which mate choices are based on a mixture of absolute and relative criteria, a runaway cannot occur unless mate choice increases the variance of the male trait, which seems incompatible with the strong directional mating preferences typically observed in polygynous species. Even in the most favourable case for the runaway, purely relative preference without direct selection on preference, a substantial heritability of realized mate choices would be required if there is moderately strong stabilizing selection on the male trait. These results cast some doubt on whether the runaway is a plausible outcome in natural populations.
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Affiliation(s)
- James D. Fry
- Department of Biology, University of Rochester, Rochester, NY 14627, USA
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3
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Horwitz TB, Balbona JV, Paulich KN, Keller MC. Evidence of correlations between human partners based on systematic reviews and meta-analyses of 22 traits and UK Biobank analysis of 133 traits. Nat Hum Behav 2023; 7:1568-1583. [PMID: 37653148 DOI: 10.1038/s41562-023-01672-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 07/03/2023] [Indexed: 09/02/2023]
Abstract
Positive correlations between mates can increase trait variation and prevalence, as well as bias estimates from genetically informed study designs. While past studies of similarity between human mating partners have largely found evidence of positive correlations, to our knowledge, no formal meta-analysis has examined human partner correlations across multiple categories of traits. Thus, we conducted systematic reviews and random-effects meta-analyses of human male-female partner correlations across 22 traits commonly studied by psychologists, economists, sociologists, anthropologists, epidemiologists and geneticists. Using ScienceDirect, PubMed and Google Scholar, we incorporated 480 partner correlations from 199 peer-reviewed studies of co-parents, engaged pairs, married pairs and/or cohabitating pairs that were published on or before 16 August 2022. We also calculated 133 trait correlations using up to 79,074 male-female couples in the UK Biobank (UKB). Estimates of the 22 mean meta-analysed correlations ranged from rmeta = 0.08 (adjusted 95% CI = 0.03, 0.13) for extraversion to rmeta = 0.58 (adjusted 95% CI = 0.50, 0.64) for political values, with funnel plots showing little evidence of publication bias across traits. The 133 UKB correlations ranged from rUKB = -0.18 (adjusted 95% CI = -0.20, -0.16) for chronotype (being a 'morning' or 'evening' person) to rUKB = 0.87 (adjusted 95% CI = 0.86, 0.87) for birth year. Across analyses, political and religious attitudes, educational attainment and some substance use traits showed the highest correlations, while psychological (that is, psychiatric/personality) and anthropometric traits generally yielded lower but positive correlations. We observed high levels of between-sample heterogeneity for most meta-analysed traits, probably because of both systematic differences between samples and true differences in partner correlations across populations.
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Affiliation(s)
- Tanya B Horwitz
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA.
| | - Jared V Balbona
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Katie N Paulich
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA.
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4
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Wolfram T, Morris D. Conventional twin studies overestimate the environmental differences between families relevant to educational attainment. NPJ SCIENCE OF LEARNING 2023; 8:24. [PMID: 37460608 PMCID: PMC10352382 DOI: 10.1038/s41539-023-00173-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 07/04/2023] [Indexed: 07/20/2023]
Abstract
Estimates of shared environmental influence on educational attainment (EA) using the Classical Twin Design (CTD) have been enlisted as genetically sensitive measures of unequal opportunity. However, key assumptions of the CTD appear violated for EA. In this study we compared CTD estimates of shared environmental influence on EA with estimates from a Nuclear Twin and Family Design (NTFD) in the same 982 German families. Our CTD model estimated shared environmental influence at 43%. After accounting for assortative mating, our best fitting NTFD model estimated shared environmental influence at 26%, disaggregating this into twin-specific shared environments (16%) and environmental influences shared by all siblings (10%). Only the sibling shared environment captures environmental influences that reliably differ between families, suggesting the CTD substantially overestimates between-family differences in educational opportunity. Moreover, parental education was found to have no environmental effect on offspring education once genetic influences were accounted for.
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Affiliation(s)
- Tobias Wolfram
- Department of Sociology, University of Bielefeld, Niedersachen, Germany.
- Department of Sociology, ENSAE/CREST, Paris, France.
| | - Damien Morris
- Social, Genetic & Developmental Psychiatry Centre, King's College London, London, United Kingdom
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5
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Newman AV, Pollet TV, McCarty K, Neave N, Saxton TK. Consistency of Eye Coloration Across Different Relationship Partners. ARCHIVES OF SEXUAL BEHAVIOR 2023; 52:291-300. [PMID: 36260201 PMCID: PMC9859853 DOI: 10.1007/s10508-022-02450-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 10/06/2022] [Accepted: 10/07/2022] [Indexed: 06/16/2023]
Abstract
Studies have indicated that people are attracted to partners who resemble themselves or their parents, in terms of physical traits including eye color. We might anticipate this inclination to be relatively stable, giving rise to a sequential selection of similar partners who then represent an individual's "type". We tested this idea by examining whether people's sequential partners resembled each other at the level of eye color. We gathered details of the eye colors of the partners of participants (N = 579) across their adult romantic history (N = 3250 relationships), in three samples, comprising two samples which made use of self-reports from predominantly UK-based participants, and one which made use of publicly available information about celebrity relationship histories. Recorded partner eye colors comprised black (N = 39 partners), dark brown (N = 884), light brown (N = 393), hazel (N = 224), blue (N = 936), blue green (N = 245), grey (N = 34), and green (N = 229). We calculated the proportion of identical eye colors within each participant's relationship history, and compared that to 100,000 random permutations of our dataset, using t-tests to investigate if the eye color of partners across an individual's relationship history was biased relative to chance (i.e., if there was greater consistency, represented by higher calculated proportions of identical eye colors, in the original dataset than in the permutations). To account for possible eye color reporting errors and ethnic group matching, we ran the analyses restricted to White participants and to high-confidence eye color data; we then ran the analyses again in relation to the complete dataset. We found some limited evidence for some consistency of eye color across people's relationship histories in some of the samples only when using the complete dataset. We discuss the issues of small effect sizes, partner-report bias, and ethnic group matching in investigating partner consistency across time.
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Affiliation(s)
- Amy V Newman
- Department of Psychology, Northumbria University, Ellison Place, Newcastle-Upon-Tyne, NE1 8ST, UK.
| | - Thomas V Pollet
- Department of Psychology, Northumbria University, Ellison Place, Newcastle-Upon-Tyne, NE1 8ST, UK
| | - Kristofor McCarty
- Department of Psychology, Northumbria University, Ellison Place, Newcastle-Upon-Tyne, NE1 8ST, UK
| | - Nick Neave
- Department of Psychology, Northumbria University, Ellison Place, Newcastle-Upon-Tyne, NE1 8ST, UK
| | - Tamsin K Saxton
- Department of Psychology, Northumbria University, Ellison Place, Newcastle-Upon-Tyne, NE1 8ST, UK
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6
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Assortative mating on blood type: Evidence from one million Chinese pregnancies. Proc Natl Acad Sci U S A 2022; 119:e2209643119. [PMID: 36516065 PMCID: PMC9907139 DOI: 10.1073/pnas.2209643119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Blood type is one of the most fundamental phenotypes in biological, medical, and psychological studies. Using a unique dataset of one million Chinese pregnancies, we find strong evidence from a group of statistical tests for assortative mating on blood type. After controlling for anthropometric and socioeconomic confounders, assortative mating remains robust.
