Evidence map›Paper›PMID 31758346›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2020

Association between alpha-synuclein (SNCA) rs11931074 variability and susceptibility to Parkinson's disease: an updated meta-analysis of 41,811 patients.

Bingying Du, Qiang Xue, Caiquan Liang, Cunxiu Fan, Meng Liang, Yanbo Zhang, Xiaoying Bi, Lijun Hou

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Association of synuclein alpha (Quantitative imaging in medicine and surgery · 2024
    Article
  4. Article
  5. Article
  6. 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

8 authors at 2 institutions in 2 countries.

Bingying DuDepartment of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China.
Qiang XueDepartment of Neurosurgery, Shanghai Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China.
Caiquan LiangDepartment of Otolaryngology-Head and Neck Surgery, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Cunxiu FanDepartment of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China.
Meng LiangDepartment of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China.
Yanbo ZhangDepartment of Psychiatry, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Xiaoying BiDepartment of Neurology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China. bixiaoying2013@163.com.ORCID http://orcid.org/0000-0001-5784-7294
Lijun HouDepartment of Neurosurgery, Shanghai Neurosurgical Institute, Changzheng Hospital, Second Military Medical University, Shanghai, China. lijunhou@smmu.com.cn.ORCID http://orcid.org/0000-0001-9877-1599
Second Military Medical University · CNUniversity of Saskatchewan · CA

Funding

the National Natural Science Foundation of China 81571299
6 · The paper itself

Abstract

BACKGROUND AND

objectivesParkinson's disease (PD) is one of the most common forms of neurodegenerative disorders, and its etiology remains unclear. Single nucleotide polymorphisms (SNPs) of alpha-synuclein (SNCA) have been found to be significantly associated with PD risk. In particular, the variant rs11931074 was found in one meta-analysis to appear to play a role in the occurrence of PD. This finding has been questioned in subsequent studies, however. The aim of this study was to determine the relationship between PD risk and rs11931074 polymorphism.

methodsWe performed a systematic online search, including PubMed, Web of Science, EMBASE, Cochrane Library, and CNKI (China National Knowledge Infrastructure), aiming to identify case-control studies looking at the role of rs11931074 in PD. We performed calculations of pooled odds ratio (OR) and 95% confidence interval (95% CI) to assess the associations, and subgroup meta-analyses to verify differences between various ethnicities of different study populations.

resultsA total of 13 studies involving 13,403 cases and 28,408 controls met the inclusion criteria after assessment by two reviewers. Overall, there exists significant associations between SNCA rs11931074 polymorphism and the risk of PD under five genetic models (allele contrast model: T vs. G, OR = 1.28, 95% CI = 1.12-1.45, P = 0.0001; homozygote model: TG vs. GG, OR = 1.55, 95% CI = 1.17-2.05, P = 0.002; heterozygote model (TT vs. GG, OR = 1.23, 95% CI = 1.05-1.42, P = 0.009; dominant model: TG+TT vs. GG: OR = 1.25, 95% CI = 1.05-1.50, P = 0.01 and recessive model: TT vs. TG+GG: OR = 1.40, 95% CI = 1.18-1.68, P = 0.0002). When ethnicities were stratified, significant associations were found in the allelic, homozygote, and recessive models for Asians, and in the allelic model for Caucasians.

conclusionSNCA rs11931074 polymorphism is found to be associated with PD risk and this risk appears to be influenced by genetic status and ethnicity.

Indexed as

alpha-SynucleinGene ExpressionGenetic Predisposition to DiseaseHumansParkinson DiseasePolymorphism, Single Nucleotidealpha-SynucleinSNCA protein, humanMeta-analysisParkinson’s diseasePolymorphismSNCA

Identifiers

PMID31758346
OpenAlexW2990133395

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.