Genetic evidence for causal effects of socioeconomic, lifestyle, and cardiometabolic factors on epigenetic age acceleration.
Lijie KongChaojie YeYiying WangTianzhichao HouJie ZhengZhi-Yun ZhaoMian LiYu XuJie-Li LuYuhong ChenYanan HouWei-Qing WangYanqiu WangYufang BiTian-Ge WangPublished in: The journals of gerontology. Series A, Biological sciences and medical sciences (2023)
GrimAge acceleration (GrimAgeAccel) and PhenoAge acceleration (PhenoAgeAccel) are DNA methylation-based markers of accelerated biological aging, standing out in predicting mortality and age-related cardiometabolic morbidities. Causal risk factors for GrimAgeAccel and PhenoAgeAccel are unclear. In this study, we performed two-sample univariable and multivariable Mendelian randomization (MR) to investigate causal associations of 19 modifiable socioeconomic, lifestyle, and cardiometabolic factors with GrimAgeAccel and PhenoAgeAccel. Instrument variants representing 19 modifiable factors were extracted from genome-wide association studies (GWASs) with up to 1 million Europeans. Summary statistics for GrimAgeAccel and PhenoAgeAccel were derived from a GWAS of 34,710 Europeans. We identified 12 and eight factors causally associated with GrimAgeAccel and PhenoAgeAccel, respectively. Smoking was the strongest risk factor (β [SE]: 1.299 [0.107] year) for GrimAgeAccel, followed by higher alcohol intake, higher waist circumference, daytime napping, higher body fat percentage, higher body mass index, higher C-reactive protein, higher triglycerides, childhood obesity, and type 2 diabetes; whereas education was the strongest protective factor (β [SE]: -1.143 [0.121] year), followed by household income. Furthermore, higher waist circumference (β [SE]: 0.850 [0.269] year) and education (β [SE]: -0.718 [0.151] year) were the leading causal risk and protective factors for PhenoAgeAccel, respectively. Sensitivity analyses strengthened the robustness of these causal associations. Multivariable MR analyses further demonstrated independent effects of the strongest risk and protective factors on GrimAgeAccel and PhenoAgeAccel, respectively. In conclusion, our findings provide novel quantitative evidence on modifiable causal risk factors for accelerated epigenetic aging, suggesting promising intervention targets against age-related morbidity and improving healthy longevity.
Keyphrases
- body mass index
- dna methylation
- type diabetes
- physical activity
- gene expression
- cardiovascular disease
- weight gain
- genome wide
- risk factors
- smoking cessation
- obstructive sleep apnea
- high resolution
- magnetic resonance imaging
- magnetic resonance
- depressive symptoms
- coronary artery disease
- weight loss
- contrast enhanced
- skeletal muscle
- glycemic control