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      Social and Genetic Pathways in Multigenerational Transmission of Educational Attainment

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      American Sociological Review
      SAGE Publications

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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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            Cultural Capital and School Success: The Impact of Status Culture Participation on the Grades of U.S. High School Students

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              Socioeconomic Status Modifies Heritability of IQ in Young Children

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                Author and article information

                Journal
                American Sociological Review
                Am Sociol Rev
                SAGE Publications
                0003-1224
                1939-8271
                March 15 2018
                April 2018
                March 09 2018
                April 2018
                : 83
                : 2
                : 278-304
                Affiliations
                [1 ]University of Cincinnati
                Article
                10.1177/0003122418759651
                04a4846f-382e-421d-909f-8e7b0649c0ef
                © 2018

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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