Changing Polygenic Penetrance on Phenotypes in the 20th Century among Adults in the US Population

Scientific Reports

Volumn 6, Issue , 2016, Pages

  Conley, Dalton ^a   Laidley, Thomas M ^b   Boardman, Jason D ^c   Domingue, Benjamin W ^d  

^a PRINCETON UNIVERSITY   (United States)

^b NEW YORK UNIVERSITY   (United States)

^c UNIVERSITY OF COLORADO   (United States)

^d STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; GENETICS; GENOTYPE ENVIRONMENT INTERACTION; HEART DISEASE; HUMAN; MULTIFACTORIAL INHERITANCE; PENETRANCE; POPULATION; UNITED STATES;

ADULT; GENE-ENVIRONMENT INTERACTION; HEART DISEASES; HUMANS; MULTIFACTORIAL INHERITANCE; PENETRANCE; POPULATION; UNITED STATES;

EID: 84979520786     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep30348     Document Type: Review

References (36)

1. Purcell, S. et al. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature 460, 748-752 (2009).
2. Adkins, D. E. & Guo, G. Societal development and the shifting influence of the genome on status attainment. Res. Soc. Stratif. Mobil. 26, 235-255 (2008).
3. Gakidou, E., Cowling, K., Lozano, R. & Murray, C. J. L. Increased educational attainment and its effect on child mortality in 175 countries between 1970 and 2009: a systematic analysis. Lancet 376, 959-974 (2010).
4. Yang, Q. et al. Trends in cardiovascular health metrics and associations with all-cause and CVD mortality among US adults. JAMA 307, 1273-1283 (2012).
5. Carslake, D. et al. Associations of mortality rates with height using son's height as an instrumental variable. J. Epidemiol. Community Health 65, A26 (2011).
6. Wood, A. R. et al. Defining the role of common variation in the genomic and biological architecture of adult human height. Nat. Genet. 46, 1173-1186 (2014).
7. Locke, A. E. et al. Genetic studies of body mass index yield new insights for obesity biology. Nature 518, 197-206 (2015).
8. Ripke, S. et al. A mega-analysis of genome-wide association studies for major depressive disorder. Mol. Psychiatry 18, 497-511 (2013).
9. Rietveld, C. A. et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science 340, 1467-1471 (2013).
10. Schunkert, H. et al. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease. Nat. Genet. 43, 333-338 (2011).
11. Feldman, M. W. & Lewontin, R. C. The heritability hang-up. Science 190, 1163-1168 (1975).
12. Caspi, A. et al. Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene. Science 301, 386-389 (2003).
13. Fletcher, J. M. & Conley, D. The challenge of causal inference in gene-environment interaction research: leveraging research designs from the social sciences. Am. J. Public Health 103, S42-S45 (2013).
14. Schmitz, L. & Conley, D. The long-term consequences of Vietnam-era conscription and genotype on smoking behavior and health. Beh. Genet. 46, 43-58 (2016).
15. Domingue, B. W., Conley, D., Fletcher, J. & Boardman, J. D. Cohort effects in the genetic influence on smoking. Beh. Genet. 46, 31-42(2016).
16. Boardman, J. D. et al. Population composition, public policy, and the genetics of smoking. Demography 48, 1517-1533 (2011).
17. Fletcher, J. M. Why have tobacco control policies stalled? Using genetic moderation to examine policy impacts. PloS One 7, e50576 (2012).
18. Guo, G., Liu, H., Wang, L., Shen, H. & Hu, W. The genome-wide influence on human BMI depends on physical activity, life course, and historical period. Demography 52, 1651-1670 (2015).
19. Liu, H. & Guo, G. Lifetime socioeconomic status, historical context, and genetic inheritance in shaping body mass in middle and late adulthood. Am. Soc. Rev. 80, 705-737 (2015).
20. Branigan, A. R., McCallum, K. J. & Freese, J. Variation in the heritability of educational attainment: An international meta-analysis. Soc. Forces 92, 109-140 (2013).
21. Rakyan, V. K., Down, T. A., Balding, D. J. & Beck, S. Epigenome-wide association studies for common human diseases. Nat. Rev. Genet. 12, 529-541 (2011).
22. Zou, J. Y. et al. Genetic and socioeconomic study of mate choice in Latinos reveals novel assortment patterns. Proc. Natl. Acad. Sci. USA 112, 13621-13626 (2015).
23. Guo, G., Wang, L. & Randall, T. Genomic assortative mating in marriages in the United States. PLoS One 9, e112322 (2014).
24. Domingue, B. W., Fletcher, J., Conley, D. & Boardman, J. D. Genetic and educational assortative mating among US adults. Proc. Natl. Acad. Sci. USA 111, 7996-8000 (2014).
25. Lobao, L. & Meyer, K. The great agricultural transition: crisis, change, and social consequences of twentieth century US farming. Ann. Rev. Soc. 27, 103-124 (2001).
26. Schofer, E. & Meyer, J. W. The worldwide expansion of higher education in the twentieth century. Am. Soc. Rev. 70, 898-920 (2005).
27. Cutler, D. & Miller, G. The role of public health improvements in health advances: The twentieth-century United States. Demography 42, 1-22 (2005).
28. Case, A. & Deaton, A. Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century. Proc. Natl. Acad. Sci. USA 112, 15078-15083 (2015).
29. Cutler, D., Deaton, A. & Lleras-Muney, A. The determinants of mortality. J. Econ. Perspect. 20, 97-120 (2006).
30. Wray, N. R., Goddard, M. E. & Visscher, P. M. Prediction of individual genetic risk to disease from genome-wide association studies. Genome Res. 17, 1520-1528 (2007).
31. Belsky, D. W. et al. Polygenic risk, rapid childhood growth, and the development of obesity: Evidence from a 4-decade longitudinal study. JAMA Pediatr. 166, 515-521 (2012).
32. Belsky, D. W. et al. Development and evaluation of a genetic risk score for obesity. Biodemography Soc. Biol. 59, 85-100 (2013).
33. Belsky, D. W. et al. Polygenic risk and the developmental progression to heavy, persistent smoking and nicotine dependence: Evidence from a 4-decade longitudinal study. JAMA Psychiatry 70, 534-542 (2013).
34. Domingue, B. W., Belsky, D. W., Conley, D., Harris, K. M. & Boardman, J. D. Polygenic influence on educational attainment. AERA Open 1, 1-13 (2015).
35. Belsky, D. W. & Israel, S. Integrating genetics and social science: Genetic risk scores. Biodemography Soc. Biol. 60, 137-155 (2014).
36. Chang, C. C. et al. Second-generation PLINK: rising to the challenge of larger and richer datasets. GigaScience 4, 7 (2015).