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@ARTICLE{EscalaGarcia:153171,
      author       = {M. Escala-Garcia and J. Abraham and I. L. Andrulis and H.
                      Anton-Culver and V. Arndt$^*$ and A. Ashworth and P. L. Auer
                      and P. Auvinen and M. W. Beckmann and J. Beesley and S.
                      Behrens$^*$ and J. Benitez and M. Bermisheva and C.
                      Blomqvist and W. Blot and N. V. Bogdanova and S. E. Bojesen
                      and M. K. Bolla and A.-L. Børresen-Dale and H. Brauch$^*$
                      and H. Brenner$^*$ and S. Y. Brucker and B. Burwinkel$^*$
                      and C. Caldas and F. Canzian$^*$ and J. Chang-Claude$^*$ and
                      S. J. Chanock and S.-F. Chin and C. L. Clarke and F. J.
                      Couch and A. Cox and S. S. Cross and K. Czene and M. B. Daly
                      and J. Dennis and P. Devilee and J. A. Dunn and A. M.
                      Dunning and M. Dwek and H. M. Earl and D. M. Eccles and A.
                      H. Eliassen and C. Ellberg and D. G. Evans and P. A.
                      Fasching and J. Figueroa and H. Flyger and M. Gago-Dominguez
                      and S. M. Gapstur and M. García-Closas and J. A.
                      García-Sáenz and M. M. Gaudet and A. George and G. G.
                      Giles and D. E. Goldgar and A. González-Neira and M. Grip
                      and P. Guénel and Q. Guo and C. A. Haiman and N. Håkansson
                      and U. Hamann$^*$ and P. A. Harrington and L. Hiller and M.
                      J. Hooning and J. L. Hopper and A. Howell and C.-S. Huang
                      and G. Huang and D. J. Hunter and A. Jakubowska and E. M.
                      John and R. Kaaks$^*$ and P. M. Kapoor and R. Keeman and C.
                      M. Kitahara and L. B. Koppert and P. Kraft and V. N.
                      Kristensen and D. Lambrechts and L. Le Marchand and F.
                      Lejbkowicz and A. Lindblom and J. Lubiński and A. Mannermaa
                      and M. Manoochehri$^*$ and S. Manoukian and S. Margolin and
                      M. E. Martinez and T. Maurer and D. Mavroudis and A. Meindl
                      and R. L. Milne and A. M. Mulligan and S. L. Neuhausen and
                      H. Nevanlinna and W. G. Newman and A. F. Olshan and J. E.
                      Olson and H. Olsson and N. Orr and P. Peterlongo and C.
                      Petridis and R. L. Prentice and N. Presneau and K. Punie and
                      D. Ramachandran and G. Rennert and A. Romero and M.
                      Sachchithananthan and E. Saloustros and E. J. Sawyer and R.
                      K. Schmutzler and L. Schwentner and C. Scott and J. Simard
                      and C. Sohn and M. C. Southey and A. J. Swerdlow and R. M.
                      Tamimi and W. J. Tapper and M. R. Teixeira and M. B. Terry
                      and H. Thorne and R. A. E. M. Tollenaar and I. Tomlinson and
                      M. A. Troester and T. Truong and C. Turnbull and C. M.
                      Vachon and L. E. van der Kolk and Q. Wang and R. Winqvist
                      and A. Wolk and X. R. Yang and A. Ziogas and P. D. P.
                      Pharoah and P. Hall and L. F. A. Wessels and G.
                      Chenevix-Trench and G. D. Bader and T. Dörk and D. F.
                      Easton and S. Canisius and M. K. Schmidt},
      title        = {{A} network analysis to identify mediators of
                      germline-driven differences in breast cancer prognosis.},
      journal      = {Nature Communications},
      volume       = {11},
      number       = {1},
      issn         = {2041-1723},
      address      = {[London]},
      publisher    = {Nature Publishing Group UK},
      reportid     = {DKFZ-2020-00224},
      pages        = {312},
      year         = {2020},
      abstract     = {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 analysis studies ~7.3 million variants in
                      84,457 breast cancer patients in relation to breast cancer
                      survival and confirms the results on 12,381 independent
                      patients. Aggregating the prognostic effects of genetic
                      variants across multiple genes, we identify four gene
                      modules associated with survival in estrogen receptor
                      (ER)-negative and one in ER-positive disease. The modules
                      show biological enrichment for cancer-related processes such
                      as G-alpha signaling, circadian clock, angiogenesis, and
                      Rho-GTPases in apoptosis.},
      cin          = {C071 / C020 / C070 / C120 / HD01 / C080 / C055 / B072 /
                      B070},
      ddc          = {500},
      cid          = {I:(DE-He78)C071-20160331 / I:(DE-He78)C020-20160331 /
                      I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331 /
                      I:(DE-He78)HD01-20160331 / I:(DE-He78)C080-20160331 /
                      I:(DE-He78)C055-20160331 / I:(DE-He78)B072-20160331 /
                      I:(DE-He78)B070-20160331},
      pnm          = {319H - Addenda (POF3-319H)},
      pid          = {G:(DE-HGF)POF3-319H},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31949161},
      doi          = {10.1038/s41467-019-14100-6},
      url          = {https://inrepo02.dkfz.de/record/153171},
}