Interaction Between Continuous Pack-Years Smoked and Polygenic Risk Score on Lung Cancer Risk: Prospective Results from the Framingham Heart Study

  • Meredith S. Duncan
  • , Hector Diaz-Zabala
  • , James Jaworski
  • , Hilary A. Tindle
  • , Robert A. Greevy
  • , Loren Lipworth
  • , Rayjean J. Hung
  • , Matthew S. Freiberg
  • , Melinda C. Aldrich

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Background: Lung cancer risk attributable to smoking is dose dependent, yet few studies examining a polygenic risk score (PRS) by smoking interaction have included comprehensive lifetime packyears smoked. Methods: We analyzed data from participants of European ancestry in the Framingham Heart StudyOriginal (n = 454) andOffspring (n = 2,470) cohorts enrolled in 1954 and 1971, respectively, and followed through 2018. We built a PRS for lung cancer using participant genotyping data and genome-wide association study summary statistics froma recent study in theOncoArray Consortium. We used Cox proportional hazards regression models to assess risk and the interaction between pack-years smoked and genetic risk for lung cancer adjusting for European ancestry, age, sex, and education. Results: We observed a significant submultiplicative interaction between pack-years and PRS on lung cancer risk (P = 0.09). Thus, the relative risk associated with each additional 10 pack-years smoked decreased with increasing genetic risk (HR = 1.56 at one SD below mean PRS, HR=1.48 at mean PRS, and HR=1.40 at one SD above mean PRS). Similarly, lung cancer risk per SD increase in the PRS was highest among those who had never smoked (HR = 1.55) and decreased with heavier smoking (HR = 1.32 at 30 pack-years). Conclusions: These results suggest the presence of a submultiplicative interaction between pack-years and genetics on lung cancer risk, consistent with recent findings. Both smoking and genetics were significantly associated with lung cancer risk. Impact: These results underscore the contributions of genetics and smoking on lung cancer risk and highlight the negative impact of continued smoking regardless of genetic risk.

Original languageEnglish
Pages (from-to)OF1-OF9
JournalCancer Epidemiology Biomarkers and Prevention
Volume33
Issue number4
DOIs
StatePublished - Apr 1 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors; Published by the American Association for Cancer Research.

Funding

M.S. Duncan was supported by the National Center for Advancing Translational Sciences at NIH (KL2TR001996). M.C. Aldrich was supported by the NCI at NIH (R01CA251758 andU01CA253560). H. Diaz-Zabala acknowledges the support of the NCI at NIH through the VUMC Molecular and Genetic Epidemiology of Cancer training program (T32CA160056). H.A. Tindle acknowledges the support of the William Anderson Spickard, Jr, MD Chair in Medicine. M.S. Freiberg acknowledges the support of the Dorothy and Laurence Grossman Chair in Cardiology. The Framingham Heart Study is supported by contract no. 75N92019D00031 from the National Heart, Lung, and Blood Institute (NHLBI), NIH, and Department of Health and Human Services with additional support from other sources. The publication costs of this article were defrayed in part by the payment of publication fees. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 USC section 1734. M.S. Duncan was supported by the National Center for Advancing Translational Sciences at NIH (KL2TR001996). M.C. Aldrich was supported by the NCI at NIH (R01CA251758 and U01CA253560). H. Diaz-Zabala acknowledges the support of the NCI at NIH through the VUMC Molecular and Genetic Epidemiology of Cancer training program (T32CA160056). H.A. Tindle acknowledges the support of the William Anderson Spickard, Jr, MD Chair in Medicine. M.S. Freiberg acknowledges the support of the Dorothy and Laurence Grossman Chair in Cardiology. The Framingham Heart Study is supported by contract no. 75N92019D00031 from the National Heart, Lung, and Blood Institute (NHLBI), NIH, and Department of Health and Human Services with additional support from other sources.

FundersFunder number
National Heart, Lung, and Blood Institute (NHLBI)
U.S. Department of Health and Human Services
National Center for Advancing Translational Sciences (NCATS)
National Childhood Cancer Registry – National Cancer InstituteU01CA253560, 75N92019D00031, R01CA251758, T32CA160056
National Institutes of Health (NIH)KL2TR001996

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    ASJC Scopus subject areas

    • General Medicine

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