Testing gene by community disadvantage moderation of sexual health outcomes among urban women

Autoři: Terrinieka W. Powell aff001;  Jill A. Rabinowitz aff002;  Michelle R. Kaufman aff003;  Adam J. Milam aff002;  Kelly Benke aff002;  Danielle Y. Sisto aff002;  George Uhl aff004;  Brion S. Maher aff002;  Nicholas S. Ialongo aff002
Působiště autorů: Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America aff001;  Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America aff002;  Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America aff003;  New Mexico VA HealthCare System, Las Vegas, NM, United States of America aff004
Vyšlo v časopise: PLoS ONE 14(10)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0223311


We examined whether the interplay between community disadvantage and a conduct disorder polygenic risk score (CD PRS) was associated with sexual health outcomes among urban women. Participants (N = 511; 75.5% African American) were originally recruited to participate in a school-based intervention and were followed into adulthood. Community disadvantage was calculated using census data when participants were in first grade. At age 20, blood or saliva samples were collected and participants reported on their condom use, sexual partners, and sexually transmitted infections. A CD PRS was created based on a genome-wide association study conducted by Dick et al. [2010]. Higher levels of community disadvantage was associated with greater sexually transmitted infections among women with a higher CD PRS. Implications of the study findings are discussed.

Klíčová slova:

African American people – Genome-wide association studies – Human genetics – Human sexual behavior – Sexually transmitted diseases – Socioeconomic aspects of health – Women's health – Genetic load


1. CDC. Youth Risk Behavior Surveillance—United States, 2015. MMWR 2016;65(SS-6).

2. Assini-Meytin LC, Green KM. Long-term consequences of adolescent parenthood among African-American urban youth: A propensity score matching approach. Journal of Adolescent Health. 2015;56(5):529–35. doi: 10.1016/j.jadohealth.2015.01.005 25769478

3. Anaebere AK, Maliski S, Nyamathi A, Koniak-Griffin D, Hudson A, Ford C. “Getting to know”: Exploring how urban African American women conceptualize safer and risky sexual behaviors. Sex Cult. 2013;17(1):113–131.

4. Boyer CB, Shafer MA, Wibbelsman CJ, Seeberg D, Teitle E, Lovell N. Associations of sociodemographic, psychosocial, and behavioral factors with sexual risk and sexually transmitted diseases in teen clinic patients. Journal of Adolescent Health. 2000;27(2):102–11. doi: 10.1016/s1054-139x(99)00113-5 10899470

5. Groth SW, Morrison-Beedy D. Smoking, substance use, and mental health correlates in urban adolescent girls. Journal of Community Health. 2011;36(4):552–8. doi: 10.1007/s10900-010-9340-8 21107998

6. Halpern CT, Hallfors D, Bauer DJ, Iritani B, Waller MW, Cho H. Implications of racial and gender differences in patterns of adolescent risk behavior for HIV and other sexually transmitted diseases. Perspectives on Sexual and Reproductive Health. 2004;36(6):239–47. doi: 10.1363/psrh.36.239.04 15687082

7. Lindberg CE. Knowledge, self-efficacy, and condom use among urban women. J Assoc Nurses AIDS Care. 2000;11(5):80–90. doi: 10.1016/S1055-3290(06)60387-7 11022334

8. Wingood GM, DiClemente RJ. Application of the theory of gender and power to examine HIV-related exposures, risk factors, and effective interventions for women. Heal Educ Behav. 2000;27(5):539–565.

9. Bai S, Lee SS. Early-onset conduct problems: Predictions from daring temperament and risk taking behavior. Journal of Psychopathology and Behavioral Assessment. 2017;39(4):575–84. doi: 10.1007/s10862-017-9612-z 29170596

10. Woodward LJ, Fergusson DM. Early conduct problems and later risk of teenage pregnancy in girls. Development and Psychopathology. 1999;11(1):127–41. 10208359

11. Kahn J, Kaplowitz R, Goodman E, Emans SJ. The association between impulsiveness and sexual risk behaviors in adolescent and young adult women. The Journal of Adolescent Health. 2002;30(4):229–32. doi: 10.1016/s1054-139x(01)00391-3 11927234

12. Pajer KA, Kazmi A, Gardner WP, Wang Y. Female conduct disorder: Health status in young adulthood. Journal of Adolescent Health. 2007;40:65–76.

