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Enregistrement W4239928779 · doi:10.3410/f.737584496.793573108

Faculty Opinions recommendation of The genetic architecture of the human cerebral cortex.

2020· dataset· en· W4239928779 sur OpenAlexfundno aff
Geneviève Konopka

Notice bibliographique

RevueFaculty Opinions – Post-Publication Peer Review of the Biomedical Literature · 2020
Typedataset
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueGenetic Associations and Epidemiology
Établissements canadiensnon disponible
Organismes subventionnairesFP7 Ideas: European Research CouncilNational Institute of Biomedical Imaging and BioengineeringNational Institute of Mental HealthNational Institute on AgingNational Health and Medical Research CouncilBiotechnology and Biological Sciences Research CouncilCanadian Institutes of Health ResearchMaryland Population Research Center, University of MarylandNational Institutes of HealthMacquarie Group FoundationHeinz Nixdorf StiftungMedical Research CouncilEpilepsy SocietyServierMission Interministérielle de Lutte Contre les Drogues et les Conduites AddictivesInnovative Medicines InitiativeFederalno Ministarstvo Obrazovanja i NaukeRamsay Health CareUniversity College London Hospitals NHS Foundation TrustRadboud Universitair Medisch CentrumUniversitetet i BergenDirectorate for Biological SciencesHelse Midt-NorgeFondation de FranceCentre for Cognitive Ageing and Cognitive EpidemiologyStockholms Läns LandstingBundesministerium für Bildung und ForschungHersenstichtingEli Lilly and CompanyRadboud UniversiteitNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftH. Lundbeck A/SUniversity of BristolGenentechEuropean CommissionMax-Planck-GesellschaftKing's College LondonLieber Institute for Brain DevelopmentNational Healthcare GroupAlzheimer's AssociationEuropean Federation of Pharmaceutical Industries and AssociationsPfizerEU Joint Programme – Neurodegenerative Disease ResearchBergens ForskningsstiftelseSvenska Forskningsrådet FormasHorizon 2020 Framework ProgrammeVetenskapsrådetUniversiteit UtrechtErasmus+Australian Schizophrenia Research BankNorges ForskningsrådQIMR Berghofer Medical Research InstituteNational Institute for Health and Care ResearchPratt FoundationNorthern California Institute for Research and EducationZonMwNational Center for Research ResourcesNational Alliance for Research on Schizophrenia and DepressionFondation pour la Recherche MédicaleSouth London and Maudsley NHS Foundation TrustNorges Teknisk-Naturvitenskapelige UniversitetAgence Nationale de la RechercheBiogenBioClinicaUniversity College LondonMax Planck Instituut voor PsycholinguïstiekWellcome TrustEisaiFoundation for the National Institutes of HealthAge UKUniversity of Southern CaliforniaFondation de l'Avenir pour la Recherche Médicale AppliquéeF. Hoffmann-La RocheScience Foundation IrelandNational Science FoundationMassachusetts General HospitalSylvia and Charles Viertel Charitable FoundationNational Center for Advancing Translational SciencesNovartis Pharmaceuticals CorporationHoward Hughes Medical InstituteCardiff UniversityU.S. Department of DefenseSimons FoundationBristol-Myers SquibbIXICOKnut och Alice Wallenbergs StiftelseScottish Funding CouncilNational Medical Research CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungU.S. Department of Veterans AffairsAlzheimer's Disease Neuroimaging InitiativeMeso Scale DiagnosticsKarolinska InstitutetU.S. Department of Energy
Mots-clésGenome-wide association studyMedicineNeuroscienceGerontologyPsychologyGeneticsBiologyGeneSingle-nucleotide polymorphism

