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Record W2996057910 · doi:10.1007/s00401-019-02110-z

Overlapping genetic architecture between Parkinson disease and melanoma

2019· article· en· W2996057910 on OpenAlexfundno aff
Umber Dube, Laura Ibáñez, John Budde, Bruno A. Benítez, Albert A. Davis, Oscar Harari, Mark M. Iles, Matthew H. Law, Kevin M. Brown, Carlos Cruchaga

Bibliographic record

VenueActa Neuropathologica · 2019
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
FundersDivision of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institute of Neurological Disorders and StrokeNational Cancer InstituteNational Heart, Lung, and Blood InstituteInstituto de Salud Carlos IIIMedical Research CouncilMelvin and Bren Simon Cancer Center, Indiana UniversityPerelman School of Medicine, University of PennsylvaniaNational Institutes of HealthMelanoma Institute AustraliaCentre hospitalier régional universitaire de LilleNational Institute on AgingMenzies Institute for Medical ResearchFlinders UniversityConservatoire National des Arts et MétiersDeutschen Konsortium für Translationale KrebsforschungHjartaverndPomorski Uniwersytet Medyczny W SzczecinieTianjin Medical UniversityAgence Nationale de la RechercheAssistance publique-Hôpitaux de ParisAlzheimer's AssociationUniversité Sorbonne Paris CitéKarolinska InstitutetUniversité Paris 13Universitat de BarcelonaUniversité Paris DescartesUniversity of Texas MD Anderson Cancer CenterNational and Kapodistrian University of AthensLeids Universitair Medisch CentrumWestfälische Wilhelms-Universität MünsterUniversità degli Studi di GenovaTel Aviv UniversityQIMR Berghofer Medical Research InstituteLunds UniversitetErasmus Medisch CentrumHaukeland UniversitetssjukehusCancer Institute and Hospital, Chinese Academy of Medical SciencesHope Center for Neurological DisordersInstitut National de la Santé et de la Recherche MédicaleUniversiteit LeidenMoffitt Cancer CenterUniversity of GlasgowBrown UniversityBundesministerium für Bildung und ForschungMcGill UniversityUniversity of LeedsQueensland University of TechnologyInstitut National de la Recherche AgronomiqueWellcome TrustFaculty of Medicine, Dentistry and Health Sciences, University of Western AustraliaCancer Research UKUniversité de LilleUniversity of PennsylvaniaUniversitetet i BergenGénome QuébecUniversité Paris DiderotDevelopment of Innovative Strategies for a Transdisciplinary approach to ALZheimer's diseaseDeutsches KrebsforschungszentrumDartmouth CollegeUniversity of Tasmania
KeywordsMelanomaGenetic architectureLinkage disequilibriumGenome-wide association studyGenetic associationCorrelationDiseaseBiologyGeneticsParkinson's diseaseGenetic correlationGeneGenetic variationMedicineGenotypeSingle-nucleotide polymorphismInternal medicineQuantitative trait locus

Abstract

fetched live from OpenAlex
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 imitation

Not 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 score0.029
Threshold uncertainty score0.696

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.238
Teacher spread0.223 · 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

Classification

machine, unvalidated

Machine 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

Citations42
Published2019
Admission routes1
Has abstractno

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