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      Educational Attainment Influences Levels of Homozygosity through Migration and Assortative Mating

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          Abstract

          Individuals with a higher education are more likely to migrate, increasing the chance of meeting a spouse with a different ancestral background. In this context, the presence of strong educational assortment can result in greater ancestry differences within more educated spouse pairs, while less educated individuals are more likely to mate with someone with whom they share more ancestry. We examined the association between educational attainment and F roh (= the proportion of the genome consisting of runs of homozygosity [ROHs]) in ~2,000 subjects of Dutch ancestry. The subjects’ own educational attainment showed a nominally significant negative association with F roh ( p = .045), while the contribution of parental education to offspring F roh was highly significant (father: p < 10 -5; mother: p = 9×10 -5), with more educated parents having offspring with fewer ROHs. This association was significantly and fully mediated by the physical distance between parental birthplaces (paternal education: p mediation = 2.4 × 10 -4; maternal education: p mediation = 2.3 × 10 -4), which itself was also significantly associated with F roh ( p = 9 × 10 -5). Ancestry-informative principal components from the offspring showed a significantly decreasing association with geography as parental education increased, consistent with the significantly higher migration rates among more educated parents. Parental education also showed a high spouse correlation (Spearman’s ρ = .66, p = 3 × 10 -262). We show that less educated parents are less likely to mate with the more mobile parents with a higher education, creating systematic differences in homozygosity due to ancestry differences not directly captured by ancestry-informative principal components (PCs). Understanding how behaviors influence the genomic structure of a population is highly valuable for studies on the genetic etiology of behavioral, cognitive, and social traits.

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          Most cited references20

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          GWAS of 126,559 individuals identifies genetic variants associated with educational attainment.

          A genome-wide association study (GWAS) of educational attainment was conducted in a discovery sample of 101,069 individuals and a replication sample of 25,490. Three independent single-nucleotide polymorphisms (SNPs) are genome-wide significant (rs9320913, rs11584700, rs4851266), and all three replicate. Estimated effects sizes are small (coefficient of determination R(2) ≈ 0.02%), approximately 1 month of schooling per allele. A linear polygenic score from all measured SNPs accounts for ≈2% of the variance in both educational attainment and cognitive function. Genes in the region of the loci have previously been associated with health, cognitive, and central nervous system phenotypes, and bioinformatics analyses suggest the involvement of the anterior caudate nucleus. These findings provide promising candidate SNPs for follow-up work, and our effect size estimates can anchor power analyses in social-science genetics.
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            The gap gets bigger: changes in mortality and life expectancy, by education, 1981-2000.

            In this paper we examine educational disparities in mortality and life expectancy among non-Hispanic blacks and whites in the 1980s and 1990s. Despite increased attention and substantial dollars directed to groups with low socioeconomic status, within race and gender groups, the educational gap in life expectancy is rising, mainly because of rising differentials among the elderly. With the exception of black males, all recent gains in life expectancy at age twenty-five have occurred among better-educated groups, raising educational differentials in life expectancy by 30 percent. Differential trends in smoking-related diseases explain at least 20 percent of this trend.
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              Social consequences of psychiatric disorders, I: Educational attainment.

