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Association of genetic susceptibility variants for type 2 diabetes with breast cancer risk in women of European ancestry
Zhiguo Zhao, Wanqing Wen, Kyriaki Michailidou, Manjeet K. Bolla, Ben Zhang, Jirong Long, Xiao‐Ou Shu, Marjanka K. Schmidt, Roger L. Milne, Montserrat García‐Closas, Jenny Chang‐Claude, Sara Lindström, Stig E. Bojesen, Habibul Ahsan, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton‐Culver, Volker Arndt, Matthias W. Beckmann, Alicia Beeghly‐Fadiel, Javier Benı́tez, Carl Blomqvist, Natalia Bogdanova, Anne‐Lise Børresen‐Dale, Judith S. Brand, Hiltrud Brauch, Hermann Brenner, Barbara Burwinkel, Qiuyin Cai, Graham Casey, Georgia Chenevix‐Trench, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Thilo Dörk, Martine Dumont, Peter A. Fasching, Jonine D. Figueroa, Dieter Flesch‐Janys, Olivia Fletcher, Henrik Flyger, Florentia Fostira, Marilie D. Gammon, Graham G. Giles, Pascal Guénel, Christopher A. Haiman, Ute Hamann, Patricia Harrington, Mikael Hartman, Maartje J. Hooning, John L. Hopper, Anna Jakubowska, Farzana Jasmine, Esther M. John, Nichola Johnson, Maria Kabisch, Sofia Khan, Muhammad G. Kibriya, Julia A. Knight, Veli‐Matti Kosma, Mieke Kriege, Vessela Kristensen, Loı̈c Le Marchand, Eunjung Lee, Jingmei Li, Annika Lindblom, Artitaya Lophatananon, Robert Luben, Jan Lubiński, Kathleen E. Malone, Siranoush Manoukian, Sara Margolin, Frederik Marmé, Catriona McLean, Hanne Meijers‐Heijboer, Alfons Meindl, Hui Miao, Kenneth Muir, Susan L. Neuhausen, Heli Nevanlinna, Patrick Neven, Janet E. Olson, Barbara Perkins, Paolo Peterlongo, Kelly‐Anne Phillips, Katri Pylkäs, Anja Rudolph, Regina M. Santella, Elinor J. Sawyer, Rita K. Schmutzler, Minouk J. Schoemaker, Mitul Shah, Martha J. Shrubsole, Melissa C. Southey, Anthony J. Swerdlow, Amanda E. Toland, Ian Tomlinson, Diana Torres, Thérèse Truong, Giske Ursin, Rob B. van der Luijt, Senno Verhoef, Shan Wang‐Gohrke, Alice S. Whittemore, Robert Winqvist, M. Pilar Zamora, Hui Zhao, Alison M. Dunning, Jacques Simard, Per Hall, Peter Kraft, Paul D.P. Pharoah, David J. Hunter, Douglas F. Easton, Wei Zheng
Bibliographic record
VenueCancer Causes & Control · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsPublic Health OntarioUniversité LavalCentre hospitalier universitaire de QuébecMount Sinai HospitalLunenfeld-Tanenbaum Research InstituteUniversity of Toronto
FundersMedical Research and Materiel CommandNational Cancer InstituteMedical Research CouncilU.S. ArmyNational Institutes of HealthMinistero dello Sviluppo EconomicoAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du TravailInstitut National Du CancerNational Health and Medical Research CouncilOulun YliopistoDeutsche KrebshilfeNorges ForskningsrådStockholms Läns LandstingKuopion Yliopistollinen SairaalaCanadian Institutes of Health ResearchGeneral Secretariat for Research and TechnologyOvarian Cancer Research FundBundesministerium für Bildung und ForschungMinisterio de Economía y CompetitividadDeutsche Gesetzliche UnfallversicherungNederlandse Organisatie voor Wetenschappelijk OnderzoekFonds Wetenschappelijk OnderzoekCancerfondenKarolinska InstitutetUniversity of CambridgeZonMwAgence Nationale de la RechercheRobert Bosch StiftungNational Breast Cancer FoundationEuropean CommissionKing's College LondonNational Institute for Health and Care ResearchHerlev HospitalFondation du cancer du sein du QuébecWellcome TrustU.S. Department of DefenseCancer Research UKGénome QuébecAssociazione Italiana per la Ricerca sul CancroItä-Suomen YliopistoMinistère du Développement Économique, de l’Innovation et de l’ExportationLon V. Smith FoundationEuropean Social FundAgency for Science, Technology and ResearchCancer Council TasmaniaFrancis Crick InstituteMcGill University Health CentreDavid F. and Margaret T. Grohne Family FoundationDeutsches KrebsforschungszentrumBreast Cancer Research FoundationMcGill UniversityNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchFondation de FranceCancer Council VictoriaCalifornia Department of Public HealthSundhed og Sygdom, Det Frie ForskningsrådHelsingin ja Uudenmaan SairaanhoitopiiriVirginia Department of HealthVanderbilt UniversityInstituto de Salud Carlos IIIOhio State UniversityU.S. Department of Health and Human Services
KeywordsBreast cancerMedicineOdds ratioOncologyInternal medicineType 2 diabetesTCF7L2Case-control studyGenetic predispositionCancerGynecologySingle-nucleotide polymorphismDiabetes mellitusGeneticsEndocrinologyGenotypeDiseaseBiology
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.377
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.011
GPT teacher head0.268
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations24
Published2016
Admission routes2
Has abstractno