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Research ArticleArticles

Understanding the Educational Attainment Polygenic Index and its Interactions with SES in Determining Health in Young Adulthood

Atticus Bolyard and Peter A. Savelyev
Published online before print May 09, 2025, 0521-11685R3; DOI: https://doi.org/10.3368/jhr.0521-11685R3
Atticus Bolyard
†Center for Education Policy Research, Harvard University.
Roles: research analyst
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Peter A. Savelyev
‡() Virginia Commonwealth University and the corresponding author.
Roles: assistant professor of economics
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  • For correspondence: savelyevp{at}vcu.edu
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References

    1. Albouy, V. and
    2. L. Lequien
    (2009). Does compulsory education lower mortality? Journal of Health Economics 28, 155–168.
    OpenUrlCrossRefPubMedWeb of Science
    1. Amin, V.,
    2. J. R. Behrman, and
    3. H.-P. Kohler
    (2015). Schooling has smaller or insignificant effects on adult health in the US than suggested by cross-sectional associations: New estimates using relatively large samples of identical twins. Social Science & Medicine 127, 181–189.
    OpenUrlCrossRefPubMed
    1. Anderson, T. W. and
    2. H. Rubin
    (1956). Statistical inference in factor analysis. In J. Neyman (Ed.), Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, Volume 5, Berkeley, CA, pp. 111–150. University of California Press.
    OpenUrl
    1. Apouey, B. and
    2. A. E. Clark
    (2015). Winning big but feeling no better? The effect of lottery prizes on physical and mental health. Health Economics 24, 516–538.
    OpenUrlCrossRefPubMed
    1. Ashenfelter, O. and
    2. A. Krueger
    (1994). Estimates of the economic return to schooling from a new sample of twins. American Economic Review 84, 1157–1173.
    OpenUrlWeb of Science
    1. Avinun, R.
    (2019). Educational attainment polygenic score is associated with depressive symptoms via socioeconomic status: A gene-environment-trait correlation. bioRxiv, 727552.
    1. Barcellos, S. H.,
    2. L. S. Carvalho, and
    3. P. Turley
    (2018). Education can reduce health differences related to genetic risk of obesity. Proceedings of the National Academy of Sciences 115(42), E9765–E9772.
    OpenUrlAbstract/FREE Full Text
    1. Barth, D.,
    2. N. W. Papageorge, and
    3. K. Thom
    (2020). Genetic endowments and wealth inequality. Journal of Political Economy 128(4), 1474–1522.
    OpenUrlCrossRefPubMed
    1. Beauchamp, J. P.,
    2. D. Cesarini,
    3. M. Johannesson,
    4. M. J. H. M. van der Loos,
    5. P. D. Koellinger,
    6. P. J. F. Groenen,
    7. J. H. Fowler,
    8. J. N. Rosenquist,
    9. A. R. Thurik, and
    10. N. A. Christakis
    (2011). Molecular genetics and economics. Journal of Economic Perspectives 25(4), 57–82.
    OpenUrlCrossRefPubMed
    1. Becker, J.,
    2. C. A. P. Burik,
    3. G. Goldman,
    4. N. Wang,
    5. H. Jayashankar,
    6. M. Bennett,
    7. D. W. Belsky,
    8. R. Karlsson Linnér,
    9. R. Ahlskog,
    10. A. Kleinman,
    11. D. A. Hinds,
    12. M. Agee,
    13. B. Alipanahi,
    14. A. Auton, ,
    15. R. K. Bell,
    16. K. Bryc,
    17. S. L. Elson,
    18. P. Fontanillas,
    19. N. A. Furlotte,
    20. K. E. Huber,
    21. N. K. Litterman,
    22. J. C. McCreight,
    23. M. H. McIntyre,
    24. J. L. Mountain,
    25. C. A. M. Northover,
    26. S. J. Pitts,
    27. J. F. Sathirapongsasuti,
    28. O. V. Sazonova,
    29. J. F. Shelton,
    30. S. Shringarpure,
    31. C. Tian,
    32. J. Y. Tung,
    33. V. Vacic,
    34. C. H. Wilson,
    35. A. Caspi,
    36. D. L. Corcoran,
    37. T. E. Moffitt,
    38. R. Poulton,
    39. K. Sugden,
    40. B. S. Williams,
    41. K. M. Harris,
    42. A. Steptoe,
    43. O. Ajnakina,
    44. L. Milani,
    45. T. Esko,
    46. W. G. Iacono,
    47. M. McGue,
    48. P. K. E. Magnusson,
    49. T. T. Mallard,
    50. K. P. Harden,
    51. E. M. Tucker-Drob,
    52. P. Herd,
    53. J. Freese,
    54. A. Young,
    55. J. P. Beauchamp,
    56. P. D. Koellinger,
    57. S. Oskarsson,
    58. M. Johannesson,
    59. P. M. Visscher,
    60. M. N. Meyer,
    61. D. Laibson,
    62. D. Cesarini,
    63. D. J. Benjamin,
    64. P. Turley,
    65. A. Okbay, and 23andMe Research Group
    (2021). Resource profile and user guide of the polygenic index repository. Nature Human Behaviour 5, 1744–1758.
