Perceived Experiences of racism in Relation to Genome-Wide DNA Methylation and Epigenetic Aging in the Black Women's Health Study.
Black Women
Epigenetics
Epigenome
Psychosocial Stress
Racism
Journal
Journal of racial and ethnic health disparities
ISSN: 2196-8837
Titre abrégé: J Racial Ethn Health Disparities
Pays: Switzerland
ID NLM: 101628476
Informations de publication
Date de publication:
07 Feb 2024
07 Feb 2024
Historique:
received:
20
10
2023
accepted:
17
01
2024
revised:
15
01
2024
medline:
7
2
2024
pubmed:
7
2
2024
entrez:
7
2
2024
Statut:
aheadofprint
Résumé
African American women have a disproportionate burden of disease compared to US non-Hispanic white women. Exposure to psychosocial stressors may contribute to these health disparities. Racial discrimination, a major stressor for African American women, could affect health through epigenetic mechanisms. We conducted an epigenome-wide association study (EWAS) to examine the association of interpersonal racism (in daily life and in institutional settings) with DNA methylation in blood in 384 participants of the Black Women's Health Study (BWHS). We also evaluated whether a greater number of perceived experiences of racism was associated with epigenetic aging as measured using different methylation clocks. Models were adjusted for chronological age, body mass index, years of education, neighborhood SES, geographic region of residence, alcohol drinking, smoking, and technical covariates. Higher scores of racism in daily life were associated with higher methylation levels at the cg04494873 site in chromosome 5 (β = 0.64%; 95% CI = 0.41%, 0.87%; P = 6.35E-08). We also replicated one CpG site, cg03317714, which was inversely associated with racial discrimination in a previous EWAS among African American women. In the BWHS, higher scores of racism in daily life were associated with lower methylation levels at that CpG site (β = -0.94%; 95% CI = -1.37%, -0.51%; P = 2.2E-05). Higher racism scores were associated with accelerated epigenetic aging in more than one methylation clock. Exposure to discriminatory events may affect the epigenome and accelerate biological aging, which may explain in part the earlier onset of disease in African American women.
Sections du résumé
BACKGROUND
BACKGROUND
African American women have a disproportionate burden of disease compared to US non-Hispanic white women. Exposure to psychosocial stressors may contribute to these health disparities. Racial discrimination, a major stressor for African American women, could affect health through epigenetic mechanisms.
METHODS
METHODS
We conducted an epigenome-wide association study (EWAS) to examine the association of interpersonal racism (in daily life and in institutional settings) with DNA methylation in blood in 384 participants of the Black Women's Health Study (BWHS). We also evaluated whether a greater number of perceived experiences of racism was associated with epigenetic aging as measured using different methylation clocks. Models were adjusted for chronological age, body mass index, years of education, neighborhood SES, geographic region of residence, alcohol drinking, smoking, and technical covariates.
RESULTS
RESULTS
Higher scores of racism in daily life were associated with higher methylation levels at the cg04494873 site in chromosome 5 (β = 0.64%; 95% CI = 0.41%, 0.87%; P = 6.35E-08). We also replicated one CpG site, cg03317714, which was inversely associated with racial discrimination in a previous EWAS among African American women. In the BWHS, higher scores of racism in daily life were associated with lower methylation levels at that CpG site (β = -0.94%; 95% CI = -1.37%, -0.51%; P = 2.2E-05). Higher racism scores were associated with accelerated epigenetic aging in more than one methylation clock.
CONCLUSIONS
CONCLUSIONS
Exposure to discriminatory events may affect the epigenome and accelerate biological aging, which may explain in part the earlier onset of disease in African American women.
Identifiants
pubmed: 38324238
doi: 10.1007/s40615-024-01915-3
pii: 10.1007/s40615-024-01915-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NCI NIH HHS
ID : R01CA058420
Pays : United States
Organisme : NCI NIH HHS
ID : U01CA164974
Pays : United States
Informations de copyright
© 2024. W. Montague Cobb-NMA Health Institute.