Résumé

récupéré en direct d'OpenAlex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. PMID: 32193296 Funding information This work was supported by: NIA NIH HHS, United States Grant ID: U01 AG049505 NIA NIH HHS, United States Grant ID: R01 AG059874 NIA NIH HHS, United States Grant ID: R01 AG022381 NIDA NIH HHS, United States Grant ID: RC2 DA029475 NIA NIH HHS, United States Grant ID: RF1 AG051710 NHLBI NIH HHS, United States Grant ID: N01HC85081 Medical Research Council, United Kingdom Grant ID: G9815508 NINDS NIH HHS, United States Grant ID: R01 NS042867 NCRR NIH HHS, United States Grant ID: S10 RR023401 NIMH NIH HHS, United States Grant ID: RC1 MH089257 NIMH NIH HHS, United States Grant ID: R01 MH119243 NHLBI NIH HHS, United States Grant ID: N01HC85080 NIMH NIH HHS, United States Grant ID: R01 MH085646 NIMH NIH HHS, United States Grant ID: R01 MH118349 NCATS NIH HHS, United States Grant ID: UL1 TR001881 NHLBI NIH HHS, United States Grant ID: R01 HL087641 NIA NIH HHS, United States Grant ID: R01 AG023629 Medical Research Council, United Kingdom Grant ID: MR/L010305/1 NHLBI NIH HHS, United States Grant ID: N01HC85079 NCRR NIH HHS, United States Grant ID: U24 RR025736 NCRR NIH HHS, United States Grant ID: S10 RR023043 NIMH NIH HHS, United States Grant ID: R01 MH083824 NICHD NIH HHS, United States Grant ID: R01 HD061414 NINDS NIH HHS, United States Grant ID: R01 NS073134 NIH HHS, United States Grant ID: S10 OD023696 Biotechnology and Biological Sciences Research Council, United Kingdom Grant ID: BB/F019394/1 NIMH NIH HHS, United States Grant ID: R01 MH112180 NIA NIH HHS, United States Grant ID: P30 AG010129 NIA NIH HHS, United States Grant ID: R03 AG046413 Wellcome Trust, United Kingdom NIDDK NIH HHS, United States Grant ID: R01 DK092127 Medical Research Council, United Kingdom Grant ID: G0700704 NIDA NIH HHS, United States Grant ID: R01 DA018673 NHLBI NIH HHS, United States Grant ID: N01HC25195 NHLBI NIH HHS, United States Grant ID: HHSN268201100005C NLM NIH HHS, United States Grant ID: R01 LM012535 NHLBI NIH HHS, United States Grant ID: N01HC85083 NHLBI NIH HHS, United States Grant ID: R01 HL070825 NHLBI NIH HHS, United States Grant ID: HHSN268201100009C NIMH NIH HHS, United States Grant ID: P50 MH103222 NCRR NIH HHS, United States Grant ID: U24 RR021992 NIDA NIH HHS, United States Grant ID: R00 DA023549 NIA NIH HHS, United States Grant ID: R01 AG033040 NCATS NIH HHS, United States Grant ID: UL1 TR000153 NIMH NIH HHS, United States Grant ID: R00 MH101367 NIMH NIH HHS, United States Grant ID: U24 MH068457 NIA NIH HHS, United States Grant ID: R56 AG058854 NHLBI NIH HHS, United States Grant ID: R01 HL084099 NIMH NIH HHS, United States Grant ID: K01 MH099232 NIMH NIH HHS, United States Grant ID: R01 MH079799 NHLBI NIH HHS, United States Grant ID: HHSN268201500001I NIBIB NIH HHS, United States Grant ID: R01 EB000840 Medical Research Council, United Kingdom Grant ID: G0701120 NHLBI NIH HHS, United States Grant ID: HHSN268201100005I NIA NIH HHS, United States Grant ID: R01 AG033193 NIMH NIH HHS, United States Grant ID: T32 MH067533 NCRR NIH HHS, United States Grant ID: M01 RR001066 NICHD NIH HHS, United States Grant ID: R01 HD050735 NHLBI NIH HHS, United States Grant ID: HHSN268201200036C NIBIB NIH HHS, United States Grant ID: U54 EB020403 NIMH NIH HHS, United States Grant ID: U01 MH108148 NIMH NIH HHS, United States Grant ID: R00 MH102357 Medical Research Council, United Kingdom Grant ID: MC_PC_15018 NIMH NIH HHS, United States Grant ID: R01 MH117601 NIA NIH HHS, United States Grant ID: R01 AG008122 NIDDK NIH HHS, United States Grant ID: P30 DK063491 NIDA NIH HHS, United States Grant ID: R01 DA027680 NIDA NIH HHS, United States Grant ID: R01 DA025109 NIMH NIH HHS, United States Grant ID: R01 MH058799 NIMH NIH HHS, United States Grant ID: R01 MH078143 NIDA NIH HHS, United States Grant ID: R01 DA031579 NIA NIH HHS, United States Grant ID: T32 AG058507 Medical Research Council, United Kingdom Grant ID: MR/N027558/1 NIDA NIH HHS, United States Grant ID: R37 DA018673 NHLBI NIH HHS, United States Grant ID: R01 HL105756 NHLBI NIH HHS, United States Grant ID: N01HC85086 NIMH NIH HHS, United States Grant ID: R01 MH078111 Medical Research Council, United Kingdom Grant ID: MR/K026992/1 NCRR NIH HHS, United States Grant ID: