Paper

Pan-cancer analysis demonstrates that integrating polygenic risk scores with modifiable risk factors improves risk prediction

Published Jan 29, 2020 · DOI · L. Kachuri, R. E. Graff, K. Smith-Byrne

Nature Communications

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Abstract

Abstract hidden due to publisher request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

Observational StudyHighly Cited

Study Snapshot

Integrating genetic risk scores with family history and modifiable risk factors improves cancer risk prediction accuracy for most cancers, with the top 20% of the risk distribution accounting for 4.0% to 30.3% of cases.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Pan-cancer analysis demonstrates that integrating polygenic risk scores with modifiable risk factors improves risk prediction

References

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