              This is the first in a series of investigations of the social consequences of psychiatric disorders based on the National Comorbidity Survey. Data on the relationship between preexisting psychiatric disorders and subsequent educational attainment are presented. The National Comorbidity Survey is a nationally representative survey of 8,098 respondents in the age range 15-54 years. A subsample of 5,877 respondents completed a structured psychiatric interview and a detailed risk factor battery. Diagnoses of DSM-III-R anxiety disorders, mood disorders, substance use disorders, and conduct disorder were generated, and survival analyses were used to project data on school terminations to the total U.S. population. Early-onset psychiatric disorders are present in more than 3.5 million people in the age range of the National Comorbidity Survey who did not complete high school and close to 4.3 million who did not complete college. The most important disorders are conduct disorder among men and anxiety disorders among women. The proportion of school dropouts with psychiatric disorders has increased dramatically in recent cohorts, and persons with psychiatric disorders currently account for 14.2% of high school dropouts and 4.7% of college dropouts. Early-onset psychiatric disorders probably have a variety of adverse consequences. The results presented here show that truncated educational attainment is one of them. Debate concerning whether society can afford universal insurance coverage for the treatment of mental disorders needs to take these consequences into consideration.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                3 March 2015
                2015
                : 10
                : 3
                : e0118935
                Affiliations
                [1 ]Department of Biological Psychology, VU University Amsterdam, Amsterdam, The Netherlands
                [2 ]Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
                [3 ]EMGO+ Institute for Health and Care Research, Amsterdam, The Netherlands
                [4 ]Avera Institute for Human Genetics, Avera McKennan Hospital & University Health Center, Sioux Falls, South Dakota, United States of America
                [5 ]Department of Genetics, Rutgers, The State University of New Jersey, Piscataway, New Jersey, United States of America
                [6 ]Department of Genetics, University of North Carolina, Chapel Hill, North Carolina, United States of America
                [7 ]Department of Psychiatry, VU University Medical Center, Amsterdam, Netherlands
                Johns Hopkins Bloomberg School of Public Health, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: AA GED PFS BWJHP EJG DIB. Performed the experiments: EAE AB. Analyzed the data: AA. Contributed reagents/materials/analysis tools: GW MB TVB EAE. Wrote the paper: AA JJH BWJHP EJG DIB.

                Article
                PONE-D-14-32766
                10.1371/journal.pone.0118935
                4347978
                25734509
                fe93db10-4c13-4421-8c99-2e25a2d0c00e
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 22 July 2014
                : 7 January 2015
                Page count
                Figures: 3, Tables: 4, Pages: 14
                Funding
                This work was supported by the Netherlands Organization for Scientific Research (NWO: MagW/ZonMW grants 904-61-090, 985-10-002,904-61-193,480-04-004, 400-05-717, Addiction-31160008 Middelgroot-911-09-032, Spinozapremie 56-464-14192, Geestkracht program grant 10-000-1002), Center for Medical Systems Biology (CMSB, NWO Genomics; http://www.cmsb.nl/), NBIC/BioAssist/RK(2008.024), Biobanking and Biomolecular Resources Research Infrastructure (BBMRI -NL, 184.021.007), the VU University’s Institute for Health and Care Research (EMGO+, http://www.emgo.nl) and Neuroscience Campus Amsterdam (NCA, http://www.neurosciencecampus-amsterdam.nl), the European Science Foundation (ESF, EU/QLRT-2001-01254), the European Community's Seventh Framework Program (FP7/2007-2013), ENGAGE (HEALTH-F4-2007-201413); the European Science Council (ERC Advanced, 230374), Rutgers University Cell and DNA Repository (NIMH U24 MH068457-06), the Avera Institute for Human Genetics, Sioux Falls, South Dakota (USA) and the National Institutes of Health (NIH, R01D0042157-01A). Part of the genotyping was funded by the Genetic Association Information Network (GAIN) of the Foundation for the US National Institutes of Health (NIMH, MH081802) and by the Grand Opportunity grants 1RC2MH089951-01 and 1RC2 MH089995-01 from the NIMH. AA was supported by CSMB ( http://www.cmsb.nl/). Most statistical analyses were carried out on the Genetic Cluster Computer ( http://www.geneticcluster.org), which is financially supported by the Netherlands Scientific Organization (NWO 480-05-003), the Dutch Brain Foundation, and the department of Psychology and Education of the VU University Amsterdam. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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                The Affymetrix Human Genome-Wide SNP 6.0 Array genotypes from the Dutch subjects in this study are available on dbGaP with the title Integration of Genomics & Transcriptomics in Normal Twins & Major Depression (#phs 000486.v1.p1) and Genomics of Developmental Trajectories in Twins ( http://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000486.v1.p1), together with phenotypic data on educational attainment.

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