Literature DB >> 23482589

The Promises and Pitfalls of Genoeconomics*

Daniel J Benjamin1, David Cesarini, Christopher F Chabris, Edward L Glaeser, David I Laibson, Vilmundur Guðnason, Tamara B Harris, Lenore J Launer, Shaun Purcell, Albert Vernon Smith, Magnus Johannesson, Patrik K E Magnusson, Jonathan P Beauchamp, Nicholas A Christakis, Craig S Atwood, Benjamin Hebert, Jeremy Freese, Robert M Hauser, Taissa S Hauser, Alexander Grankvist, Christina M Hultman, Paul Lichtenstein.   

Abstract

This article reviews existing research at the intersection of genetics and economics, presents some new findings that illustrate the state of genoeconomics research, and surveys the prospects of this emerging field. Twin studies suggest that economic outcomes and preferences, once corrected for measurement error, appear to be about as heritable as many medical conditions and personality traits. Consistent with this pattern, we present new evidence on the heritability of permanent income and wealth. Turning to genetic association studies, we survey the main ways that the direct measurement of genetic variation across individuals is likely to contribute to economics, and we outline the challenges that have slowed progress in making these contributions. The most urgent problem facing researchers in this field is that most existing efforts to find associations between genetic variation and economic behavior are based on samples that are too small to ensure adequate statistical power. This has led to many false positives in the literature. We suggest a number of possible strategies to improve and remedy this problem: (a) pooling data sets, (b) using statistical techniques that exploit the greater information content of many genes considered jointly, and (c) focusing on economically relevant traits that are most proximate to known biological mechanisms.

Entities:  

Keywords:  GWAS; genetics; heritability

Year:  2012        PMID: 23482589      PMCID: PMC3592970          DOI: 10.1146/annurev-economics-080511-110939

Source DB:  PubMed          Journal:  Annu Rev Econom        ISSN: 1941-1383


  76 in total

1.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

Review 2.  The genetics of type 2 diabetes: what have we learned from GWAS?

Authors:  Liana K Billings; Jose C Florez
Journal:  Ann N Y Acad Sci       Date:  2010-11       Impact factor: 5.691

Review 3.  From GWAS to biology: lessons from FTO.

Authors:  Yi-Chun Loraine Tung; Giles S H Yeo
Journal:  Ann N Y Acad Sci       Date:  2011-03       Impact factor: 5.691

4.  Editorial policy on candidate gene association and candidate gene-by-environment interaction studies of complex traits.

Authors:  John K Hewitt
Journal:  Behav Genet       Date:  2011-09-18       Impact factor: 2.805

5.  Age, Gene/Environment Susceptibility-Reykjavik Study: multidisciplinary applied phenomics.

Authors:  Tamara B Harris; Lenore J Launer; Gudny Eiriksdottir; Olafur Kjartansson; Palmi V Jonsson; Gunnar Sigurdsson; Gudmundur Thorgeirsson; Thor Aspelund; Melissa E Garcia; Mary Frances Cotch; Howard J Hoffman; Vilmundur Gudnason
Journal:  Am J Epidemiol       Date:  2007-03-10       Impact factor: 4.897

6.  An obesity-associated FTO gene variant and increased energy intake in children.

Authors:  Joanne E Cecil; Roger Tavendale; Peter Watt; Marion M Hetherington; Colin N A Palmer
Journal:  N Engl J Med       Date:  2008-12-11       Impact factor: 91.245

7.  Meta-analysis of the cognitive effects of the catechol-O-methyltransferase gene Val158/108Met polymorphism.

Authors:  Jennifer H Barnett; Linda Scoriels; Marcus R Munafò
Journal:  Biol Psychiatry       Date:  2008-03-14       Impact factor: 13.382

8.  Apolipoprotein E: high-avidity binding to beta-amyloid and increased frequency of type 4 allele in late-onset familial Alzheimer disease.