    OpenUrlCrossRefPubMed
    1. Behrman, J. R.,
    2. H.-P. Kohler,
    3. V. M. Jensen,
    4. D. Pedersen,
    5. I. Petersen,
    6. P. Bingley, and
    7. K. Christensen
    (2011). Does more schooling reduce hospitalization and delay mortality? New evidence based on Danish twins. Demography (48), 1347–1375.
    1. Benjamin, D.,
    2. D. Cesarini,
    3. C. F. Chabris,
    4. E. L. Glaeser,
    5. D. Laibson,
    6. V. Gudnason,
    7. T. B. Harris,
    8. L. J. Launer,
    9. S. Purcell,
    10. A. V. Smith,
    11. M. Johannesson,
    12. P. K. Magnusson,
    13. J. P. Beauchamp,
    14. N. A. Christakis,
    15. C. S. Atwood,
    16. B. Hebert,
    17. J. Freese,
    18. R. M. Hauser,
    19. T. S. Hauser,
    20. A. Grankvist,
    21. C. M. Hultman, and
    22. P. Lichtenstein
    (2012). The promises and pitfalls of genoeconomics. Annual Review of Economics 4(1), 627–662.
    OpenUrlCrossRefPubMed
    1. Bierut, L.,
    2. P. Biroli,
    3. T. J. Galama, and
    4. K. Thom
    (2023). Challenges in studying the interplay of genes and environment. A study of childhood financial distress moderating genetic predisposition for peak smoking. Journal of Economic Psychology 98(C).
    1. Bijwaard, G.,
    2. H. van Kippersluis, and
    3. J. Veenman
    (2015). Education and health: The role of cognitive ability. Journal of Health Economics 42, 29–43.
    OpenUrlCrossRefPubMed
    1. Biroli, P.,
    2. T. Galama,
    3. S. von Hinke,
    4. H. van Kippersluis,
    5. C. A. Rietveld, and
    6. K. Thom
    (2022, March). The economics and econometrics of gene-environmnet interplay. arXiv Working Papers 2203.00729v1.
    1. Boardman, J. D.,
    2. B. W. Domingue, and
    3. J. Daw
    (2015). What can genes tell us about the relationship between education and health? Social Science & Medicine 127, 171–180.
    OpenUrlCrossRefPubMed
    1. Branigan, A. R.,
    2. K. J. McCallum, and
    3. J. Freese
    (2013). Variation in the heritability of educational attainment: An international meta-analysis. Social Forces 92(1), 109–140.
    OpenUrlCrossRef
    1. Braudt, D. B. and
    2. K. M. Harris
    (2018). Polygenic scores (PGSs) in the National Longitudinal Study of Adolescent to Adult Health (Add Health)—Release 1. Chapel Hill, NC: Carolina Population Center, University of North Carolina at Chapel Hill.
    1. Buckles, K.,
    2. A. Hagemann,
    3. O. Malamud,
    4. M. Morrill, and
    5. A. Wozniak
    (2016). The effect of college education on mortality. Journal of Health Economics 50, 99–114.
