Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic risk.

Allman, Richard; Mu, Yi; Dite, Gillian S; Spaeth, Erika; Hopper, John L; Rosner, Bernard A

Allman, Richard; Mu, Yi; Dite, Gillian S; Spaeth, Erika; Hopper, John L; Rosner, Bernard A.

Afiliação

Allman R; Genetic Technologies Limited, 60-66 Hanover St, Fitzroy, VIC, 3065, Australia. Richard.allman@gtglabs.com.
Mu Y; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Dite GS; Genetic Technologies Limited, 60-66 Hanover St, Fitzroy, VIC, 3065, Australia.
Spaeth E; Phenogen Sciences Inc, Charlotte, NC, USA.
Hopper JL; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia.
Rosner BA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

Breast Cancer Res Treat ; 198(2): 335-347, 2023 Apr.

Article em En | MEDLINE | ID: mdl-36749458

Assuntos

Densidade da Mama; Neoplasias da Mama; Humanos; Feminino; Medição de Risco; Neoplasias da Mama/diagnóstico por imagem; Neoplasias da Mama/epidemiologia; Neoplasias da Mama/genética; Fatores de Risco; Curva ROC; Modelos Estatísticos

Palavras-chave

Mammographic density; Polygenic risk; Risk prediction model

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Densidade da Mama Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Breast Cancer Res Treat Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google