Socio-Genomic Research Using Genome-Wide Molecular Data

Literature Cited

1. Alesina A, La Ferrara E. 2005. Ethnic diversity and economic performance. J. Econ. Lit. 43:3762–800 [Google Scholar]
2. Ashraf Q, Galor O. 2013. The “out of Africa” hypothesis, human genetic diversity, and comparative economic development. Am. Econ. Rev. 103:11–46 [Google Scholar]
3. Bataille V, Snieder H, MacGregor AJ, Sasieni P, Spector TD. 2002. Theinfluenceofgeneticsand environmental factors in the pathogenesis of acne: a twin study of acne in women. J. Investig. Dermatol. 119:61317–22 [Google Scholar]
4. Batouli SAH, Trollor JN, Wen W, Sachdev PS. 2014. The heritability of volumes of brain structures and its relationship to age: a review of twin and family studies. Ageing Res. Rev. 13:1–9 [Google Scholar]
5. Belsky DW, Moffitt TE, Baker TB, Biddle AK, Evans JP. et al. 2013b. Polygenic risk and the development progression to heavy, persistent smoking and nicotine dependence: evidence from a 4-decade long longitudinal study. JAMA Psychiatry 70:5534–42 [Google Scholar]
6. Belsky DW, Moffitt TE, Houts R, Bennett GG, Biddle AK. et al. 2012. Polygenic risk, rapid childhood growth, and the development of obesity: evidence from a 4-decade longitudinal study. Arch. Pediatr. Adolesc. Med. 166:6515–21 [Google Scholar]
7. Belsky DW, Sears MR, Hancox RJ, Harrington H, Houts R. et al. 2013a. Polygenic risk and the development and course of asthma: an analysis of data from a four-decade longitudinal study. Lancet Respir. Med. 1:6453–61 [Google Scholar]
8. Benjamin DJ, Cesarini D, Chabris CF, Glaeser EL, Laibson DI. 2012a. The promises and pitfalls of genomics. Annu. Rev. Econ. 4:627–62 [Google Scholar]
9. Benjamin DJ, Cesarini D, van der Loos MJHM, Dawes CT, Koellinger PD. et al. 2012b. The genetic architecture of economic and political preferences. PNAS 109:218026–31 [Google Scholar]
10. Björklund AM, Eriksson T, Jäntti M, Raaum O, Österbacka E. 2002. Brother correlations in earnings in Denmark, Finland, Norway and Sweden compared to the United States. J. Pop. Econ. 15:4757–72 [Google Scholar]
11. Björklund AM, Lindahl M, Plug E. 2006. The origins of intergenerational associations: lessons from Swedish adoption data. Q. J. Econ. 121:3999–1028 [Google Scholar]
12. Blau PM, Duncan OD. 1967. The American Occupational Structure. New York: Free Press [Google Scholar]
13. Boardman JD, Domingue BW, Fletcher JM. 2012. How social and genetic factors predict friendship networks. PNAS 109:4317377–81 [Google Scholar]
14. Cardon LR, Palmer LJ. 2003. Population stratification and spurious allelic association. Lancet 361:9357598–604 [Google Scholar]
15. Caspi A, McClay J, Moffitt TE, Mill J, Martin J. et al. 2002. Role of genotype in the cycle of violence in maltreated children. Science 297:5582851–54 [Google Scholar]
16. Caspi A, Sugden K, Moffitt TE, Taylor A, Craig IW. et al. 2003. Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science 301:5631386–89 [Google Scholar]
17. Cavalli-Sforza LL, Menozzi P, Piazza A. 1994. The History and Geography of Human Genes Princeton, NJ: Princeton Univ. Press [Google Scholar]
18. Chabris CF, Hebert BM, Benjamin DJ, Beauchamp JP, Cesarini D. et al. 2012. Most reported genetic associations with general intelligence are probably false positives. Psychol. Sci. 23:111314–23 [Google Scholar]
19. Chatterjee N, Wheeler B, Sampson J, Hartge P, Chanock SJ, Park JH. 2013. Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studies. Nat. Genet. 45:4400–5 [Google Scholar]
20. Cochran G, Harpending H. 2009. The 10,000 Year Explosion: How Civilization Accelerated Human Evolution New York: Basic Books [Google Scholar]