    OpenUrlCrossRefPubMed
    1. Case, A. and
    2. A. S. Deaton
    (2005). Broken Down by Work and Sex: How Our Health Declines, pp. 185–212. University of Chicago Press.
    1. Cesarini, D.,
    2. E. Lindqvist,
    3. R. Ostling, and
    4. B. Wallace
    (2016). Wealth, health, and child development: Evidence from administrative data on Swedish lottery players. The Quarterly Journal of Economics 131, 687–738.
    OpenUrlCrossRef
    1. Clark, D. and
    2. H. Royer
    (2013). The effect of education on adult mortality and health: Evidence from Britain. American Economic Review 103(6), 2087–2120.
    OpenUrlCrossRefPubMed
    1. Conti, G.,
    2. S. Frühwirth-Schnatter,
    3. J. J. Heckman, and
    4. R. Piatek
    (2014). Bayesian exploratory factor analysis. Journal of Econometrics 183(1), 31–57.
    OpenUrlCrossRefPubMed
    1. Conti, G. and
    2. C. Hansman
    (2013). Personality and the education-health gradient: A note on “understanding differences in health behaviors by education”. Journal of Health Economics 32, 480–485.
    OpenUrlCrossRefPubMed
    1. Conti, G. and
    2. J. J. Heckman
    (2010). Understanding the early origins of the educationhealth gradient: A framework that can also be applied to analyze gene-environment interactions. Perspectives on Psychological Science 5(5), 585–605.
    OpenUrlCrossRefPubMed
    1. Conti, G.,
    2. J. J. Heckman, and
    3. R. Pinto
    (2016). The effects of two influential early childhood interventions on health and healthy behaviour. Economic Journal 126, 28–65.
    OpenUrlCrossRef
    1. Cutler, D. M. and
    2. A. Lleras-Muney
    (2010, January). Understanding differences in health behaviors by education. Journal of Health Economics 29(1), 1–28.
    OpenUrlCrossRefPubMedWeb of Science
    1. DeLeire, T. and
    2. H. Levy
    (2004). Worker sorting and the risk of death on the job. Journal of Labor Economics 22(4), 925–953.
    OpenUrlCrossRef
    1. Fletcher, J. M.
    (2019). Environmental bottlenecks in children’s genetic potential for adult socio-economic attainments: Evidence from a health shock. Population Studies 73(1), 139–148.
    OpenUrlCrossRefPubMed
    1. Fletcher, J. M.,
    2. J. L. Sindelar, and
    3. S. Yamaguchi
    (2011). Cumulative effects of job characteristics on health. Health Economics 20(5), 553–570.
    OpenUrlCrossRefPubMedWeb of Science
    1. Frijters, P.,
    2. J. P. Haisken-DeNewb, and
    3. M. A. Shields
    (2005). The causal effect of income on health: Evidence from German reunification. Journal of Health Economics 24, 997–1017.
    OpenUrlCrossRefPubMedWeb of Science
    1. Galama, T. J.,
    2. A. Lleras-Muney, and
    3. H. van Kippersluis
    (2018, September). The effect of education on health and mortality: A review of experimental and quasi-experimental evidence. The Oxford Research Encyclopedia, Economics and Finance (oxfordre.com/economics), 1–96.
    1. Galama, T. J. and
    2. H. van Kippersluis
    (2018, January). A theory of socio-economic disparities in health over the life cycle. The Economic Journal 129, 338–374.
    OpenUrlPubMed
    1. Gardner, J. and
    2. A. J. Oswald
    (2007). Money and mental wellbeing: A longitudinal study of medium-sized lottery wins. Journal of Health Economics 26, 49–60.
    OpenUrlCrossRefPubMedWeb of Science
    1. Grossman, M.
    (2000). The human capital model. In A. J. Culyer and J. P. Newhouse (Eds.), Handbook of Health Economics, Volume 1, Chapter 7, pp. 347–408. Amsterdam: Elsevier Science B. V.
    OpenUrlCrossRef
    1. Grossman, M.
    (2022). The demand for health turns 50: Reflections. Health Economics, 1–16.
