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Record W3119266093 · doi:10.1186/s13195-020-00754-8

Association between polygenic risk score of Alzheimer’s disease and plasma phosphorylated tau in individuals from the Alzheimer’s Disease Neuroimaging Initiative

2021· article· en· W3119266093 on OpenAlexaff
Anna Zettergren, Jodie Lord, Nicholas J. Ashton, Andréa L. Benedet, Thomas K. Karikari, Juan Lantero‐Rodriguez, Anniina Snellman, Marc Suárez‐Calvet, Petroula Proitsi, Henrik Zetterberg, Kaj Blennow

Bibliographic record

VenueAlzheimer s Research & Therapy · 2021
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcGill University
FundersMedical Research CouncilNational Institutes of HealthHjartaverndCentre hospitalier régional universitaire de LilleAlzheimerfondenHjärnfondenAlzheimer's Drug Discovery FoundationErasmus Medisch CentrumBundesministerium für Bildung und ForschungInstitut National de la Santé et de la Recherche MédicaleUniversité de LilleWellcome TrustNational Heart, Lung, and Blood InstituteVetenskapsrådetDevelopment of Innovative Strategies for a Transdisciplinary approach to ALZheimer's diseaseNational Institute on AgingAlzheimer's Association
KeywordsMedicineDementiaApolipoprotein EDiseaseBiomarkerAlzheimer's diseaseNeuroimagingNeurologyInternal medicineOncologyAlzheimer's Disease Neuroimaging InitiativePathologyPsychiatryBiology

Abstract

fetched live from OpenAlex

Abstract Background Recent studies suggest that plasma phosphorylated tau181 (p-tau181) is a highly specific biomarker for Alzheimer’s disease (AD)-related tau pathology. It has great potential for the diagnostic and prognostic evaluation of AD, since it identifies AD with the same accuracy as tau PET and CSF p-tau181 and predicts the development of AD dementia in cognitively unimpaired (CU) individuals and in those with mild cognitive impairment (MCI). Plasma p-tau181 may also be used as a biomarker in studies exploring disease pathogenesis, such as genetic or environmental risk factors for AD-type tau pathology. The aim of the present study was to investigate the relation between polygenic risk scores (PRSs) for AD and plasma p-tau181. Methods Data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) was used to examine the relation between AD PRSs, constructed based on findings in recent genome-wide association studies, and plasma p-tau181, using linear regression models. Analyses were performed in the total sample ( n = 818), after stratification on diagnostic status (CU ( n = 236), MCI ( n = 434), AD dementia ( n = 148)), and after stratification on Aβ pathology status (Aβ positives ( n = 322), Aβ negatives ( n = 409)). Results Associations between plasma p-tau181 and APOE PRSs ( p = 3e −18 –7e −15 ) and non- APOE PRSs ( p = 3e −4 –0.03) were seen in the total sample. The APOE PRSs were associated with plasma p-tau181 in all diagnostic groups (CU, MCI, and AD dementia), while the non- APOE PRSs were associated only in the MCI group. The APOE PRSs showed similar results in amyloid-β (Aβ)-positive and negative individuals ( p = 5e −5 –1e −3 ), while the non- APOE PRSs were associated with plasma p-tau181 in Aβ positives only ( p = 0.02). Conclusions Polygenic risk for AD including APOE was found to associate with plasma p-tau181 independent of diagnostic and Aβ pathology status, while polygenic risk for AD beyond APOE was associated with plasma p-tau181 only in MCI and Aβ-positive individuals. These results extend the knowledge about the relation between genetic risk for AD and p-tau181, and further support the usefulness of plasma p-tau181 as a biomarker of AD.

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 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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.110
GPT teacher head0.378
Teacher spread0.267 · 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.

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

Citations66
Published2021
Admission routes1
Has abstractyes

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