%0 Journal Article
%A Thomas, Minta
%A Su, Yu-Ru
%A Rosenthal, Elisabeth A
%A Sakoda, Lori C
%A Schmit, Stephanie L
%A Timofeeva, Maria N
%A Chen, Zhishan
%A Fernandez-Rozadilla, Ceres
%A Law, Philip J
%A Murphy, Neil
%A Carreras-Torres, Robert
%A Diez-Obrero, Virginia
%A van Duijnhoven, Franzel J B
%A Jiang, Shangqing
%A Shin, Aesun
%A Wolk, Alicja
%A Phipps, Amanda I
%A Burnett-Hartman, Andrea
%A Gsur, Andrea
%A Chan, Andrew T
%A Zauber, Ann G
%A Wu, Anna H
%A Lindblom, Annika
%A Um, Caroline Y
%A Tangen, Catherine M
%A Gignoux, Chris
%A Newton, Christina
%A Haiman, Christopher A
%A Qu, Conghui
%A Bishop, D Timothy
%A Buchanan, Daniel D
%A Crosslin, David R
%A Conti, David V
%A Kim, Dong-Hyun
%A Hauser, Elizabeth
%A White, Emily
%A Siegel, Erin
%A Schumacher, Fredrick R
%A Rennert, Gad
%A Giles, Graham G
%A Hampel, Heather
%A Brenner, Hermann
%A Oze, Isao
%A Oh, Jae Hwan
%A Lee, Jeffrey K
%A Schneider, Jennifer L
%A Chang-Claude, Jenny
%A Kim, Jeongseon
%A Huyghe, Jeroen R
%A Zheng, Jiayin
%A Hampe, Jochen
%A Greenson, Joel
%A Hopper, John L
%A Palmer, Julie R
%A Visvanathan, Kala
%A Matsuo, Keitaro
%A Matsuda, Koichi
%A Jung, Keum Ji
%A Li, Li
%A Le Marchand, Loic
%A Vodickova, Ludmila
%A Bujanda, Luis
%A Gunter, Marc J
%A Matejcic, Marco
%A Jenkins, Mark A
%A Slattery, Martha L
%A D'Amato, Mauro
%A Wang, Meilin
%A Hoffmeister, Michael
%A Woods, Michael O
%A Kim, Michelle
%A Song, Mingyang
%A Iwasaki, Motoki
%A Du, Mulong
%A Udaltsova, Natalia
%A Sawada, Norie
%A Vodicka, Pavel
%A Campbell, Peter T
%A Newcomb, Polly A
%A Cai, Qiuyin
%A Pearlman, Rachel
%A Pai, Rish K
%A Schoen, Robert E
%A Steinfelder, Robert S
%A Haile, Robert W
%A Vandenputtelaar, Rosita
%A Prentice, Ross L
%A Küry, Sébastien
%A Castellví-Bel, Sergi
%A Tsugane, Shoichiro
%A Berndt, Sonja I
%A Lee, Soo Chin
%A Brezina, Stefanie
%A Weinstein, Stephanie J
%A Chanock, Stephen J
%A Jee, Sun Ha
%A Kweon, Sun-Seog
%A Vadaparampil, Susan
%A Harrison, Tabitha A
%A Yamaji, Taiki
%A Keku, Temitope O
%A Vymetalkova, Veronika
%A Arndt, Volker
%A Jia, Wei-Hua
%A Shu, Xiao-Ou
%A Lin, Yi
%A Ahn, Yoon-Ok
%A Stadler, Zsofia K
%A Van Guelpen, Bethany
%A Ulrich, Cornelia M
%A Platz, Elizabeth A
%A Potter, John D
%A Li, Christopher I
%A Meester, Reinier
%A Moreno, Victor
%A Figueiredo, Jane C
%A Casey, Graham
%A Lansdorp Vogelaar, Iris
%A Dunlop, Malcolm G
%A Gruber, Stephen B
%A Hayes, Richard B
%A Pharoah, Paul D P
%A Houlston, Richard S
%A Jarvik, Gail P
%A Tomlinson, Ian P
%A Zheng, Wei
%A Corley, Douglas A
%A Peters, Ulrike
%A Hsu, Li
%T Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations.
%J Nature Communications
%V 14
%N 1
%@ 2041-1723
%C [London]
%I Nature Publishing Group UK
%M DKFZ-2023-01994
%P 6147
%D 2023
%X Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:37783704
%R 10.1038/s41467-023-41819-0
%U https://inrepo02.dkfz.de/record/284405