    1. Harris, K. M.
    (2013). The Add Health study: Design and accomplishments. Chapel Hill: Carolina Population Center, University of North Carolina at Chapel Hill.
    1. Heckman, J. J.
    (2007, August). The economics, technology and neuroscience of human capability formation. Proceedings of the National Academy of Sciences 104(3), 13250–13255.
    OpenUrlAbstract/FREE Full Text
    1. Heckman, J. J.,
    2. J. E. Humphries, and
    3. G. Veramendi
    (2018). Returns to education: The causal effects of education on earnings, health and smoking. Journal of Political Economy 126(S1), S197–S246.
    OpenUrlCrossRefPubMed
    1. Heckman, J. J.,
    2. R. Pinto, and
    3. P. A. Savelyev
    (2013). Understanding the mechanisms through which an influential early childhood program boosted adult outcomes. American Economic Review 103(6), 2052–2086.
    OpenUrlCrossRefPubMed
    1. Heckman, J. J.,
    2. J. Stixrud, and
    3. S. Urzúa
    (2006, July). The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior. Journal of Labor Economics 24(3), 411–482.
    OpenUrlCrossRefWeb of Science
    1. Hong, K.,
    2. P. A. Savelyev, and
    3. K. Tan
    (2020). Understanding the mechanisms linking education with longevity. Journal of Human Capital 14(3), 371–400.
    OpenUrlCrossRef
    1. Howe, L. J.,
    2. M. G. Nivard,
    3. T. T. Morris,
    4. A. F. Hansen,
    5. H. Rasheed,
    6. Y. Cho,
    7. G. Chittoor,
    8. R. Ahlskog,
    9. P. A. Lind,
    10. T. Palviainen,
    11. M. D. van der Zee,
    12. R. Cheesman,
    13. M. Mangino,
    14. Y. Wang,
    15. S. Li,
    16. L. Klaric,
    17. S. M. Ratliff,
    18. L. F. Bielak,
    19. M. Nygaard,
    20. A. Giannelis,
    21. E. A. Willoughby, and
    22. C. A. Reynolds et al.
    (2022). Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects. Nature Genetics 54, 581–592.
    OpenUrlCrossRefPubMed
    1. Idler, E. L. and
    2. Y. Benyamini
    (1997). Self-rated health and mortality: a review of twentyseven community studies. Journal of Health and Social Behavior, 21–37.
    1. Keller, M. C.
    (2014). Gene-by-environment interaction studies have not properly controlled for potential confounders: The problem and the (simple) solution. Biological Psychiatry 75(1), 1–14.
    OpenUrlCrossRef
    1. Kim, B. and
    2. C. J. Ruhm
    (2012). Inheritances, health and death. Health Economics 21, 127–144.
    OpenUrlCrossRefPubMed
    1. Kippersluis, H. v. and
    2. T. J. Galama
    (2014). Wealth and health behavior: Testing the concept of a health cost. European Economic Review 72, 197–220.
    OpenUrlCrossRefPubMed
    1. Kong, A. and
    2. G. Thorleifsson
    (2018). The nature of nurture: Effects of parental genotypes. Science 359, 424–428.
    OpenUrlAbstract/FREE Full Text
    1. Lee, J. J.,
    2. R. Wedow,
    3. A. Okbay,
    4. E. Kong,
    5. O. Maghzian,
    6. M. Zacher,
    7. T. A. Nguyen-Viet,
    8. P. Bowers,
    9. J. Sidorenko,
    10. R. K. Linnér, et al.
    (2018). Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics 50(8), 1112–1121.
    OpenUrlCrossRefPubMed
    1. Lindahl, M.
    (2005). Estimating the effect of income on health and mortality using lottery prizes as an exogenous source of variation in income. Journal of Human Resources 40(1), 144–168.
    OpenUrlAbstract/FREE Full Text
    1. Lleras-Muney, A.
    (2005). The relationship between education and adult mortality in the United States. Review of Economic Studies 72(1), 189–221.