Références
National Center for Health Statistics. National Health Interview Survey, 2022. Public-use data file and documentation. https://www.cdc.gov/nchs/nhis/data-questionnaires-documentation.htm .: (2023). Accessed September 27, 2023.
Cheng YJ, Kanaya AM, Araneta MRG, Saydah SH, Kahn HS, Gregg EW, et al. Prevalence of diabetes by race and ethnicity in the United States, 2011–2016. JAMA. 2019;322(24):2389–98. https://doi.org/10.1001/jama.2019.19365 .
doi: 10.1001/jama.2019.19365
pubmed: 31860047
pmcid: 6990660
Aggarwal R, Chiu N, Wadhera RK, Moran AE, Raber I, Shen C, et al. Racial/ethnic disparities in hypertension prevalence, awareness, treatment, and control in the United States, 2013 to 2018. Hypertension. 2021;78(6):1719–26. https://doi.org/10.1161/HYPERTENSIONAHA.121.17570 .
doi: 10.1161/HYPERTENSIONAHA.121.17570
pubmed: 34365809
Wang Y, Beydoun MA, Min J, Xue H, Kaminsky LA, Cheskin LJ. Has the prevalence of overweight, obesity and central obesity levelled off in the United States? Trends, patterns, disparities, and future projections for the obesity epidemic. Int J Epidemiol. 2020;49(3):810–23. https://doi.org/10.1093/ije/dyz273 .
doi: 10.1093/ije/dyz273
pubmed: 32016289
pmcid: 7394965
Geronimus AT. The weathering hypothesis and the health of African-American women and infants: evidence and speculations. Ethn Dis. 1992;2(3):207–21.
pubmed: 1467758
Geronimus AT, Hicken M, Keene D, Bound J. “Weathering” and age patterns of allostatic load scores among blacks and whites in the United States. Am J Public Health. 2006;96(5):826–33. https://doi.org/10.2105/AJPH.2004.060749 .
doi: 10.2105/AJPH.2004.060749
pubmed: 16380565
pmcid: 1470581
Kouvonen A, Kivimaki M, Cox SJ, Cox T, Vahtera J. Relationship between work stress and body mass index among 45,810 female and male employees. Psychosom Med. 2005;67(4):577–83.
doi: 10.1097/01.psy.0000170330.08704.62
pubmed: 16046370
Korkeila M, Kaprio J, Rissanen A, Koshenvuo M, Sorensen TI. Predictors of major weight gain in adult Finns: stress, life satisfaction and personality traits. Int J Obes Relat Metab Disord. 1998;22(10):949–57.
doi: 10.1038/sj.ijo.0800694
pubmed: 9806309
Block JP, He Y, Zaslavsky AM, Ding L, Ayanian JZ. Psychosocial stress and change in weight among US adults. Am J Epidemiol. 2009;170(2):181–92.
doi: 10.1093/aje/kwp104
pubmed: 19465744
pmcid: 2727271
Fowler-Brown AG, Bennett GG, Goodman MS, Wee CC, Corbie-Smith GM, James SA. Psychosocial stress and 13-year BMI change among blacks: the Pitt County Study. Obesity (Silver Spring). 2009;17(11):2106–9. https://doi.org/10.1038/oby.2009.130 .
doi: 10.1038/oby.2009.130
pubmed: 19407807
Mezuk B, Eaton WW, Albrecht S, Golden SH. Depression and type 2 diabetes over the lifespan: a meta-analysis. Diabetes Care. 2008;31(12):2383–90.
doi: 10.2337/dc08-0985
pubmed: 19033418
pmcid: 2584200
Mezuk B, Eaton WW, Golden SH, Ding Y. The influence of educational attainment on depression and risk of type 2 diabetes. Am J Public Health. 2008;98(8):1480–5.
doi: 10.2105/AJPH.2007.126441
pubmed: 18556604
pmcid: 2446469
Arroyo C, Hu FB, Ryan LM, Kawachi I, Colditz GA, Speizer FE, et al. Depressive symptoms and risk of type 2 diabetes in women. Diabetes Care. 2004;27(1):129–33.
