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Record W2143688669 · doi:10.1001/archneurol.2010.95

Predictors of Parkin Mutations in Early-Onset Parkinson Disease

2010· article· en· W2143688669 on OpenAlexfundno aff
Karen Marder, Ming Tang, Helen Mejia‐Santana, Llency Rosado, Elan D. Louis, Cynthia L. Comella, Amy Colcher, Andrew Siderowf, Danna Jennings, Martha Nance, Susan Bressman, William K. Scott, Caroline M. Tanner, Susan F. Mickel, Howard Andrews, Cheryl Waters, Stanley Fahn, Barbara M. Ross, Lucien Côté, Steven J. Frucht, Blair Ford, Roy N. Alcalay, Michael Rezak, Kevin Novak, Joseph H. Friedman, Ronald F. Pfeiffer, Laura Marsh, Brad Hiner, G. Neils, Miguel Verbitsky, Sergey Kisselev, Elise Caccappolo, Ruth Ottman, Lorraine N. Clark

Bibliographic record

VenueArchives of Neurology · 2010
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesNational Institutes of HealthACADIA PharmaceuticalsEisaiValeant Pharmaceuticals InternationalGlaxoSmithKlineNational Institute of Neurological Disorders and StrokeTeva Pharmaceutical IndustriesParkinson's Disease FoundationNational Institute on AgingEli Lilly and CompanyPfizerNational Center for Research ResourcesEMD Serono
KeywordsParkinCompound heterozygosityMedicineOdds ratioHeterozygote advantageInternal medicineConfidence intervalAge of onsetFamily historyMutationGeneticsAlleleParkinson's diseaseDiseaseBiologyGene

Abstract

fetched live from OpenAlex

BACKGROUND: Mutations in the parkin gene are the most common genetic cause of early-onset Parkinson disease (PD). Results from a multicenter study of patients with PD systematically sampled by age at onset have not been reported to date. OBJECTIVE: To determine risk factors associated with carrying parkin mutations. DESIGN: Cross-sectional observational study. SETTING: Thirteen movement disorders centers. PARTICIPANTS: A total of 956 patients with early-onset PD, defined as age at onset younger than 51 years. MAIN OUTCOME MEASURES: Presence of heterozygous, homozygous, or compound heterozygous parkin mutations. RESULTS: Using a previously validated interview, 14.7% of patients reported a family history of PD in a first-degree relative. Sixty-four patients (6.7%) had parkin mutations (3.9% heterozygous, 0.6% homozygous, and 2.2% compound heterozygous). Copy number variation was present in 52.3% of mutation carriers (31.6% of heterozygous, 83.3% of homozygous, and 81.0% of compound heterozygous). Deletions in exons 3 and 4 and 255delA were common among Hispanics (specifically Puerto Ricans). Younger age at onset (<40 years) (odds ratio [OR], 5.0; 95% confidence interval [CI], 2.8-8.8; P = .001), Hispanic race/ethnicity (OR compared with white non-Hispanic race/ethnicity, 2.7; 95% CI, 1.3-5.7; P = .009), and family history of PD in a first-degree relative (OR compared with noncarriers, 2.8; 95% CI, 1.5-5.3; P = .002) were associated with carrying any parkin mutation (heterozygous, homozygous, or compound heterozygous). Hispanic race/ethnicity was associated with carrying a heterozygous mutation (OR compared with white non-Hispanic race/ethnicity, 2.8; 95% CI, 1.1-7.2; P = .03) after adjustment for covariates. CONCLUSIONS: Age at onset, Hispanic race/ethnicity, and family history of PD are associated with carrying any parkin mutation (heterozygous, homozygous, or compound heterozygous) and heterozygous mutations alone. The increased odds of carrying a parkin mutation among Hispanics warrants further study.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.423

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.252
Teacher spread0.242 · 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.

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

Citations97
Published2010
Admission routes1
Has abstractyes

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