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Record W3113754461 · doi:10.1038/s41588-021-00923-x

Genomic and phenotypic insights from an atlas of genetic effects on DNA methylation

2021· article· en· W3113754461 on OpenAlexaff
Josine L. Min, Gibran Hemani, Eilís Hannon, Koen F. Dekkers, Juan Castillo‐Fernandez, René Luijk, Elena Carnero‐Montoro, Daniel J. Lawson, Kimberley Burrows, Matthew Suderman, Andrew D. Bretherick, Tom G. Richardson, Johanna Klughammer, Valentina Iotchkova, Gemma C. Sharp, Ahmad Al Khleifat, Aleksey Shatunov, Alfredo Iacoangeli, Wendy L. McArdle, Karen Ho, Ashish Kumar, Cilla Söderhäll, Carolina Soriano‐Tárraga, Eva Giralt‐Steinhauer, Nabila Kazmi, Dan Mason, Allan F. McRae, David L. Corcoran, Karen Sugden, Silva Kasela, Alexia Cardona, Felix R. Day, Giovanni Cugliari, Clara Viberti, Simonetta Guarrera, Michael C. Lerro, Richa Gupta, Sailalitha Bollepalli, Pooja R. Mandaviya, Yanni Zeng, Toni‐Kim Clarke, Rosie M. Walker, Vanessa Schmoll, Darina Czamara, Carlos Ruiz-Arenas, Faisal I. Rezwan, Riccardo E. Marioni, Tian Lin, Yvonne Awaloff, Marine Germain, Dylan Aïssi, Ramona Zwamborn, Kristel van Eijk, Annelot M. Dekker, Jenny van Dongen, Jouke‐Jan Hottenga, Gonneke Willemsen, Cheng‐Jian Xu, Guillermo Barturen, Francesc Català‐Moll, Martin Kerick, Carol A. Wang, Phillip E. Melton, Hannah R. Elliott, Jean Shin, Manon Bernard, İdil Yet, Melissa Smart, T.J. Gorrie-Stone, Chris Shaw, Ammar Al‐Chalabi, Susan M. Ring, Göran Pershagen, Erik Melén, Jordi Jiménez‐Conde, Jaume Roquer, Debbie A. Lawlor, John Wright, Nicholas G. Martin, Grant W. Montgomery, Terrie E. Moffitt, Richie Poulton, Tõnu Esko, Lili Milani, Andres Metspalu, John R. B. Perry, Ken K. Ong, Nicholas J. Wareham, Giuseppe Matullo, Carlotta Sacerdote, Salvatore Panico, Avshalom Caspi, Louise Arseneault, France Gagnon, Miina Ollikainen, Jaakko Kaprio, Janine F. Felix, Fernando Rivadeneira, Henning Tiemeier, Marinus H. van IJzendoorn, André G. Uitterlinden, Vincent W. V. Jaddoe, Chris Haley, Andrew M. McIntosh, Kathryn L. Evans, Alison D. Murray, Katri Räikkönen, Jari Lahti, Ellen A. Nøhr, Thorkild I. A. Sørensen, Torben Hansen, Camilla S. Morgen, Elisabeth B. Binder, Susanne Lucae, Juan R. González, Mariona Bustamante, Jordi Sunyer, John W. Holloway, Wilfried Karmaus, Hongmei Zhang, Ian J. Deary, Naomi R. Wray, John M. Starr, Marian Beekman, Diana van Heemst, P. Eline Slagboom, Pierre‐Emmanuel Morange, David‐Alexandre Trégouët, Jan H. Veldink, Gareth E. Davies, Eco J. C. de Geus, Dorret I. Boomsma, Judith M. Vonk, Bert Brunekreef, Gerard H. Koppelman, Marta E. Alarcón‐Riquelme, Rae‐Chi Huang, Craig E. Pennell, Joyce B. J. van Meurs, M. Arfan Ikram, Alun D. Hughes, Therese Tillin, Nish Chaturvedi, Zdenka Pausová, Tomáš Paus, Timothy D. Spector, Meena Kumari, Leonard C. Schalkwyk, Peter M. Visscher, George Davey Smith, Christoph Bock, Tom R. Gaunt, Jordana T. Bell, Bastiaan T. Heijmans, Jonathan Mill, Caroline L. Relton

Bibliographic record

VenueNature Genetics · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsSickKids FoundationHospital for Sick ChildrenPublic Health OntarioUniversity of Toronto
FundersEconomic and Social Research CouncilMedical Research CouncilDirectorate for Biological SciencesNederlandse Federatie van Universitair Medische CentraBiotechnology and Biological Sciences Research CouncilZonMwÖsterreichischen Akademie der WissenschaftenWellcome TrustAgence Nationale de la RechercheResearch Councils UKMotor Neurone Disease AssociationNational Institute for Health and Care ResearchUniversity of BristolJoint Programming Initiative A healthy diet for a healthy lifeCancer Research UKBritish Heart FoundationRoyal SocietyWellcome
KeywordsBiologyDNA methylationGeneticsPhenotypeComputational biologyEvolutionary biologyGeneGene expression

Abstract

fetched live from OpenAlex
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 imitation

Not 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.249
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations539
Published2021
Admission routes1
Has abstractno

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