Table S5 from Predicting Cancer Risk from Germline Whole-exome Sequencing Data Using a Novel Context-based Variant Aggregation Approach
收藏aacr.figshare.com2023-06-17 更新2025-03-25 收录
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Table S5: Significant predictors from individual association analyses based on SNP array data. The significance threshold for each cancer type was 0.05/2824 (2824 predictors were tested for each cancer type).
表 S5:基于单核苷酸多态性(SNP)芯片数据进行的个体关联分析中的显著预测因子。每种癌症类型的显著性阈值均为 0.05/2824(针对每种癌症类型,共测试了 2824 个预测因子)。
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