%0 Journal Article
%A Blechter, Batel
%A Wang, Xiaoyu
%A Dai, Juncheng
%A Karsonaki, Christiana
%A Shi, Jianxin
%A Shiraishi, Kouya
%A Choi, Jiyeon
%A Matsuo, Keitaro
%A Chen, Tzu-Yu
%A Hung, Rayjean J
%A Chen, Kexin
%A Shu, Xiao-Ou
%A Kim, Young Tae
%A Choudhury, Parichoy Pal
%A Williams, Jacob
%A Landi, Maria Teresa
%A Lin, Dongxin
%A Zheng, Wei
%A Yin, Zhihua
%A Zhou, Baosen
%A Wang, Jiucun
%A Seow, Wei Jie
%A Song, Lei
%A Chang, I-Shou
%A Hu, Wei
%A Chien, Li-Hsin
%A Cai, Qiuyin
%A Hong, Yun-Chul
%A Kim, Hee Nam
%A Wu, Yi-Long
%A Wong, Maria Pik
%A Richardson, Brian Douglas
%A Li, Shilan
%A Zhang, Tongwu
%A Breeze, Charles
%A Wang, Zhaoming
%A Bassig, Bryan A
%A Kim, Jin Hee
%A Albanes, Demetrius
%A Wong Sm, Jason Yy
%A Shin, Min-Ho
%A Chung, Lap Ping
%A Yang, Yang
%A Zheng, Hong
%A Dai, Hongji
%A Yatabe, Yasushi
%A Zhang, Xu-Chao
%A Kim, Young-Chul
%A Caporaso, Neil E
%A Chang, Jiang
%A Ho, James Chung Man
%A Daigo, Yataro
%A Momozawa, Yukihide
%A Kamatani, Yoichiro
%A Kobayashi, Masashi
%A Okubo, Kenichi
%A Honda, Takayuki
%A Hosgood, H Dean
%A Kunitoh, Hideo
%A Watanabe, Shun-Ichi
%A Miyagi, Yohei
%A Matsumoto, Shingo
%A Horinouchi, Hidehito
%A Tsuboi, Masahiro
%A Hamamoto, Ryuji
%A Goto, Koichi
%A Takahashi, Atsushi
%A Goto, Akiteru
%A Minamiya, Yoshihiro
%A Hara, Megumi
%A Nishida, Yuichiro
%A Takeuchi, Kenji
%A Wakai, Kenji
%A Matsuda, Koichi
%A Murakami, Yoshinori
%A Shimizu, Kimihiro
%A Suzuki, Hiroyuki
%A Saito, Motonobu
%A Ohtaki, Yoichi
%A Tanaka, Kazumi
%A Wu, Tangchun
%A Wei, Fusheng
%A Machiela, Mitchell J
%A Kim, Yeul Hong
%A Oh, In-Jae
%A Lee, Victor Ho Fun
%A Chang, Gee-Chen
%A Chen, Kuan-Yu
%A Su, Wu-Chou
%A Chen, Yuh-Min
%A Seow, Adeline
%A Park, Jae Yong
%A Kweon, Sun-Seog
%A Gao, Yu-Tang
%A Liu, Jianjun
%A Schwartz, Ann G
%A Houlston, Richard
%A Gorlov, Ivan P
%A Wu, Xifeng
%A Yang, Ping
%A Lam, Stephen
%A Tardon, Adonina
%A Chen, Chu
%A Bojesen, Stig E
%A Johansson, Mattias
%A Risch, Angela
%A Bickeböller, Heike
%A Ji, Bu-Tian
%A Wichmann, H-Erich
%A Christiani, David C
%A Rennert, Gad
%A Arnold, Susanne M
%A Brennan, Paul
%A McKay, James
%A Field, John K
%A Davies, Michael P A
%A Shete, Sanjay S
%A Le Marchand, Loïc
%A Liu, Geoffrey
%A Andrew, Angeline S
%A Kiemeney, Lambertus A
%A Zienolddiny-Narui, Shan
%A Grankvist, Kjell
%A Cox, Angela
%A Taylor, Fiona
%A Yuan, Jian-Min
%A Lazarus, Philip
%A Schabath, Matthew B
%A Aldrich, Melinda C
%A Jeon, Hyo-Sung
%A Jiang, Shih Sheng
%A Chen, Chung-Hsing
%A Hsiao, Chin-Fu
%A Hu, Zhibin
%A Burdett, Laura
%A Yeager, Meredith
%A Hutchinson, Amy
%A Hicks, Belynda
%A Liu, Jia
%A Berndt, Sonja I
%A Wu, Wei
%A Wang, Junwen
%A Li, Yuqing
