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Combining Asian-European Genome-Wide Association Studies of Colorectal Cancer Improves Risk Prediction Across Race and Ethnicity

Authors :
Minta Thomas
Yu-Ru Su
Elisabeth A. Rosenthal
Lori C Sakoda
Stephanie L Schmit
Maria N Timofeeva
Zhishan Chen
Ceres Fernandez-Rozadilla
Philip J Law
Neil Murphy
Robert Carreras-Torres
Virginia Diez-Obrero
Franzel JB van Duijnhoven
Shangqing Jiang
Aesun Shin
Alicja Wolk
Amanda I Phipps
Andrea Burnett-Hartman
Andrea Gsur
Andrew T Chan
Ann G Zauber
Anna H Wu
Annika Lindblom
Caroline Y Um
Catherine M Tangen
Chris Gignoux
Christina Newton
Christopher A. Haiman
Conghui Qu
D Timothy Bishop
Daniel D Buchanan
David R. Crosslin
David V Conti
Dong-Hyun Kim
Elizabeth Hauser
Emily White
Erin Siegel
Fredrick R Schumacher
Gad Rennert
Graham G Giles
Heather Hampel
Hermann Brenner
Isao Oze
Jae Hwan Oh
Jeffrey K Lee
Jennifer L Schneider
Jenny Chang-Claude
Jeongseon Kim
Jeroen R Huyghe
Jiayin Zheng
Jochen Hampe
Joel Greenson
John L Hopper
Julie R Palmer
Kala Visvanathan
Keitaro Matsuo
Koichi Matsuda
Keum Ji Jung
Li Li
Loic Le Marchand
Ludmila Vodickova
Luis Bujanda
Marc J Gunter
Marco Matejcic
Mark A Jenkins
Martha L Slattery
Mauro D’Amato
Meilin Wang
Michael Hoffmeister
Michael O Woods
Michelle Kim
Mingyang Song
Motoki Iwasaki
Mulong Du
Natalia Udaltsova
Norie Sawada
Pavel Vodicka
Peter T Campbell
Polly A Newcomb
Qiuyin Cai
Rachel Pearlman
Rish K Pai
Robert E Schoen
Robert S Steinfelder
Robert W Haile
Rosita Vandenputtelaar
Ross L Prentice
Sébastien Küry
Sergi Castellví-Bel
Shoichiro Tsugane
Sonja I Berndt
Soo Chin Lee
Stefanie Brezina
Stephanie J Weinstein
Stephen J Chanock
Sun Ha Jee
Sun-Seog Kweon
Susan Vadaparampil
Tabitha A Harrison
Taiki Yamaji
Temitope O Keku
Veronika Vymetalkova
Volker Arndt
Wei-Hua Jia
Xiao-Ou Shu
Yi Lin
Yoon-Ok Ahn
Zsofia K Stadler
Bethany Van Guelpen
Cornelia M Ulrich
Elizabeth A Platz
John D Potter
Christopher I Li
Reinier Meester
Victor Moreno
Jane C Figueiredo
Graham Casey
Iris Landorp Vogelaar
Malcolm G Dunlop
Stephen B Gruber
Richard B Hayes
Paul D P Pharoah
Richard S Houlston
Gail P Jarvik
Ian P Tomlinson
Wei Zheng
Douglas A Corley
Ulrike Peters
Li Hsu
Source :
medRxiv
Publication Year :
2023
Publisher :
Cold Spring Harbor Laboratory, 2023.

Abstract

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 expanded 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% CI) of PRS were 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1,681-3,651 cases and 8,696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They were significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values

Subjects

Subjects :
Article

Details

Language :
English
Database :
OpenAIRE
Journal :
medRxiv
Accession number :
edsair.doi.dedup.....cf06a412fb514674d86ced441c25f727