Optimization of prediction methods for risk assessment of pathogenic germline variants in the Japanese population

Predicting pathogenic germline variants (PGVs) in breast cancer patients is important for selecting optimal therapeutics and implementing risk reduction strategies. However, PGV risk factors and the performance of prediction methods in the Japanese population remain unclear. We investigated clinicop...

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Detalles Bibliográficos
Autores principales: Senda, Noriko, Kawaguchi‐Sakita, Nobuko, Kawashima, Masahiro, Inagaki‐Kawata, Yukiko, Yoshida, Kenichi, Takada, Masahiro, Kataoka, Masako, Torii, Masae, Nishimura, Tomomi, Kawaguchi, Kosuke, Suzuki, Eiji, Kataoka, Yuki, Matsumoto, Yoshiaki, Yoshibayashi, Hiroshi, Yamagami, Kazuhiko, Tsuyuki, Shigeru, Takahara, Sachiko, Yamauchi, Akira, Shinkura, Nobuhiko, Kato, Hironori, Moriguchi, Yoshio, Okamura, Ryuji, Kan, Norimichi, Suwa, Hirofumi, Sakata, Shingo, Mashima, Susumu, Yotsumoto, Fumiaki, Tachibana, Tsuyoshi, Tanaka, Mitsuru, Togashi, Kaori, Haga, Hironori, Yamada, Takahiro, Kosugi, Shinji, Inamoto, Takashi, Sugimoto, Masahiro, Ogawa, Seishi, Toi, Masakazu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353892/
https://www.ncbi.nlm.nih.gov/pubmed/34036661
http://dx.doi.org/10.1111/cas.14986

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353892/
https://www.ncbi.nlm.nih.gov/pubmed/34036661
http://dx.doi.org/10.1111/cas.14986

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