doi: 10.2337/diacare.27.1.129
pubmed: 14693978
Kendall-Tackett KA, Marshall R. Victimization and diabetes: an exploratory study. Child Abuse Negl. 1999;23(6):593–6.
doi: 10.1016/S0145-2134(99)00033-2
pubmed: 10391516
Rich-Edwards JW, Spiegelman D, Lividoti Hibert EN, Jun HJ, Todd TJ, Kawachi I, et al. Abuse in childhood and adolescence as a predictor of type 2 diabetes in adult women. Am J Prev Med. 2010;39(6):529–36. https://doi.org/10.1016/j.amepre.2010.09.007 .
doi: 10.1016/j.amepre.2010.09.007
pubmed: 21084073
pmcid: 3003936
Brunner EJ. Social factors and cardiovascular morbidity. Neurosci Biobehav Rev. 2016. https://doi.org/10.1016/j.neubiorev.2016.05.004 .
doi: 10.1016/j.neubiorev.2016.05.004
pubmed: 27177828
pmcid: 5104684
Low CA, Thurston RC, Matthews KA. Psychosocial factors in the development of heart disease in women: current research and future directions. Psychosom Med. 2010;72(9):842–54. https://doi.org/10.1097/PSY.0b013e3181f6934f .
doi: 10.1097/PSY.0b013e3181f6934f
pubmed: 20841557
pmcid: 2978285
Chida Y, Hamer M, Wardle J, Steptoe A. Do stress-related psychosocial factors contribute to cancer incidence and survival? Nat Clin Pract Oncol. 2008;5(8):466–75. https://doi.org/10.1038/ncponc1134 .
doi: 10.1038/ncponc1134
pubmed: 18493231
Clark R, Anderson NB, Clark VR, Williams DR. Racism as a stressor for African Americans. A biopsychosocial model Am Psychol. 1999;54(10):805–16. https://doi.org/10.1037//0003-066x.54.10.805 .
doi: 10.1037//0003-066x.54.10.805
pubmed: 10540593
Goosby BJ, Heidbrink C. Transgenerational consequences of racial discrimination for African American Health. Sociol Compass. 2013;7(8):630–43. https://doi.org/10.1111/soc4.12054 .
doi: 10.1111/soc4.12054
pubmed: 24855488
pmcid: 4026365
Bacon KL, Stuver SO, Cozier YC, Palmer JR, Rosenberg L, Ruiz-Narváez EA. Perceived racism and incident diabetes in the Black Women’s Health Study. Diabetologia. 2017;60(11):2221–5. https://doi.org/10.1007/s00125-017-4400-6 .
doi: 10.1007/s00125-017-4400-6
pubmed: 28812096
pmcid: 5817630
Cozier YC, Wise LA, Palmer JR, Rosenberg L. Perceived racism in relation to weight change in the Black Women’s Health Study. Ann Epidemiol. 2009;19(6):379–87. https://doi.org/10.1016/j.annepidem.2009.01.008 .
doi: 10.1016/j.annepidem.2009.01.008
pubmed: 19364665
pmcid: 2755225
Cozier YC, Yu J, Coogan PF, Bethea TN, Rosenberg L, Palmer JR. Racism, segregation, and risk of obesity in the Black Women’s Health Study. Am J Epidemiol. 2014;179(7):875–83. https://doi.org/10.1093/aje/kwu004 .
doi: 10.1093/aje/kwu004
pubmed: 24585257
pmcid: 3969538
Bethea TN, Zhou ES, Schernhammer ES, Castro-Webb N, Cozier YC, Rosenberg L. Perceived racial discrimination and risk of insomnia among middle-aged and elderly Black women. Sleep. 2020;43(1). doi: https://doi.org/10.1093/sleep/zsz208 .
