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Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study
Benjamin F. Voight, Gina M. Peloso, Marju Orho‐Melander, Ruth Frikke‐Schmidt, Maja Barbalić, Majken K. Jensen, George Hindy, Hilma Holm, Eric L. Ding, Toby Johnson, Heribert Schunkert, Nilesh J. Samani, Robert Clarke, Jemma C. Hopewell, John F. Thompson, Mingyao Li, Guðmar Þorleifsson, Christopher Newton‐Cheh, Kiran Musunuru, James P. Pirruccello, Danish Saleheen, Li Chen, Alexandre F.R. Stewart, Arne Schillert, Unnur Þorsteinsdóttir, Guðmundur Þorgeirsson, Sonia S. Anand, James C. Engert, Thomas M. Morgan, John A. Spertus, Monika Stoll, Klaus Berger, Nicola Martinelli, Domenico Girelli, Pascal McKeown, Christopher Patterson, Stephen E. Epstein, Joseph Devaney, Mary-Susan Burnett, Vincent Mooser, Samuli Ripatti, Ida Surakka, Markku S. Nieminen, Juha Sinisalo, Marja‐Liisa Lokki, Markus Perola, Aki S. Havulinna, Ulf dé Fairé, Bruna Gigante, Erik Ingelsson, Tanja Zeller, Philipp S. Wild, Paul I. W. de Bakker, Olaf H. Klungel, Anke H. Maitland‐van der Zee, Bas Peters, Anthonius de Boer, Diederick E. Grobbee, Pieter W. Kamphuisen, Vera H.M. Deneer, Clara C. Elbers, N. Charlotte Onland‐Moret, Marten H. Hofker, Cisca Wijmenga, W. M. Monique Verschuren, Jolanda M.A. Boer, Yvonne T. van der Schouw, Asif Rasheed, Philippe Frossard, Serkalem Demissie, Cristen J. Willer, Ron Do, José M. Ordovás, Gonçalo R. Abecasis, Michael Boehnke, Karen L. Mohlke, Mark J. Daly, Candace Guiducci, Noël P. Burtt, Aarti Surti, Elena González, Shaun Purcell, Stacey B. Gabriel, Jaume Marrugat, John F. Peden, Jeanette Erdmann, Patrick Diemert, Christina Willenborg, Inke R. Koenig, Marcus Fischer, Christian Hengstenberg, Andreas Ziegler, Ian Buysschaert, Diether Lambrechts, Frans Van de Werf, Keith A.A. Fox, Nour Eddine El Mokhtari, Deborah C. Rubin, Stefan Schreiber, John Danesh, Stefan Blankenberg, Robert Roberts, Ruth McPherson, Hugh Watkins, Alistair S. Hall, Kim Overvad, Eric B. Rimm, Eric Boerwinkle, Anne Tybjærg‐Hansen, L. Adrienne Cupples, Muredach P. Reilly, Olle Melander, Pier Mannuccio Mannucci, Diego Ardissino, David S. Siscovick, Roberto Elosúa, Kāri Stefánsson, Christopher J. O’Donnell, Veikko Salomaa, Daniel J. Rader, Leena Peltonen, Stephen M. Schwartz, David Altshuler, Sekar Kathiresan
Bibliographic record
VenueThe Lancet · 2012
Typearticle
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsMcGill UniversityMcMaster UniversityPopulation Health Research InstituteHamilton Health SciencesUniversity of Ottawa
FundersNational Heart, Lung, and Blood InstituteBritish Heart FoundationWellcome Trust
KeywordsMyocardial infarctionInternal medicineCholesterolMedicineMendelian randomizationCardiologyGenetic variantsBiologyGenetics
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.249
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 head0.024
GPT teacher head0.264
Teacher spread0.240 · 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 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
Citations118
Published2012
Admission routes1
Has abstractno