21. Conley D. 2009. The promise and challenges of incorporating genetic data into longitudinal social science surveys and research. Biodemography Soc. Biol. 55:2238–51 [Google Scholar]
22. Conley D, Domingue BW, Cesarini D, Dawes C, Rietveld CA, Boardman JD. 2015. Is the effect of parental education on offspring biased or moderated by genotype?. Soc. Sci. 2:82–105 [Google Scholar]
23. Conley D, Rauscher E. 2013. Genetic interactions with prenatal social environment effects on academic and behavioral outcomes. J. Health Soc. Behav. 54:1109–27 [Google Scholar]
24. Conley D, Rauscher E, Dawes C, Magnusson PK, Siegal ML. 2013. Heritability and the equal environments assumption: evidence from multiple samples of misclassified twins. Behav. Genet. 43:5415–26 [Google Scholar]
25. Conley D, Siegal ML, Domingue BW, Harris KM, McQueen MB, Boardman JD. 2014. Testing the key assumption of heritability estimates based on genome-wide genetic relatedness. J. Hum. Genet. 59:6342–45 [Google Scholar]
26. Cook CJ. 2014. The role of lactase persistence in precolonial development. J. Econ. Growth 19:4369–406 [Google Scholar]
27. Cook CJ. 2015. The natural selection of infectious disease resistance and its effect on contemporary health. Rev. Econ. Stat. 97:4742–57 [Google Scholar]
28. Cook CJ, Fletcher JM. 2013. Understanding heterogeneity in the effects of birth weight on adult outcomes Work. Pap. 20895, Natl. Bur. Econ. Res., Cambridge, MA [Google Scholar]
29. Cook CJ, Fletcher JM. 2015. Genetic diversity and economic outcomes: a novel test of a controversial hypothesis Work. Pap., Univ. Wisconsin–Madison [Google Scholar]
30. Corcoran M, Gordon R, Laren D, Solon G. 1992. The association between men's economic status and their family and community origins. J. Hum. Resour. 27:4575–601 [Google Scholar]
31. Daetwyler HD, Villanueva B, Woolliams JA. 2008. Accuracy of predicting the genetic risk of disease using a genome-wide approach. PLOS ONE 3:10e3395 [Google Scholar]
32. Daw J. 2015. Explaining the persistence of health disparities: social stratification and the efficiency-equity trade-off in the kidney transplantation system. Am. J. Sociol. 120:61595–640 [Google Scholar]
33. Domingue BW, Conley D, Fletcher J, Boardman JD. 2016. Cohort effects in the genetic influence on smoking. Behav. Genet. 46:131–42 [Google Scholar]
34. Domingue BW, Fletcher J, Conley D, Boardman JD. 2014. Genetic and educational assortative mating among US adults. PNAS 111:227996–8000 [Google Scholar]
35. Dudbridge F. 2013. Power and predictive accuracy of polygenic risk scores. PLOS Genet. 9:3e1003348 [Google Scholar]
36. Fletcher JM. 2012. Why have tobacco control policies stalled? Using genetic moderation to examine policy impacts. PLOS ONE 7:12e50576 [Google Scholar]
37. Fowler JH, Settle JE, Christakis NA. 2011. Correlated genotypes in friendship networks. PNAS 108:51993–97 [Google Scholar]
38. Goldberger AS. 1979. Heritability. Economica 46:184327–47 [Google Scholar]
39. Gould SJ. 2000. The spice of life: an interview with Stephen Jay Gould. Lead. Lead. 15:14–19 [Google Scholar]
40. Guo G, Fu Y, Lee H, Cai T, Harris KM, Li Y. 2014. Genetic bio-ancestry and social construction of racial classification in social surveys in the contemporary United States. Demography 51:1141–72 [Google Scholar]
41. Guo G, Stearns E. 2002. The social influences on the realization of genetic potential for intellectual development. Soc. Forces 80:3881–910 [Google Scholar]
42. Hamer D, Sirota L. 2000. Beware the chopsticks gene. Mol. Psychiatry 5:111–13 [Google Scholar]
43. Hauser RM, Sewell WH. 1986. Family effects in simple models of education, occupational status, and earnings: findings from the Wisconsin and Kalamazoo studies. J. Labor Econ. 4:383–115 [Google Scholar]
