Sutoh Yoichi, Hachiya Tsuyoshi, Otsuka-Yamasaki Yayoi, Komaki Shohei, Minabe Shiori, Ohmomo Hideki, Sasaki Makoto, Shimizu Atsushi
Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan.
Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan.
J Hum Genet. 2025 Jan;70(1):9-15. doi: 10.1038/s10038-024-01280-3. Epub 2024 Aug 22.
Obesity and overweight, fundamental components of the metabolic syndrome, predispose individuals to lifestyle-related diseases. The extent to which adopting healthy lifestyles can reduce obesity risk, even in those with a high genetic risk, remains uncertain. Our aim was to assess the extent to which lifestyle modifications can improve outcomes in individuals with a high polygenic score (PGS) for obesity. We quantified the genetic risk of obesity using PGSs. Four datasets from the Tohoku Medical Megabank Community-Based Cohort (TMM CommCohort) were employed in the study. One dataset (n = 9958) was used to select the best model for calculating PGS. The remaining datasets (total n = 69,341) were used in a meta-analysis to validate the model and to evaluate associated risks. The odds ratio (OR) for obesity risk in the intermediate (11th-90th percentiles in the dataset) and high PGS categories (91st-100th) was 2.27 [95% confidence intervals: 2.12-2.44] and 4.83 [4.45-5.25], respectively, compared to that in the low PGS category (1st-10th). Trend analysis showed that an increase in leisure-time physical activity was significantly associated with reduced obesity risk across all genetic risk categories, representing an OR of 0.9 [0.87-0.94] even among individuals in the high PGS category. Similarly, sodium intake displayed a positive association with obesity across all genetic risk categories, yielding an OR of 1.24 [1.17-1.31] in the high PGS category. The risk of obesity was linked to the adoption of healthy lifestyles, even in individuals with high PGS. Our results may provide perspectives for integrating PGSs into preventive medicine.
肥胖和超重是代谢综合征的基本组成部分,使个体易患与生活方式相关的疾病。即使在遗传风险高的人群中,采用健康生活方式能在多大程度上降低肥胖风险仍不确定。我们的目的是评估生活方式改变对肥胖多基因评分(PGS)高的个体的改善效果。我们使用PGS量化肥胖的遗传风险。本研究采用了来自东北医学大数据库社区队列(TMM CommCohort)的四个数据集。一个数据集(n = 9958)用于选择计算PGS的最佳模型。其余数据集(总计n = 69341)用于荟萃分析,以验证模型并评估相关风险。与低PGS类别(第1 - 10百分位数)相比,中等PGS类别(数据集中第11 - 90百分位数)和高PGS类别(第91 - 100百分位数)的肥胖风险比值比(OR)分别为2.27 [95%置信区间:2.12 - 2.44]和4.83 [4.45 - 5.25]。趋势分析表明,休闲时间身体活动的增加与所有遗传风险类别的肥胖风险降低显著相关,即使在高PGS类别的个体中,OR也为0.9 [0.87 - 0.94]。同样,在所有遗传风险类别中,钠摄入量与肥胖呈正相关,在高PGS类别中OR为1.24 [1.17 - 1.31]。即使在PGS高的个体中,肥胖风险也与采用健康生活方式有关。我们的结果可能为将PGS纳入预防医学提供思路。