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7
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Segal NL, Hur YM. Personality traits, mental abilities and other individual differences: Monozygotic female twins raised apart in South Korea and the United States. PERSONALITY AND INDIVIDUAL DIFFERENCES 2022. [DOI: 10.1016/j.paid.2022.111643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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8
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Border R, O'Rourke S, de Candia T, Goddard ME, Visscher PM, Yengo L, Jones M, Keller MC. Assortative mating biases marker-based heritability estimators. Nat Commun 2022; 13:660. [PMID: 35115518 PMCID: PMC8814020 DOI: 10.1038/s41467-022-28294-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 01/14/2022] [Indexed: 11/09/2022] Open
Abstract
Many traits are subject to assortative mating, with recent molecular genetic findings confirming longstanding theoretical predictions that assortative mating induces long range dependence across causal variants. However, all marker-based heritability estimators implicitly assume mating is random. We provide mathematical and simulation-based evidence demonstrating that both method-of-moments and likelihood-based estimators are biased in the presence of assortative mating and derive corrected heritability estimators for traits subject to assortment. Finally, we demonstrate that the empirical patterns of estimates across methods and sample sizes for real traits subject to assortative mating are congruent with expected assortative mating-induced biases. For example, marker-based heritability estimates for height are 14% - 23% higher than corrected estimates using UK Biobank data.
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Affiliation(s)
- Richard Border
- Departments of Neurology and Computer Science, University of California, Los Angeles, California, USA. .,Institute for Behavioral Genetics, University of Colorado Boulder, Colorado, USA. .,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Massachusetts, USA.
| | - Sean O'Rourke
- Department of Mathematics, University of Colorado Boulder, Colorado, USA
| | - Teresa de Candia
- Institute for Behavioral Genetics, University of Colorado Boulder, Colorado, USA
| | - Michael E Goddard
- Faculty of Veterinary and Agricultural Science, University of Melbourne, Victoria, Australia.,Department of Economic Development, Jobs, Transport and Resources, Biosciences Research Division, Victoria, Australia
| | - Peter M Visscher
- Institute for Molecular Bioscience, University of Queensland, Saint Lucia, QLD, Australia
| | - Loic Yengo
- Institute for Molecular Bioscience, University of Queensland, Saint Lucia, QLD, Australia
| | - Matt Jones
- Department of Psychology and Neuroscience, University of Colorado Boulder, Colorado, USA
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado Boulder, Colorado, USA. .,Department of Psychology and Neuroscience, University of Colorado Boulder, Colorado, USA.
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9
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Karlsson O, Domingue BW, Kim R, Subramanian S. Estimating heritability in heights without zygosity information for under-five children in low- and middle-income countries: An application of normal finite mixture distribution model. SSM Popul Health 2022; 17:101043. [PMID: 35242993 PMCID: PMC8861393 DOI: 10.1016/j.ssmph.2022.101043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 02/02/2022] [Accepted: 02/03/2022] [Indexed: 11/26/2022] Open
Abstract
Twin studies are widely used to estimate heritability of traits and typically rely on knowing the zygosity of twin pairs in order to determine variation attributable to genetics. Most twin studies are conducted in high resource settings. Large scale household survey data, such as the Demographic and Health Surveys, collect various biomarkers for children under five years old in low- and middle-income countries. These data include twins but no information on zygosity. We applied mixture models to obtain heritability estimates without knowing zygosity of twins, using 249 Demographic and Health Surveys from 79 low- and middle-income countries (14,524 twin pairs). We focused on height of children, adjusted for age and sex, but also provided estimates for other biomarkers available in the data. We estimated that the heritability of height in our sample was 46%. Mixture model was used to obtain heritability estimates for biomarkers for children under five without zygosity information. 46% of height was determined by heritability. Heritability estimate was 0.54 for weight-for-age z-score and 0.51 for residualized weight. An implausible heritability estimate of 0.93 was found for weight-for-height z-score. Birthweight had a heritability estimate of 0.71 and hemoglobin level had a heritability estimate of 0.61.
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10
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Plomin R, von Stumm S. Polygenic scores: prediction versus explanation. Mol Psychiatry 2022; 27:49-52. [PMID: 34686768 PMCID: PMC8960389 DOI: 10.1038/s41380-021-01348-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 12/14/2022]
Abstract
During the past decade, polygenic scores have become a fast-growing area of research in the behavioural sciences. The ability to directly assess people's genetic propensities has transformed research by making it possible to add genetic predictors of traits to any study. The value of polygenic scores in the behavioural sciences rests on using inherited DNA differences to predict, from birth, common disorders and complex traits in unrelated individuals in the population. This predictive power of polygenic scores does not require knowing anything about the processes that lie between genes and behaviour. It also does not mandate disentangling the extent to which the prediction is due to assortative mating, genotype-environment correlation, or even population stratification. Although bottom-up explanation from genes to brain to behaviour will remain the long-term goal of the behavioural sciences, prediction is also a worthy achievement because it has immediate practical utility for identifying individuals at risk and is the necessary first step towards explanation. A high priority for research must be to increase the predictive power of polygenic scores to be able to use them as an early warning system to prevent problems.
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Affiliation(s)
- Robert Plomin
- Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
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11
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Vocational Personality in Romantic Relationships: How Vocational Similarity Contributes to Couple Functioning. CONTEMPORARY FAMILY THERAPY 2021. [DOI: 10.1007/s10591-021-09620-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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12
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Versluys TMM, Flintham EO, Mas-Sandoval A, Savolainen V. Why do we pick similar mates, or do we? Biol Lett 2021; 17:20210463. [PMID: 34813721 DOI: 10.1098/rsbl.2021.0463] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Humans often mate with those resembling themselves, a phenomenon described as positive assortative mating (PAM). The causes of this attract broad interest, but there is little agreement on the topic. This may be because empirical studies and reviews sometimes focus on just a few explanations, often based on disciplinary conventions. This review presents an interdisciplinary conceptual framework on the causes of PAM in humans, drawing on human and non-human biology, the social sciences, and the humanities. Viewing causality holistically, we first discuss the proximate causes (i.e. the 'how') of PAM, considering three mechanisms: stratification, convergence and mate choice. We also outline methods to control for confounders when studying mate choice. We then discuss ultimate explanations (i.e. 'the why') for PAM, including adaptive and non-adaptive processes. We conclude by suggesting a focus on interdisciplinarity in future research.
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Affiliation(s)
- Thomas M M Versluys
- Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, Berkshire SL5 7PY, United Kingdom
| | - Ewan O Flintham
- Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, Berkshire SL5 7PY, United Kingdom
| | - Alex Mas-Sandoval
- Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, Berkshire SL5 7PY, United Kingdom
| | - Vincent Savolainen
- Georgina Mace Centre for the Living Planet, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, Berkshire SL5 7PY, United Kingdom
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13
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Rios Moura R, Oliveira Gonzaga M, Silva Pinto N, Vasconcellos-Neto J, Requena GS. Assortative mating in space and time: patterns and biases. Ecol Lett 2021; 24:1089-1102. [PMID: 33617134 DOI: 10.1111/ele.13690] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 12/16/2020] [Accepted: 12/21/2020] [Indexed: 01/08/2023]
Abstract
Despite the important roles of assortative mating for understanding evolutionary processes, our knowledge on the variation in assortative mating across populations and breeding periods has been overshadowed by the greater attention given to general patterns. Obtaining data on mating pairs are difficult for most species; therefore, researchers often group data from different populations or breeding periods, which can increase positive biases in detecting and estimating assortative mating. We used a meta-analytic approach to investigate the biases caused by spatially or temporally pooling data and the assortative mating consistency across populations and breeding periods. We describe assortative mating patterns across and within animal taxa. We performed a systematic review to search studies reporting measures of size-assortative mating (SAM). Grouping data from multiple populations and seasons incurred positive biases. Overall, assortative mating moderately exhibited low repeatability in space and time, but it was inconsistent for most taxa. After excluding pooled measures, the average estimate for assortative mating was moderate and positive. Thus, our findings demonstrate that pooling data can produce misleading results. We also highlight the importance of further investigation of hypotheses that explain spatial and temporal variation in assortative mating, after its detection. Our study reinforces the significance of investigating mating patterns at various spatial and temporal scales before drawing broad conclusions.
