SLC30A8 罕见变异可改变常见遗传因素和生活方式对 2 型糖尿病的影响

Hye-Mi Jang, Mi Yeong Hwang, Yi Seul Park, Bong-Jo Kim, Young Jin Kim
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摘要

本研究旨在调查罕见基因变异在常见遗传和生活方式因素背景下对 2 型糖尿病风险的调节作用。我们对 146284 名韩国人队列中与 2 型糖尿病相关的遗传和生活方式因素进行了全面分析。其中,4603 人在长达 18 年的随访期间患上了 2 型糖尿病。我们计算了 2 型糖尿病的多基因风险评分(PRS),并确定了 SLC30A8 的稀有等位基因 I349F 的携带者。我们还根据体育锻炼、肥胖、吸烟、饮食和钠摄入水平得出了健康生活方式评分(HLS)。我们使用 Cox 比例危险模型分析了 PRS、HLS 和 I349F 对 2 型糖尿病发病率的影响。结果显示,高 PRS 和不良生活方式与风险增加有关。值得注意的是,I349F 携带者的 2 型糖尿病发病率较低(5.4%,而非携带者为 11.7%),并将高 PRS 的影响从 23.18% 降至 12.70%。这一趋势在不同的 HLS 类别中是一致的,I349F 携带者患 2 型糖尿病的风险较低。将常见和罕见基因变异与生活方式因素相结合,提高了韩国人群中2型糖尿病的可预测性。我们的研究结果凸显了罕见基因变异在风险评估中的关键作用,并表明仅靠标准的PRS和HLS指标可能不足以预测此类变异携带者的2型糖尿病风险。
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SLC30A8 rare variant modify contribution of common genetic and lifestyle factors toward type 2 diabetes
This study aimed to investigate the modifying effects of rare genetic variants on the risk of type 2 diabetes in the context of common genetic and lifestyle factors. We conducted a comprehensive analysis of genetic and lifestyle factors associated with type 2 diabetes in a cohort of 146,284 Korean individuals. Among them, 4,603 individuals developed type 2 diabetes during the follow-up period of up to 18 years. We calculated a polygenic risk score (PRS) for type 2 diabetes and identified carriers of the rare allele I349F at SLC30A8. A Healthy Lifestyle Score (HLS) was also derived from physical activity, obesity, smoking, diet, and sodium intake levels. Using Cox proportional hazards models, we analyzed how PRS, HLS, and I349F influenced type 2 diabetes incidence. Results showed that high PRS and poor lifestyle were associated with increased risk. Remarkably, I349F carriers exhibited a lower type 2 diabetes prevalence (5.4% compared to 11.7% in non-carriers) and reduced the impact of high PRS from 23.18% to 12.70%. This trend was consistent across different HLS categories, with I349F carriers displaying a lower risk of type 2 diabetes. The integration of common and rare genetic variants with lifestyle factors enhanced type 2 diabetes predictability in the Korean population. Our findings highlight the critical role of rare genetic variants in risk assessments and suggest that standard PRS and HLS metrics alone may be inadequate for predicting type 2 diabetes risk among carriers of such variants.
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