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Shared heritability and functional enrichment across six solid cancers.
Bibliographic record
VenueApollo (University of Cambridge) · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsnot available
FundersDivision of Cancer Epidemiology and Genetics, National Cancer InstituteMedical Research and Materiel CommandNational Human Genome Research InstituteNational Institute on Drug AbuseNational Heart, Lung, and Blood InstituteOntario Ministry of Research and InnovationNational Cancer InstituteEuropean Regional Development FundInstituto de Salud Carlos IIICancer Council NSWCancer Council VictoriaCanadian Cancer Society Research InstituteNorris Cotton Cancer CenterU.S. ArmyHellenic Health FoundationFreistaat SachsenBiomedical Research CouncilFederal Agency for Scientific OrganizationsPomorski Uniwersytet Medyczny W SzczecinieMutuelle Générale de l'Education NationaleInstitut Gustave-RoussyMinistero dello Sviluppo EconomicoUniversidad de OviedoCenter for Agroforestry, University of MissouriOulun YliopistoKWF KankerbestrijdingConseil Régional des Pays de la LoireVetenskapsrådetNational Medical Research CouncilNorges ForskningsrådStockholms Läns LandstingAssociation Anne de Bretagne GenetiqueHelse VestLigue Contre le CancerAssociazione Italiana per la Ricerca sul CancroKarolinska InstitutetVanderbilt UniversityKorea Health Industry Development InstituteHungarian Scientific Research FundJapan Agency for Medical Research and DevelopmentDeutsche Gesetzliche UnfallversicherungHerlev HospitalSwedish Cancer FoundationMinistry of Health, Labour and WelfareUniversity of Southern CaliforniaCancerfondenAmerican Cancer SocietyRadboud UniversiteitCancer AustraliaRussian Foundation for Basic ResearchKuopion Yliopistollinen SairaalaNational Health and Medical Research CouncilDeutsche KrebshilfeMinistry of Education, Science and TechnologyAcademia SinicaCalifornia Department of Public HealthNational Research Foundation of KoreaNational Natural Science Foundation of ChinaDepartament d'Universitats, Recerca i Societat de la InformacióInstitut National de la Santé et de la Recherche MédicaleProgramme Grants for Applied ResearchOvarian Cancer AustraliaRobert Bosch StiftungFisher Center for Alzheimer's Research FoundationProstate Cancer Foundation of AustraliaFundação de Amparo à Pesquisa do Estado de São PauloCanadian Institutes of Health ResearchEuropean CommissionMedizinischen Hochschule HannoverCancer Institute NSWUniversity College LondonKing's College LondonLon V. Smith FoundationHealth CanadaInstytut Medycyny Pracy im. prof. J. NoferaYayasan Sime DarbyNational Institute of Dental and Craniofacial ResearchUniversity of CambridgeNemzeti Kutatási Fejlesztési és Innovációs HivatalVirginia Department of HealthGovernment of CanadaGenome CanadaFred C. and Katherine B. Andersen FoundationGeorgia Clinical and Translational Science AllianceRoyal Marsden NHS Foundation TrustWorld Cancer Research FundBC Cancer FoundationCancer Care OntarioCancer Research SocietyInstitute of Biomedical Sciences, Academia SinicaDavid F. and Margaret T. Grohne Family FoundationCancer Prevention and Research Institute of TexasCancer Council South AustraliaMemorial Sloan-Kettering Cancer CenterCentre International de Recherche sur le CancerKreftforeningenWellcome TrustJohns Hopkins UniversitySundhed og Sygdom, Det Frie ForskningsrådVanderbilt University Medical CenterDeutsches KrebsforschungszentrumPeter MacCallum FoundationFundación para el Fomento en Asturias de la Investigación Científica Aplicada y la TecnologíaHelsingin ja Uudenmaan SairaanhoitopiiriKræftens BekæmpelseDr. Ralph and Marian Falk Medical Research TrustRoswell Park Cancer InstituteCompagnia di San PaoloNational Institutes of HealthGroupement des Entreprises Françaises dans la lutte contre le CancerFlorida Department of HealthDivision of Cancer Prevention, National Cancer InstituteNational Breast Cancer FoundationEuropean Social FundMedical Research CouncilMayo Foundation for Medical Education and ResearchProstate Cancer FoundationOak FoundationNational Center for Research ResourcesAvon Foundation for WomenStavros Niarchos FoundationUniversity of South FloridaNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchNational Research FoundationCenters for Disease Control and PreventionNational Institute for Health and Care ResearchNational Cancer Research InstituteU.S. Department of Health and Human ServicesMinisterio de Economía y CompetitividadNational Center for Advancing Translational SciencesBundesministerium für Bildung und ForschungMinistry of Education, Culture, Sports, Science and TechnologyJapan Society for the Promotion of ScienceOvarian Cancer Research FundBreast Cancer CampaignGeorgetown UniversityCancer Council TasmaniaItä-Suomen YliopistoAgency for Science, Technology and ResearchCancer Research InstituteOregon Health and Science UniversityCancer Research UKSheffield Hospitals CharityNordForskU.S. Department of DefenseUniversity of PittsburghBreast Cancer Research FoundationJunta de Castilla y LeónSusan G. Komen for the CureTaiwan BiobankRutgers Cancer Institute of New JerseyUniversity of Texas MD Anderson Cancer CenterPrincess Margaret Hospital FoundationMoffitt Cancer CenterMinnesota Ovarian Cancer AllianceRoy Castle Lung Cancer FoundationCalifornia Breast Cancer Research ProgramFondation du cancer du sein du Québec
KeywordsNucleofectionTSG101Gestational periodArticular cartilage damageHyporeflexiaLiquation
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.017
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 head0.009
GPT teacher head0.230
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), 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
Citations0
Published2019
Admission routes1
Has abstractno