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Affiliation(s)
- Rafael Rios Moura
- Núcleo de Extensão e Pesquisa em Ecologia e Evolução (NEPEE), Departamento de Ciências Biológicas, Universidade do Estado de Minas Gerais, Ituiutaba, Minas Gerais, Brazil.,Instituto de Biologia, Universidade Federal de Uberlândia, Uberlândia, Minas Gerais, Brazil
| | | | - Nelson Silva Pinto
- Coordenação do Núcleo de Extensão, Pesquisa e Pós-graduação, Departamento de Biologia, Centro Universitário Araguaia, Goiânia, Goiás, Brazil
| | - João Vasconcellos-Neto
- Departamento de Biologia Animal, Universidade Estadual de Campinas, Campinas, São Paulo, Brazil
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Havlíček J, Winternitz J, Roberts SC. Major histocompatibility complex-associated odour preferences and human mate choice: near and far horizons. Philos Trans R Soc Lond B Biol Sci 2020; 375:20190260. [PMID: 32306884 PMCID: PMC7209936 DOI: 10.1098/rstb.2019.0260] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/16/2019] [Indexed: 12/11/2022] Open
Abstract
The major histocompatibility complex (MHC) is a core part of the adaptive immune system. As in other vertebrate taxa, it may also affect human chemical communication via odour-based mate preferences, with greater attraction towards MHC-dissimilar partners. However, despite some well-known findings, the available evidence is equivocal and made complicated by varied approaches to quantifying human mate choice. To address this, we here conduct comprehensive meta-analyses focusing on studies assessing: (i) genomic mate selection, (ii) relationship satisfaction, (iii) odour preference, and (iv) all studies combined. Analysis of genomic studies reveals no association between MHC-dissimilarity and mate choice in actual couples; however, MHC effects appear to be independent of the genomic background. The effect of MHC-dissimilarity on relationship satisfaction was not significant, and we found evidence for publication bias in studies on this area. There was also no significant association between MHC-dissimilarity and odour preferences. Finally, combining effect sizes from all genomic, relationship satisfaction, odour preference and previous mate choice studies into an overall estimate showed no overall significant effect of MHC-similarity on human mate selection. Based on these findings, we make a set of recommendations for future studies, focusing both on aspects that should be implemented immediately and those that lurk on the far horizon. We need larger samples with greater geographical and cultural diversity that control for genome-wide similarity. We also need more focus on mechanisms of MHC-associated odour preferences and on MHC-associated pregnancy loss. This article is part of the Theo Murphy meeting issue 'Olfactory communication in humans'.
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Affiliation(s)
- Jan Havlíček
- Department of Zoology, Faculty of Science, Charles University, Viničná 7, 128 42 Prague 2, Czech Republic
| | - Jamie Winternitz
- Department of Animal Behaviour, Bielefeld University, Bielefeld 33615, Germany
| | - S. Craig Roberts
- Division of Psychology, University of Stirling, Stirling FK9 4LA, UK
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15
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Sociopolitical Attitudes Through the Lens of Behavioral Genetics: Contributions from Dr Nicholas Martin. Twin Res Hum Genet 2020; 23:125-126. [PMID: 32482192 DOI: 10.1017/thg.2020.30] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Professor Nicholas (Nick) Martin spearheaded initial investigations into the genetic basis of political attitudes and behaviors, demonstrating that behaviors that are perceived as socially constructed could have a biological basis. As he showed, the typical mode of inheritance for political attitudes consists of approximately equal proportions of variance from additive genetic, shared environmental and unique environmental sources. This differs from other psychological variables, such as personality traits, which tend to be characterized by genetic and unique environmental sources of variation. By treating political attitudes as a model phenotype, Nick Martin was able to leverage the unique pattern of observed intergenerational transmission for political attitudes to reexamine the quintessential assumptions of the classical twin model. Specifically, by creatively leveraging the nuances of the genetic architecture of political attitudes, he was able to demonstrate the robustness of the equal environments assumption and suggest corrections to account for assortative mating. These advances have had a substantial impact on both the fields of political science, as well as behavioral and quantitative genetics.
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16
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The Barbarians Are at the Gate! Twin Res Hum Genet 2020; 23:120-122. [PMID: 32423493 DOI: 10.1017/thg.2020.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Nicholas Martin's contribution to science is well known. This article reviews one small part of his pioneering work that integrated political and social attitudes with behavior genetics. Nick Martin, in part, led to a paradigm shift in the social sciences, and in political science in particular. These fields were previously wed to behavioralist approaches and now routinely include genetic influences in both theoretical and empirical study. This article also celebrates a part of Nick's contribution that many do not know. Nick Martin does not just build science, he builds scientists. There are many who would not be academics or scholars without Nick's guidance, mentorship and friendship. This review was written to express the deepest appreciation for what he has done and continues to do for science and the scientist.
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17
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Segal NL, Arch DA, Preston KS, Marelich WD. Social closeness revisited in monozygotic and dizygotic twin families: Aunt/uncle-niece/nephew relations. PERSONALITY AND INDIVIDUAL DIFFERENCES 2020. [DOI: 10.1016/j.paid.2020.109815] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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18
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What Makes a Partner Ideal, and for Whom? Compatibility Tests, Filter Tests, and the Mating Stability Matrix. Behav Sci (Basel) 2020; 10:bs10020048. [PMID: 32024253 PMCID: PMC7071359 DOI: 10.3390/bs10020048] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 01/27/2020] [Accepted: 01/28/2020] [Indexed: 11/19/2022] Open
Abstract
We introduce a typological characterization of possible human heterosexual couples in terms of the concordance-opposition of the orientations of their active and receptive areas as defined by the tie-up theory. We show that human mating incentives, as characterized by widely adopted approaches, such as Becker’s marriage market approach, only capture very specific instances of actual couples thus characterized. Our approach allows us to instead explore how super-cooperation among partners vs. convenience vs. constriction may be regarded as alternatives modes of couple formation and cohesion, leading to very different types of couples with different implications in terms of stability and resilience. Our results may have interesting implications for future experimental research and for individual and family counseling.
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Bongard S, Schulz I, Studenroth KU, Frankenberg E. Attractiveness Ratings for Musicians and Non-musicians: An Evolutionary-Psychology Perspective. Front Psychol 2019; 10:2627. [PMID: 31849756 PMCID: PMC6895061 DOI: 10.3389/fpsyg.2019.02627] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 11/07/2019] [Indexed: 11/13/2022] Open
Abstract
From an evolutionary perspective, musical behavior such as playing an instrument can be considered as part of an individual's courting behavior. Playing a musical instrument or singing might fulfill a function similar to that of a bird's colored feathers: attracting attention. Therefore, musicians may be rated as more attractive than non-musicians. In an online survey, 137 volunteers (95 female) with ages ranging from 16 to 39 years rated the attractiveness of fictitious persons of the opposite sex described in short verbal profiles. These profiles differed with respect to whether the described person made music or not. Additionally, the musicians' profiles varied with regard to whether the described person played music or sang in public or in private only. Results show that musicians' profiles were not generally rated as more attractive than non-musicians', but attractiveness did vary according to setting: private musicians were rated as most attractive, followed by non-musicians and public musicians. Furthermore, results indicate that participants who played a musical instrument or sang themselves gave higher ratings to profiles of musicians. But for participants who do not make music themselves, higher attractiveness ratings for musicians playing instruments or sing in private settings were found. These results indicate that the impression of sharing a common interest (making music) and furthermore making music in private instrumental settings seems to make people attractive to other people. No additional support for the sexual selection hypotheses for the evolution of music was provided by the current results. The musical status of the rater affected his or her judgements, with musicians rating other people as more attractive if they share the common interest in making music. Not the display of being a musician seems to be critical for attractiveness ratings but the perceived or imagined similarity by the rater created by information on musicality, fostering the theoretical significance of the communication aspect of music.
