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GWAS Study

Developing an optimal stratification model for colorectal cancer screening and reducing racial disparities in multi-center population-based studies.

Tian J, Zhang M, Zhang F et al.

38872215 PubMed ID
GWAS Study Type
839703 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

TJ
Tian J
ZM
Zhang M
ZF
Zhang F
GK
Gao K
LZ
Lu Z
CY
Cai Y
CC
Chen C
NC
Ning C
LY
Li Y
QS
Qian S
BH
Bai H
LY
Liu Y
ZH
Zhang H
CS
Chen S
LX
Li X
WY
Wei Y
LB
Li B
ZY
Zhu Y
YJ
Yang J
JM
Jin M
MX
Miao X
CK
Chen K
Chapter II

Abstract

Summary of the research findings

Early detection of colorectal neoplasms can reduce the colorectal cancer (CRC) burden by timely intervention for high-risk individuals. However, effective risk prediction models are lacking for personalized CRC early screening in East Asian (EAS) population. We aimed to develop, validate, and optimize a comprehensive risk prediction model across all stages of the dynamic adenoma-carcinoma sequence in EAS population.

15,714 European ancestry cases, 621,182 European ancestry controls, 7,062 East Asian ancestry cases, 195,745 East Asian ancestry controls

Chapter III

Study Statistics

Key metrics and study information

839703
Total Participants
GWAS
Study Type
No
Replicated
European, East Asian
Ancestry
Finland, U.K., Japan
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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