Jacob G, Faber SC, Faber N, Bartlett A, Ouimet AJ, Williams MT. A systematic review of Black people coping with racism: approaches, analysis, and empowerment. Perspect Psychol Sci. 2023;18(2):392–415. https://doi.org/10.1177/17456916221100509 .
doi: 10.1177/17456916221100509
pubmed: 36006823
Cuevas AG, Ong AD, Carvalho K, Ho T, Chan SWC, Allen JD, et al. Discrimination and systemic inflammation: a critical review and synthesis. Brain Behav Immun. 2020;89:465–79. https://doi.org/10.1016/j.bbi.2020.07.017 .
doi: 10.1016/j.bbi.2020.07.017
pubmed: 32688027
pmcid: 8362502
Simons RL, Lei MK, Beach SRH, Barr AB, Simons LG, Gibbons FX, et al. Discrimination, segregation, and chronic inflammation: testing the weathering explanation for the poor health of Black Americans. Dev Psychol. 2018;54(10):1993–2006. https://doi.org/10.1037/dev0000511 .
doi: 10.1037/dev0000511
pubmed: 30234347
pmcid: 7685230
Giurgescu C, Nowak AL, Gillespie S, Nolan TS, Anderson CM, Ford JL, et al. Neighborhood environment and DNA methylation: implications for cardiovascular disease risk. J Urban Health. 2019;96(Suppl 1):23–34. https://doi.org/10.1007/s11524-018-00341-1 .
doi: 10.1007/s11524-018-00341-1
pubmed: 30635842
pmcid: 6430282
Shields AE, Wise LA, Ruiz-Narvaez EA, Seddighzadeh B, Byun HM, Cozier YC, et al. Childhood abuse, promoter methylation of leukocyte NR3C1 and the potential modifying effect of emotional support. Epigenomics. 2016;8(11):1507–17. https://doi.org/10.2217/epi-2016-0074 .
doi: 10.2217/epi-2016-0074
pubmed: 27620456
pmcid: 5116751
Smith JA, Zhao W, Wang X, Ratliff SM, Mukherjee B, Kardia SLR, et al. Neighborhood characteristics influence DNA methylation of genes involved in stress response and inflammation: the multi-ethnic study of atherosclerosis. Epigenetics. 2017;12(8):662–73. https://doi.org/10.1080/15592294.2017.1341026 .
doi: 10.1080/15592294.2017.1341026
pubmed: 28678593
pmcid: 5687339
de Barcelona Mendoza V, Huang Y, Crusto CA, Sun YV, Taylor JY. Perceived racial discrimination and DNA methylation among African American women in the InterGEN study. Biol Res Nurs. 2018;20(2):145–52. https://doi.org/10.1177/1099800417748759 .
doi: 10.1177/1099800417748759
Murray CJ, Kulkarni SC, Michaud C, Tomijima N, Bulzacchelli MT, Iandiorio TJ, et al. Eight Americas: investigating mortality disparities across races, counties, and race-counties in the United States. PLoS Med. 2006;3(9): e260. https://doi.org/10.1371/journal.pmed.0030260 .
doi: 10.1371/journal.pmed.0030260
pubmed: 16968116
pmcid: 1564165
Chae DH, Nuru-Jeter AM, Adler NE, Brody GH, Lin J, Blackburn EH, et al. Discrimination, racial bias, and telomere length in African-American men. Am J Prev Med. 2014;46(2):103–11. https://doi.org/10.1016/j.amepre.2013.10.020 .
doi: 10.1016/j.amepre.2013.10.020
pubmed: 24439343
pmcid: 5407682
Lee DB, Kim ES, Neblett EW. The link between discrimination and telomere length in African American adults. Health Psychol. 2017;36(5):458–67. https://doi.org/10.1037/hea0000450 .
doi: 10.1037/hea0000450
pubmed: 28425738
Liu SY, Kawachi I. Discrimination and telomere length among older adults in the United States. Public Health Rep. 2017;132(2):220–30. https://doi.org/10.1177/0033354916689613 .
doi: 10.1177/0033354916689613
pubmed: 28147207
pmcid: 5349488
Lu D, Palmer JR, Rosenberg L, Shields AE, Orr EH, DeVivo I, et al. Perceived racism in relation to telomere length among African American women in the Black Women’s Health Study. Ann Epidemiol. 2019;36:33–9. https://doi.org/10.1016/j.annepidem.2019.06.003 .
