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Impact of paternal education on epigenetic ageing in adolescence and mid-adulthood: a multi-cohort study in the USA and Mexico
International Journal of Epidemiology ( IF 7.7 ) Pub Date : 2021-09-08 , DOI: 10.1093/ije/dyab196
Brian T Joyce 1, 2 , Tao Gao 1, 2 , Kalsea Koss 3 , Yinan Zheng 1, 2 , Andres Cardenas 4 , Jonathan Heiss 5 , Allan Just 5 , Kai Zhang 6 , Linda van Horn 1 , Norrina Bai Allen 1 , Philip Greenland 1 , Sheldon Cohen 7 , Penny Gordon-Larsen 8 , Colter Mitchell 9 , Sara McLanahan 10 , Lisa Schneper 11 , Daniel Notterman 11 , Sheryl L Rifas-Shiman 12 , Emily Oken 12 , Marie-France Hivert 12, 13 , Robert Wright 5 , Andrea Baccarelli 14 , Donald Lloyd-Jones 1 , Lifang Hou 1, 2
Affiliation  

Background Both parental and neighbourhood socio-economic status (SES) are linked to poorer health independently of personal SES measures, but the biological mechanisms are unclear. Our objective was to examine these influences via epigenetic age acceleration (EAA)—the discrepancy between chronological and epigenetic ages. Methods We examined three USA-based [Coronary Artery Risk Disease in Adults (CARDIA) study, Fragile Families and Child Wellbeing Study (FFCWS) and Programming Research in Obesity, Growth, Environment and Social Stressors (PROGRESS)] and one Mexico-based (Project Viva) cohort. DNA methylation was measured using Illumina arrays, personal/parental SES by questionnaire and neighbourhood disadvantage from geocoded address. In CARDIA, we examined the most strongly associated personal, parental and neighbourhood SES measures with EAA (Hannum’s method) at study years 15 and 20 separately and combined using a generalized estimating equation (GEE) and compared with other EAA measures (Horvath’s EAA, PhenoAge and GrimAge calculators, and DunedinPoAm). Results EAA was associated with paternal education in CARDIA [GEEs: βsome college = −1.01 years (−1.91, −0.11) and β<high school = 1.05 (0.09, 2.01) vs college graduates] and FFCWS [GEEs: β<high school = 0.62 (0.00, 1.24)]. We found stronger associations for some paternal education categories among White adults (for GEE, βsome college = −1.39 (−2.41, −0.38)], men (βsome college = −1.76 (−3.16, −0.35)] and women [β<high school = 1.77 (0.42, 3.11)]. Conclusions These findings suggest that EAA captures epigenetic impacts of paternal education independently of personal SES later in life. Longitudinal studies should explore these associations at different life stages and link them to health outcomes. EAA could be a useful biomarker of SES-associated health and provide important insight into the pathogenesis and prevention of chronic disease.

中文翻译:

父亲教育对青春期和成年中期表观遗传衰老的影响:美国和墨西哥的一项多队列研究

背景 父母和邻居的社会经济地位 (SES) 都与较差的健康状况相关,与个人 SES 措施无关,但其生物学机制尚不清楚。我们的目标是通过表观遗传年龄加速(EAA)(即实际年龄和表观年龄之间的差异)来检查这些影响。方法 我们检查了三项基于美国的[成人冠状动脉风险疾病 (CARDIA) 研究、脆弱家庭和儿童福祉研究 (FFCWS) 以及肥胖、生长、环境和社会压力因素规划研究 (PROGRESS)] 和一项基于墨西哥的研究(万岁计划)队列。使用 Illumina 阵列、通过问卷调查的个人/父母 SES 以及来自地理编码地址的邻里劣势来测量 DNA 甲基化。在 CARDIA 中,我们研究了相关性最强的个人、在研究第 15 年和第 20 年,分别使用 EAA(Hannum 方法)测量父母和邻里的 SES 指标,并使用广义估计方程 (GEE) 进行结合,并与其他 EAA 指标(Horvath 的 EAA、PhenoAge 和 GrimAge 计算器以及 DunedinPoAm)进行比较。结果 EAA 与 CARDIA [GEEs:βsome 大学 = −1.01 年 (−1.91, -0.11) 和 β<高中 = 1.05 (0.09, 2.01) vs 大学毕业生] 和 FFCWS [GEEs:β<高中= 0.62 (0.00, 1.24)]。我们发现,在白人成年人(对于 GEE,βsome 大学 = -1.39 (-2.41, -0.38)]、男性(βsome 大学 = -1.76 (-3.16, -0.35)] 和女性 [β<0.35] 中,某些父亲教育类别的关联性更强。高中 = 1.77 (0.42, 3.11)]。结论 这些发现表明,EAA 捕捉到了父亲教育的表观遗传影响,独立于个人以后的社会经济地位。纵向研究应探索不同生命阶段的这些关联,并将其与健康结果联系起来。EAA 可能是 SES 相关健康的有用生物标志物,并为慢性病的发病机制和预防提供重要见解。
更新日期:2021-09-08
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