Colorectal cancer risk prediction
About
Input basic information:
Sex:
Male
Female
Age (years old):
Input genetic information:
Load Your Genotype File (txt file)
Browse...
Load Example Genotype File:
No
Yes
Download example Genotype Data
Input lifestyle information:
Smoking status:
Never
Previous/Current
Alcohol drinker status:
Never
Previous/Current
Body mass index (Kg/m2):
Waist-to-hip ratio:
Number of days/week of moderate physical activity 10+ minutes:
Number of days/week of vigorous physical activity 10+ minutes:
Sedentary time (hours/day; e.g., time spent on watching television or using computer):
Beef intake:
Never
Less than once a week
Once a week
2-4 times a week
5-6 times a week
Once or more daily
Lamb/mutton intake:
Never
Less than once a week
Once a week
2-4 times a week
5-6 times a week
Once or more daily
Pork intake:
Never
Less than once a week
Once a week
2-4 times a week
5-6 times a week
Once or more daily
Processed meat intake:
Never
Less than once a week
Once a week
2-4 times a week
5-6 times a week
Once or more daily
Fresh fruit intake (pieces/day):
Dried fruit intake (pieces/day):
Salad/raw vegetable intake (tablespoons/day):
Cooked vegetable intake (tablespoons/day):
Submit
Estimation of 5-year Absolute Risk:
CRC-RPS aims to provide a user-friendly web server for predicting colorectal cancer risk.
In CRC-RPS, users can:
Estimate the 5-year Absolute Risk of colorectal cancer:
When the user enters sex, age, lifestyle factors and genome-wide genotypes, the 5-year Absolute Risk can be predicted, to evaluate whether the user is at high risk of developing colorectal cancer.
Citation:
Risk stratification for colorectal cancer via polygenic risk score and lifestyle: a large-scale association study of East Asian and European populations.
Data release:
Download Posterior SNP effect size estimates for the EAS-EUR PRS of colorectal cancer
Contact:
We are welcoming any technical issues and comments to improve the database utilizability, the e-mail address is as follows:
E-mail: Meilin Wang (
mwang@njmu.edu.cn
) or Junyi Xin (
junyixin123@126.com
)
Department of Environmental Genomics (PIs: Prof. Zhengdong Zhang and Meilin Wang)
School of Public Health, Nanjing Medical University
101 Longmian Avenue, Nanjing 211166, Nanjing, China