doi: 10.1016/j.annepidem.2019.06.003
pubmed: 31387775
pmcid: 7048405
Hailu EM, Needham BL, Lewis TT, Lin J, Seeman TE, Roux AD, et al. Discrimination, social support, and telomere length: the multi-ethnic study of atherosclerosis (MESA). Ann Epidemiol. 2020;42:58-63.e2. https://doi.org/10.1016/j.annepidem.2019.12.009 .
doi: 10.1016/j.annepidem.2019.12.009
pubmed: 32070634
Beatty Moody DL, Leibel DK, Darden TM, Ashe JJ, Waldstein SR, Katzel LI, et al. Interpersonal-level discrimination indices, sociodemographic factors, and telomere length in African-Americans and Whites. Biol Psychol. 2019;141:1–9. https://doi.org/10.1016/j.biopsycho.2018.12.004 .
doi: 10.1016/j.biopsycho.2018.12.004
pubmed: 30553820
Marioni RE, Shah S, McRae AF, Chen BH, Colicino E, Harris SE, et al. DNA methylation age of blood predicts all-cause mortality in later life. Genome Biol. 2015;16:25. https://doi.org/10.1186/s13059-015-0584-6 .
doi: 10.1186/s13059-015-0584-6
pubmed: 25633388
pmcid: 4350614
Perna L, Zhang Y, Mons U, Holleczek B, Saum KU, Brenner H. Epigenetic age acceleration predicts cancer, cardiovascular, and all-cause mortality in a German case cohort. Clin Epigenetics. 2016;8:64. https://doi.org/10.1186/s13148-016-0228-z .
doi: 10.1186/s13148-016-0228-z
pubmed: 27274774
pmcid: 4891876
Chen BH, Marioni RE, Colicino E, Peters MJ, Ward-Caviness CK, Tsai PC, et al. DNA methylation-based measures of biological age: meta-analysis predicting time to death. Aging (Albany NY). 2016;8(9):1844–65. https://doi.org/10.18632/aging.101020 .
doi: 10.18632/aging.101020
pubmed: 27690265
pmcid: 5076441
Zannas AS, Arloth J, Carrillo-Roa T, Iurato S, Roh S, Ressler KJ, et al. Lifetime stress accelerates epigenetic aging in an urban, African American cohort: relevance of glucocorticoid signaling. Genome Biol. 2015;16:266. https://doi.org/10.1186/s13059-015-0828-5 .
doi: 10.1186/s13059-015-0828-5
pubmed: 26673150
pmcid: 4699359
Simons RL, Lei MK, Beach SR, Philibert RA, Cutrona CE, Gibbons FX, et al. Economic hardship and biological weathering the epigenetics of aging in a U.S. sample of black women. Soc Sci Med. 2016;150:192–200. https://doi.org/10.1016/j.socscimed.2015.12.001 .
doi: 10.1016/j.socscimed.2015.12.001
pubmed: 26765221
Simons RL, Ong ML, Lei MK, Klopach E, Berg M, Zhang Y, et al. Shifts in lifestyle and socioeconomic circumstances predict change-for better or worse-in speed of epigenetic aging: A study of middle-aged black women. Soc Sci Med. 2022;307: 115175. https://doi.org/10.1016/j.socscimed.2022.115175 .
doi: 10.1016/j.socscimed.2022.115175
pubmed: 35820233
Berg MT, Rogers EM, Lei MK, Simons RL. Losing years doing time: incarceration exposure and accelerated biological aging among African American adults. J Health Soc Behav. 2021;62(4):460–76. https://doi.org/10.1177/00221465211052568 .
doi: 10.1177/00221465211052568
pubmed: 34698583
Brody GH, Miller GE, Yu T, Beach SR, Chen E. Supportive family environments ameliorate the link between racial discrimination and epigenetic aging: a replication across two longitudinal cohorts. Psychol Sci. 2016;27(4):530–41. https://doi.org/10.1177/0956797615626703 .
doi: 10.1177/0956797615626703
pubmed: 26917213
pmcid: 4833531
Simons RL, Lei MK, Klopack E, Beach SRH, Gibbons FX, Philibert RA. The effects of social adversity, discrimination, and health risk behaviors on the accelerated aging of African Americans: further support for the weathering hypothesis. Soc Sci Med. 2021;282: 113169. https://doi.org/10.1016/j.socscimed.2020.113169 .
doi: 10.1016/j.socscimed.2020.113169
pubmed: 32690336
Rosenberg L, Adams-Campbell L, Palmer JR. The Black Women’s Health Study: a follow-up study for causes and preventions of illness. J Am Med Womens Assoc. 1995;50(2):56–8.