P41 RR014075 NCATS NIH HHS, United States Grant ID: UL1 TR000124 NIA NIH HHS, United States Grant ID: R01 AG018384 NIA NIH HHS, United States Grant ID: R01 AG049607 NHLBI NIH HHS, United States Grant ID: N01HC55222 NIMH NIH HHS, United States Grant ID: R01 MH085772 NIMH NIH HHS, United States Grant ID: R01 MH116147 NHGRI NIH HHS, United States Grant ID: U01 HG004402 Medical Research Council, United Kingdom Grant ID: MR/R024065/1 Medical Research Council, United Kingdom Grant ID: G1001245 NIA NIH HHS, United States Grant ID: P30 AG062429 NHLBI NIH HHS, United States Grant ID: R01 HL087652 NIMH NIH HHS, United States Grant ID: R01 MH111671 Medical Research Council, United Kingdom Grant ID: MR/M013111/1 CSRD VA, United States Grant ID: I01 CX000497 NHLBI NIH HHS, United States Grant ID: HHSN268201100011C NIBIB NIH HHS, United States Grant ID: R01 EB006841 NHLBI NIH HHS, United States Grant ID: R01 HL086694 Howard Hughes Medical Institute, United States NHLBI NIH HHS, United States Grant ID: HHSN268201100011I NIA NIH HHS, United States Grant ID: K99 AG054573 NIMH NIH HHS, United States Grant ID: R01 MH094524 NINDS NIH HHS, United States Grant ID: R01 NS087541 NIA NIH HHS, United States Grant ID: U01 AG024904 NHLBI NIH HHS, United States Grant ID: HHSN268200800007C NIBIB NIH HHS, United States Grant ID: R01 EB005846 NIA NIH HHS, United States Grant ID: K08 AG047903 NHLBI NIH HHS, United States Grant ID: U01 HL130114 NHLBI NIH HHS, United States Grant ID: R01 HL059367 NIDA NIH HHS, United States Grant ID: R01 DA033369 NHLBI NIH HHS, United States Grant ID: HHSN268201100008I NHLBI NIH HHS, United States Grant ID: HHSN268201100005G NIBIB NIH HHS, United States Grant ID: R01 EB015611 European Research Council, International NHLBI NIH HHS, United States Grant ID: HHSN268201500001C NIMH NIH HHS, United States Grant ID: RC2 MH089995 NHLBI NIH HHS, United States Grant ID: U01 HL080295 NHLBI NIH HHS, United States Grant ID: HHSN268201100008C NIA NIH HHS, United States Grant ID: R03 AG054936 NIA NIH HHS, United States Grant ID: U24 AG021886 NIA NIH HHS, United States Grant ID: R01 AG018386 NIA NIH HHS, United States Grant ID: R01 AG015928 NCRR NIH HHS, United States Grant ID: UL1 RR025005 NHLBI NIH HHS, United States Grant ID: HHSN268201100010C NIA NIH HHS, United States Grant ID: R01 AG022982 NIA NIH HHS, United States Grant ID: R01 AG016495 NIMH NIH HHS, United States Grant ID: R01 MH116948 NHLBI NIH HHS, United States Grant ID: R01 HL120393 NIA NIH HHS, United States Grant ID: R01 AG054076 NIMH NIH HHS, United States Grant ID: R01 MH081802 NIMH NIH HHS, United States Grant ID: K24 MH094614 NIA NIH HHS, United States Grant ID: RF1 AG041915 NINDS NIH HHS, United States Grant ID: R01 NS017950 NIA NIH HHS, United States Grant ID: R00 AG054573 NIDA NIH HHS, United States Grant ID: UG3 DA047685 NIMH NIH HHS, United States Grant ID: R01 MH062873 NIGMS NIH HHS, United States Grant ID: P20 GM103472 NIBIB NIH HHS, United States Grant ID: P41 EB015922 NHLBI NIH HHS, United States Grant ID: HHSN268201100009I NHLBI NIH HHS, United States Grant ID: R01 HL103612 NIMH NIH HHS, United States Grant ID: K08 MH068540 NINDS NIH HHS, United States Grant ID: R24 NS092988 NIMH NIH HHS, United States Grant ID: RC2 MH089951 NHLBI NIH HHS, United States Grant ID: HHSN268201100012C NHLBI NIH HHS, United States Grant ID: N01HC85082 More Less keyboard_arrow_down

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,018
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: Évaluation · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: aucune
Score de désaccord entre enseignants0,996
Score d'incertitude au seuil0,568

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,018
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0030,005
Études des sciences et des technologies0,0020,001
Communication savante0,0060,003
Science ouverte0,0020,002
Intégrité de la recherche0,0050,004
Charge utile insuffisante (le modèle a refusé de juger)0,6020,428

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,025
Tête enseignante GPT0,335
Écart entre enseignants0,310 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
DomaineÉvaluation
GenreJeu de données

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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