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Record W2969625623 · doi:10.1101/738351

Genetic modifiers of risk and age at onset in <i>GBA</i> associated Parkinson’s disease and Lewy body dementia

2019· preprint· en· W2969625623 on OpenAlexafffund
Cornelis Blauwendraat, Xylena Reed, Lynne Krohn, Karl Heilbron, Sara Bandrés‐Ciga, Manuela Tan, J. Raphael Gibbs, Dena G. Hernandez, Ravindran Kumaran, Rebekah G. Langston, Luis Bonet Ponce, Roy N. Alcalay, Sharon Hassin‐Baer, Lior Greenbaum, Hirotaka Iwaki, Hampton L. Leonard, Francis P. Grenn, Jennifer A. Ruskey, Marya S. Sabir, Sarah Ahmed, Mary B. Makarious, Lasse Pihlstrøm, Mathias Toft, Jacobus J. van Hilten, Johan Marinus, Claudia Schulte, Kathrin Brockmann, Manu Sharma, Ari Siitonen, Kari Majamaa, Johanna Eerola‐Rautio, Pentti J. Tienari, Alexander Pantelyat, Argye E. Hillis-Trupe, Ted M. Dawson, Liana S. Rosenthal, Marilyn S. Albert, Susan M. Resnick, Luigi Ferrucci, Christopher M. Morris, Olga Pletniková, Juan C. Troncoso, Donald G. Grosset, Suzanne Lesage, Jean‐Christophe Corvol, Alexis Brice, Alastair J. Noyce, Eliezer Masliah, John Hardy, Lisa M. Shulman, Joseph Jankovic, Joshua Shulman, Peter Heutink, Thomas Gasser, Paul Cannon, Sonja W. Scholz, Huw R. Morris, Mark Cookson, Mike A. Nalls, Ziv Gan‐Or, Andrew Singleton

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldMedicine
TopicLysosomal Storage Disorders Research
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
FundersNational Institute of Environmental Health SciencesNational Institute of Neurological Disorders and StrokeNational Institute on AgingCanada First Research Excellence FundConsortium canadien en neurodégénérescence associée au vieillissementMcGill UniversityMichael J. Fox Foundation for Parkinson's ResearchNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsGlucocerebrosidaseLewy bodyDementiaParkinson's diseaseDiseaseGenetic associationLRRK2Single-nucleotide polymorphismGeneticsGenome-wide association studyAlleleCase-control studyBiologyMedicineGeneInternal medicineGenotype

Abstract

fetched live from OpenAlex

Abstract Parkinson’s disease (PD) is a genetically complex disorder. Multiple genes have been shown to contribute to the risk of PD, and currently 90 independent risk variants have been identified by genome-wide association studies. Thus far, a number of genes (including SNCA , LRRK2 , and GBA ) have been shown to contain variability across a spectrum of frequency and effect, from rare, highly penetrant variants to common risk alleles with small effect sizes. Variants in GBA , encoding the enzyme glucocerebrosidase, are associated with Lewy body diseases such as PD and Lewy body dementia (LBD). These variants, which reduce or abolish enzymatic activity, confer a spectrum of disease risk, from 1.4- to >10-fold. An outstanding question in the field is what other genetic factors that influence GBA -associated risk for disease, and whether these overlap with known PD risk variants. Using multiple, large case-control datasets, totalling 217,165 individuals (22,757 PD cases, 13,431 PD proxy cases, 622 LBD cases and 180,355 controls), we identified 1,772 PD cases, 711 proxy cases and 7,624 controls with a GBA variant (p.E326K, p.T369M or p.N370S). We performed a genome-wide association study and analysed the most recent PD-associated genetic risk score to detect genetic influences on GBA risk and age at onset. We attempted to replicate our findings in two independent datasets, including the personal genetics company 23andMe, Inc. and whole-genome sequencing data. Our analysis showed that the overall PD genetic risk score modifies risk for disease and decreases age at onset in carriers of GBA variants. Notably, this effect was consistent across all tested GBA risk variants. Dissecting this signal demonstrated that variants in close proximity to SNCA and CTSB (encoding cathepsin B) are the most significant contributors. Risk variants in the CTSB locus were identified to decrease mRNA expression of CTSB . Additional analyses suggest a possible genetic interaction between GBA and CTSB and GBA p.N370S neurons were shown to have decreased Cathepsin B expression compared to controls. These data provide a genetic basis for modification of GBA -associated PD risk and age at onset and demonstrate that variability at genes implicated in lysosomal function exerts the largest effect on GBA associated risk for disease. Further, these results have important implications for selection of GBA carriers for therapeutic interventions.

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)0.003
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.013
GPT teacher head0.235
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 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".

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Citations1
Published2019
Admission routes2
Has abstractyes

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