    OpenUrlCrossRefWeb of Science
    1. Lundborg, P.,
    2. C. H. Lyttkens, and
    3. P. Nystedt
    (2016). The effect of schooling on mortality: New evidence from 50,000 Swedish twins. Demography (53), 1135–1168.
    1. Madsen, M.,
    2. A.-M. N. Andersen,
    3. K. Christensen,
    4. P. K. Andersen, and
    5. M. Osler
    (2010). Does educational status impact adult mortality in Denmark? A twin approach. American Journal of Epidemiology 172.
    1. Martin, A. R.,
    2. C. R. Gignoux,
    3. R. K. Walters,
    4. G. L. Wojcik,
    5. B. M. Neale,
    6. S. Gravel,
    7. M. J. Daly,
    8. C. D. Bustamante, and
    9. E. E. Kenny
    (2017). Human demographic history impacts genetic risk prediction across diverse populations. The American Journal of Human Genetics 100(4), 635–649.
    OpenUrlCrossRefPubMed
    1. Mazumder, B.
    (2008). Does education improve health? A reexamination of the evidence from compulsory schooling laws. Economic Perspectives 32(2), 2–16.
    OpenUrl
    1. Meghir, C.,
    2. M. Palme, and
    3. E. Simeonova
    (2018, April). Education and mortality: Evidence from a social experiment. American Economic Journal: Applied Economics 10(2), 234–56.
    OpenUrlCrossRef
    1. Morris, T. T.,
    2. N. M. Davies,
    3. G. Hemani, and
    4. G. D. Smith
    (2020). Population phenomena inflate genetic associations of complex social traits. Science Advances 6, 1–12.
    OpenUrlCrossRef
    1. Okbay, A.,
    2. P. Turley,
    3. D. Benjamin,
    4. P. Visscher,
    5. D. Braudt, and
    6. K. M. Harris
    (2018). SSGAC polygenic scores (PGSs) in the National Longitudinal Study of Adolescent to Adult Health (Add Health) doi:10.17615/c6166f. Technical report.
    OpenUrlCrossRef
    1. Papageorge, N. and
    2. K. Thom
    (2020). Genes, education, and labor market outcomes: Evidence from the health and retirement study. Journal of the European Economic Association 18(3), 1351–1399.
    OpenUrlCrossRefPubMed
    1. Polderman, T. J. C.,
    2. B. Benyamin,
    3. C. A. de Leeuw,
    4. P. F. Sullivan,
    5. A. van Bochoven,
    6. P. M. Visscher, and
    7. D. Posthuma
    (2015). Meta-analysis of the heritability of human traits based on fifty years of twin studies. Nature Genetics 47(1), 702–709.
    OpenUrlCrossRefPubMed
    1. Ravesteijn, B.,
    2. H. van Kippersluis, and
    3. E. van Doorslaer
    (2018). The wear and tear on health: What is the role of occupation? Health Economics 27(2), e69–e86.
    OpenUrlPubMed
    1. Ronda, V.,
    2. E. Agerbo,
    3. D. Bleses,
    4. P. B. Mortensen,
    5. A. Børglum,
    6. D. M. Hougaard,
    7. O. Mors,
    8. M. Nordentoft,
    9. T. Werge, and
    10. M. Rosholm
    (2020). Family disadvantage, gender and the returns to genetic human capital. IZA discussion paper No. 13441.
    1. Rosenbaum, C.,
    2. Q. Yu,
    3. S. Buzhardt,
    4. E. Sutton, and
    5. A. G. Chapple
    (2023). Inclusion of binary proxy variables in logistic regression improves treatment effect estimation in observational studies in the presence of binary unmeasured confounding variables. Pharmaceutical Statistics 22, 995–1015.
    OpenUrlCrossRefPubMed
    1. Savelyev, P.,
    2. B. Ward,
    3. R. Krueger, and
    4. M. McGue
    (2022). Health endowments, schooling allocation in the family, and longevity: Evidence from US twins. Journal of Health Economics 81C. 102554.
    1. Savelyev, P. A.
    (2022). Conscientiousness, Extraversion, college education, and longevity of high-ability individuals. Journal of Human Resources 57(5), 1526–1565. doi: 0918-9720R2.