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Affiliation(s)
- Stephan Bongard
- Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Ilka Schulz
- Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Karin U. Studenroth
- Department of Psychology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Emily Frankenberg
- Division of Pediatric Neurology, Goethe University Frankfurt, Frankfurt am Main, Germany
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21
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Norris ET, Rishishwar L, Wang L, Conley AB, Chande AT, Dabrowski AM, Valderrama-Aguirre A, Jordan IK. Assortative Mating on Ancestry-Variant Traits in Admixed Latin American Populations. Front Genet 2019; 10:359. [PMID: 31105740 PMCID: PMC6491930 DOI: 10.3389/fgene.2019.00359] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 04/04/2019] [Indexed: 11/13/2022] Open
Abstract
Assortative mating is a universal feature of human societies, and individuals from ethnically diverse populations are known to mate assortatively based on similarities in genetic ancestry. However, little is currently known regarding the exact phenotypic cues, or their underlying genetic architecture, which inform ancestry-based assortative mating. We developed a novel approach, using genome-wide analysis of ancestry-specific haplotypes, to evaluate ancestry-based assortative mating on traits whose expression varies among the three continental population groups – African, European, and Native American – that admixed to form modern Latin American populations. Application of this method to genome sequences sampled from Colombia, Mexico, Peru, and Puerto Rico revealed widespread ancestry-based assortative mating. We discovered a number of anthropometric traits (body mass, height, and facial development) and neurological attributes (educational attainment and schizophrenia) that serve as phenotypic cues for ancestry-based assortative mating. Major histocompatibility complex (MHC) loci show population-specific patterns of both assortative and disassortative mating in Latin America. Ancestry-based assortative mating in the populations analyzed here appears to be driven primarily by African ancestry. This study serves as an example of how population genomic analyses can yield novel insights into human behavior.
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Affiliation(s)
- Emily T Norris
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.,IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, United States.,PanAmerican Bioinformatics Institute, Cali, Colombia
| | - Lavanya Rishishwar
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.,IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, United States.,PanAmerican Bioinformatics Institute, Cali, Colombia
| | - Lu Wang
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.,PanAmerican Bioinformatics Institute, Cali, Colombia
| | - Andrew B Conley
- IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, United States
| | - Aroon T Chande
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.,IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, United States.,PanAmerican Bioinformatics Institute, Cali, Colombia
| | - Adam M Dabrowski
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States
| | | | - I King Jordan
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.,IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, United States.,PanAmerican Bioinformatics Institute, Cali, Colombia
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22
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Indirect assortative mating for human disease and longevity. Heredity (Edinb) 2019; 123:106-116. [PMID: 30723306 DOI: 10.1038/s41437-019-0185-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 01/03/2019] [Accepted: 01/05/2019] [Indexed: 02/07/2023] Open
Abstract
Phenotypic correlations among partners for traits such as longevity or late-onset disease have been found to be comparable to phenotypic correlations in first-degree relatives. How these correlations arise in late life is poorly understood. Here we introduce a novel paradigm to establish the presence of indirect assortment on factors correlated across generations, by examining correlations between parents of couples, i.e., in-laws. Using correlations in additive genetic values we further corroborate the presence of indirect assortment on heritable factors. Specifically, using couples from the UK Biobank cohort, we show that longevity and disease history of the parents of White British couples are correlated, with correlations of up to 0.09. The correlations in parental longevity are replicated in the FamiLinx cohort, a larger and geographically more diverse historical ancestry dataset spanning a broader time frame. These correlations in parental longevity significantly (pval < 0.0093 for all pairs of parents) exceed what would be expected due to variations in lifespan based on year and location of birth. For cardiovascular diseases, in particular hypertension, we find significant correlations (r = 0.028, pval = 0.005) in genetic values among partners, supporting a model where partners assort for risk factors to some extent genetically correlated with cardiovascular disease. Partitioning the relative importance of indirect assortative mating and shared common environment will require large, well-characterized longitudinal cohorts aimed at understanding phenotypic correlations among none-blood relatives. Identifying the factors that mediate indirect assortment on longevity and human disease risk will help to unravel factors affecting human disease and ultimately longevity.
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Picci G, Griffin AM, Reiss D, Neiderhiser JM. Parent-adolescent conflict and young adult romantic relationship negativity: Genetic and environmental influences. JOURNAL OF FAMILY PSYCHOLOGY : JFP : JOURNAL OF THE DIVISION OF FAMILY PSYCHOLOGY OF THE AMERICAN PSYCHOLOGICAL ASSOCIATION (DIVISION 43) 2019; 33:34-43. [PMID: 30475004 PMCID: PMC6355366 DOI: 10.1037/fam0000476] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Prior work indicates that aspects of interpersonal relationships are heritable, including negativity within parent-adolescent relationships as well as romantic relationships during adulthood. There have not, however, been systematic studies to disentangle genetic and environmental influences on relationship dynamics with parents as they relate to romantic partner relationship dynamics. Thus, the present study examined genetic and environmental influences on associations between parent-adolescent conflict and young adult reports of negativity with a romantic partner using a longitudinal twin/sibling design. We found that genetic, shared, and nonshared environmental factors contributed to conflict in parent-adolescent relationships and that genetic and nonshared environmental factors uniquely contributed to negativity in the romantic partnership during young adulthood. The longitudinal association between parent-adolescent conflict and romantic relationship conflict was explained entirely by genetic influences shared by the 2 constructs. These findings have implications for understanding interpersonal functioning across different relationship types, spanning multiple developmental periods. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
- Giorgia Picci
- Department of Human Development and Family Studies, The Pennsylvania State University
| | - Amanda M. Griffin
- Department of Human Development and Family Studies, The Pennsylvania State University
- Prevention Science Institute, University of Oregon
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Zavala C, Beam CR, Finch BK, Gatz M, Johnson W, Kremen WS, Neiderhiser JM, Pedersen NL, Reynolds CA. Attained SES as a moderator of adult cognitive performance: Testing gene-environment interaction in various cognitive domains. Dev Psychol 2018; 54:2356-2370. [PMID: 30335430 PMCID: PMC6263814 DOI: 10.1037/dev0000576] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
We examined whether attained socioeconomic status (SES) moderated genetic and environmental sources of individual differences in cognitive performance using pooled data from 9 adult twin studies. Prior work concerning SES moderation of cognitive performance has focused on rearing SES. The current adult sample of 12,196 individuals (aged 27-98 years) allowed for the examination of common sources of individual differences between attained SES and cognitive performance (signaling potential gene-environment correlation mechanisms, rGE), as well as sources of individual differences unique to cognitive performance (signaling potential gene-environment interaction mechanisms, G × E). Attained SES moderated sources of individual differences in 4 cognitive domains, assessed via performance on 5 cognitive tests ranging 2,149 to 8,722 participants. Attained SES moderated common sources of influences for 3 domains and influences unique to cognition in all 4 domains. The net effect was that genetic influences on the common pathway tended to be relatively more important at the upper end of attained SES indicating possible active rGE, whereas, genetic influences for the unique pathway were proportionally stable or less important at the upper end of attained SES. As a noted exception, at the upper end of attained SES, genetic influences unique to perceptual speed were amplified and genetic influences on the common pathway were dampened. Accounting for rearing SES did not alter attained SES moderation effects on cognitive performance, suggesting mechanisms germane to adulthood. Our findings suggest the importance of gene-environment mechanisms through which attained SES moderates sources of individual differences in cognitive performance. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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Affiliation(s)
| | | | | | | | - Wendy Johnson
- Centre for Cognitive Ageing & Cognitive Epidemiology and Department of Psychology, University of Edinburgh
| | - William S Kremen
- Department of Psychiatry and Center for Behavior Genetics of Aging, University of California
| | | | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, University of Southern California
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25
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Jones BC, Hahn AC, DeBruine LM. Ovulation, Sex Hormones, and Women's Mating Psychology. Trends Cogn Sci 2018; 23:51-62. [PMID: 30477896 DOI: 10.1016/j.tics.2018.10.008] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 09/20/2018] [Accepted: 10/30/2018] [Indexed: 01/16/2023]
Abstract
The dual mating strategy hypothesis proposes that women's preferences for uncommitted sexual relationships with men displaying putative fitness cues increase during the high-fertility phase of the menstrual cycle. Results consistent with this hypothesis are widely cited as evidence that sexual selection has shaped human mating psychology. However, the methods used in most of these studies have recently been extensively criticized. Here we discuss (i) new empirical studies that address these methodological problems and largely report null results and (ii) an alternative model of hormonal regulation of women's mating psychology that can better accommodate these new data.
