Evidence map›Paper›PMID 34712594›Full record

ArticleToxicology reports2021

Replication of chromosomal loci involved in Parkinson's disease: A quantitative synthesis of GWAS.

Dimitrios Rikos, Vasileios Siokas, Tatyana I Burykina, Nikolaos Drakoulis, Efthimios Dardiotis, Elias Zintzaras

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxicology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 4 institutions in 3 countries.

Dimitrios RikosDepartment of Neurology, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, Larissa, Greece.
Vasileios SiokasDepartment of Neurology, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, Larissa, Greece.
Tatyana I BurykinaDepartment of Analytical and Forensic Medical Toxicology, Sechenov University, 119048 Moscow, Russian Federation.
Nikolaos DrakoulisResearch Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 17551 Athens, Greece.
Efthimios DardiotisDepartment of Neurology, University Hospital of Larissa, Faculty of Medicine, University of Thessaly, Larissa, Greece.
Elias ZintzarasDepartment of Biomathematics, Faculty of Medicine, University of Thessaly Larissa, Greece.
University of Thessaly · GRNational and Kapodistrian University of Athens · GRSechenov University · RUTufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionParkinson's disease is a neurodegenerative disorder with a complex etiology coming from interactions between genetic and environmental factors. Research on Parkinson's disease genetics has been an effortful struggle, while new technologies and novel study designs served as indispensable boosters. Until now, 90 loci and 20 disease-causing gene mutations have been identified. In this study we describe a novel non-parametric approach to GWAS meta-analysis and its application in PD genetics.

methodsA literature search was conducted to identify Genome-Wide Association Studies (GWAS) regarding Parkinson's disease. We applied predefined inclusion criteria and extracted the reported SNPs and their respective position and statistical significance. We divided all chromosomes in approximately equal genetic distance segments called bins and recorded the most significant SNP from each bin and each study and ranked them in terms of their

resultsFive-hundred and forty-three SNPs and their respective

conclusionThis is the first time a non-parametric method is applied in GWAS meta-analysis. The results add some insight on the overall understanding of Parkinson's disease genetics and serve as a first step of further convergent analysis with Genome-wide linkage studies.

Indexed as

GWASHeterogeneityMeta-analysisMETRADISC-XLParkinson’s disease

Identifiers

PMID34712594
PMCPMC8528647
OpenAlexW3206269306

What OpenQuestion holds

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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.