The genetic architecture of economic and political preferences

被引:165
作者
Benjamin, Daniel J. [1 ]
Cesarini, David [2 ,3 ]
van der Loos, Matthijs J. H. M. [4 ]
Dawes, Christopher T. [5 ]
Koellinger, Philipp D. [4 ]
Magnusson, Patrik K. E. [6 ]
Chabris, Christopher F. [7 ]
Conley, Dalton [8 ]
Laibson, David [9 ]
Johannesson, Magnus [10 ]
Visscher, Peter M. [11 ]
机构
[1] Cornell Univ, Dept Econ, Ithaca, NY 14853 USA
[2] NYU, Ctr Expt Social Sci, Dept Econ, New York, NY 10012 USA
[3] Res Inst Ind Econ, SE-10215 Stockholm, Sweden
[4] Erasmus Univ, Erasmus Sch Econ, Dept Appl Econ, NL-3000 DR Rotterdam, Netherlands
[5] NYU, Dept Polit, New York, NY 10012 USA
[6] Karolinska Inst, Dept Med Epidemiol & Biostat, SE-17177 Stockholm, Sweden
[7] Union Coll, Dept Psychol, Schenectady, NY 12308 USA
[8] NYU, Dept Sociol, New York, NY 10012 USA
[9] Harvard Univ, Dept Econ, Cambridge, MA 02138 USA
[10] Stockholm Sch Econ, Dept Econ, SE-11383 Stockholm, Sweden
[11] Univ Queensland, Diamantina Inst, Princess Alexandra Hosp, Woolloongabba, Qld 4102, Australia
基金
澳大利亚研究理事会; 瑞典研究理事会; 美国国家卫生研究院; 英国医学研究理事会;
关键词
genoeconomics; genopolitics; GCTA; GENOME-WIDE ASSOCIATION; COMMON SNPS EXPLAIN; MISSING HERITABILITY; LARGE PROPORTION; COMPLEX TRAITS; SOCIAL-SCIENCE; CANDIDATE GENE; HUMAN HEIGHT; DETERMINANTS; ENVIRONMENT;
D O I
10.1073/pnas.1120666109
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Preferences are fundamental building blocks in all models of economic and political behavior. We study a new sample of comprehensively genotyped subjects with data on economic and political preferences and educational attainment. We use dense single nucleotide polymorphism (SNP) data to estimate the proportion of variation in these traits explained by common SNPs and to conduct genome-wide association study (GWAS) and prediction analyses. The pattern of results is consistent with findings for other complex traits. First, the estimated fraction of phenotypic variation that could, in principle, be explained by dense SNP arrays is around one-half of the narrow heritability estimated using twin and family samples. The molecular-genetic-based heritability estimates, therefore, partially corroborate evidence of significant heritability from behavior genetic studies. Second, our analyses suggest that these traits have a polygenic architecture, with the heritable variation explained by many genes with small effects. Our results suggest that most published genetic association studies with economic and political traits are dramatically underpowered, which implies a high false discovery rate. These results convey a cautionary message for whether, how, and how soon molecular genetic data can contribute to, and potentially transform, research in social science. We propose some constructive responses to the inferential challenges posed by the small explanatory power of individual SNPs.
引用
收藏
页码:8026 / 8031
页数:6
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