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Record W2965887611 · doi:10.1038/s41562-019-0653-z

New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders

2019· review· en· W2965887611 on OpenAlex
Εvangelos Εvangelou, He Gao, Congying Chu, Georgios Ntritsos, Paul Blakeley, Andrew R. Butts, Raha Pazoki, Hideaki Suzuki, Fotios Koskeridis, Andrianos M. Yiorkas, İbrahim Karaman, Joshua Elliott, Qiang Luo, Stefanie Aeschbacher, Traci M. Bartz, Sebastian E. Baumeister, Peter S. Braund, Michael R. Brown, Jennifer A. Brody, Toni-Kim Clarke, Niki Dimou, Jessica D. Faul, Georg Homuth, Anne Jackson, Katherine A. Kentistou, Peter K. Joshi, Rozenn N. Lemaître, Penelope A. Lind, Leo‐Pekka Lyytikäinen, Massimo Mangino, Yuri Milaneschi, Christopher P. Nelson, Ilja M. Nolte, Mia-Maria Perälä, Ozren Polašek, David J. Porteous, Scott M. Ratliff, Jennifer A. Smith, Alena Stančáková, Alexander Teumer, Samuli Tuominen, Sébastien Thériault, Jagadish Vangipurapu, John B. Whitfield, Alexis C. Wood, Jie Yao, Bing Yu, Wei Zhao, Dan E. Arking, Juha Auvinen, Chunyu Liu, Minna Männikkö, Lorenz Risch, Jerome I. Rotter, Harold Snieder, Juha Veijola, Alexandra I. F. Blakemore, Michael Boehnke, Harry Campbell, David Conen, Johan G. Eriksson, Hans J. Grabe, Xiuqing Guo, Pim van der Harst, Catharina A. Hartman, Caroline Hayward, Andrew C. Heath, Marjo‐Riitta Järvelin, Mika Kähönen, Sharon L. R. Kardia, Michael Kühne, Johanna Kuusisto, Markku Laakso, Jari Lahti, Terho Lehtimäki, Andrew M. McIntosh, Karen L. Mohlke, Alanna C. Morrison, Nicholas G. Martin, Albertine J. Oldehinkel, Brenda W.J.H. Penninx, Bruce M. Psaty, Olli T. Raitakari, Igor Rudan, Nilesh J. Samani, Laura J. Scott, Tim D. Spector, Niek Verweij, David R. Weir, James F. Wilson, Daniel Levy, Ioanna Tzoulaki, Jimmy D. Bell, Paul M. Matthews, Adrian Rothenfluh, Sylvane Desrivières, Günter Schumann, Paul Elliott

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNature Human Behaviour · 2019
Typereview
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsUniversité LavalMcMaster UniversityPopulation Health Research Institute
FundersNational Institute on Drug AbuseNational Heart, Lung, and Blood InstituteNational Institute on Alcohol Abuse and AlcoholismMedical Research CouncilNational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchNational Institutes of HealthUK Dementia Research InstituteNational Institute of Mental HealthHorizon 2020 Framework ProgrammeSvenska Forskningsrådet FormasFondation pour la Recherche MédicaleMcMaster UniversityPublic Health EnglandDeutsche ForschungsgemeinschaftMission Interministérielle de Lutte Contre les Drogues et les Conduites AddictivesScience Foundation IrelandEuropean CommissionWellcome TrustImperial College Healthcare NHS TrustNetherlands Heart InstituteImperial College LondonAgence Nationale de la RechercheAlzheimer's SocietyKing's College LondonNational Institute of Diabetes and Digestive and Kidney DiseasesSouth London and Maudsley NHS Foundation TrustFondation de FranceBundesministerium für Bildung und ForschungNational Institute for Health and Care ResearchVetenskapsrådetNational Institute for Health Research Health Protection Research UnitInstitut National de la Santé et de la Recherche MédicaleEU Joint Programme – Neurodegenerative Disease ResearchUniversité Laval
KeywordsBiobankGenome-wide association studyDECIPHERGenetic architectureSchizophrenia (object-oriented programming)GeneticsGenetic epidemiologyGenetic associationAlcohol consumptionBiologyAlcoholGeneMedicinePsychiatryQuantitative trait locusSingle-nucleotide polymorphismGenotype

Abstract

fetched live from OpenAlex

Excessive alcohol consumption is one of the main causes of death and disability worldwide. Alcohol consumption is a heritable complex trait. We conducted a meta-analysis of genome-wide association studies (GWAS) of gram/day (g/d) alcohol consumption in UK-Biobank, AlcGen and CHARGE+ consortia accumulating 480,842 people of European descent to decipher the genetic architecture of alcohol intake. We identified 46 novel, common loci, and investigated their potential functional significance using magnetic resonance imaging data and gene expression studies. Our results identify genetic pathways associated with alcohol consumption and suggest shared genetic mechanisms with neuropsychiatric disorders including schizophrenia.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.068
GPT teacher head0.397
Teacher spread0.329 · 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