    OpenUrlAbstract/FREE Full Text
    1. Savelyev, P. A. and
    2. A. Bolyard
    (2025). The mechanisms linking the educational attainment polygenic score and health outcomes in young adulthood. Unpublished. Richmond, VA: Virginia Commonwealth University.
    1. Savelyev, P. A. and
    2. K. T. Tan
    (2019). Socioemotional skills, education, and health-related outcomes of high-ability individuals. American Journal of Health Economics 5, pp. 250–280.
    OpenUrlCrossRef
    1. Scarr-Salapatek, S.
    (1971). Race, social class, and IQ. Science 174(4016), 1285–1295.
    OpenUrlFREE Full Text
    1. Schafer, J. L.
    (1999). Multiple imputation: a primer. Statistical methods in medical research 8(1), 3–15.
    OpenUrlCrossRefPubMedWeb of Science
    1. Schmitz, L. L. and
    2. D. Conley
    (2017). The effect of Vietnam-era conscription and genetic potential for educational attainment on schooling outcomes. Economics of Education Review 61, 85–97.
    OpenUrlCrossRefPubMed
    1. Schwandt, H.
    (2018). Wealth shocks and health outcomes: Evidence from stock market fluctuations. American Economic Journal: Applied Economics 10(4), 349–77.
    OpenUrlCrossRef
    1. Snyder, S. E. and
    2. W. N. Evans
    (2006). The effect of income on mortality: Evidence from the social security notch. The Review of Economics and Statistics 88, 482–495.
    OpenUrlCrossRef
    1. Solovieff, N.,
    2. C. Cotsapas,
    3. P. H. Lee,
    4. S. M. Purcell, and
    5. J. W. Smoller
    (2013). Pleiotropy in complex traits: Challenges and strategies. Nature Reviews Genetics 14(7), 483.
    OpenUrlCrossRefPubMed
    1. van den Berg, G.,
    2. L. Janys, and
    3. K. Christensen
    (2015). The effect of education on mortality. IZA working paper.
    1. van Kippersluis, H.,
    2. O. O’Donnell, and
    3. E. van Doorslaer
    (2011). Long-run returns to education: Does schooling lead to an extended old age? The Journal of Human Resources 46, 695–721.
    OpenUrlAbstract/FREE Full Text
    1. Wang, B.,
    2. J. R. Baldwin,
    3. T. Schoeler,
    4. R. Cheesman,
    5. W. Barkhuizen,
    6. F. Dudbridge,
    7. D. Bann,
    8. T. T. Morris, and
    9. J.-B. Pingault
    (2021). Robust genetic nurture effects on education: A systematic review and meta-analysis based on 38,654 families across 8 cohorts. American Journal of Human Genetics 108(9), 1780–1791.
    OpenUrlCrossRefPubMed
    1. Wooldridge, J. M.
    (2010). Econometric Analysis of Cross Section and Panel Data (2 ed.). Cambridge, Mass.: MIT Press.
    1. Young, J. K. and
    2. A. A. Beaujean
    (2011). Measuring personality in wave I of the National Longitudinal Study of Adolescent Health. Frontiers in Psychology 2.
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Journal of Human Resources: 60 (6)
Journal of Human Resources
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1 Nov 2025
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Understanding the Educational Attainment Polygenic Index and its Interactions with SES in Determining Health in Young Adulthood
Atticus Bolyard, Peter A. Savelyev
Journal of Human Resources May 2025, 0521-11685R3; DOI: 10.3368/jhr.0521-11685R3

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Understanding the Educational Attainment Polygenic Index and its Interactions with SES in Determining Health in Young Adulthood
Atticus Bolyard, Peter A. Savelyev
Journal of Human Resources May 2025, 0521-11685R3; DOI: 10.3368/jhr.0521-11685R3
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Keywords

  • Health
  • health behaviors
  • polygenic index
  • polygenic score
  • environmental bottleneck
  • Scarr-Rowe hypothesis
  • educational attainment
  • parental socioeconomic status
  • child development
  • Education
  • mediators
  • pleiotropy
  • Add Health data
  • I12
  • I14
  • I24
  • J24
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