Comparison of Adopted and Nonadopted Individuals Reveals Gene-Environment Interplay for Education in the UK Biobank

被引:55
作者
Cheesman, Rosa [1 ]
Hunjan, Avina [1 ,2 ]
Coleman, Jonathan R. I. [1 ,2 ]
Ahmadzadeh, Yasmin [1 ]
Plomin, Robert [1 ]
McAdams, Tom A. [1 ]
Eley, Thalia C. [1 ,2 ]
Breen, Gerome [1 ,2 ]
机构
[1] Kings Coll London, Inst Psychiat Psychol & Neurosci, Social Genet & Dev Psychiat Ctr, London SE5 8AF, England
[2] South London & Maudsley Natl Hlth Serv NHS Trust, Biomed Res Ctr Mental Hlth, NIHR, London, England
基金
英国惠康基金; 英国医学研究理事会; 英国经济与社会研究理事会;
关键词
educational attainment; polygenic scores; gene-environment interplay; adoption; LD SCORE REGRESSION; HERITABILITY;
D O I
10.1177/0956797620904450
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Polygenic scores now explain approximately 10% of the variation in educational attainment. However, they capture not only genetic propensity but also information about the family environment. This is because of passive gene-environment correlation, whereby the correlation between offspring and parent genotypes results in an association between offspring genotypes and the rearing environment. We measured passive gene-environment correlation using information on 6,311 adoptees in the UK Biobank. Adoptees' genotypes were less correlated with their rearing environments because they did not share genes with their adoptive parents. We found that polygenic scores were twice as predictive of years of education in nonadopted individuals compared with adoptees (R(2)s = .074 vs. .037, p = 8.23 x 10(-24)). Individuals in the lowest decile of polygenic scores for education attained significantly more education if they were adopted, possibly because of educationally supportive adoptive environments. Overall, these results suggest that genetic influences on education are mediated via the home environment.
引用
收藏
页码:582 / 591
页数:10
相关论文
共 40 条
[31]   Comparing Within- and Between-Family Polygenic Score Prediction [J].
Selzam, Saskia ;
Ritchie, Stuart J. ;
Pingault, Jean-Baptiste ;
Reynolds, Chandra A. ;
O'Reilly, Paul F. ;
Plomin, Robert .
AMERICAN JOURNAL OF HUMAN GENETICS, 2019, 105 (02) :351-363
[32]  
TURKHEIMER E, 1991, PSYCHOL BULL, V110, P392
[33]   Adoption and cognitive development: A meta-analytic comparison of adopted and nonadopted children's IQ and school performance [J].
van Ijzendoorn, MH ;
Juffer, F ;
Poelhuis, CWK .
PSYCHOLOGICAL BULLETIN, 2005, 131 (02) :301-316
[34]   Using DNA From Mothers and Children to Study Parental Investment in Children's Educational Attainment [J].
Wertz, Jasmin ;
Moffitt, Terrie E. ;
Agnew-Blais, Jessica ;
Arseneault, Louise ;
Belsky, Daniel W. ;
Corcoran, David L. ;
Houts, Renate ;
Matthews, Timothy ;
Prinz, Joseph A. ;
Richmond-Rakerd, Leah S. ;
Sugden, Karen ;
Williams, Benjamin ;
Caspi, Avshalom .
CHILD DEVELOPMENT, 2020, 91 (05) :1745-1761
[35]   Genetics of Nurture: A Test of the Hypothesis That Parents' Genetics Predict Their Observed Caregiving [J].
Wertz, Jasmin ;
Belsky, Jay ;
Moffitt, Terrie E. ;
Belsky, Daniel W. ;
Harrington, HonaLee ;
Avinun, Reut ;
Poulton, Richie ;
Ramrakha, Sandhya ;
Caspi, Avshalom .
DEVELOPMENTAL PSYCHOLOGY, 2019, 55 (07) :1461-1472
[36]   METAL: fast and efficient meta-analysis of genomewide association scans [J].
Willer, Cristen J. ;
Li, Yun ;
Abecasis, Goncalo R. .
BIOINFORMATICS, 2010, 26 (17) :2190-2191
[37]   Defining the role of common variation in the genomic and biological architecture of adult human height [J].
Wood, Andrew R. ;
Esko, Tonu ;
Yang, Jian ;
Vedantam, Sailaja ;
Pers, Tune H. ;
Gustafsson, Stefan ;
Chun, Audrey Y. ;
Estrada, Karol ;
Luan, Jian'an ;
Kutalik, Zoltan ;
Amin, Najaf ;
Buchkovich, Martin L. ;
Croteau-Chonka, Damien C. ;
Day, Felix R. ;
Duan, Yanan ;
Fall, Tove ;
Fehrmann, Rudolf ;
Ferreira, Teresa ;
Jackson, Anne U. ;
Karjalainen, Juha ;
Lo, Ken Sin ;
Locke, Adam E. ;
Maegi, Reedik ;
Mihailov, Evelin ;
Porcu, Eleonora ;
Randall, Joshua C. ;
Scherag, Andre ;
Vinkhuyzen, Anna A. E. ;
Westra, Harm-Jan ;
Winkler, Thomas W. ;
Workalemahu, Tsegaselassie ;
Zhao, Jing Hua ;
Absher, Devin ;
Albrecht, Eva ;
Anderson, Denise ;
Baron, Jeffrey ;
Beekman, Marian ;
Demirkan, Ayse ;
Ehret, Georg B. ;
Feenstra, Bjarke ;
Feitosa, Mary F. ;
Fischer, Krista ;
Fraser, Ross M. ;
Goel, Anuj ;
Gong, Jian ;
Justice, Anne E. ;
Kanoni, Stavroula ;
Kleber, Marcus E. ;
Kristiansson, Kati ;
Lim, Unhee .
NATURE GENETICS, 2014, 46 (11) :1173-1186
[38]   GCTA: A Tool for Genome-wide Complex Trait Analysis [J].
Yang, Jian ;
Lee, S. Hong ;
Goddard, Michael E. ;
Visscher, Peter M. .
AMERICAN JOURNAL OF HUMAN GENETICS, 2011, 88 (01) :76-82
[39]   Relatedness disequilibrium regression estimates heritability without environmental bias [J].
Young, Alexander I. ;
Frigge, Michael L. ;
Gudbjartsson, Daniel F. ;
Thorleifsson, Gudmar ;
Bjornsdottir, Gyda ;
Sulem, Patrick ;
Masson, Gisli ;
Thorsteinsdottir, Unnur ;
Stefansson, Kari ;
Kong, Augustine .
NATURE GENETICS, 2018, 50 (09) :1304-+
[40]   LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis [J].
Zheng, Jie ;
Erzurumluoglu, A. Mesut ;
Elsworth, Benjamin L. ;
Kemp, John P. ;
Howe, Laurence ;
Haycock, Philip C. ;
Hemani, Gibran ;
Tansey, Katherine ;
Laurin, Charles ;
St Pourcain, Beate ;
Warrington, Nicole M. ;
Finucane, Hilary K. ;
Price, Alkes L. ;
Bulik-Sullivan, Brendan K. ;
Anttila, Verneri ;
Paternoster, Lavinia ;
Gaunt, Tom R. ;
Evans, David M. ;
Neale, Benjamin M. .
BIOINFORMATICS, 2017, 33 (02) :272-279