%A Choi, Jin Eun
%A Park, Kyong Hwa
%A Sung, Sook Whan
%A Kang, Chang Hyun
%A Wang, Wen-Chang
%A Xu, Jun
%A Guan, Peng
%A Tan, Wen
%A Yu, Chong-Jen
%A Yang, Gong
%A Sihoe, Alan Dart Loon
%A Choi, Yi Young
%A Park, In Kyu
%A Hung, Hsiao-Han
%A Vermeulen, Roel C H
%A Cheng, Iona
%A Wu, Junjie
%A Tsai, Fang-Yu
%A Chan, John K C
%A Li, Jihua
%A Lin, Hsien-Chih
%A Liu, Jie
%A Song, Bao
%A Sawada, Norie
%A Yamaji, Taiki
%A Wyatt, Kathleen
%A Ma, Hongxia
%A Zhu, Meng
%A Wang, Yifan
%A Qi, Tianchen
%A Li, Xuelian
%A Ren, Yangwu
%A Chao, Ann
%A Iwasaki, Motoki
%A Zhu, Junjie
%A Wu, Guoping
%A Chen, Chih-Yi
%A ScD, Chien-Jen Chen
%A Yang, Pan-Chyr
%A Stevens, Victoria L
%A Fraumeni, Joseph F
%A Lin, Kuang
%A Walters, Robin G
%A Chen, Zhengming
%A Chatterjee, Nilanjan
%A Gorlova, Olga Y
%A Amos, Christopher I
%A Shen, Hongbing
%A Hsiung, Chao Agnes
%A Chanock, Stephen J
%A Rothman, Nathaniel
%A Kohno, Takashi
%A Lan, Qing
%A Zhang, Haoyu
%T Stratifying lung adenocarcinoma risk with multi-ancestry polygenic risk scores in East Asian never-smokers.
%J Journal of the National Cancer Institute
%V nn
%@ 0027-8874
%C Oxford
%I Oxford Univ. Press
%M DKFZ-2025-02022
%P nn
%D 2025
%Z ISSN 1460-2105 / epub
%X Lung adenocarcinoma (LUAD) in never-smokers is a major public health burden, especially among East Asian women. Polygenic risk scores (PRSs) are promising for risk stratification but are primarily developed in European-ancestry populations. We aimed to develop and validate single- and multi-ancestry PRSs for East Asian never-smokers to improve LUAD risk prediction.PRSs were developed using genome-wide association study summary statistics from East Asian (8,002 cases; 20,782 controls) and European (2,058 cases; 5,575 controls) populations. Single-ancestry models included PRS-25, PRS-CT, and LDpred2; multi-ancestry models included LDpred2+PRS-EUR128, PRS-CSx, and CT-SLEB. Performance was evaluated in independent East Asian data from the Female Lung Cancer Consortium (FLCCA) and externally validated in the Nanjing Lung Cancer Cohort (NJLCC). We assessed predictive accuracy via AUC, with 10-year and (age 30-80) absolute risks estimates.The best multi-ancestry PRS, using East Asian and European data via CT-SLEB (clumping and thresholding, super learning, empirical Bayes), outperformed the best East Asian-only PRS (LDpred2; AUC = 0.629, 95
%K East Asian never smokers (Other)
%K Genome-wide association studies (Other)
%K Lifetime absolute risk (Other)
%K Lung adenocarcinoma (Other)
%K Polygenic risk scores (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:41032288
%R 10.1093/jnci/djaf272
%U https://inrepo02.dkfz.de/record/305046