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Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case-control study.

Xuehong ZhangMegan RiceShelley T TworogerBernard A RosnerA Heather EliassenRulla M TamimiAmit D JoshiSara LindströmJing QianDebbie L BennettWalter C WillettPeter KraftSusan E Hankinson
Published in: PLoS medicine (2018)
In this study, the addition of PRS, MD, and endogenous hormones substantially improved existing breast cancer risk prediction models. Further studies will be needed to confirm these findings and to determine whether improved risk prediction models have practical value in identifying women at higher risk who would most benefit from chemoprevention, screening, and other risk-reducing strategies.
Keyphrases
  • breast cancer risk
  • polycystic ovary syndrome
  • case control
  • molecular dynamics
  • young adults
  • pregnancy outcomes
  • skeletal muscle
  • cervical cancer screening