13. Lahey BB, Waldman ID. Annual research review: Phenotypic and causal structure of conduct disorder in the broader context of prevalent forms of psychopathology. Journal of Child Psychology and Psychiatry and Allied Disciplines. 2012;53(5):536–57.

14. Dick DM, Adkins AE, Kuo SI-C. Genetic influences on adolescent behavior. Neurosci Biobehav Rev. 2016;70:198–205. doi: 10.1016/j.neubiorev.2016.07.007 27422449

15. Green KM, Matson PA, Reboussin BA, Milam AJ, Furr-Holden D, Rabinowitz JA, et al. Individual and neighborhood factors associated with sexual behavior classes in an urban longitudinal sample. Sexually Transmitted Diseases. 2018;46(2):98–104.

16. Bronfenbrenner U. Ecological models of human development. Vol. 3, Readings on the development of children. 1994. 37–43.

17. Baumer EP, South SJ, Journal S, May N. Community effects on youth sexual activity. Journal of Marriage and Family. 2001; 63:540–555.

18. Stevens R, Gilliard-Matthews S, Nilsen M, Malven E, Dunaev J. Socioecological factors in sexual decision making among urban girls and young women. J Obstet Gynecol Neonatal Nurs. 2014;43(5):644–654. doi: 10.1111/1552-6909.12493 25139452

19. Garbers S, Meserve A, Kottke M, Hatcher R, Chiasson MA. Contraceptive history, unintended pregnancy, and contraceptive method choice among urban low-income women. J Women’s Heal. 2013;22(11):930–937.

20. Warner TD, Giordano PC, Manning WD, Longmore MA. Everybody’s doin’ it (right?): Neighborhood norms and sexual activity in adolescence. Social Science Research. 2011;40(6):1676–90. doi: 10.1016/j.ssresearch.2011.06.009 22427712

21. Dupere V, Lacourse E, Willms JD, Leventhal T, Tremblay RE. Neighborhood poverty and early transition to sexual activity in young adolescents: A developmental ecological approach. Child Development. 2008;79(5):1463–76. doi: 10.1111/j.1467-8624.2008.01199.x 18826536

22. Kellam SG, Brown CH, Poduska JM, Ialongo NS, Wang W, Toyinbo P, et al. Effects of a universal classroom behavior management program in first and second grades on young adult behavioral, psychiatric, and social outcomes. Drug and Alcohol Depend. 2008;95S(5–28).

23. Affymetrix AIG human SN 6. user guide., Inc. Rev 1. Retrieved November 3, 2018 from http://www.affymetrix.com. Affymetrix 6.

24. United States Census Bureau. American Community Survey 5-year estimates: 2005–2009 (2009). Retrieved from http://www.census.gov/programssurveys/acs/data/summary-file.2009.html.

25. Ross CE. Neighborhood disadvantage, disorder, and health. Journal of Health and Social Behavior. 2001; 42(3), 258–276. 11668773

26. Anderson C a Pettersson FH, Clarke GM Cardon LR, Morris P Zondervan KT. Data quality control in genetic case-control association studies. Nature protocols. 2011;5(9):1564–73.

27. Chang CC, Chow CC, Tellier LCAM, Vattikuti S, r SM, Lee JJ. Second-generation PLINK: Rising to the challenge of larger and richer datasets. GigaScience. 2015;4(1):1–16.

28. Martin AR, Gignoux CR, Walters RK, Wojcik GL, Neale BM, Gravel S, et al. Human Demographic history impacts genetic risk prediction across diverse populations. American Journal of Human Genetics. 2017;100(4):635–49. doi: 10.1016/j.ajhg.2017.03.004 28366442

29. Dick D. Genome-wide association study of conduct disorder symptomatology. Molecular Psychiatry. 2011;29(10):1883–9.

30. Rabinowitz JA, Musci RJ, Benke KS, Sisto DY, Maher BS, Ialongo NS. Differential susceptibility to the Good Behavior Game in predicting early childhood aggression: The role of polygenic environmental sensitivity. Paper presented at the Society for Prevention Research, 2018.

