作者
Xinan Wang, Ziwei Zhang, Yi Ding, Tony Chen, Lorelei Mucci, Demetrios Albanes, Maria Teresa Landi, Neil E Caporaso, Stephen Lam, Adonina Tardon, Chu Chen, Stig E Bojesen, Mattias Johansson, Angela Risch, Heike Bickeböller, H-Erich Wichmann, Gadi Rennert, Susanne Arnold, Paul Brennan, James D McKay, John K Field, Sanjay S Shete, Loic Le Marchand, Geoffrey Liu, Angeline S Andrew, Lambertus A Kiemeney, Shan Zienolddiny-Narui, Annelie Behndig, Mikael Johansson, Angie Cox, Philip Lazarus, Matthew B Schabath, Melinda C Aldrich, Rayjean J Hung, Christopher I Amos, Xihong Lin, David C Christiani
发表日期
2024/2/5
期刊
Genome medicine
卷号
16
期号
1
页码范围
22
出版商
BioMed Central
简介
Background
Although polygenic risk score (PRS) has emerged as a promising tool for predicting cancer risk from genome-wide association studies (GWAS), the individual-level accuracy of lung cancer PRS and the extent to which its impact on subsequent clinical applications remains largely unexplored.
Methods
Lung cancer PRSs and confidence/credible interval (CI) were constructed using two statistical approaches for each individual: (1) the weighted sum of 16 GWAS-derived significant SNP loci and the CI through the bootstrapping method (PRS-16-CV) and (2) LDpred2 and the CI through posteriors sampling (PRS-Bayes), among 17,166 lung cancer cases and 12,894 controls with European ancestry from the International Lung Cancer Consortium. Individuals were classified into different genetic risk subgroups based on the relationship between their own PRS mean/PRS CI and the population level threshold …
学术搜索中的文章
X Wang, Z Zhang, Y Ding, T Chen, L Mucci, D Albanes… - Genome medicine, 2024