IRT for CRC
  • Developing an Integrated Risk Prediction Tool for Colorectal Cancer
  • Cohort used for the study
  • Clinical risk factors
    • Creating the clinical dataframe
    • Creating the clinical risk model
    • Analyzing the results
  • Polygenic risk scores
    • PRSice
    • Preparing to use PRSice
    • Obtaining polygenic risk scores
    • Analyzing the results
    • Plink2
  • Integrated risk score
    • Obtaining integrated risk scores
    • Analyzing the results
  • Working with real patient data
    • Genetic data from Tempus Labs
      • Preparing the data and obtaining polygenic risk scores
      • Interpreting the scores
    • Clinical data from Gastroenterology Atlanta
      • Obtaining integrated scores and understanding the results
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  1. Working with real patient data

Clinical data from Gastroenterology Atlanta

The clinical data for 24 samples was manually entered into a CSV file. Of these, there was complete clinical data and overlap only between 8 patients whose data was also genotyped.

Age
Sex
Height (in)
Weight (lbs)
Physical activity
Meat
Smoking
Alcohol
Father cancer
Mother cancer
Sibling cancer
Polyps
Ulcerative colitis

42

Male

68

204

5

Yes

Never

Special occasions only

Yes

No

No

No

No

52

Male

72

170

6

Yes

Never

One to three times a month

No

Yes

No

Yes

No

22

Female

63

159

4

Yes

Never

Special occasions only

No

No

No

No

No

55

Male

71

222

5

Yes

Never

Three or four times a week

Yes

No

No

Yes

No

50

Male

68

198

5

Yes

Never

Special occasions only

Yes

No

No

No

No

90

Male

66

190

1

Yes

Previous

Never

No

No

No

Yes

No

58

Female

66

211

0

No

Never

Special occasions only

No

No

Yes

No

No

37

Male

71

245

3

Yes

Never

Once or twice a week

Yes

No

No

No

No

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Last updated 1 year ago