44. Hauser RM, Sheridan JT, Warren JR. 1999. Socioeconomic achievements of siblings in the life course: new findings from the Wisconsin longitudinal study. Res. Aging 21:2338–78 [Google Scholar]
45. Heath AC, Berg K, Eaves LJ, Solaas MH, Corey LA. et al. 1985. Education policy and the heritability of educational attainment. Nature 314:734–36 [Google Scholar]
46. Hewitt JK. 2012. Editorial policy on candidate gene association and candidate gene-by-environment interaction studies of complex traits. Behav. Genet. 42:11–2 [Google Scholar]
47. Kang HM, Sul JH, Service SK, Zaitlen NA, Kong SY. et al. 2010. Variance component model to account for sample structure in genome-wide association studies. Nat. Genet. 42:4348–54 [Google Scholar]
48. Karg K, Burmeister M, Shedden K, Sen S. 2011. The serotonin transporter promoter variant (5-HTTLPR), stress, and depression meta-analysis revisited: evidence of genetic moderation. Arch. Gen. Psychiatry 68:5444–54 [Google Scholar]
49. Kuo HD, Hauser RM. 1995. Trends in family effects on the education of black and white brothers. Soc. Educ. 68:2136–60 [Google Scholar]
50. Lee PH, O'Dushlaine C, Thomas B, Purcell SM. 2012. INRICH: interval-based enrichment analysis for genome-wide association studies. BMC Bioinformatics 28:131797–99 [Google Scholar]
51. McCarthy MI, Abecasis GR, Cardon LR, Goldstein DB, Little J. et al. 2008. Genome-wide association studies for complex traits: consensus, uncertainty and challenges. Nat. Rev. Genet. 9:5356–69 [Google Scholar]
52. Milot E, Mayer FM, Nussey DH, Boisvert M, Pelletier F, Ráele D. 2011. Evidence for evolution in response to natural selection in a contemporary human population. PNAS 108:4117040–45 [Google Scholar]
53. Nielsen F. 2006. Achievement and ascription in educational attainment: genetic and environmental influences on adolescent schooling. Soc. Forces 85:1193–216 [Google Scholar]
54. Nielsen F. 2008. The nature of social reproduction: two paradigms of social mobility. Sociologica 3:1–35 [Google Scholar]
55. Ollier W, Sprosen T, Peakman T. 2005. UK biobank: from concept to reality. Pharmacogenomics 6:6639–46 [Google Scholar]
56. Olneck MR. 1976. On the use of sibling data to estimate the effects of family background, cognitive skills, and schooling: results from the Kalamazoo brothers study Work. Pap., Inst. Res. Poverty, Univ. Wisconsin-Madison, Madison, WI [Google Scholar]
57. Page MR, Solon G. 2003. Correlations between brothers and neighboring boys in their adult earnings: the importance of being urban. J. Labor Econ. 21:4831–55 [Google Scholar]
58. Peyrot WJ, Lee SH, Milaneschi Y, Abdellaoui A, Byrne EM. et al. 2015. The association between lower educational attainment and depression owing to shared genetic effects? Results in ∼25,000 subjects. Mol. Psychiatry 20:6735–43 [Google Scholar]
59. Platt A, Pullum S, Lewis D, Hall A, Ollier W. 2010. The UK DNA banking network: a “fair access” biobank. Cell Tissue Bank. 11:3241–51 [Google Scholar]
60. Plomin R. 2009. The nature of nurture. Experience and Development: A Festschrift in Honor of Sandra Wood Scarr K McCartney, RA Weinberg 61–80 New York: Taylor & Francis [Google Scholar]
61. Plomin R, Owen MJ, McGuffin P. 1994. The genetic basis of complex human behaviors. Science 264:51661733–39 [Google Scholar]
62. Plug E. 2004. Estimating the effect of mother's schooling on children's schooling using a sample of adoptees. Am. Econ. Rev. 94:1358–68 [Google Scholar]
63. Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D. 2006. Principal components analysis corrects for stratification in genome-wide association studies. Nat. Genet. 38:8904–9 [Google Scholar]
