Additional file 1 of Variability of polygenic prediction for body mass index in Africa

Additional file 1: Table S1. Development of the multi-ancestry (MAMA) and UKBB PRS in AWI-Gen and the Estonian Biobank. Figure S1. A. Grid of p-value thresholds (5E-08 to 1) at which PRS were computed to determine the best predictive one. B. Selected bar plots of p-value thresholds at which PRS were computed, indicating the best predictive one. Table S2. Development of the South African PRS using the AWI-Gen dataset. Table S3. Development of the West African PRS using the AWI-Gen dataset. Table S4. Clumping and LD parameters in the full AWIGen target dataset before splitting into training and validation. Table S5: Clumping and LD parameters in the AWIGen South target dataset before splitting into training and validation. Table S6. Clumping and LD parameters in the full AWIGen West target dataset before splitting into training and validation. Table S7. PRS and sex interaction models. Table S8. PRS and sex interaction models using inverse rank normalized BMI adjusted for age and principal components. Table S9. PRS and socioeconomic status interaction full model. Table S10. PRS and alcohol interaction full model. Table S11. PRS and smoking status full model. Table S12. PRS and physical activity interaction full model.补充材料1：表S1 基于AWI-Gen与爱沙尼亚生物库构建多祖先（MAMA）队列及英国生物库（UKBB）的多基因风险评分（Polygenic Risk Score, PRS）。 图S1：A. 用于计算多基因风险评分的p值阈值网格（取值范围为5×10^-8至1），以筛选预测性能最优的PRS模型；B. 经筛选的多基因风险评分计算所用p值阈值的条形图，标注出预测性能最优的阈值。 表S2 基于AWI-Gen数据集构建南非队列的多基因风险评分。 表S3 基于AWI-Gen数据集构建西非队列的多基因风险评分。 表S4 拆分至训练集与验证集前，完整AWI-Gen目标数据集的连锁不平衡（Linkage Disequilibrium, LD）聚类参数。 表S5 拆分至训练集与验证集前，AWI-Gen南非子队列目标数据集的连锁不平衡聚类参数。 表S6 拆分至训练集与验证集前，AWI-Gen西非子队列目标数据集的连锁不平衡聚类参数。 表S7 多基因风险评分与性别的交互作用模型。 表S8 基于经年龄与主成分校正的逆秩标准化体质指数（Body Mass Index, BMI）的多基因风险评分与性别的交互作用模型。 表S9 多基因风险评分与社会经济地位的全交互作用模型。 表S10 多基因风险评分与饮酒情况的全交互作用模型。 表S11 多基因风险评分与吸烟状态的全交互作用模型。 表S12 多基因风险评分与体力活动的全交互作用模型。