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Affiliation(s)
- Benedict C Jones
- Institute of Neuroscience and Psychology, University of Glasgow, UK.
| | - Amanda C Hahn
- Department of Psychology, Humboldt State University, Arcata, CA, USA
| | - Lisa M DeBruine
- Institute of Neuroscience and Psychology, University of Glasgow, UK
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26
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Wainberg ML, Helpman L, Duarte CS, Vermund SH, Mootz JJ, Gouveia L, Oquendo MA, McKinnon K, Cournos F. Curtailing the communicability of psychiatric disorders. Lancet Psychiatry 2018; 5:940-944. [PMID: 30316807 PMCID: PMC6433373 DOI: 10.1016/s2215-0366(18)30342-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 08/12/2018] [Accepted: 08/24/2018] [Indexed: 12/14/2022]
Abstract
Although psychiatric disorders are classified as non-communicable diseases, we believe this classification is too rigid and limiting. We present evidence of the communicability of psychiatric disorders through three major pathways: infectious and ecological, familial, and sociocultural communicability. Successful strategies developed to control the spread of communicable infectious diseases are relevant to curtailing the communicability of psychiatric disorders, thereby reducing their burden. Current interventions and policies that conceptualise psychiatric illnesses as non-communicable mostly focus on the individual. By applying strategies from infectious disease and chronic illness prevention models within a socioecological framework, we posit a broad communicable chronic disease psychiatric illness control plan for effectively treating the patient with the psychiatric disorder (host) as early as possible, providing benefits to their family and the community, and preventing transmission to others.
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Affiliation(s)
- Milton L Wainberg
- New York State Psychiatric Institute and Columbia University College of Physicians and Surgeons, New York, NY, USA.
| | - Liat Helpman
- Psychiatric Research Unit, Tel Aviv Sourasky Medical Center, Tel Aviv-Yafo, Israel
| | - Cristiane S Duarte
- New York State Psychiatric Institute and Columbia University College of Physicians and Surgeons, New York, NY, USA
| | | | - Jennifer J Mootz
- New York State Psychiatric Institute and Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Lidia Gouveia
- Department of Mental Health, Mozambique Ministry of Health, Avenida Eduardo Mondlane, Maputo, Mozambique
| | - Maria A Oquendo
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Karen McKinnon
- New York State Psychiatric Institute and Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Francine Cournos
- Mailman School of Public Health, Columbia University, New York, NY, USA
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27
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Segal NL, Hernandez BA, Graham JL, Ettinger U. Pairs of Genetically Unrelated Look-Alikes : Further Tests of Personality Similarity and Social Affiliation. HUMAN NATURE-AN INTERDISCIPLINARY BIOSOCIAL PERSPECTIVE 2018; 29:402-417. [PMID: 30251001 DOI: 10.1007/s12110-018-9326-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Relationships of physical resemblance to personality similarity and social affiliation have generated considerable discussion among behavioral science researchers. A "twin-like" experimental design (involving genetically unrelated look-alikes, U-LAs) explores associations among resemblance in appearance, the Big Five personality traits, self-esteem, and social attraction within an evolutionary framework. The Personality for Professionals Inventory (PfPI), NEO/NEO-FFI-3, Rosenberg Self-Esteem Scale, and a Social Relationship Survey were variously completed by 45 U-LA pairs, identified from the "I'm Not a Look-Alike" project, Mentorn Media, and personal referrals. The mean U-LA intraclass correlations were negligible for all Big Five personality traits on the PfPI and NEO/NEO-FFI-3 (ri = -.02 and - .04, respectively). In contrast, mean ri values of .53 and .15 for monozygotic (MZA) and dizygotic (DZA) reared-apart twins, respectively, have been reported for these personality measures. The U-LA self-esteem correlation (ri = -.18) was also below the correlations reported for MZ and DZ reared-together twins (ri = .31 and .13, respectively). Finally, far fewer U-LAs expressed close social relationships (20%) than MZA (80%) and DZA (65%) twins. The present study extends earlier findings indicating that appearance is not meaningfully related to personality similarity and social relatedness. The criticism that MZ twins are alike in personality because their matched looks invite similar treatment by others is refuted. A more judicious interpretation is reactive genotype-environment correlation, namely that MZ twins' similar personalities evoke similar reactions from others. MZ twins' close social relations most likely derive from their perceptions of genetically based within-pair similarities that are lacking in U-LAs.
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Affiliation(s)
- Nancy L Segal
- Department of Psychology, California State University, 800 N. State College Blvd., Fullerton, CA, 92834, USA.
| | | | - Jamie L Graham
- Department of Human Development & Family Sciences, University of Texas, Austin, TX, USA
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29
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Abstract
The future harbours the potential for myriad threats to the fitness of organisms, and many species prepare accordingly based on indicators of hazards. Here, we distinguish between defensive responses on the basis of sensed cues and those based on autocues generated by mental simulations of the future in humans. Whereas sensed threat cues usually induce specific responses with reference to particular features of the environment or generalized responses to protect against diffuse threats, autocues generated by mental simulations of the future enable strategic preparation for hazards that may not require an immediate response. The overlap of these mechanisms makes defence effective and versatile, yet can manifest as contemporary anxiety disorders in humans.
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Affiliation(s)
- Beyon Miloyan
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, USA and School of Psychology and Health Sciences, Faculty of Health, Federation University, Australia
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30
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Father's physique influences mate preferences but not the actual choice of male somatotype in heterosexual women and homosexual men. EVOL HUM BEHAV 2018. [DOI: 10.1016/j.evolhumbehav.2017.09.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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31
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Li X, Redline S, Zhang X, Williams S, Zhu X. Height associated variants demonstrate assortative mating in human populations. Sci Rep 2017; 7:15689. [PMID: 29146993 PMCID: PMC5691191 DOI: 10.1038/s41598-017-15864-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 11/03/2017] [Indexed: 12/23/2022] Open
Abstract
Understanding human mating patterns, which can affect population genetic structure, is important for correctly modeling populations and performing genetic association studies. Prior studies of assortative mating in humans focused on trait similarity among spouses and relatives via phenotypic correlations. Limited research has quantified the genetic consequences of assortative mating. The degree to which the non-random mating influences genetic architecture remains unclear. Here, we studied genetic variants associated with human height to assess the degree of height-related assortative mating in European-American and African-American populations. We compared the inbreeding coefficient estimated using known height associated variants with that calculated from frequency matched sets of random variants. We observed significantly higher inbreeding coefficients for the height associated variants than from frequency matched random variants (P < 0.05), demonstrating height-related assortative mating in both populations.
