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Penetrance of Breast Cancer Susceptibility Genes From the eMERGE III Network.
Fan, Xiao; Wynn, Julia; Shang, Ning; Liu, Cong; Fedotov, Alexander; Hallquist, Miranda L G; Buchanan, Adam H; Williams, Marc S; Smith, Maureen E; Hoell, Christin; Rasmussen-Torvik, Laura J; Peterson, Josh F; Wiesner, Georgia L; Murad, Andrea M; Jarvik, Gail P; Gordon, Adam S; Rosenthal, Elisabeth A; Stanaway, Ian B; Crosslin, David R; Larson, Eric B; Leppig, Kathleen A; Henrikson, Nora B; Williams, Janet L; Li, Rongling; Hebbring, Scott; Weng, Chunhua; Shen, Yufeng; Crew, Katherine D; Chung, Wendy K.
Afiliação
  • Fan X; Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA.
  • Wynn J; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.
  • Shang N; Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA.
  • Liu C; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
  • Fedotov A; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
  • Hallquist MLG; Irving Institute for Clinical and Translational Research, Columbia University Irving Medical Center, New York, NY, USA.
  • Buchanan AH; Genomic Medicine Institute, Geisinger, Danville, PA, USA.
  • Williams MS; Genomic Medicine Institute, Geisinger, Danville, PA, USA.
  • Smith ME; Genomic Medicine Institute, Geisinger, Danville, PA, USA.
  • Hoell C; Department of Medicine, Northwestern University, Chicago Feinberg School of Medicine, Chicago, IL, USA.
  • Rasmussen-Torvik LJ; Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Peterson JF; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Wiesner GL; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Murad AM; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Jarvik GP; Division of Genetic Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Gordon AS; Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, USA.
  • Rosenthal EA; Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Stanaway IB; Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, USA.
  • Crosslin DR; Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA, USA.
  • Larson EB; Department of Biomedical Informatics and Medical Education, University of Washington Medical Center, Seattle, WA, USA.
  • Leppig KA; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
  • Henrikson NB; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
  • Williams JL; Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
  • Li R; Genomic Medicine Institute, Geisinger, Danville, PA, USA.
  • Hebbring S; Division of Genomic Medicine, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA.
  • Weng C; Center for Precision Medicine Research, Marshfield Clinic, Marshfield, WI, USA.
  • Shen Y; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
  • Crew KD; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.
  • Chung WK; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.
JNCI Cancer Spectr ; 5(4)2021 08.
Article em En | MEDLINE | ID: mdl-34377931
Background: Unbiased estimates of penetrance are challenging but critically important to make informed choices about strategies for risk management through increased surveillance and risk-reducing interventions. Methods: We studied the penetrance and clinical outcomes of 7 breast cancer susceptibility genes (BRCA1, BRCA2, TP53, CHEK2, ATM, PALB2, and PTEN) in almost 13 458 participants unselected for personal or family history of breast cancer. We identified 242 female participants with pathogenic or likely pathogenic variants in 1 of the 7 genes for penetrance analyses, and 147 women did not previously know their genetic results. Results: Out of the 147 women, 32 women were diagnosed with breast cancer at an average age of 52.8 years. Estimated penetrance by age 60 years ranged from 17.8% to 43.8%, depending on the gene. In clinical-impact analysis, 42.3% (95% confidence interval = 31.3% to 53.3%) of women had taken actions related to their genetic results, and 2 new breast cancer cases were identified within the first 12 months after genetic results disclosure. Conclusions: Our study provides population-based penetrance estimates for the understudied genes CHEK2, ATM, and PALB2 and highlights the importance of using unselected populations for penetrance studies. It also demonstrates the potential clinical impact of genetic testing to improve health care through early diagnosis and preventative screening.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Penetrância / Predisposição Genética para Doença Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Revista: JNCI Cancer Spectr Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Penetrância / Predisposição Genética para Doença Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Adult / Female / Humans / Middle aged Idioma: En Revista: JNCI Cancer Spectr Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido