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Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation
Ingrid E. Christophersen, Michiel Rienstra, Carolina Roselli, Xiaoyan Yin, Bastiaan Geelhoed, John Barnard, Honghuang Lin, Dan E. Arking, Albert V. Smith, Christine M. Albert, Mark Chaffin, Nathan R. Tucker, Molong Li, Derek Klarin, Nathan A. Bihlmeyer, Siew‐Kee Low, Peter Weeke, Martina Müller‐Nurasyid, J. G. Smith, Jennifer A. Brody, Maartje N. Niemeijer, Marcus Dörr, Stella Trompet, Jennifer E. Huffman, Stefan Gustafsson, Claudia Schurmann, Marcus E. Kleber, Leo‐Pekka Lyytikäinen, Ilkka Seppälä, Rainer Malik, Andréa R. V. R. Horimoto, Marco Pérez, Juha Sinisalo, Stefanie Aeschbacher, Sébastien Thériault, Jie Yao, Farid Radmanesh, Stefan Weiß, Alexander Teumer, Seung Hoan Choi, Lu‐Chen Weng, Sebastian Clauß, Rajat Deo, Daniel J. Rader, Svati H. Shah, Albert Y. Sun, Jemma C. Hopewell, Stéphanie Debette, Ganesh Chauhan, Qiong Yang, Bradford B. Worrall, Guillaume Paré, Yanick Hagemeijer, Niek Verweij, Joylene E. Siland, Michiaki Kubo, Jonathan D. Smith, David R. Van Wagoner, Siegfried Perz, Bruce M. Psaty, Paul M. Ridker, Jared W. Magnani, Tamara B. Harris, Lenore J. Launer, M. Benjamin Shoemaker, Sandosh Padmanabhan, Jeffrey Haessler, Traci M. Bartz, Mélanie Waldenberger, Peter Lichtner, Marina Arendt, José Eduardo Krieger, Mika Kähönen, Lorenz Risch, Alfredo José Mansur, Annette Peters, Blair H. Smith, Lars Lind, Stuart A. Scott, Yingchang Lu, Erwin B. Bottinger, Jussi Hernesniemi, Cecilia M. Lindgren, Jorge Wong, Jie Huang, Markku Eskola, Andrew P. Morris, Ian Ford, Alex P. Reiner, Graciela Delgado, Lin Y. Chen, Yii-Der Ida Chen, Roopinder K. Sandhu, Man Li, Eric Boerwinkle, Lewin Eisele, Lars Lannfelt, Natalia S. Rost, Christopher D. Anderson, Kent D. Taylor, Archie Campbell, Patrik K. E. Magnusson, David J. Porteous, Lynne J. Hocking, Efthymia Vlachopoulou, Nancy L. Pedersen, Kjell Nikus, Marju Orho‐Melander, Anders Hamsten, Jan Heeringa, Joshua C. Denny, Jennifer Kriebel, Dawood Darbar, Christopher Newton‐Cheh, Christian M. Shaffer, Peter W. Macfarlane, Stefanie Heilmann‐Heimbach, Peter Almgren, Paul L. Huang, Nona Sotoodehnia, Elsayed Z. Soliman, André G. Uitterlinden, Albert Hofman, Oscar H. Franco, Uwe Völker, Karl‐Heinz Jöckel, Moritz F. Sinner, Henry J. Lin, Xiuqing Guo, Martin Dichgans, Erik Ingelsson, Charles Kooperberg, Olle Melander, Ruth J. F. Loos, Jari Laurikka, David Conen, Jonathan Rosand, Pim van der Harst, Marja‐Liisa Lokki, Sekar Kathiresan, Alexandre C. Pereira, J. Wouter Jukema, Caroline Hayward, Jerome I. Rotter, Winfried März, Terho Lehtimäki, Bruno H. Stricker, Mina K. Chung, Stephan B. Felix, Vilmundur Guðnason, Álvaro Alonso, Dan M. Roden, Stefan Kääb, Daniel I. Chasman, Susan R. Heckbert, Emelia J. Benjamin, Toshihiro Tanaka, Kathryn L. Lunetta, Steven A. Lubitz, Patrick T. Ellinor
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
Bibliographic record
VenueNature Genetics · 2017
Typereview
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversity of AlbertaHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
FundersNational Center for Advancing Translational SciencesNational Heart, Lung, and Blood InstituteNational Institute of Diabetes and Digestive and Kidney DiseasesNational Cancer InstituteNational Institutes of HealthWellcome Trust
KeywordsGenome-wide association studyAtrial fibrillationGenetic associationBiologyExomeFibrillationGeneticsInternal medicineBioinformaticsExome sequencingGeneMedicineSingle-nucleotide polymorphismPhenotypeGenotype
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.
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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.934
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 | 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 head0.135
GPT teacher head0.441
Teacher spread0.306 · 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 itQuick stats
Citations357
Published2017
Admission routes1
Has abstractno