Given the polygenic nature of antipsychotic-induced weight gain (AIWG), we investigated whether polygenic risk scores (PRS) for various psychiatric and metabolic traits were associated with AIWG. We included individuals with schizophrenia (SCZ) of European ancestry from two cohorts (N = 151, age = 40.3 ± 11.8 and N = 138, age = 36.5 ± 10.8). We investigated associations of AIWG defined as binary and continuous variables with PRS calculated from genome-wide association studies of body mass index (BMI), coronary artery disease (CAD), fasting glucose, fasting insulin, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol (LDL-C), triglycerides, type 1 and 2 diabetes mellitus, and SCZ, using regression models. We observed nominal associations (uncorrected p < 0.05) between PRSs for BMI, CAD, and LDL-C, type 1 diabetes, and SCZ with AIWG. While results became non-significant after correction for multiple testing, these preliminary results suggest that PRS analyses might contribute to identifying risk factors of AIWG and might help to elucidate mechanisms at play in AIWG.

鉴于抗精神病药物引起的体重增加 (AIWG) 的多基因性质，我们研究了各种精神和代谢特征的多基因风险评分 (PRS) 是否与 AIWG 相关。我们纳入了来自两个队列的欧洲血统精神分裂症 (SCZ) 患者（N  = 151，年龄 = 40.3 ± 11.8 和N  = 138，年龄 = 36.5 ± 10.8）。我们研究了定义为二元和连续变量的 AIWG 与根据体重指数 (BMI)、冠状动脉疾病 (CAD)、空腹血糖、空腹胰岛素、高密度脂蛋白胆固醇、低密度脂蛋白胆固醇的全基因组关联研究计算得出的 PRS 之间的关联。使用回归模型分析脂蛋白胆固醇 (LDL-C)、甘油三酯、1 型和 2 型糖尿病以及 SCZ。我们观察到 BMI、CAD 和 LDL-C、1 型糖尿病以及 SCZ 与 AIWG 之间的 PRS 之间存在名义关联（未校正p < 0.05）。虽然在多次测试校正后结果变得不显着，但这些初步结果表明 PRS 分析可能有助于识别 AIWG 的风险因素，并可能有助于阐明 AIWG 中的作用机制。