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DNA Methylation Analysis Identifies Loci for Blood Pressure Regulation
Melissa A. Richard, Tianxiao Huan, Symen Ligthart, Rahul Gondalia, Min A. Jhun, Jennifer A. Brody, Marguerite R. Irvin, Riccardo E. Marioni, Jincheng Shen, Pei-Chien Tsai, May E. Montasser, Yucheng Jia, Catriona Syme, Elias Salfati, Eric Boerwinkle, Weihua Guan, Thomas H. Mosley, Jan Bressler, Alanna C. Morrison, Chunyu Liu, Michael Mendelson, André G. Uitterlinden, Joyce B. J. van Meurs, Oscar H. Franco, Guosheng Zhang, Yun Li, James D. Stewart, Joshua C. Bis, Bruce M. Psaty, Yii‐Der Ida Chen, Sharon L. R. Kardia, Wei Zhao, Stephen T. Turner, Devin Absher, Stella Aslibekyan, John M. Starr, Allan F. McRae, Lifang Hou, Allan C. Just, Joel Schwartz, Pantel Vokonas, Cristina Menni, Tim D. Spector, Alan R. Shuldiner, Coleen Damcott, Jerome I. Rotter, Walter Palmas, Yongmei Liu, Tomáš Paus, Steve Horvath, Jeffrey R. O’Connell, Xiuqing Guo, Zdenka Pausová, Themistocles L. Assimes, Nona Sotoodehnia, Jennifer A. Smith, Donna K. Arnett, Ian J. Deary, Andrea Baccarelli, Jordana T. Bell, Eric A. Whitsel, Abbas Dehghan, Daniel Levy, Myriam Fornage, Bastiaan T. Heijmans, Peter A.C. ’t Hoen, Aaron Isaacs, Rick Jansen, Lude Franke, Dorret I. Boomsma, René Pool, Jenny van Dongen, Marleen M. J. van Greevenbroek, Coen D.A. Stehouwer, Carla Kallen, Casper G. Schalkwijk, Cisca Wijmenga, Alexandra Zhernakova, Ettje F. Tigchelaar, P. Eline Slagboom, Marian Beekman, Joris Deelen, Jan H. Veldink, Leonard H. van den Berg, Cornelia M. van Duijn, Albert Hofman, P. Mila Jhamai, Michaël Verbiest, H. Eka D. Suchiman, Marijn Verkerk, Ruud van der Breggen, Jeroen van Rooij, Nico Lakenberg, Hailiang Mei, Maarten van Iterson, Michiel van Galen, Jan Bot, Peter van ‘t Hof, Patrick Deelen, Irene Nooren, Matthijs Moed, Martijn Vermaat, Dasha V. Zhernakova, René Luijk, Marc Jan Bonder, Freerk van Dijk, Wibowo Arindrarto, Szymon M. Kiełbasa, Morris A. Swertz, Erik W. van Zwet
Bibliographic record
VenueThe American Journal of Human Genetics · 2017
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsBaycrest HospitalSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersNational Institute of Environmental Health SciencesNational Center for Advancing Translational SciencesBiotechnology and Biological Sciences Research CouncilNational Institute of Diabetes and Digestive and Kidney DiseasesNational Heart, Lung, and Blood InstituteEconomic and Social Research CouncilNational Institute of Neurological Disorders and StrokeMedical Research Council
KeywordsDNA methylationBiologyMethylationGeneticsEpigeneticsCpG siteMendelian randomizationGeneGene expressionGenotypeGenetic variants
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 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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.971
Threshold uncertainty score0.916
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 head0.055
GPT teacher head0.380
Teacher spread0.325 · 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 teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Citations254
Published2017
Admission routes1
Has abstractno