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Trans-ethnic association study of blood pressure determinants in over 750,000 individuals
Ayush Giri, Jacklyn N. Hellwege, Jacob M. Keaton, Jihwan Park, Chengxiang Qiu, Helen Warren, Eric S. Torstenson, Csaba P. Kövesdy, Yan V. Sun, Otis D. Wilson, Cassianne Robinson‐Cohen, Christianne L. Roumie, Cecilia P. Chung, Kelly A. Birdwell, Scott M. Damrauer, Scott L. DuVall, Derek Klarin, Kelly Cho, Yu Wang, Εvangelos Εvangelou, Claudia P. Cabrera, Louise V. Wain, Rojesh Shrestha, Brian S. Mautz, Elvis A. Akwo, Muralidharan Sargurupremraj, Stéphanie Debette, Michael Boehnke, Laura J. Scott, Jian’an Luan, Jing-Hua Zhao, Sara M. Willems, Sébastien Thériault, Nabi Shah, Christopher Oldmeadow, Peter Almgren, Ruifang Li‐Gao, Niek Verweij, Thibaud Boutin, Massimo Mangino, Ioanna Ntalla, Elena V. Feofanova, Praveen Surendran, James P. Cook, Savita Karthikeyan, Najim Lahrouchi, Chunyu Liu, Nuno Sepúlveda, Tom G. Richardson, Aldi T. Kraja, Philippe Amouyel, Martin Farrall, Neil R Poulter, Markku Laakso, Eleftheria Zeggini, Peter Sever, Robert A. Scott, Claudia Langenberg, Nicholas J. Wareham, David Conen, John Attia, Daniel I. Chasman, Paul M. Ridker, Olle Melander, Dennis Owen Mook-Kanamori, Pim van der Harst, Francesco Cucca, David Schlessinger, Caroline Hayward, Tim D. Spector, Marjo-Riitta Jarvelin, Branwen J. Hennig, Nicholas J. Timpson, Wei-Qi Wei, Joshua Smith, Yaomin Xu, Michael E. Matheny, Edward D. Siew, Cecilia M. Lindgren, Karl‐Heinz Herzig, George Dedoussis, Joshua C. Denny, Bruce M. Psaty, Joanna M. M. Howson, Patricia B. Munroe, Christopher Newton‐Cheh, Mark J. Caulfield, Paul Elliott, J. Michael Gaziano, John Concato, Peter W.F. Wilson, Philip S. Tsao, Digna R. Velez Edwards, Katalin Suszták, Christopher J. O’Donnell, Adriana M. Hung, Todd L. Edwards
Bibliographic record
VenueNature Genetics · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsUniversité LavalPopulation Health Research InstituteMcMaster University
FundersInstitute of GeneticsEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Eye InstituteNational Human Genome Research InstituteNational Heart, Lung, and Blood InstituteNIHR Leicester Biomedical Research CentreNational Institutes of HealthUniversity of IoanninaNational Cancer InstituteServierNovo Nordisk FondenUniversité de BordeauxLunds UniversitetVanderbilt University Medical CenterUniversiteit LeidenHunter Medical Research InstituteEuropean CommissionMedical Research CouncilLeids Universitair Medisch CentrumDepartment of Health and Social CareNational Institute on AgingNational Institute for Health and Care ResearchInstitut National de la Santé et de la Recherche MédicaleMenzies Centre for Australian Studies, King's College London, University of LondonU.S. Department of Veterans AffairsGovernment of the United KingdomUniversity of Texas Health Science Center at HoustonImperial College LondonUniversity of DundeeNational Institute of General Medical SciencesUniversité LavalNational Center for Research ResourcesAgence Nationale de la RechercheWellcome TrustMcMaster UniversityVanderbilt UniversityNational Institute of Neurological Disorders and StrokeBritish Heart FoundationBrigham and Women's HospitalPfizerRijksuniversiteit GroningenUniversity of LeicesterEconomic and Social Research CouncilUniversitair Medisch Centrum GroningenU.S. Department of Health and Human Services
KeywordsBlood pressureBiologyPhenomeTranscriptomeGeneSingle-nucleotide polymorphismGenome-wide association studyGenetic associationPulse pressureGeneticsGenetic architectureGene expressionGenomeEndocrinologyGenotypeQuantitative trait locus
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 head0.012
GPT teacher head0.307
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
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
Citations501
Published2018
Admission routes2
Has abstractno