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Large-Scale Gene-Centric Meta-analysis across 32 Studies Identifies Multiple Lipid Loci
Folkert W. Asselbergs, Yiran Guo, Erik P.A. van Iperen, Suthesh Sivapalaratnam, Vinicius Tragante, Matthew B. Lanktree, Leslie A. Lange, Berta Almoguera, Yolande Appelman, John Barnard, Jens Baumert, Amber L. Beitelshees, Tushar Bhangale, Yii‐Der Ida Chen, Tom R. Gaunt, Yan Gong, Jemma C. Hopewell, Toby Johnson, Marcus E. Kleber, Taimour Langaee, Mingyao Li, Kiang Liu, Caitrin W. McDonough, Matthijs F.L. Meijs, Rita P. S. Middelberg, Christopher P. Nelson, Jeffery R. O’Connell, Sandosh Padmanabhan, James S. Pankow, Nathan Pankratz, Suzanne Rafelt, Ramakrishnan Rajagopalan, Simon P.R. Romaine, Nicholas J. Schork, Jonathan A. Shaffer, Haiqing Shen, Erin N. Smith, Sam E. Tischfield, Peter J. van der Most, Jana V. van Vliet‐Ostaptchouk, Niek Verweij, Kelly A. Volcik, Li Zhang, Kent R. Bailey, Kristian Bailey, Florianne Bauer, Jolanda M.A. Boer, Peter S. Braund, Amber Burt, Paul R. Burton, Sarah G. Buxbaum, Wei Chen, Rhonda M. Cooper‐DeHoff, L. Adrienne Cupples, J DEJONG, Christian Delles, David Duggan, Myriam Fornage, Clement E. Furlong, Nicole L. Glazer, John G. Gums, Claire E. Hastie, Michael V. Holmes, Thomas Illig, Susan Kirkland, Mika Kivimäki, Ronald Klein, Barbara E.K. Klein, Charles Kooperberg, Kandice Kottke‐Marchant, Meena Kumari, Andrea Z. LaCroix, Laya Mallela, Gurunathan Murugesan, José M. Ordovás, Willem H. Ouwehand, Wendy S. Post, Richa Saxena, Hubert Scharnagl, Pamela J. Schreiner, Tina Shah, Denis C. Shields, Daichi Shimbo, Sathanur R. Srinivasan, Ronald P. Stolk, Daniel I. Swerdlow, Herman A. Taylor, Eric J. Topol, Elina Toskala, Jessica van Setten, Salim Yusuf, John C. Whittaker, Aeilko H. Zwinderman, Sonia S. Anand, Anthony J. Balmforth, Gerald S. Berenson, Connie R. Bezzina, Bernhard O. Boehm, Eric Boerwinkle, Juan P. Casas, Mark J. Caulfield, Robert Clarke, John Connell, Karen J. Cruickshanks, Karina W. Davidson, Ian N. M. Day, Paul I. W. de Bakker, Pieter A. Doevendans, Anna F. Dominiczak, Alistair S. Hall, Catharina A. Hartman, Christian Hengstenberg, Hans L. Hillege, Marten H. Hofker, Steve E. Humphries, Gail P. Jarvik, Julie A. Johnson, Bernhard M. Kaess, Sekar Kathiresan, Wolfgang Köenig, Debbie A. Lawlor, Winfried März, Olle Melander, Braxton D. Mitchell, Grant W. Montgomery, Patricia B. Munroe, Sarah S. Murray, Stephen Newhouse, N. Charlotte Onland‐Moret, Neil R Poulter, Bruce M. Psaty, Susan Redline, Stephen S. Rich, Jerome I. Rotter, Heribert Schunkert, Peter Sever, Alan R. Shuldiner, Roy L. Silverstein, Alice Stanton, Barbara Thorand, Mieke D. Trip, Michael Y. Tsai, Pim van der Harst, C. Ellen van der Schoot, Yvonne T. van der Schouw, W. M. Monique Verschuren, Hugh Watkins, Arthur A.M. Wilde, Bruce H. R. Wolffenbuttel, John B. Whitfield, G. Kees Hovingh, Christie M. Ballantyne, Cisca Wijmenga, Muredach P. Reilly, Nicholas G. Martin, James G. Wilson, Daniel J. Rader, Nilesh J. Samani, Alex P. Reiner, Robert A. Hegele, John J.P. Kastelein, Aroon D. Hingorani, Philippa J. Talmud, Håkon Håkonarson, Clara C. Elbers, Brendan J. Keating, Fotios Drenos
Bibliographic record
VenueThe American Journal of Human Genetics · 2012
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsMcMaster UniversityPopulation Health Research InstituteHamilton Health SciencesDalhousie UniversityWestern University
FundersNational Institute on Minority Health and Health DisparitiesNational Center for Research ResourcesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute for Health and Care ResearchNational Institute of General Medical SciencesNational Center for Advancing Translational SciencesWellcome TrustNational Human Genome Research InstituteNational Heart, Lung, and Blood InstituteNational Eye InstituteNational Institute on AgingBritish Heart FoundationNational Cancer InstituteEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentAgency for Healthcare Research and QualityNational Institutes of Health
KeywordsSingle-nucleotide polymorphismGenome-wide association studyBiologySNPGeneticsGenetic associationCandidate geneGeneGenotype
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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.652
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 head0.121
GPT teacher head0.406
Teacher spread0.285 · 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.
Study designMeta-analysis
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
Citations269
Published2012
Admission routes1
Has abstractno