31. Nelson KE, Vlahov D, Cohn S, Odunmbaku M, Lindsay A, Antohony JC, et al. Sexually transmitted diseases in a population of intravenous drug users: association with seropositivity to the human immunodeficiency virus (HIV). J Infect Dis. 1991;164(3):457–63. doi: 10.1093/infdis/164.3.457 1869836

32. Corp IBM. IBM SPSS Statistics for Windows, Version 25.0. Armonk, NY: IBM Corp; 2016.

33. Muthén L. K., & Muthén B. O. Mplus user’s guide. Eighth edition. Los Angeles, CA, US: Muthén & Muthén; 1998–2017.

34. Dick DM. Gene-environment interaction in psychological traits and disorders. Annu Rev Clin Psychol. 2011;7(1):383–409.

35. Hilbe M. Modeling count data. New York, NY, US: Cambridge University Press; 2014.

36. Hobbs G, Vignoles A. Is children’s free school meal “eligibility” a good proxy for family income? British Educational Research Journal. 2010;36(4):673–90.

37. Huang J, Barnidge E. Low-income children’s participation in the National School Lunch Program and household food insufficiency. Social Science and Medicine. 2016;150:8–14. doi: 10.1016/j.socscimed.2015.12.020 26722983

38. Goodman E. The role of socioeconomic status gradients in explaining differences in US adolescents’ health. American Journal of Public Health. 1999;89(10):1522–8. doi: 10.2105/ajph.89.10.1522 10511834

39. Hanson MD, Chen E. Socioeconomic status and health behaviors in adolescence: A review of the literature. Journal of Behavioral Medicine. 2007;30(3):263–85. doi: 10.1007/s10865-007-9098-3 17514418

40. Benjamini Y, & Hochberg Y. Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B (Methodological). 1995;57(1):289–300.

41. Aiken LS, West SG. Multiple regression: Testing and interpreting interactions. Thousand Oaks, California, US: Sage; 2016.

42. Holmbeck GN. Post-hoc probing of significant moderational and mediational effects in studies of pediatric populations. Journal of Pediatric Psychology. 2002;27(1):87–96. doi: 10.1093/jpepsy/27.1.87 11726683

43. Maas MK, Shearer CL, Gillen MM, Lefkowitz ES. Sex rules: Emerging adults’ perceptions of gender’s impact on sexuality. Sex Cult. 2015;19(4):617–636. doi: 10.1007/s12119-015-9281-6 26478696

44. Logan TK, Cole J, Leukefeld C. Women, sex, and HIV: Social and contextual factors, meta-analysis of published interventions, and implications for practice and research. Psychological Bulletin. 2002;128(6):851–85. doi: 10.1037/0033-2909.128.6.851 12405135

45. Nehl EJ, Elifson K, DePadilla L, Sterk C. Sex partner type, drug use and condom use self-efficacy among African Americans from disadvantaged neighborhoods: Are associations with consistent condom use moderated by gender? J Sex Res. 2016;53(7):805–815. doi: 10.1080/00224499.2015.1092018 26580813

46. Schofield H-LT, Bierman KL, Heinrichs B, Nix RL. Predicting early sexual activity with behavior problems exhibited at school entry and in early adolescence. Journal of Abnormal Child Psychology. 2008;36(8):1175–88. doi: 10.1007/s10802-008-9252-6 18607716

47. Mostafavi H, Harpak A, Conley D, Pritchard JK. Variable prediction accuracy of polygenic scores within an ancestry group. bioRxiv. 2019.

48. Martin AR, Kanai M, Kamatani Y, Okada Y, Neale BM, Daly MJ. Clinical use of current polygenic risk scores may exacerbate health disparities. Nature Genetics. 2019;52:584–591.

49. Pappa I, Pourcain BS, Benke K, Cavadino A, Hakulinen C, Nivard MG, et al. A genome-wide approach to children’s aggressive behavior: The EAGLE consortium. 2015;171. 562–572.

50. Tielbeek JJ, Johansson A, Polderman TJC, Rautiainen M-R, Jansen P, Taylor M, et al. Genome-wide association studies of a broad spectrum of antisocial behavior. JAMA Psychiatry. 2017;74(12):1242–50. doi: 10.1001/jamapsychiatry.2017.3069 28979981

Článek vyšel v časopise


2019 Číslo 10
Nejčtenější tento týden