64. Purcell SM, Wray NM, Stone JL, Visscher PM, O'Donovan PM. et al. 2009. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature 460:7256748–52 [Google Scholar]
65. Rietveld CA, Hessels J, van der Zwan P. 2015. The stature of the self-employed and its relation with earnings and satisfaction. Econ. Hum. Biol. 17:59–74 [Google Scholar]
66. Rietveld CA, Medland SE, Derringer J, Yang J. 2013. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science 340:61391467–71 [Google Scholar]
67. Risch N, Herrell R, Lehner T, Liang KY, Eaves L. et al. 2009. Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression: a meta-analysis. JAMA 301:232462–71 [Google Scholar]
68. Rønningen KS, Paltiel L, Meltzer HM, Nordhagen R, Lie KL. et al. 2006. The biobank of the Norwegian mother and child cohort study: a resource for the next 100 years. Eur. J. Epidemiol. 21:8619–25 [Google Scholar]
69. Sacerdote B. 2007. How large are the effects from changes in family environment? A study of Korean American adoptees. Q. J. Econ. 122:1119–57 [Google Scholar]
70. Sankararaman S, Mallick S, Dannemann M, Prüfer K, Kelso J. et al. 2014. The genomic landscape of Neanderthal ancestry in present-day humans. Nature 507:354–57 [Google Scholar]
71. Scarr S, Carter-Saltzman L. 1979. Twin method: defense of a critical assumption. Behav. Genet. 9:6527–42 [Google Scholar]
72. Schmitz L, Conley D. 2015. The long-term consequences of Vietnam-era conscription and genotype on smoking behavior and health. Behav. Genet. 46:43–58 [Google Scholar]
73. Schwartz CR, Han H. 2014. The reversal of the gender gap in education and trends in marital dissolution. Am. Sociol. Rev. 79:4605–29 [Google Scholar]
74. Sieradzka D, Power RA, Freeman D, Cardno AG, Dudbrige F, Ronald A. 2015. Heritability of individual psychotic experiences captured by common genetic variants in a community sample of adolescents. Behav. Genet. 45:5493–502 [Google Scholar]
75. Silventoinen K, Rokholm B, Kaprio J, Sørensen TIA. 2010. The genetic and environmental influences on childhood obesity: a systematic review of twin and adoption studies. Int. J. Obes. 34:129–40 [Google Scholar]
76. Spolaore E, Wacziarg R. 2009. War and relatedness Work. Pap. 15095, Natl. Bur. Econ. Res., Cambridge, MA [Google Scholar]
77. Tishkoff SA, Reed FA, Friedlaender FR, Ehret C, Ranciaro A. et al. 2009. The genetic structure and history of Africans and African Americans. Science 324:59301035–44 [Google Scholar]
78. Turkheimer E, Haley A, Waldron M, D'Onofrio B, Gottesman II. 2003. Socioeconomic status modifies heritability of IQ in young children. Psychol. Sci. 14:6623–28 [Google Scholar]
79. Visscher PM, Yang J, Goddard ME. 2010. A commentary on “Common SNPs explain a large proportion of the heritability for human height” by Yang et al. 2010. Twin Res. Hum. Genet. 13:6517–24 [Google Scholar]
80. Wade N. 2014. A Troublesome Inheritance: Genes, Race and Human History London: Penguin [Google Scholar]
81. Warren JR, Hauser RM. 1997. Social stratification across three generations: new evidence from the Wisconsin longitudinal study. Am. Sociol. Rev. 62:4561–72 [Google Scholar]
82. Warren JR, Hauser RM, Sheridan JT. 2002. Occupational stratification across the life course: evidence from the Wisconsin longitudinal study. Am. Sociol. Rev. 67:3432–55 [Google Scholar]
83. Yang J, Banyamin B, McEvoy BP, Gordon S, Henders AK. et al. 2010. Common SNPs explain a large proportion of the heritability for human height. Nat. Genet. 42:7565–69 [Google Scholar]
84. Zuidhof MJ, Schneider BL, Carney VL, Korver DR, Robinson FE. 2014. Growth, efficiency, and yield of commercial broilers from 1957, 1978, and 2005. Poultry Sci. 93:122970–82 [Google Scholar]