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Genome-wide association study of kidney function decline in individuals of European descent
Mathias Gorski, Adrienne Tin, Maija Garnaas, Gearoid M. McMahon, Audrey Y. Chu, Bamidele O. Tayo, Cristian Pattaro, Alexander Teumer, Daniel I. Chasman, John Chalmers, Pavel Hamet, Johanne Tremblay, Mark Woodward, Thor Aspelund, Guðný Eiríksdóttir, Vilmundur Guðnason, Tamara B. Harris, Lenore J. Launer, Albert V. Smith, Braxton D. Mitchell, Jeffrey R. O’Connell, Alan R. Shuldiner, Josef Coresh, Man Li, Paul Freudenberger, Edith Hofer, Helena Schmidt, Reinhold Schmidt, Paul Mitchell, Jie Jin Wang, Ian H. de Boer, Li Guo, David S. Siscovick, Zoltán Kutalik, Tanguy Corre, Péter Vollenweider, Gérard Waeber, Jayanta Gupta, Peter A. Kanetsky, Shih-Jen Hwang, Matthias Olden, Qiong Yang, Mariza de Andrade, Elizabeth J. Atkinson, Sharon L. R. Kardia, Stephen T. Turner, Jeanette M. Stafford, Jingzhong Ding, Ching‐Ti Liu, Cristina Barlassina, Daniele Cusi, Erika Salvi, Jan A. Staessen, Paul M. Ridker, Harald Grallert, Christa Meisinger, Martina Müller‐Nurasyid, Bernhard K. Krämer, Holly Kramer, Sylvia E. Rosas, Ilja M. Nolte, Brenda W.J.H. Penninx, Harold Snieder, Fabiola Del Greco M, André Franke, Ute Nöthlings, Wolfgang Lieb, Stephan J. L. Bakker, Ron T. Gansevoort, Pim van der Harst, Abbas Dehghan, Oscar H. Franco, Albert Hofman, Fernando Rivadeneira, Sanaz Sedaghat, André G. Uitterlinden, Stefan Coassin, Margot Haun, Barbara Kollerits, Florian Kronenberg, Bernhard Paulweber, Nicole Aumann, Karlhans Endlich, Mike Pietzner, Uwe Völker, Rainer Rettig, Vincent Chouraki, Catherine Helmer, Jean‐Charles Lambert, Marie Metzger, Bénédicte Stengel, Terho Lehtimäki, Leo‐Pekka Lyytikäinen, Olli T. Raitakari, Andrew D. Johnson, Afshin Parsa, Murielle Bochud, Iris M. Heid, Wolfram Goessling, Anna Köttgen, W.H. Linda Kao, Caroline S. Fox, Carsten A. Böger
Bibliographic record
VenueKidney International · 2014
Typereview
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsCentre Hospitalier de l’Université de Montréal
FundersNational Center for Advancing Translational SciencesNational Human Genome Research InstituteNational Institute of Mental HealthNational Heart, Lung, and Blood InstituteNational Institute on AgingMünchner Zentrum für GesundheitswissenschaftenServierMedical Research CouncilCanadian Institutes of Health ResearchNational Institutes of HealthU.S. Public Health ServiceCentre for Medical Systems BiologyUniversität GreifswaldHjartaverndNational Institute of Diabetes and Digestive and Kidney DiseasesTurun Yliopistollinen KeskussairaalaEmil Aaltosen SäätiöAustrian Science FundMedizinische Universität GrazUniversität UlmPaavo Nurmen SäätiöMutuelle Générale de l'Education NationaleKamillo Eisner StiftungSiemensSanofiFondation de FranceJuho Vainion SäätiöGeorgia Clinical and Translational Science AllianceEisaiJohns Hopkins UniversityMinistero dell’Istruzione, dell’Università e della RicercaZonMwNational Health and Medical Research CouncilSuomen KulttuurirahastoWake Forest UniversityNational Center for Research ResourcesNational Institute of General Medical SciencesNierstichtingFondation pour la Recherche MédicaleBundesministerium für Bildung und ForschungVlaamse regeringExzellenzclusters EntzündungsforschungSchool of Medicine, Boston UniversityUniversität RegensburgErasmus Medisch CentrumKarl-Franzens-Universität GrazAgence Française de Sécurité Sanitaire des Produits de SantéTampereen TuberkuloosisäätiöNIH Clinical CenterHelmholtz Zentrum MünchenKelaDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekWellcome TrustAstraZenecaEuropean CommissionElse Kröner-Fresenius-StiftungInstitut National de la Santé et de la Recherche Médicale
KeywordsGenome-wide association studySingle-nucleotide polymorphismBiologyOncologySNPInternal medicineRenal functionGenetic associationLocus (genetics)Meta-analysisGeneticsMedicineGenotypeGene
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)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.010
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 head0.048
GPT teacher head0.344
Teacher spread0.295 · 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
GenreReview
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
Citations142
Published2014
Admission routes2
Has abstractno