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Record W3112496145 · doi:10.1101/2020.12.11.20243402

Analysis of PTRHD1 common and rare variants in European patients with Parkinson’s disease

2020· preprint· en· W3112496145 on OpenAlexafffund
Yuri L. Sosero, Sara Bandrés‐Ciga, Ziv Gan‐Or, Lynne Krohn

Bibliographic record

VenuemedRxiv · 2020
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
FundersNational Institute of Environmental Health SciencesParkinson CanadaNational Institute on AgingNational Institute of Neurological Disorders and StrokeVerily Life SciencesCelgenePfizerNational Institutes of HealthU.S. Department of Health and Human ServicesFonds de Recherche du Québec - SantéMichael J. Fox Foundation for Parkinson's ResearchFoundation for the National Institutes of HealthU.S. Department of Defense
KeywordsGenome-wide association studyGenotypingParkinsonismGenetic associationDiseaseGeneticsLRRK2Single-nucleotide polymorphismParkinson's diseaseMedicineGeneBiologyBioinformaticsInternal medicineGenotype

Abstract

fetched live from OpenAlex

Abstract Three family studies identified three different variants in the peptidyl-tRNA hydrolase domain containing 1 gene ( PTRHD1 ) in patients affected by syndromic parkinsonism. In the current study, our objective was to investigate whether PTRHD1 variants are associated with Parkinson’s disease (PD) risk and age at onset (AAO). To evaluate the association between PTRHD1 and PD risk, we analyzed whole genome sequencing (WGS) data of 1,647 PD cases and 1,050 healthy controls, as well as genome-wide imputed genotyping data on 14,671 PD cases and 17,667 controls, all of European ancestry. Furthermore, we examined the association of PTRHD1 with PD risk and AAO using summary statistics data from the most recent PD genome-wide association study (GWAS) meta-analyses. Our results show no association between PTRHD1 and PD risk or AAO. We conclude that PTRHD1 does not play a major role in PD in the European population. Further large-scale studies including subjects with different ancestry and family trios might further clarify the relationship of this gene with PD and atypical parkinsonism.

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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.236
Teacher spread0.224 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

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