%0 Journal Article %J The Journals of Gerontology: Series A %D 2021 %T Interaction between physical activity and polygenic score on type 2 diabetes mellitus in older Black and White participants from the Health and Retirement Study. %A Wu, Yan Yan %A Mika D. Thompson %A Youkhana, Fadi %A Catherine M. Pirkle %K Physical activity %K Polygenic risk score %K Racial differences %K type 2 diabetes %X

This study investigated the association of lifestyle factors and polygenic risk scores (PGS), and their interaction, on type 2 diabetes mellitus (T2D). We examined data from the United States Health and Retirement Study, a prospective longitudinal cohort of ≥50-year-old adults containing nationally representative samples of Black and White Americans with pre-calculated PGS for T2D (N=14,001). Predicted prevalence and incidence of T2D were calculated with logistic regression models. We calculated differences in T2D prevalence and incidence by PGS percentiles and for interaction variables using nonparametric bootstrap method. Black participants had approximately twice the prevalence of Whites (26.2% vs. 14.2%), with a larger difference between the 90 th and 10 th PGS percentile from age 50-80 years. Significant interaction (Pinteraction=0.0096) was detected between PGS and physical activity among Whites. Among Whites in the 90 th PGS percentile, T2D prevalence for moderate physical activity was 17.0% (95%CI:14.8,19.6), 6.8% lower compared to no/some physical activity (23.8%, 95%CI:20.4,27.5). T2D prevalence was similar (~10%) for both groups in the 10 th PGS percentile. Incident T2D in Whites followed a similar pattern (Pinteraction=0.0325). No significant interactions with PGS were detected among Black participants. Interaction of different genetic risk profiles with lifestyle factors may inform understanding of varying inventions' efficacy for different groups of people, potentially improving clinical and prevention interventions.

%B The Journals of Gerontology: Series A %V 76 %P 1214-1221 %G eng %N 7 %R 10.1093/gerona/glab025 %0 Journal Article %J Journal of Aging and Health %D 2020 %T Association of parenthood with incident heart disease in United States' older men and women: A longitudinal analysis of health and retirement study data. %A Sarah L Hipp %A Wu, Yan Yan %A Nicole T A Rosendaal %A Catherine M. Pirkle %K Gender Differences %K Heart disease %K Parents %K Risk Factors %K Socioeconomic factors %X

OBJECTIVE: To examine the association of number of children birthed/fathered with incident heart disease, accounting for socioeconomic and lifestyle characteristics.

METHODS: We analyzed data from 24,923 adults 50 and older (55% women) in the Health and Retirement Study. Participants self-reported number of children and doctor-diagnosed incident heart disease. Cox proportional hazards models estimated heart disease risk.

RESULTS: Compared to women with one to two children, those with five or more had increased risk of heart disease (hazard ratio [HR] = 1.13, 95% confidence interval [CI] = [1.03, 1.25]). Compared to men with one to two children, those with five or more had a marginally increased risk of heart disease (HR = 1.11, 95% CI = [0.99, 1.25]), but this association attenuated in models adjusting for socioeconomic and lifestyle variables. Compared to men with no children, those with five or more retained a borderline significant association in the fully adjusted model (HR = 1.15, 95% CI = [0.99, 1.35]).

DISCUSSION: Social and lifestyle pathways appear to link parenthood to cardiovascular health.

%B Journal of Aging and Health %V 32 %P 517-529 %G eng %N 7-8 %9 Journal %R 10.1177/0898264319831512 %0 Journal Article %J International Journal of Obesity %D 2020 %T Gene–obesogenic environment interactions on body mass indices for older black and white men and women from the Health and Retirement Study %A Mika D. Thompson %A Catherine M. Pirkle %A Youkhana, Fadi %A Wu, Yan Yan %K Genetics %K Obesity %K Risk Factors %X Background Gene–obesogenic environment interactions influence body mass index (BMI) across the life course; however, limited research examines how these interactions may differ by race and sex. Methods Utilizing mixed-effects models, we examined the interaction effects of a polygenic risk score (PGS) generated from BMI-associated single-nucleotide polymorphisms, and environmental factors, including age, physical activity, alcohol intake, and childhood socioeconomic status on measured longitudinal BMI from the Health and Retirement Study (HRS). HRS is a population representative survey of older adults in the United States. This study used a subsample of genotyped Black (N = 1796) and White (N = 4925) men and women (50–70 years) with measured BMI. Results Higher PGS was associated with higher BMI. The association between PGS and BMI weakened as individuals aged among White men (Pinteraction = 0.0383) and White women (Pinteraction = 0.0514). The mean BMI difference between the 90th and 10th PGS percentile was 4.25 kg/m2 among 50-year-old White men, and 3.11 kg/m2 among the 70 years old’s, i.e., a 1.14 kg/m2 (95% CI: −0.27, 2.82) difference. The difference among 50- and 70-year-old White women was 1.34 kg/m2 (95% CI: 0.09, 2.60). In addition, the protection effect of physical activity was stronger among White women with higher PGS (Pinteraction = 0.0546). Vigorous physical activity (compared with never) was associated with 1.66 kg/m2 (95% CI: 1.06, 2.29) lower mean BMI among those in the 90th PGS percentile, compared with 0.83 kg/m2 (95% CI: 0.37, 1.29) lower among those in the 10th PGS percentile. Interactions were also observed between both PGS and alcohol intake among White men (Pinteraction = 0.0034) and women (Pinteraction = 0.0664) and Black women (Pinteraction = 0.0108), and PGS and childhood socioeconomic status among White women (Pinteraction = 0.0007). Conclusions Our findings reinforce the importance of physical activity among those with an elevated genetic risk; additionally, other detected interactions may underscore the influence of broader social environments on obesity-promoting genes. %B International Journal of Obesity %@ 1476-5497 %G eng %U https://www.nature.com/articles/s41366-020-0589-4.epdf?sharing_token=dcGoy9qOloYheiOIjgiIw9RgN0jAjWel9jnR3ZoTv0OdnAxNnZKvDHpc27CbgU2Vj5CTrCekNuiSilBXKwZO8PfWIY-1LXuNTi1FOUmVF52AILTnAcluAAWEMu2pbuhw358vUoIeJpg_mgNlFNU3xCmKKSsDHaZ_ChoP4QpkEGI%3D %! International Journal of Obesity %R 10.1038/s41366-020-0589-4