Department of Health, Human Services, Center for Medicare and Medicaid Services. Regulation and Guidance. Available at: http://www.cms.hhs.gov/CLIA/ (Accessed 07.01.2013).
Aryee MJ, Jaffe AE, Corrada-Bravo H, Ladd-Acosta C, Feinberg AP, Hansen KD, et al. Minfi: a flexible and comprehensive bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics. 2014;30(10):1363–9. https://doi.org/10.1093/bioinformatics/btu049 .
doi: 10.1093/bioinformatics/btu049
pubmed: 24478339
pmcid: 4016708
Xu Z, Niu L, Li L, Taylor JA. ENmix: a novel background correction method for Illumina HumanMethylation450 BeadChip. Nucleic Acids Res. 2016;44(3): e20. https://doi.org/10.1093/nar/gkv907 .
doi: 10.1093/nar/gkv907
pubmed: 26384415
Peters TJ, Buckley MJ, Statham AL, Pidsley R, Samaras K, Lord R, et al. De novo identification of differentially methylated regions in the human genome. Epigenetics Chromatin. 2015;8:6. https://doi.org/10.1186/1756-8935-8-6 .
doi: 10.1186/1756-8935-8-6
pubmed: 25972926
pmcid: 4429355
Pidsley R, Zotenko E, Peters TJ, Lawrence MG, Risbridger GP, Molloy P, et al. Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling. Genome Biol. 2016;17(1):208. https://doi.org/10.1186/s13059-016-1066-1 .
doi: 10.1186/s13059-016-1066-1
pubmed: 27717381
pmcid: 5055731
Fortin JP, Triche TJ, Hansen KD. Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi. Bioinformatics. 2017;33(4):558–60. https://doi.org/10.1093/bioinformatics/btw691 .
doi: 10.1093/bioinformatics/btw691
pubmed: 28035024
Horvath S. DNA methylation age of human tissues and cell types. Genome Biol. 2013;14(10):R115. https://doi.org/10.1186/gb-2013-14-10-r115 .
doi: 10.1186/gb-2013-14-10-r115
pubmed: 24138928
pmcid: 4015143
Horvath S, Oshima J, Martin GM, Lu AT, Quach A, Cohen H, et al. Epigenetic clock for skin and blood cells applied to Hutchinson Gilford Progeria syndrome and. Aging (Albany NY). 2018;10(7):1758–75. https://doi.org/10.18632/aging.101508 .
doi: 10.18632/aging.101508
pubmed: 30048243
pmcid: 6075434
Hannum G, Guinney J, Zhao L, Zhang L, Hughes G, Sadda S, et al. Genome-wide methylation profiles reveal quantitative views of human aging rates. Mol Cell. 2013;49(2):359–67. https://doi.org/10.1016/j.molcel.2012.10.016 .
doi: 10.1016/j.molcel.2012.10.016
pubmed: 23177740
Levine ME, Lu AT, Quach A, Chen BH, Assimes TL, Bandinelli S, et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging (Albany NY). 2018;10(4):573–91. https://doi.org/10.18632/aging.101414 .
doi: 10.18632/aging.101414
pubmed: 29676998
pmcid: 5940111
Lu AT, Quach A, Wilson JG, Reiner AP, Aviv A, Raj K, et al. DNA methylation GrimAge strongly predicts lifespan and healthspan. Aging (Albany NY). 2019;11(2):303–27. https://doi.org/10.18632/aging.101684 .
doi: 10.18632/aging.101684
pubmed: 30669119
pmcid: 6366976
Horvath S, Gurven M, Levine ME, Trumble BC, Kaplan H, Allayee H, et al. An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease. Genome Biol. 2016;17(1):171. https://doi.org/10.1186/s13059-016-1030-0 .
