MétaCan
Menu
Back to cohort
Record W2070582048 · doi:10.1001/jamaneurol.2014.1455

<i>APOE</i>,<i>MAPT</i>, and<i>SNCA</i>Genes and Cognitive Performance in Parkinson Disease

2014· article· he· W2070582048 on OpenAlexaboutno aff
Ignácio F. Mata, James B. Leverenz, Daniel Weintraub, John Q. Trojanowski, Howard I. Hurtig, Vivianna M. Van Deerlin, Beate Ritz, Rebecca Rausch, Shannon Rhodes, Stewart A. Factor, Cathy Wood‐Siverio, Joseph F. Quinn, Kathryn A. Chung, Amie Peterson, Alberto J. Espay, Fredy J. Revilla, Johnna Devoto, Shu-Ching Hu, Brenna Cholerton, Jia Y. Wan, Thomas J. Montine, Karen L. Edwards, Cyrus P. Zabetian

Bibliographic record

VenueJAMA Neurology · 2014
Typearticle
Languagehe
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesNational Cancer InstituteNational Institute of Neurological Disorders and StrokeNational Institute of Mental HealthNational Institute on AgingNational Institute of Environmental Health SciencesU.S. Department of Veterans Affairs
KeywordsVerbal fluency testPsychologyCognitionNeuropsychologyVerbal learningAudiologyRecallCognitive declineMontreal Cognitive AssessmentBonferroni correctionEpisodic memoryCognitive testEffects of sleep deprivation on cognitive performanceVerbal memoryPsychiatryDiseaseMedicineDementiaCognitive psychologyInternal medicineCognitive impairment

Abstract

fetched live from OpenAlex

IMPORTANCE: Cognitive impairment is a common and disabling problem in Parkinson disease (PD) that is not well understood and is difficult to treat. Identification of genetic variants that influence the rate of cognitive decline or pattern of early cognitive deficits in PD might provide a clearer understanding of the etiopathogenesis of this important nonmotor feature. OBJECTIVE: To determine whether common variation in the APOE, MAPT, and SNCA genes is associated with cognitive performance in patients with PD. DESIGN, SETTING, AND PARTICIPANTS: We studied 1079 PD patients from 6 academic centers in the United States who underwent assessments of memory (Hopkins Verbal Learning Test-Revised [HVLT-R]), attention and executive function (Letter-Number Sequencing Test and Trail Making Test), language processing (semantic and phonemic verbal fluency tests), visuospatial skills (Benton Judgment of Line Orientation test), and global cognitive function (Montreal Cognitive Assessment). Participants underwent genotyping for the APOE ε2/ε3/ε4 alleles, MAPT H1/H2 haplotypes, and SNCA rs356219. We used linear regression to test for association between genotype and baseline cognitive performance with adjustment for age, sex, years of education, disease duration, and site. We used a Bonferroni correction to adjust for the 9 comparisons that were performed for each gene. MAIN OUTCOMES AND MEASURES: Nine variables derived from 7 psychometric tests. RESULTS: The APOE ε4 allele was associated with lower performance on the HVLT-R Total Recall (P = 6.7 × 10(-6); corrected P [Pc] = 6.0 × 10(-5)), Delayed Recall (P = .001; Pc = .009), and Recognition Discrimination Index (P = .004; Pc = .04); a semantic verbal fluency test (P = .002; Pc = .02); the Letter-Number Sequencing Test (P = 1 × 10(-5); Pc = 9 × 10(-5)); and Trail Making Test B minus Trail Making Test A (P = .002; Pc = .02). In a subset of 645 patients without dementia, the APOE ε4 allele was associated with lower scores on the HVLT-R Total Recall (P = .005; Pc = .045) and the semantic verbal fluency (P = .005; Pc = .045) measures. Variants of MAPT and SNCA were not associated with scores on any tests. CONCLUSIONS AND RELEVANCE: Our data indicate that the APOE ε4 allele is an important predictor of cognitive function in PD across multiple domains. Among PD patients without dementia, the APOE ε4 allele was only associated with lower performance on word list learning and semantic verbal fluency, a pattern more typical of the cognitive deficits seen in early Alzheimer disease than PD.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.236
Teacher spread0.225 · 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

Citations210
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJAMA NeurologySame topicParkinson's Disease Mechanisms and TreatmentsFrench-language works237,207