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An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Broad Depression Phenotype

2016· review· en· W2560318205 on OpenAlexaff
Neşe Direk, Stephanie Williams, Jennifer A. Smith, Stephan Ripke, Tracy Air, Azmeraw T. Amare, Najaf Amin, Bernhard T. Baune, David A. Bennett, Douglas Blackwood, Dorret I. Boomsma, Gerome Breen, Henriette N. Buttenschøn, Enda M. Byrne, Anders D. Børglum, Enrique Castelao, Sven Cichon, Toni‐Kim Clarke, Marilyn C. Cornelis, Udo Dannlowski, Philip L. De Jager, Ayşe Demirkan, Enrico Domenici, Cornelia M. van Duijn, Erin C. Dunn, Johan G. Eriksson, Tõnu Esko, Jessica D. Faul, Luigi Ferrucci, Myriam Fornage, Eco J. C. de Geus, Michael Gill, Scott D. Gordon, Hans J. Grabe, Gerard van Grootheest, Steven P. Hamilton, Catharina A. Hartman, Andrew C. Heath, Karin Hek, Albert Hofman, Georg Homuth, Carsten Horn, Sharon L. R. Kardia, Stefan Kloiber, Karestan C. Koenen, Zoltán Kutalik, Karl-Heinz Ladwig, Jari Lahti, Douglas F. Levinson, Cathryn M. Lewis, Glyn Lewis, Qingqin S. Li, David J. Llewellyn, Susanne Lucae, Kathryn L. Lunetta, Donald J. MacIntyre, Pamela Madden, Nicholas G. Martin, Andrew M. McIntosh, Andres Metspalu, Yuri Milaneschi, Grant W. Montgomery, Ole Mors, Thomas H. Mosley, Joanne M. Murabito, Bertram Müller‐Myhsok, Markus M. Nöthen, Dale R. Nyholt, Michael O‘Donovan, Brenda W.J.H. Penninx, Michele L. Pergadia, Roy H. Perlis, James B. Potash, Martin Preisig, Shaun Purcell, Jorge A. Quiroz, Katri Räikkönen, John P. Rice, Marcella Rietschel, Margarita Rivera, Thomas G. Schulze, Jianxin Shi, Stanley I. Shyn, Grant Sinnamon, Johannes H. Smit, Jordan W. Smoller, Harold Snieder, Toshiko Tanaka, Katherine E. Tansey, Alexander Teumer, Rudolf Uher, Daniel Umbricht, Sandra Van der Auwera, Erin B. Ware, David R. Weir, Myrna M. Weissman, Gonneke Willemsen, Jingyun Yang, Wei Zhao, Henning Tiemeier, Patrick F. Sullivan

Bibliographic record

VenueBiological Psychiatry · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsDalhousie UniversityUniversity of King's College
FundersEuropean Social FundNational Institute of Mental HealthNational Heart, Lung, and Blood InstituteMedical Research CouncilChinese Society of Clinical OncologyNational Institute on AgingDr Mortimer and Theresa Sackler FoundationNorwegian Biodiversity Information CentreLundbeckfondenNational Institutes of HealthSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Institute for Health and Care ResearchEuropean Federation of Pharmaceutical Industries and AssociationsEuropean CommissionJohns Hopkins UniversityEuropean Science FoundationNational Science FoundationUniversity of WashingtonVrije Universiteit AmsterdamNederlandse Organisatie voor Wetenschappelijk OnderzoekWellcome TrustGlaxoSmithKline
KeywordsGenome-wide association studyMeta-analysisBiologyPhenotypeGeneticsLocus (genetics)Computational biologyGenetic associationDepression (economics)MedicineGenotypeGeneSingle-nucleotide polymorphismInternal medicine

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.134
GPT teacher head0.429
Teacher spread0.295 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations100
Published2016
Admission routes1
Has abstractno

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