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Genetic variants improve breast cancer risk prediction on mammograms.

Publication ,  Journal Article
Liu, J; Page, D; Nassif, H; Shavlik, J; Peissig, P; McCarty, C; Onitilo, AA; Burnside, E
Published in: AMIA Annu Symp Proc
2013

Several recent genome-wide association studies have identified genetic variants associated with breast cancer. However, how much these genetic variants may help advance breast cancer risk prediction based on other clinical features, like mammographic findings, is unknown. We conducted a retrospective case-control study, collecting mammographic findings and high-frequency/low-penetrance genetic variants from an existing personalized medicine data repository. A Bayesian network was developed using Tree Augmented Naive Bayes (TAN) by training on the mammographic findings, with and without the 22 genetic variants collected. We analyzed the predictive performance using the area under the ROC curve, and found that the genetic variants significantly improved breast cancer risk prediction on mammograms. We also identified the interaction effect between the genetic variants and collected mammographic findings in an attempt to link genotype to mammographic phenotype to better understand disease patterns, mechanisms, and/or natural history.

Duke Scholars

Published In

AMIA Annu Symp Proc

EISSN

1942-597X

Publication Date

2013

Volume

2013

Start / End Page

876 / 885

Location

United States

Related Subject Headings

  • Risk Assessment
  • ROC Curve
  • Polymorphism, Single Nucleotide
  • Neural Networks, Computer
  • Mammography
  • Humans
  • Genotype
  • Genetic Predisposition to Disease
  • Female
  • Case-Control Studies
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Liu, J., Page, D., Nassif, H., Shavlik, J., Peissig, P., McCarty, C., … Burnside, E. (2013). Genetic variants improve breast cancer risk prediction on mammograms. AMIA Annu Symp Proc, 2013, 876–885.
Liu, Jie, David Page, Houssam Nassif, Jude Shavlik, Peggy Peissig, Catherine McCarty, Adedayo A. Onitilo, and Elizabeth Burnside. “Genetic variants improve breast cancer risk prediction on mammograms.AMIA Annu Symp Proc 2013 (2013): 876–85.
Liu J, Page D, Nassif H, Shavlik J, Peissig P, McCarty C, et al. Genetic variants improve breast cancer risk prediction on mammograms. AMIA Annu Symp Proc. 2013;2013:876–85.
Liu, Jie, et al. “Genetic variants improve breast cancer risk prediction on mammograms.AMIA Annu Symp Proc, vol. 2013, 2013, pp. 876–85.
Liu J, Page D, Nassif H, Shavlik J, Peissig P, McCarty C, Onitilo AA, Burnside E. Genetic variants improve breast cancer risk prediction on mammograms. AMIA Annu Symp Proc. 2013;2013:876–885.

Published In

AMIA Annu Symp Proc

EISSN

1942-597X

Publication Date

2013

Volume

2013

Start / End Page

876 / 885

Location

United States

Related Subject Headings

  • Risk Assessment
  • ROC Curve
  • Polymorphism, Single Nucleotide
  • Neural Networks, Computer
  • Mammography
  • Humans
  • Genotype
  • Genetic Predisposition to Disease
  • Female
  • Case-Control Studies