A network analysis to identify mediators of germline-driven differences in breast cancer prognosis.

A network analysis to identify mediators of germline-driven differences in breast cancer prognosis.

Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based...

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Bibliographic Details
Main Authors: Escala-Garcia, M, Abraham, J, Andrulis, IL, Anton-Culver, H, Arndt, V, Ashworth, A, Auer, PL, Auvinen, P, Beckmann, MW, Beesley, J, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Blot, W, Bogdanova, NV, Bojesen, SE, Bolla, MK, Børresen-Dale, A-L, Brauch, H, Brenner, H, Brucker, SY, Burwinkel, B, Caldas, C, Canzian, F, Chang-Claude, J, Chanock, SJ, Chin, S-F, Clarke, CL, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Dennis, J, Devilee, P, Dunn, JA, Dunning, AM, Dwek, M, Earl, HM, Eccles, DM, Eliassen, AH, Ellberg, C, Evans, DG, Fasching, PA, Figueroa, J, Flyger, H, Gago-Dominguez, M, Gapstur, SM, García-Closas, M
Format: Journal article
Language:English
Published: Nature Research 2020

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