Evidence map›Paper›PMID 28749816›Full record

SynthesisNeuroreport2017

Associations of rs823128, rs1572931, and rs823156 polymorphisms with reduced Parkinson's disease risks.

Ye Bai, Lihong Dong, Xinghua Huang, Shuanglin Zheng, Ping Qiu, Fenghua Lan

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Neuroreport, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% 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, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Alzheimer's Disease-Associated SNP rs708727 inInternational journal of molecular sciences · 2022
    Article
  4. SNPs rs11240569, rs708727, and rs823156 inInternational journal of molecular sciences · 2019
    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

6 authors at 2 institutions in 2 countries.

Ye BaiaDepartment of Clinical Genetics and Experimental Medicine, Fuzhou General Hospital bDepartment of Clinical Genetics and Experimental Medicine, Affiliated Dongfang Hospital of Xiamen University, Fuzhou, China.
Lihong Dong
Xinghua Huang
Shuanglin Zheng
Ping Qiu
Fenghua Lan
Fuzhou General Hospital of Nanjing Military Command · CNXiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The PARK16 locus is considered to play a protective role in Parkinson's disease (PD). However, the epidemiological evidence on the relationships between PARK16 single-nucleotide polymorphisms (rs823128, rs1572931, and rs823156) and PD is inconsistent. Therefore, we carried out a meta-analysis to validate the relationships and performed a bioinformatic analysis to explore putative regulation mechanisms of the single-nucleotide polymorphisms in PD. Through meta-analysis, we confirmed that minor variants of rs823128A>G, rs1572931C>T, and rs823156A>G played protective roles in PD. Through bioinformatic analysis, we predicted that rs823128, rs1572931, and rs823156 as noncoding variants of NUCKS1, RAB29, and SLC41A1, respectively, might affect PD risk by altering the transcription factor-binding capability of the genes. These findings suggest new clues for PD research and potential targets for PD prevention and treatment.

Indexed as

Genetic LociPolymorphism, Single NucleotideCation Transport ProteinsComputational BiologyHumansNeuroprotectionNuclear ProteinsParkinson DiseasePhosphoproteinsrab1 GTP-Binding Proteinsrab GTP-Binding ProteinsRiskCation Transport ProteinsNUCKS1 protein, humanNuclear ProteinsPhosphoproteinsrab1 GTP-Binding ProteinsRab29 protein, humanrab GTP-Binding ProteinsSLC41A1 protein, human

Identifiers

PMID28749816
PMCPMC5585133
OpenAlexW2740757041

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.