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.
VenueJNCI Journal of the National Cancer Institute · 2018
Typearticle
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsMcGill UniversityUniversité LavalCentre hospitalier universitaire de QuébecHôpital du Saint-SacrementMount Sinai HospitalLunenfeld-Tanenbaum Research InstituteUniversity of Toronto
FundersJonsson Comprehensive Cancer CenterNational Center for Advancing Translational SciencesInstituto de Salud Carlos IIIMedical Research CouncilCancer Center, University of KansasUniversity of California, Los AngelesNational Institutes of HealthKerry Group Kuok FoundationCentro de Investigación Biomédica en Red de CáncerUniversitätsklinikum Kölnlékařská fakulta Univerzity KarlovyNewcastle upon Tyne Hospitals NHS Foundation TrustInstitut Català de la SalutInstitut Gustave-RoussyMinistero dello Sviluppo EconomicoRoyal Marsden NHS Foundation TrustSahlgrenska UniversitetssjukhusetFondazione Italiana per la Ricerca sul CancroArcadia FundUppsala UniversitetHospices Civils de LyonNational Health and Medical Research CouncilDeutsche KrebshilfePritzker School of MedicineMedizinische Universität WienUniversitair Medisch Centrum GroningenUniversity of Texas MD Anderson Cancer CenterMemorial Sloan-Kettering Cancer CenterIstituto Oncologico VenetoInstitut National Du CancerLeids Universitair Medisch CentrumDivision of Cancer Epidemiology and Genetics, National Cancer InstituteCentre National de la Recherche ScientifiqueFox Chase Cancer CenterKWF KankerbestrijdingCanadian Institutes of Health ResearchEuropean CommissionCedars-Sinai Medical CenterLietuvos Mokslo TarybaHáskóli ÍslandsLombardi Comprehensive Cancer Center, Georgetown UniversityLandspítali HáskólasjúkrahúsIsrael Cancer AssociationChildren's Hospital of PhiladelphiaUniversity of Hong KongHarvard T.H. Chan School of Public HealthHungarian Scientific Research FundHuntsman Cancer InstituteFonds Wetenschappelijk OnderzoekUniversity of PretoriaRadboud Universitair Medisch CentrumUniversität WienErasmus Medisch CentrumNederlandse Organisatie voor Wetenschappelijk OnderzoekGentofte HospitalUniversity of TorontoUniverzita Karlova v PrazeMcGill UniversityGeneralitat de CatalunyaSoonchunhyang UniversityNational Breast Cancer FoundationNational Cancer InstituteEuropean Regional Development FundPeking UniversitySeoul National UniversityMinistère du Développement Économique, de l’Innovation et de l’ExportationRigshospitaletUniversity of MelbourneRijksuniversiteit GroningenMaastricht Universitair Medisch CentrumMoffitt Cancer CenterOhio State UniversityUniversiteit LeidenMinisterstvo Školství, Mládeže a TělovýchovyLiga Portuguesa Contra o CancroHelsingin YliopistoHospital de Câncer de BarretosPomorski Uniwersytet Medyczny W SzczecinieVrije Universiteit AmsterdamSeoul National University Bundang HospitalMinistero della SaluteInstitut National de la Santé et de la Recherche MédicaleCancer AustraliaRadboud UniversiteitFundación Mutua MadrileñaUniversität UlmCancer Research UKAssociazione Italiana per la Ricerca sul CancroBeckman Research Institute, City of HopeWellcome TrustBreast Cancer Research FoundationUnicancerClalit Health ServicesDeutsches KrebsforschungszentrumJewish General HospitalNational Institute for Health and Care ResearchUniversity of KansasFreistaat SachsenKansas Bioscience AuthorityUniversity of ChicagoNorthShore University HealthSystemCancer Research InstituteUniversity Hospitals of Leicester NHS TrustNRG OncologyTel Aviv UniversityUniversiteit MaastrichtFundación CellexFisher Center for Alzheimer's Research FoundationSchool of MedicineQIMR Berghofer Medical Research InstituteNational Institute on Handicapped ResearchGeorgetown University
KeywordsMendelian randomizationBreast cancerBody mass indexOncologyMendelian inheritanceMutationMedicineIndex (typography)RandomizationInternal medicineCancerGeneticsBiologyClinical trialGeneGenotypeComputer scienceGenetic variants
Abstract
fetched live from OpenAlexBACKGROUND: BRCA1/2 mutations confer high lifetime risk of breast cancer, although other factors may modify this risk. Whether height or body mass index (BMI) modifies breast cancer risk in BRCA1/2 mutation carriers remains unclear. METHODS: We used Mendelian randomization approaches to evaluate the association of height and BMI on breast cancer risk, using data from the Consortium of Investigators of Modifiers of BRCA1/2 with 14 676 BRCA1 and 7912 BRCA2 mutation carriers, including 11 451 cases of breast cancer. We created a height genetic score using 586 height-associated variants and a BMI genetic score using 93 BMI-associated variants. We examined both observed and genetically determined height and BMI with breast cancer risk using weighted Cox models. All statistical tests were two-sided. RESULTS: Observed height was positively associated with breast cancer risk (HR = 1.09 per 10 cm increase, 95% confidence interval [CI] = 1.0 to 1.17; P = 1.17). Height genetic score was positively associated with breast cancer, although this was not statistically significant (per 10 cm increase in genetically predicted height, HR = 1.04, 95% CI = 0.93 to 1.17; P = .47). Observed BMI was inversely associated with breast cancer risk (per 5 kg/m2 increase, HR = 0.94, 95% CI = 0.90 to 0.98; P = .007). BMI genetic score was also inversely associated with breast cancer risk (per 5 kg/m2 increase in genetically predicted BMI, HR = 0.87, 95% CI = 0.76 to 0.98; P = .02). BMI was primarily associated with premenopausal breast cancer. CONCLUSION: Height is associated with overall breast cancer and BMI is associated with premenopausal breast cancer in BRCA1/2 mutation carriers. Incorporating height and BMI, particularly genetic score, into risk assessment may improve cancer management.
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)0.001
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 score0.021
Threshold uncertainty score0.724
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 spread0.310 · 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
