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Table S5 from Predicting Cancer Risk from Germline Whole-exome Sequencing Data Using a Novel Context-based Variant Aggregation Approach

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posted on 2023-04-04, 02:21 authored by Zoe Guan, Colin B. Begg, Ronglai Shen

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).

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HHS | NIH | National Cancer Institute (NCI)

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ARTICLE ABSTRACT

There is evidence that cancer is partly caused by rare genetic variants that have not yet been identified. We investigate this issue using novel statistical methods and data from the UK Biobank.

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Keywords

Epidemiology Genetics Of Cancer Risk & Outcome Methodology And Modeling Gene Technologies Comparative genomics

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CC BY

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