Evidence map›Paper›PMID 34951095›Full record

ArticleEuropean journal of neurology2022

Prevalence and genotype-phenotype correlations of GBA-related Parkinson disease in a large Chinese cohort.

Jingru Ren, Ronggui Zhang, Chenxi Pan, Jianxia Xu, Haochen Sun, Ping Hua, Li Zhang, Wenbin Zhang, Pingyi Xu, Changyan Ma and 1 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  7. Cortical and subcortical morphological alterations inFrontiers in aging neuroscience · 2026
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  8. Autophagy-lysosomal pathway in neurodegeneration.Molecular neurodegeneration advances · 2026
    Review
  9. Review
  10. Article
  11. Review
  12. Consensus Guidance for Genetic Counseling in GBA1 Variants: A Focus on Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2024
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Association ofFrontiers in aging neuroscience · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Jingru RenDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0002-9186-6621
Ronggui ZhangDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Chenxi PanDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Jianxia XuDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Haochen SunDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Ping HuaDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Li ZhangDepartment of Geriatrics, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Wenbin ZhangDepartment of Neurosurgery, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.
Pingyi XuDepartment of Neurology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Changyan MaDepartment of Medical Genetics, Nanjing Medical University, Nanjing, China.
Weiguo LiuDepartment of Neurology, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0001-5916-9837
Nanjing Brain Hospital · CNFirst Affiliated Hospital of Guangzhou Medical University · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeVariants in the glucocerebrosidase (GBA) gene are recognized as a common and important genetic risk factor for Parkinson disease (PD). However, the impact of variant severity on the clinical phenotype of PD in the Chinese population remains unclear. Thus, the present study aimed to determine the frequency of GBA-related PD (GBA-PD) and the relationship of GBA variant severity with clinical characteristics in a large Chinese cohort.

methodsLong-range polymerase chain reaction and next generation sequencing were performed for the entire GBA gene. GBA variant severity was classified into five classes: mild, severe, risk, complex, and unknown.

resultsAmong the total 737 PD patients, 47 GBA variants were detected in 79 (10.72%) patients, and the most common GBA variants were R163Q, L444P, and R120W. Complete demographic and clinical data were obtained for 673 patients, which revealed that 18.50% of early onset PD patients had GBA variants. Compared with patients without GBA variants, GBA-PD patients experienced PD onset an average of 4 years earlier and had more severe motor and nonmotor symptoms. Patients carrying severe and complex variants had a higher burden of nonmotor symptoms, especially depression, and more mood/cognitive and gastrointestinal symptoms than patients carrying mild variants.

conclusionsGBA-PD is highly prevalent in the Chinese population. The severity of GBA variants underlies distinct phenotypic spectrums, with PD patients carrying severe and complex variants seeming to have similar phenotypes. PD patient stratification by GBA variant severity should become a prerequisite for selecting specific treatments.

Indexed as

GlucosylceramidaseParkinson DiseaseChinaGenetic Association StudiesGenetic Predisposition to DiseaseHumansMutationPrevalenceGlucosylceramidaseGBAgenotype-phenotype correlationsParkinson diseaseprevalence

Identifiers

PMID34951095
PMCPMC9303336
OpenAlexW4200315237

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.