Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
VenueApollo (University of Cambridge) · 2021
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsUniversité LavalUniversity of British ColumbiaSimon Fraser UniversityMcGill UniversityQueen's UniversityMount Sinai HospitalLunenfeld-Tanenbaum Research InstituteRoyal Victoria HospitalCentre hospitalier universitaire de QuébecSt. Francis Xavier UniversityBC Cancer AgencyUniversity of Toronto
FundersMailman School of Public Health, Columbia UniversityNational Cancer InstituteServicio Gallego de SaludUniversitätsklinikum Hamburg-EppendorfCanadian Institutes of Health ResearchUniversity of California, IrvineUniversity of North Carolina at Chapel HillWeill Cornell Medical CollegeVanderbilt-Ingram Cancer CenterNational Institutes of HealthQueen's University BelfastCentro de Investigación Biomédica en Red de CáncerUniversitätsklinikum KölnUniversität zu KölnPontificia Universidad JaverianaDeutsches KrebsforschungszentrumClalit Health ServicesOdense UniversitetshospitalHarvard T.H. Chan School of Public HealthKarolinska InstitutetNational Health and Medical Research CouncilOulun YliopistoLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillDeutsche KrebshilfeUniversity of TorontoJohns Hopkins Bloomberg School of Public HealthUniversity of EdinburghQueen's UniversityNational Human Genome Research InstituteCancer Council VictoriaSchool of Medicine, Vanderbilt UniversityUniversity of MelbourneSchool of Medicine, Stanford UniversityInstitut National de la Santé et de la Recherche MédicaleUniversität HeidelbergBiocenter, University of OuluNational Institute for Health and Care ResearchGovernment of CanadaUniversity of Southern CaliforniaCancer Research UKGénome QuébecInstituto de Investigación Sanitaria de Santiago de CompostelaPomorski Uniwersytet Medyczny W SzczecinieAssociazione Italiana per la Ricerca sul CancroGenome CanadaErasmus Universitair Medisch Centrum RotterdamEuropean CommissionUniversité LavalHelsingin YliopistoMedical Research CouncilUppsala UniversitetUniversity of California, San DiegoJohns Hopkins UniversityMemorial Sloan-Kettering Cancer CenterFondation du cancer du sein du QuébecCentre Hospitalier Universitaire de QuébecManchester Biomedical Research CentreMonash UniversityUniversity of Wisconsin-MilwaukeeOvarian Cancer Research FundMcGill UniversityBreast Cancer Research FoundationLunds UniversitetKing's College LondonVanderbilt UniversityStanford Cancer InstituteCancer Research Institute
KeywordsBreast cancerGenome-wide association studyEstrogen receptorBiologyOncologyCancerGenetic associationLogistic regressionInternal medicineGeneticsSingle-nucleotide polymorphismMedicineGeneGenotype
Abstract
fetched live from OpenAlexBACKGROUND: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. METHODS: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. RESULTS: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
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.
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