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Affiliation(s)
- Xiaoyin Li
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Susan Redline
- Departments of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Xiang Zhang
- College of Information Sciences and Technology, The Pennsylvania State University, University Park, State College, PA, USA
| | - Scott Williams
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA
| | - Xiaofeng Zhu
- Department of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA.
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32
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Tremblay RE, Vitaro F, Côté SM. Developmental Origins of Chronic Physical Aggression: A Bio-Psycho-Social Model for the Next Generation of Preventive Interventions. Annu Rev Psychol 2017; 69:383-407. [PMID: 29035692 DOI: 10.1146/annurev-psych-010416-044030] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This review describes a bio-psycho-social approach to understanding and preventing the development of chronic physical aggression. The debate on the developmental origins of aggression has historically opposed genetic and environmental mechanisms. Recent studies have shown that the frequency of physical aggression peaks in early childhood and then decreases until old age. Molecular genetic studies and twin studies have confirmed important genetic influences. However, recent epigenetic studies have highlighted the important role of environments in gene expression and brain development. These studies suggest that interrelated bio-psycho-social channels involved in the development of chronic physical aggression are generally the product of an intergenerational transmission process occurring through assortative mating, genetic inheritance, and the inheritance of physical and social environmental conditions that handicap brain functioning and support the use of physical aggression to solve problems. Given these intergenerational mechanisms and physical aggression onset in infancy, it appears clear that preventive interventions should start early in pregnancy, at the latest.
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Affiliation(s)
- Richard E Tremblay
- Department of Pediatrics and Department of Psychology, University of Montreal, Montreal QC H3T 1J4, Canada;
| | - Frank Vitaro
- School of Psychoeducation, University of Montreal, Montreal QC H3T 1J4, Canada;
| | - Sylvana M Côté
- Department of Social and Preventive Medicine, University of Montreal, Montreal QC H3T 1J4, Canada; .,INSERM U1219, University of Bordeaux, 33400 Talence, France
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Eastwick PW, Harden KP, Shukusky JA, Morgan TA, Joel S. Consistency and inconsistency among romantic partners over time. J Pers Soc Psychol 2017; 112:838-859. [PMID: 28253004 PMCID: PMC10782849 DOI: 10.1037/pspi0000087] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Theoretical perspectives on mating differentially emphasize whether (and why) romantic partner selection and maintenance processes derive from stable features of individuals (e.g., mate value, mate preferences, relationship aptitude) and their environments (e.g., social homogamy) rather than adventitious, dyad-specific, or unpredictable factors. The current article advances our understanding of this issue by assessing how people's actual romantic partners vary on constructs commonly assessed in evolutionary psychology (Study 1), sociology (Study 2), and close relationships (Study 3). Specifically, we calculated the extent to which the past and present partners of a focal person (i.e., the person who dated all of the partners) cluster on various measures. Study 1 investigated consistency in the observable qualities of the romantic partners, revealing substantial evidence for clustering on coder-rated attributes like attractiveness and masculinity. Study 2 examined qualities self-reported by romantic partners themselves in a demographically diverse sample and found modest evidence for clustering on attributes such as IQ and educational aspirations; however, clustering in this study was largely due to demographic stratification. Study 3 explored target-specific ratings by partners about the focal person and found little evidence for clustering: The ability to elicit high romantic desirability/sexual satisfaction ratings from partners was not a stable individual difference. The variables that affect mating may differ considerably in the extent to which they serve as stable versus unpredictable factors; thus, the fields of evolutionary psychology, sociology, and close relationships may reveal distinct depictions of mating because the constructs and assessment strategies in each differ along this underappreciated dimension. (PsycINFO Database Record
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Affiliation(s)
| | - K Paige Harden
- Department of Psychology and Population Research Center, University of Texas at Austin
| | - Jennifer A Shukusky
- Department of Human Development and Family Sciences, University of Texas at Austin
| | - Taylor Anne Morgan
- Department of Human Development and Family Sciences, University of Texas at Austin
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Assortative Mating: Encounter-Network Topology and the Evolution of Attractiveness. Sci Rep 2017; 7:45107. [PMID: 28345625 PMCID: PMC5366857 DOI: 10.1038/srep45107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 02/17/2017] [Indexed: 11/09/2022] Open
Abstract
We model a social-encounter network where linked nodes match for reproduction in a manner depending probabilistically on each node's attractiveness. The developed model reveals that increasing either the network's mean degree or the "choosiness" exercised during pair formation increases the strength of positive assortative mating. That is, we note that attractiveness is correlated among mated nodes. Their total number also increases with mean degree and selectivity during pair formation. By iterating over the model's mapping of parents onto offspring across generations, we study the evolution of attractiveness. Selection mediated by exclusion from reproduction increases mean attractiveness, but is rapidly balanced by skew in the offspring distribution of highly attractive mated pairs.
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Stulp G, Simons MJ, Grasman S, Pollet TV. Assortative mating for human height: A meta-analysis. Am J Hum Biol 2017; 29:e22917. [PMID: 27637175 PMCID: PMC5297874 DOI: 10.1002/ajhb.22917] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Revised: 05/31/2016] [Accepted: 08/14/2016] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVES The study of assortative mating for height has a rich history in human biology. Although the positive correlation between the stature of spouses has often been noted in western populations, recent papers suggest that mating patterns for stature are not universal. The objective of this paper was to review the published evidence to examine the strength of and universality in assortative mating for height. METHODS We conducted an extensive literature review and meta-analysis. We started with published reviews but also searched through secondary databases. Our search led to 154 correlations of height between partners. We classified the populations as western and non-western based on geography. These correlations were then analyzed via meta-analytic techniques. RESULTS 148 of the correlations for partner heights were positive and the overall analysis indicates moderate positive assortative mating (r = .23). Although assortative mating was slightly stronger in countries that can be described as western compared to non-western, this difference was not statistically significant. We found no evidence for a change in assortative mating for height over time. There was substantial residual heterogeneity in effect sizes and this heterogeneity was most pronounced in western countries. CONCLUSIONS Positive assortative mating for height exists in human populations, but is modest in magnitude suggesting that height is not a major factor in mate choice. Future research is necessary to understand the underlying causes of the large amount of heterogeneity observed in the degree of assortative mating across human populations, which may stem from a combination of methodological and ecological differences.
