Social Science Genetic Association Consortium

The Social Science Genetic Association Consortium, abbreviated SSGAC, is a consortium of scientists dedicated to studying the role of genetics in important life outcomes in the social sciences. It has received media coverage for its research looking for genetic variants associated with educational attainment. For instance, the Consortium's first study, published in 2013, found three such variants in a sample of 101,000 people.

The SSGAC was founded by Daniel Benjamin (University of Southern California), David Cesarini (New York University), and Philipp Koellinger (VU Amsterdam). According to Benjamin, "One major impetus for the formation of the SSGAC was the growing recognition that most effects of individual genetic markers on behavioral traits are very small and that, consequently, very large samples are required to accurately detect them". It was founded during a meeting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium on February 12, 2011. The SSGAC continues operates with support from CHARGE. Provided by Wikipedia
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  1. 1
    Genetic variation associated with differential educational attainment in adults has anticipated associations with school performance in children.

    Genetic variation associated with differential educational attainment in adults has anticipated associations with school performance in children. by Mary E Ward, George McMahon, Beate St Pourcain, David M Evans, Cornelius A Rietveld, Daniel J Benjamin, Philipp D Koellinger, David Cesarini, Social Science Genetic Association Consortium, George Davey Smith, Nicholas J Timpson

    Published 2014-01-01
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    Article
  2. 2
    Genetic variants linked to education predict longevity

    Genetic variants linked to education predict longevity by Marioni, R, Ritchie, S, Joshi, P, Hagenaars, S, Okbay, A, Fischer, K, Adams, M, Hill, W, Davies, G, Social Science Genetic Association Consortium, Nagy, R, Amador, C, Läll, K, Metspalu, A, Liewald, D, Campbell, A, Wilson, J, Hayward, C, Esko, T, Porteous, D, Gale, C, Deary, I

    Published 2016
    Journal article
  3. 3
    Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals

    Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals by Lee, JJ, Wedow, R, Okbay, A, Kong, E, Maghzian, O, Zacher, M, Nguyen-Viet, TA, Bowers, P, Sidorenko, J, Linnér, R, Fontana, MA, Kundu, T, Lee, C, Li, H, Li, R, Royer, R, Timshel, PN, Walters, RK, Willoughby, EA, Yengo, L, 23andMe Research Team, COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Alver, M, Bao, Y, Clark, DW, Day, FR, Furlotte, NA, Joshi, PK, Kemper, KE, Kleinman, A, Langenberg, C, Mägi, R, Trampush, JW, Verma, SS, Wu, Y, Lam, M, Zhao, JH, Zheng, Z, Boardman, JD, Campbell, H, Freese, J, Harris, KM, Hayward, C, Herd, P, Kumari, M, Lencz, T, Luan, J, Malhotra, AK, Metspalu, A, Milani, L, Ong, KK, Perry, JRB, Porteous, DJ, Ritchie, MD, Smart, MC, Smith, BH, Tung, JY, Wareham, NJ, Wilson, JF, Beauchamp, JP, Conley, DC, Esko, T, Lehrer, SF, Magnusson, PKE, Oskarsson, S, Pers, TH, Robinson, MR, Thom, K, Watson, C, Chabris, CF, Meyer, MN, Laibson, DI, Yang, J, Johannesson, M, Koellinger, PD, Turley, P, Visscher, PM, Benjamin, DJ, Cesarini, D

    Published 2018
    Journal article
  4. 4
    Within-sibship GWAS of 25 phenotypes improve estimates of direct genetic effects

    Within-sibship GWAS of 25 phenotypes improve estimates of direct genetic effects by Howe, LJ, Nivard, MG, Morris, TT, Chen, Z, Lin, K, Mills, MC, Millwood, I, Walters, R, Et al.

    Published 2022
    Other Authors: “…Social Science Genetic Association Consortium…”
    Journal article

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