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Record W1804978452 · doi:10.1002/mds.21832

The G2019S <i>LRRK2</i> mutation in Brazilian patients with Parkinson's disease: Phenotype in monozygotic twins

2007· article· en· W1804978452 on OpenAlexaff
Renato P. Munhoz, Yosuke Wakutani, Connie Marras, Hélio A.G. Teive, Salmo Raskin, Lineu César Werneck, Danielle Moreno, Christine Sato, Anthony E. Lang, Ekaterina Rogaeva

Bibliographic record

VenueMovement Disorders · 2007
Typearticle
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsUniversity Health NetworkToronto Western HospitalOccupational Cancer Research CentreUniversity of Toronto
FundersNational Parkinson Foundation
KeywordsLRRK2PenetranceProbandAge of onsetMutationDiseaseFamily historyGeneticsSiblingPopulationPhenotypeMonozygotic twinMedicineBiologyInternal medicinePsychologyGeneDevelopmental psychology

Abstract

fetched live from OpenAlex

Mutations in the Leucine-Rich Repeat Kinase 2 gene (LRRK2) are mainly responsible for idiopathic Parkinson's disease (PD) with either a dominant pattern of transmission or a sporadic occurrence due to the reduced penetrance. A majority of LRRK2 kindreds demonstrate an extremely variable age-at-onset in affected members of the same family. The G2019S is the most common LRRK2 mutation, which accounts for 1-5% PD patients in North America, and up to 40% of patients from an isolated Arab population. We assessed the frequency of the G2019S mutation in 83 Brazilian PD patients originally preselected for having an early age-at-onset (<50 years) and/or a positive family history. The mutation was detected in three probands (3.5%). Our clinical findings in these kindreds include the first description of the phenotype in identical twins discordant for handedness (a general phenomenon found in approximately 25% monozygotic twins). However, both twins developed right asymmetric PD. The clinical presentation of twins was strikingly similar including an identical PD onset at age 60. This observation may suggest that genetic factors predominantly determine age-at-onset.

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 score0.036
Threshold uncertainty score0.675

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 head0.005
GPT teacher head0.227
Teacher spread0.222 · 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

Citations22
Published2007
Admission routes1
Has abstractyes

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