Authors:  W J Strittmatter; A M Saunders; D Schmechel; M Pericak-Vance; J Enghild; G S Salvesen; A D Roses
Journal:  Proc Natl Acad Sci U S A       Date:  1993-03-01       Impact factor: 11.205

9.  Dopamine D4 receptor gene associated with fairness preference in ultimatum game.

Authors:  Songfa Zhong; Salomon Israel; Idan Shalev; Hong Xue; Richard P Ebstein; Soo Hong Chew
Journal:  PLoS One       Date:  2010-11-03       Impact factor: 3.240

10.  Financial and psychological risk attitudes associated with two single nucleotide polymorphisms in the nicotine receptor (CHRNA4) gene.

Authors:  Brian E Roe; Michael R Tilley; Howard H Gu; David Q Beversdorf; Wolfgang Sadee; Timothy C Haab; Audrey C Papp
Journal:  PLoS One       Date:  2009-08-20       Impact factor: 3.240

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  34 in total

1.  The genetic architecture of economic and political preferences.

Authors:  Daniel J Benjamin; David Cesarini; Matthijs J H M van der Loos; Christopher T Dawes; Philipp D Koellinger; Patrik K E Magnusson; Christopher F Chabris; Dalton Conley; David Laibson; Magnus Johannesson; Peter M Visscher
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-07       Impact factor: 11.205

2.  Molecular genetics and subjective well-being.

Authors:  Cornelius A Rietveld; David Cesarini; Daniel J Benjamin; Philipp D Koellinger; Jan-Emmanuel De Neve; Henning Tiemeier; Magnus Johannesson; Patrik K E Magnusson; Nancy L Pedersen; Robert F Krueger; Meike Bartels
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-24       Impact factor: 11.205

3.  An epigenome-wide association study meta-analysis of educational attainment.

Authors:  R Karlsson Linnér; R E Marioni; C A Rietveld; A J Simpkin; N M Davies; K Watanabe; N J Armstrong; K Auro; C Baumbach; M J Bonder; J Buchwald; G Fiorito; K Ismail; S Iurato; A Joensuu; P Karell; S Kasela; J Lahti; A F McRae; P R Mandaviya; I Seppälä; Y Wang; L Baglietto; E B Binder; S E Harris; A M Hodge; S Horvath; M Hurme; M Johannesson; A Latvala; K A Mather; S E Medland; A Metspalu; L Milani; R L Milne; A Pattie; N L Pedersen; A Peters; S Polidoro; K Räikkönen; G Severi; J M Starr; L Stolk; M Waldenberger; J G Eriksson; T Esko; L Franke; C Gieger; G G Giles; S Hägg; P Jousilahti; J Kaprio; M Kähönen; T Lehtimäki; N G Martin; J B C van Meurs; M Ollikainen; M Perola; D Posthuma; O T Raitakari; P S Sachdev; E Taskesen; A G Uitterlinden; P Vineis; C Wijmenga; M J Wright; C Relton; G Davey Smith; I J Deary; P D Koellinger; D J Benjamin
Journal:  Mol Psychiatry       Date:  2017-10-31       Impact factor: 15.992

4.  Cohort of birth modifies the association between FTO genotype and BMI.

Authors:  James Niels Rosenquist; Steven F Lehrer; A James O'Malley; Alan M Zaslavsky; Jordan W Smoller; Nicholas A Christakis
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-29       Impact factor: 11.205

5.  Economics and genetics meet in uneasy union.

Authors:  Ewen Callaway
Journal:  Nature       Date:  2012-10-11       Impact factor: 49.962

6.  Genetic variation in health insurance coverage.

Authors:  George L Wehby; Dan Shane
Journal:  Int J Health Econ Manag       Date:  2018-11-12

7.  Genetic Endowments and Wealth Inequality.

Authors:  Daniel Barth; Nicholas W Papageorge; Kevin Thom
Journal:  J Polit Econ       Date:  2020-04

Review 8.  Cognitive genomics: Searching for the genetic roots of neuropsychological functioning.

Authors:  Carrie E Bearden; David C Glahn
Journal:  Neuropsychology       Date:  2017-11       Impact factor: 3.295

9.  Integrating work from genetics and the social sciences: an introduction.

Authors:  Jason M Fletcher; Jason D Boardman
Journal:  Biodemography Soc Biol       Date:  2013

10.  Conditions for the validity of SNP-based heritability estimation.

Authors:  James J Lee; Carson C Chow
Journal:  Hum Genet       Date:  2014-04-18       Impact factor: 4.132

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