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dc.contributor.author | Tamimi, RM | |
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dc.contributor.author | Terry, MB | |
dc.contributor.author | Thorne, H | |
dc.contributor.author | Tollenaar, RAEM | |
dc.contributor.author | Tomlinson, I | |
dc.contributor.author | Troester, MA | |
dc.contributor.author | Truong, T | |
dc.contributor.author | Turnbull, C | |
dc.contributor.author | Vachon, CM | |
dc.contributor.author | van der Kolk, LE | |
dc.contributor.author | Wang, Q | |
dc.contributor.author | Winqvist, R | |
dc.contributor.author | Wolk, A | |
dc.contributor.author | Yang, XR | |
dc.contributor.author | Ziogas, A | |
dc.contributor.author | Pharoah, PDP | |
dc.contributor.author | Hall, P | |
dc.contributor.author | Wessels, LFA | |
dc.contributor.author | Chenevix-Trench, G | |
dc.contributor.author | Bader, GD | |
dc.contributor.author | Dörk, T | |
dc.contributor.author | Easton, DF | |
dc.contributor.author | Canisius, S | |
dc.contributor.author | Schmidt, MK | |
dc.coverage.spatial | England | |
dc.date.accessioned | 2022-09-02T12:05:41Z | |
dc.date.available | 2022-09-02T12:05:41Z | |
dc.date.issued | 2020-01-16 | |
dc.identifier | ARTN 312 | |
dc.identifier | 10.1038/s41467-019-14100-6 | |
dc.identifier.citation | Nature Communications, 2020, 11 (1), pp. 312 - | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | https://repository.icr.ac.uk/handle/internal/5388 | |
dc.identifier.eissn | 2041-1723 | |
dc.identifier.eissn | 2041-1723 | |
dc.identifier.doi | 10.1038/s41467-019-14100-6 | |
dc.description.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. | |
dc.format | Electronic | |
dc.format.extent | 312 - | |
dc.language | eng | |
dc.language.iso | eng | |
dc.publisher | NATURE PORTFOLIO | |
dc.relation.ispartof | Nature Communications | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Apoptosis | |
dc.subject | Breast Neoplasms | |
dc.subject | Circadian Clocks | |
dc.subject | Computational Biology | |
dc.subject | Female | |
dc.subject | GTP-Binding Protein alpha Subunits | |
dc.subject | GTP-Binding Protein alpha Subunits, Gq-G11 | |
dc.subject | Gene Regulatory Networks | |
dc.subject | Genetic Variation | |
dc.subject | Genome-Wide Association Study | |
dc.subject | Genotype | |
dc.subject | Germ Cells | |
dc.subject | Humans | |
dc.subject | Prognosis | |
dc.subject | Receptors, Estrogen | |
dc.subject | Signal Transduction | |
dc.title | A network analysis to identify mediators of germline-driven differences in breast cancer prognosis. | |
dc.type | Journal Article | |
dcterms.dateAccepted | 2019-12-17 | |
dc.date.updated | 2022-09-02T11:37:06Z | |
rioxxterms.version | VoR | |
rioxxterms.versionofrecord | 10.1038/s41467-019-14100-6 | |
rioxxterms.licenseref.startdate | 2020-01-16 | |
rioxxterms.type | Journal Article/Review | |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/31949161 | |
pubs.issue | 1 | |
pubs.organisational-group | /ICR | |
pubs.organisational-group | /ICR/Primary Group | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Closed research teams | |
pubs.organisational-group | /ICR/Primary Group/ICR Divisions/Closed research teams/Complex Trait Genetics | |
pubs.publication-status | Published online | |
pubs.publisher-url | http://dx.doi.org/10.1038/s41467-019-14100-6 | |
pubs.volume | 11 | |
icr.researchteam | Complex Trait Genetics | |
icr.researchteam | Translational Genetics | |
dc.contributor.icrauthor | Turnbull, Clare | |
icr.provenance | Deposited by Mr Arek Surman on 2022-09-02. Deposit type is initial. No. of files: 1. Files: A network analysis to identify mediators of germline-driven differences in breast cancer prognosis.pdf | |