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Affiliation(s)
- Gert Stulp
- Department of Sociology, University of Groningen / Inter-university Center for Social Science Theory and Methodology (ICS), GroningenThe Netherlands
- Department of Population HealthLondon School of Hygiene and Tropical MedicineLondonUnited Kingdom
| | - Mirre J.P. Simons
- Department of Animal and Plant SciencesUniversity of SheffieldSheffieldUnited Kingdom
| | - Sara Grasman
- Department of Experimental and Applied PsychologyVU University AmsterdamAmsterdamThe Netherlands
| | - Thomas V. Pollet
- Department of Experimental and Applied PsychologyVU University AmsterdamAmsterdamThe Netherlands
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Hugh-Jones D, Verweij KJ, St. Pourcain B, Abdellaoui A. Assortative mating on educational attainment leads to genetic spousal resemblance for polygenic scores. INTELLIGENCE 2016. [DOI: 10.1016/j.intell.2016.08.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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39
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Preferred and actual relative height are related to sex, sexual orientation, and dominance: Evidence from Brazil and the Czech Republic. PERSONALITY AND INDIVIDUAL DIFFERENCES 2016. [DOI: 10.1016/j.paid.2016.01.049] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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40
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Sherlock JM, Verweij KJH, Murphy SC, Heath AC, Martin NG, Zietsch BP. The Role of Genes and Environment in Degree of Partner Self-Similarity. Behav Genet 2016; 47:25-35. [PMID: 27590902 DOI: 10.1007/s10519-016-9808-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 08/18/2016] [Indexed: 12/14/2022]
Abstract
Choice of romantic partner is an enormously important component of human life, impacting almost every facet of day-to-day existence, however; the processes underlying this choice are remarkably complex and have so far been largely resistant to scientific explanation. One consistent finding is that, on average, members of romantic dyads tend to be more alike than would be expected by chance. Selecting for self-similarity is at least partially driven by phenotypic matching wherein couples share similar phenotypes, and preferences for a number of these traits are partly genetically influenced (e.g., education, height, social attitudes and religiosity). This suggests that genetically influenced preferences for self-similarity might contribute to phenotypic matching (and thus assortative mating), but it has never been studied in actual couples. In the present study, we use a large sample of twins to model sources of variation in self-similarity between partners. Biometrical modelling revealed that very little of the variation in the tendency to assortatively mate across 14 traits was due to genetic effects (7 %) or the shared environment of twins (0 %).
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Affiliation(s)
- James M Sherlock
- School of Psychology, The University of Queensland, St Lucia, QLD, Australia.
| | - Karin J H Verweij
- School of Psychology, The University of Queensland, St Lucia, QLD, Australia.,Department of Biological Psychology, VU University, Amsterdam, The Netherlands
| | - Sean C Murphy
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, VIC, 3010, Australia
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD, Australia
| | - Brendan P Zietsch
- School of Psychology, The University of Queensland, St Lucia, QLD, Australia. .,Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD, Australia.
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41
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Jelenkovic A, Sund R, Hur YM, Yokoyama Y, Hjelmborg JVB, Möller S, Honda C, Magnusson PKE, Pedersen NL, Ooki S, Aaltonen S, Stazi MA, Fagnani C, D’Ippolito C, Freitas DL, Maia JA, Ji F, Ning F, Pang Z, Rebato E, Busjahn A, Kandler C, Saudino KJ, Jang KL, Cozen W, Hwang AE, Mack TM, Gao W, Yu C, Li L, Corley RP, Huibregtse BM, Derom CA, Vlietinck RF, Loos RJF, Heikkilä K, Wardle J, Llewellyn CH, Fisher A, McAdams TA, Eley TC, Gregory AM, He M, Ding X, Bjerregaard-Andersen M, Beck-Nielsen H, Sodemann M, Tarnoki AD, Tarnoki DL, Knafo-Noam A, Mankuta D, Abramson L, Burt SA, Klump KL, Silberg JL, Eaves LJ, Maes HH, Krueger RF, McGue M, Pahlen S, Gatz M, Butler DA, Bartels M, van Beijsterveldt TCEM, Craig JM, Saffery R, Dubois L, Boivin M, Brendgen M, Dionne G, Vitaro F, Martin NG, Medland SE, Montgomery GW, Swan GE, Krasnow R, Tynelius P, Lichtenstein P, Haworth CMA, Plomin R, Bayasgalan G, Narandalai D, Harden KP, Tucker-Drob EM, Spector T, Mangino M, Lachance G, Baker LA, Tuvblad C, Duncan GE, Buchwald D, Willemsen G, Skytthe A, Kyvik KO, Christensen K, Öncel SY, Aliev F, Rasmussen F, Goldberg JH, Sørensen TIA, Boomsma DI, Kaprio J, Silventoinen K. Genetic and environmental influences on height from infancy to early adulthood: An individual-based pooled analysis of 45 twin cohorts. Sci Rep 2016; 6:28496. [PMID: 27333805 PMCID: PMC4917845 DOI: 10.1038/srep28496] [Citation(s) in RCA: 103] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 06/02/2016] [Indexed: 01/05/2023] Open
Abstract
Height variation is known to be determined by both genetic and environmental factors, but a systematic description of how their influences differ by sex, age and global regions is lacking. We conducted an individual-based pooled analysis of 45 twin cohorts from 20 countries, including 180,520 paired measurements at ages 1-19 years. The proportion of height variation explained by shared environmental factors was greatest in early childhood, but these effects remained present until early adulthood. Accordingly, the relative genetic contribution increased with age and was greatest in adolescence (up to 0.83 in boys and 0.76 in girls). Comparing geographic-cultural regions (Europe, North-America and Australia, and East-Asia), genetic variance was greatest in North-America and Australia and lowest in East-Asia, but the relative proportion of genetic variation was roughly similar across these regions. Our findings provide further insights into height variation during childhood and adolescence in populations representing different ethnicities and exposed to different environments.
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Affiliation(s)
- Aline Jelenkovic
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | - Reijo Sund
- Department of Social Research, University of Helsinki, Helsinki, Finland
| | - Yoon-Mi Hur
- Department of Education, Mokpo National University, Jeonnam, South Korea
| | - Yoshie Yokoyama
- Department of Public Health Nursing, Osaka City University, Osaka, Japan
| | - Jacob v. B. Hjelmborg
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
| | - Sören Möller
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
| | - Chika Honda
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Patrik K. E. Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nancy L. Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Syuichi Ooki
- Department of Health Science, Ishikawa Prefectural Nursing University, Kahoku, Ishikawa, Japan
| | - Sari Aaltonen
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Maria A. Stazi
- Istituto Superiore di Sanità - National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Corrado Fagnani
- Istituto Superiore di Sanità - National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Cristina D’Ippolito
- Istituto Superiore di Sanità - National Center for Epidemiology, Surveillance and Health Promotion, Rome, Italy
| | - Duarte L. Freitas
- Department of Physical Education and Sport, University of Madeira, Funchal, Portugal
| | | | - Fuling Ji
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Feng Ning
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Zengchang Pang
- Department of Noncommunicable Diseases Prevention, Qingdao Centers for Disease Control and Prevention, Qingdao, China
| | - Esther Rebato
- Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa, Spain
| | | | | | - Kimberly J. Saudino
- Boston University, Department of Psychological and Brain Sciencies, Boston, MA, USA
| | - Kerry L. Jang
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Wendy Cozen
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
- USC Norris Comprehensive Cancer Center, Los Angeles, California, USA
| | - Amie E. Hwang
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
| | - Thomas M. Mack
- Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA
- USC Norris Comprehensive Cancer Center, Los Angeles, California, USA
| | - Wenjing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Robin P. Corley
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA
| | - Brooke M. Huibregtse
- Institute for Behavioral Genetics, University of Colorado, Boulder, Colorado, USA
| | - Catherine A. Derom
- Centre of Human Genetics, University Hospitals Leuven, Leuven, Belgium
- Department of Obstetrics and Gynaecology, Ghent University Hospitals, Ghent, Belgium
| | | | - Ruth J. F. Loos
- The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kauko Heikkilä
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Jane Wardle
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Clare H. Llewellyn
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Abigail Fisher
- Health Behaviour Research Centre, Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Tom A. McAdams
- King’s College London, MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Thalia C. Eley
- King’s College London, MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Alice M. Gregory
- Department of Psychology, Goldsmiths, University of London, London, UK
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- Centre for Eye Research Australia, University of Melbourne, Melbourne, Australia
| | - Xiaohu Ding
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Morten Bjerregaard-Andersen
- Bandim Health Project, INDEPTH Network, Bissau, Guinea-Bissau
- Research Center for Vitamins and Vaccines, Statens Serum Institute, Copenhagen, Denmark
