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Principal Investigator
Name
Hormuzd Katki
Degrees
PhD
Institution
NCI
Position Title
Senior Investigator
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-875
Initial CDAS Request Approval
Dec 8, 2021
Title
Use of genetic ancestry versus self-reported race/ethnicity to predict lung-cancer risk in the PLCO
Summary
We used PLCO to develop models of lung-cancer risk, and all-cause mortality, that recommended for use in identifying high-benefit people for lung-cancer screening. Our models use self-reported race/ethnicity which is a sociologic variable, partly reflecting historic discrimination and lack of insurance access to care, which should not be used to reduce eligibility and perpetuate disparities. We wish to examine genetic ancestry, a more biologically-determined variable, to see how it predicts lung-cancer and all-cause mortality, and how its use might affect racial/ethnic disparities in screening eligibility.
Aims

1. Include genetic ancestry into three individualized risk models for lung cancer incidence, mortality, and all-cause mortality
a. Examine the joint effect of genetic ancestry and self-reported ancestry on each of the three risk models

2. Examine the effect of African vs. European ancestry among self-reported black Americans.
a. Examine if the effect of European ancestry is equal among self-reported white Americans and self-reported black Americans

3. Examine improvement in predictiveness and risk-stratification for three risk models
a. Examine how eligibility for lung cancer screening in PLCO participants would change by including genetic ancestry in risk models recommended for determining eligibility.

Collaborators

Courtney Dill, Ph.D, NCI/DCEG
Rebecca Landy, Ph.D., NCI/DCEG
Corey Young, M.S., NCI/DCEG
Li Cheung, Ph.D., NCI/DCEG
Anil Chaturvedi, Ph.D., NCI/DCEG
Sonja Berndt, Ph.D., NCI/DCEG
Wen-Yi Huang, Ph.D., M.S.P.H, NCI/DCEG
Neal Freedman, Ph.D., M.P.H., NCI/DCEG