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Record W3155626750 · doi:10.18632/aging.202950

Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer’s disease etiopathogenesis

2021· article· en· W3155626750 on OpenAlexfundno aff
Laura Madrid, Sonia Moreno–Grau, Shahzad Ahmad, Antonio González-Pérez, Itziar de Rojas, Rui Xia, Pamela V. Martino Adami, Pablo García‐González, Luca Kleineidam, Qiong Yang, Vincent Damotte, Joshua C. Bis, Fuensanta Noguera-Perea, Céline Bellenguez, Xueqiu Jian, Juan Marín-Muñoz, Benjamin Grenier‐Boley, Adela Orellana, M. Arfan Ikram, Philippe Amouyel, Claudia L. Satizábal, Luís Miguel Real, Carmen Antúnez-Almagro, Anita L. DeStefano, Alfredo Cabrera‐Socorro, Rebecca Sims, Cornelia M. van Duijn, Eric Boerwinkle, Alfredo Ramı́rez, Myriam Fornage, Jean‐Charles Lambert, Julie Williams, Sudha Seshadri, Janina S. Ried, Agustı́n Ruiz, María Eugenia Sáez

Bibliographic record

VenueAging · 2021
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
FundersJanssen Alzheimer Immunotherapy Research And DevelopmentJohnson and Johnson Pharmaceutical Research and DevelopmentNational Human Genome Research InstituteNational Heart, Lung, and Blood InstituteNational Institute on AgingUniversitätsklinikum Hamburg-EppendorfEuropean Regional Development FundInstituto de Salud Carlos IIIMenzies Centre for Australian Studies, King's College London, University of LondonCambridge Institute for Medical Research, University of CambridgeNational Institutes of HealthNational Institute of Neurological Disorders and StrokeArizona Biomedical Research CommissionNational Institute of Diabetes and Digestive and Kidney DiseasesIXICODevelopment of Innovative Strategies for a Transdisciplinary approach to ALZheimer's diseaseCentro de Investigación Biomédica en Red sobre Enfermedades NeurodegenerativasUniversité Pierre et Marie CurieUniversity of BristolH. Lundbeck A/SMeso Scale DiagnosticsAgence Française de Sécurité Sanitaire des Produits de SantéSanofiFondation de FranceFonds Wetenschappelijk OnderzoekFondation pour la Recherche MédicaleBelgian Federal Science Policy OfficeUniversity College LondonAlbert-Ludwigs-Universität FreiburgInstitut National de la Santé et de la Recherche MédicaleMedical Research CouncilServierUniversität HeidelbergGenentechFondation pour la Recherche sur AlzheimerEuropean CommissionEU Joint Programme – Neurodegenerative Disease ResearchPfizerInstituto de Investigación Marqués de ValdecillaVlaamse regeringUniversity of OxfordEisaiUniversity of Southern CaliforniaWellcome TrustEli Lilly and CompanyBrigham Young UniversityCanadian Institutes of Health ResearchUniversity of SouthamptonUniversiteit AntwerpenNorthern California Institute for Research and EducationInstitute of GeneticsAgence Nationale de la RechercheBiogenBioClinicaAlzheimer's AssociationEuropean Federation of Pharmaceutical Industries and AssociationsArizona Department of Health ServicesF. Hoffmann-La RocheEmory UniversityCardiff UniversityU.S. Department of DefenseMutuelle Générale de l'Education NationaleBristol-Myers SquibbNational Center for Advancing Translational SciencesNovartis Pharmaceuticals CorporationAlzheimer's Disease Neuroimaging InitiativeRheinische Friedrich-Wilhelms-Universität Bonn
KeywordsApolipoprotein EDiseaseConcordanceAlleleGenome-wide association studyDementiaAlzheimer's diseaseBiologyOmicsComputational biologyBiomarkerBioinformaticsMedicineGeneticsGeneSingle-nucleotide polymorphismInternal medicineGenotype

Abstract

fetched live from OpenAlex

AD cases that could constitute screening tools for a disease that lacks specific blood biomarkers. Beside the identification of APOE-specific signatures, our findings advocate that this novel approach, based on the concordance across OMIC layers and tissues, is an effective strategy for overcoming the limitations of often underpowered single-OMICS studies.

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.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.037
GPT teacher head0.323
Teacher spread0.286 · 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 designObservational
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

Citations29
Published2021
Admission routes1
Has abstractyes

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