- Department of Endocrinology, Odense University Hospital, Odense, Denmark
| | | | - Morten Sodemann
- Department of Infectious Diseases, Odense University Hospital, Odense, Denmark
| | - Adam D. Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
- Hungarian Twin Registry, Budapest, Hungary
| | - David L. Tarnoki
- Department of Radiology and Oncotherapy, Semmelweis University, Budapest, Hungary
- Hungarian Twin Registry, Budapest, Hungary
| | | | - David Mankuta
- Hadassah Hospital Obstetrics and Gynecology Department, Hebrew University Medical School, Jerusalem, Israel
| | - Lior Abramson
- The Hebrew University of Jerusalem, Jerusalem, Israel
| | | | | | - Judy L. Silberg
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Lindon J. Eaves
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Hermine H. Maes
- Department of Human and Molecular Genetics, Psychiatry & Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Robert F. Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Matt McGue
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Shandell Pahlen
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Margaret Gatz
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - David A. Butler
- Institute of Medicine, National Academy of Sciences, Washington, DC, USA
| | - Meike Bartels
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | | | - Jeffrey M. Craig
- Murdoch Childrens Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Richard Saffery
- Murdoch Childrens Research Institute, Royal Children’s Hospital, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Lise Dubois
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Michel Boivin
- École de psychologie, Université Laval, Québec, Canada
- Institute of Genetic, Neurobiological, and Social Foundations of Child Development, Tomsk State University, Russian Federation
| | - Mara Brendgen
- Département de psychologie, Université du Québec à Montréal, Montréal, Québec, Canada
| | | | - Frank Vitaro
- École de psychoéducation, Université de Montréal, Montréal, Québec, Canada
| | - Nicholas G. Martin
- Genetic Epidemiology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Sarah E. Medland
- Genetic Epidemiology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Grant W. Montgomery
- Molecular Epidemiology Department, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Gary E. Swan
- Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Ruth Krasnow
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - Per Tynelius
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | | | - Robert Plomin
- King’s College London, MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | | | - Danshiitsoodol Narandalai
- Healthy Twin Association of Mongolia, Ulaanbaatar, Mongolia
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - K. Paige Harden
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
| | | | - Timothy Spector
- Department of Twin Research and Genetic Epidemiology, King’s College, London, UK
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King’s College, London, UK
| | - Genevieve Lachance
- Department of Twin Research and Genetic Epidemiology, King’s College, London, UK
| | - Laura A. Baker
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
| | - Catherine Tuvblad
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
- School of Law, Psychology and Social Work, Örebro University, Sweden
| | - Glen E. Duncan
- Washington State Twin Registry, Washington State University - Health Sciences Spokane, Spokane, WA, USA
| | - Dedra Buchwald
- Washington State Twin Registry, Washington State University, Seattle, WA, USA
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Axel Skytthe
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
| | - Kirsten O. Kyvik
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Odense Patient data Explorative Network (OPEN), Odense University Hospital, Odense, Denmark
| | - Kaare Christensen
- The Danish Twin Registry, Department of Public Health, Epidemiology, Biostatistics & Biodemography, University of Southern Denmark, Odense, Denmark
- Department of Clinical Biochemistry and Pharmacology and Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Sevgi Y. Öncel
- Department of Statistics, Faculty of Arts and Sciences, Kırıkkale University, Kırıkkale, Turkey
| | - Fazil Aliev
- Departments of Psychiatry, Psychology, and Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, USA
| | - Finn Rasmussen
- Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - Jack H. Goldberg
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Thorkild I. A. Sørensen
- Novo Nordisk Foundation Centre for Basic Metabolic Research (Section on Metabolic Genetics) and Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, The Capital Region, Copenhagen, Denmark
| | - Dorret I. Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, Netherlands
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
- Institute for Molecular Medicine FIMM, Helsinki, Finland
| | - Karri Silventoinen
- Department of Social Research, University of Helsinki, Helsinki, Finland
- Osaka University Graduate School of Medicine, Osaka University, Osaka, Japan
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Zentner M, Eagly AH. A sociocultural framework for understanding partner preferences of women and men: Integration of concepts and evidence. EUROPEAN REVIEW OF SOCIAL PSYCHOLOGY 2015. [DOI: 10.1080/10463283.2015.1111599] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Understanding The Role of Mate Selection Processes in Couples' Pair-Bonding Behavior. Behav Genet 2015; 46:143-9. [PMID: 26573626 DOI: 10.1007/s10519-015-9766-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Accepted: 10/22/2015] [Indexed: 10/22/2022]
Abstract
Couples are similar in their pair-bonding behavior, yet the reasons for this similarity are often unclear. A common explanation is phenotypic assortment, whereby individuals select partners with similar heritable characteristics. Alternatively, social homogamy, whereby individuals passively select partners with similar characteristic due to shared social backgrounds, is rarely considered. We examined whether phenotypic assortment and/or social homogamy can contribute to mate similarity using a twin-partner design. The sample came from the Twin and Offspring Study in Sweden, which included 876 male and female monozygotic and same-sex dizygotic twins plus their married or cohabitating partners. Results showed that variance in pair-bonding behavior was attributable to genetic and nonshared environmental factors. Furthermore, phenotypic assortment accounted for couple similarity in pair-bonding behavior. This suggests that individuals' genetically based characteristics are involved in their selection of mates with similar pair-bonding behavior.
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Zietsch BP, Westberg L, Santtila P, Jern P. Genetic analysis of human extrapair mating: heritability, between-sex correlation, and receptor genes for vasopressin and oxytocin. EVOL HUM BEHAV 2015. [DOI: 10.1016/j.evolhumbehav.2014.10.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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46
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Krzyżanowska M, Mascie-Taylor CN, Thalabard JC. Is human mating for height associated with fertility? Results from a british national cohort study. Am J Hum Biol 2015; 27:553-63. [DOI: 10.1002/ajhb.22684] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2013] [Revised: 12/29/2014] [Accepted: 12/30/2014] [Indexed: 12/23/2022] Open
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47
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Verweij KJ, Burri AV, Zietsch BP. Testing the prediction from sexual selection of a positive genetic correlation between human mate preferences and corresponding traits. EVOL HUM BEHAV 2014. [DOI: 10.1016/j.evolhumbehav.2014.06.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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49
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Leivers S, Rhodes G, Simmons LW. Context-dependent relationship between a composite measure of men’s mate value and ejaculate quality. Behav Ecol 2014. [DOI: 10.1093/beheco/aru093] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
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50
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Krzyżanowska M, Mascie-Taylor CGN. Educational and social class assortative mating in fertile British couples. Ann Hum Biol 2014; 41:561-7. [PMID: 24720482 DOI: 10.3109/03014460.2014.903996] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Positive assortative mating for education and social position has been widely reported in a number of countries, but very few studies have tested whether or not educational or social class homogamy is related to differential fertility. AIM This study examined the relationship between educational and social class assortative mating and fertility in a British national cohort. SUBJECTS AND METHODS The analyses were based on 7452 husband-wife pairs from the British National Child Development Study (NCDS). RESULTS The mean fertility was 3.22 children per couple; the number of children significantly increased from higher to lower social classes and from the more educated to the less educated. The extent of assortative mating for social class and educational level was related to fertility; as educational assortative mating decreased so did the average number of children, whereas the opposite trend was observed for social class. When assortative mating for education and social class were considered together, educational assortative mating was the more significant predictor of the number of children and educationally homogamous couples had higher fertility independent of their social class assortative mating. CONCLUSIONS The relationship between assortative mating and fertility for education and social class appeared to be acting in the opposite direction.
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