doi: 10.1186/s13059-016-1030-0
pubmed: 27511193
pmcid: 4980791
Lu AT, Seeboth A, Tsai PC, Sun D, Quach A, Reiner AP, et al. DNA methylation-based estimator of telomere length. Aging (Albany NY). 2019;11(16):5895–923. https://doi.org/10.18632/aging.102173 .
doi: 10.18632/aging.102173
pubmed: 31422385
pmcid: 6738410
Williams DR, Yu Y, Jackson JS, Anderson NB. Racial differences in physical and mental health: socio-economic status, stress and discrimination. J Health Psychol. 1997;2(3):335–51.
doi: 10.1177/135910539700200305
pubmed: 22013026
Krishnan S, Cozier YC, Rosenberg L, Palmer JR. Socioeconomic status and incidence of type 2 diabetes: results from the Black Women’s Health Study. Am J Epidemiol. 2010;171(5):564–70.
doi: 10.1093/aje/kwp443
pubmed: 20133518
pmcid: 2842221
Coogan PF, Cozier YC, Krishnan S, Wise LA, Adams-Campbell LL, Rosenberg L, et al. Neighborhood socioeconomic status in relation to 10-year weight gain in the Black Women’s Health Study. Obesity(Silver Spring) 2010:2064-5.
Coogan PF, White LF, Evans SR, Palmer JR, Rosenberg L. The influence of neighborhood socioeconomic status and walkability on TV viewing time. J Phys Act Health. 2012;9(8):1074–9. https://doi.org/10.1123/jpah.9.8.1074 .
doi: 10.1123/jpah.9.8.1074
pubmed: 22207592
Houseman EA, Accomando WP, Koestler DC, Christensen BC, Marsit CJ, Nelson HH, et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics. 2012;13:86. https://doi.org/10.1186/1471-2105-13-86 .
doi: 10.1186/1471-2105-13-86
pubmed: 22568884
pmcid: 3532182
Barfield RT, Kilaru V, Smith AK, Conneely KN. CpGassoc: an R function for analysis of DNA methylation microarray data. Bioinformatics. 2012;28(9):1280–1. https://doi.org/10.1093/bioinformatics/bts124 .
doi: 10.1093/bioinformatics/bts124
pubmed: 22451269
pmcid: 3577110
Vignali R, Marracci S. HMGA genes and proteins in development and evolution. Int J Mol Sci. 2020;21(2). doi: https://doi.org/10.3390/ijms21020654 .
Vujkovic M, Keaton JM, Lynch JA, Miller DR, Zhou J, Tcheandjieu C, et al. Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ancestry meta-analysis. Nat Genet. 2020;52(7):680–91.
doi: 10.1038/s41588-020-0637-y
pubmed: 32541925
pmcid: 7343592
Uribe-Salazar JM, Palmer JR, Haddad SA, Rosenberg L, Ruiz-Narváez EA. Admixture mapping and fine-mapping of type 2 diabetes susceptibility loci in African American women. J Hum Genet. 2018;63(11):1109–17. https://doi.org/10.1038/s10038-018-0503-2 .
doi: 10.1038/s10038-018-0503-2
pubmed: 30135545
pmcid: 6202164
Wu Y, Palmer JR, Rosenberg L, Ruiz-Narváez EA. Admixture mapping of anthropometric traits in the Black Women’s Health Study: evidence of a shared African ancestry component with birth weight and type 2 diabetes. J Hum Genet. 2022;67(6):331–8. https://doi.org/10.1038/s10038-022-01010-7 .
doi: 10.1038/s10038-022-01010-7
pubmed: 35017682
Cozier Y, Palmer JR, Horton NJ, Fredman L, Wise LA, Rosenberg L. Racial discrimination and the incidence of hypertension in US black women. Ann Epidemiol. 2006;16(9):681–7. https://doi.org/10.1016/j.annepidem.2005.11.008 .
doi: 10.1016/j.annepidem.2005.11.008
pubmed: 16458539