Evidence map›Paper›PMID 30675927›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2019

The endocytic membrane trafficking pathway plays a major role in the risk of Parkinson's disease.

Sara Bandres-Ciga, Sara Saez-Atienzar, Luis Bonet-Ponce, Kimberley Billingsley, Dan Vitale, Cornelis Blauwendraat, Jesse Raphael Gibbs, Lasse Pihlstrøm, Ziv Gan-Or, International Parkinson's Disease Genomics Consortium (IPDGC) and 3 more

Abstract read
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. Intracellular and Extracellular Vesicle miRNA Signatures in Human iPSC-Derived Neural Stem Cells and Floor Plate Progenitors.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Sara Bandres-CigaMolecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Sara Saez-AtienzarTransgenics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Luis Bonet-PonceCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Kimberley BillingsleyMolecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Dan VitaleComputational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Cornelis BlauwendraatMolecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Jesse Raphael GibbsComputational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Lasse PihlstrømDepartment of Neurology, Oslo University Hospital, Oslo, Norway.
Ziv Gan-OrDepartment of Neurology and Neurosurgery, Department of Human Genetics, McGill University, Montréal, Quebec, Canada.ORCID 0000-0003-0332-234X
International Parkinson's Disease Genomics Consortium (IPDGC)
Mark R CooksonCell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Mike A NallsMolecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.
Andrew B SingletonMolecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA.

Funding

Leucine rich repeat kinase 2 and dominantly inherited Parkinson diseaseZIAAG000948 · NIA · NATIONAL INSTITUTE ON AGING · PI COOKSON, MARK · 2009 to 2025
$18.3M
Genetic characterization of atypical parkinsonismZIANS003154 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI SCHOLZ, SONJA · 2016 to 2025
$15.4M
Genome wide SNP analysis in Parkinson's diseaseZIAAG000949 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW · 2009 to 2024
$12.6M
Assessment of Candidate Loci in Neurological diseasesZIAAG000957 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW · 2009 to 2024
$12.2M
Genome wide SNP analysis in Parkinson's diseaseZ01AG000949 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW B · 2006 to 2008
$2.6M
Prospective studies on Parkinson's diseaseZ01ES101986 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI CHEN, HONGLEI · 2006 to 2008
$1.2M
Intramural NIH HHS Z01 AG000949Intramural NIH HHS Z01 ES101986Intramural NIH HHS ZIA NS003154Medical Research Council G0701075Medical Research Council G0901254Medical Research Council MR/K01417X/1Medical Research Council MR/L501542/1Medical Research Council MR/N026004/1Michael J Fox FoundationNIH HHS 1ZIA-NS003154NIH HHS Z01-AG000949-02NIH HHS Z01-ES101986Parkinson's UK G-0907U.S. Department of Defense W81XWH-09-2-0128
6 · The paper itself

Abstract

backgroundPD is a complex polygenic disorder. In recent years, several genes from the endocytic membrane-trafficking pathway have been suggested to contribute to disease etiology. However, a systematic analysis of pathway-specific genetic risk factors is yet to be performed.

objectivesTo comprehensively study the role of the endocytic membrane-trafficking pathway in the risk of PD.

methodsLinkage disequilibrium score regression was used to estimate PD heritability explained by 252 genes involved in the endocytic membrane-trafficking pathway including genome-wide association studies data from 18,869 cases and 22,452 controls. We used pathway-specific single-nucleotide polymorphisms to construct a polygenic risk score reflecting the cumulative risk of common variants. To prioritize genes for follow-up functional studies, summary-data based Mendelian randomization analyses were applied to explore possible functional genomic associations with expression or methylation quantitative trait loci.

resultsThe heritability estimate attributed to endocytic membrane-trafficking pathway was 3.58% (standard error = 1.17). Excluding previously nominated PD endocytic membrane-trafficking pathway genes, the missing heritability was 2.21% (standard error = 0.42). Random heritability simulations were estimated to be 1.44% (standard deviation = 0.54), indicating that the unbiased total heritability explained by the endocytic membrane-trafficking pathway was 2.14%. Polygenic risk score based on endocytic membrane-trafficking pathway showed a 1.25 times increase of PD risk per standard deviation of genetic risk. Finally, Mendelian randomization identified 11 endocytic membrane-trafficking pathway genes showing functional consequence associated to PD risk.

conclusionsWe provide compelling genetic evidence that the endocytic membrane-trafficking pathway plays a relevant role in disease etiology. Further research on this pathway is warranted given that critical effort should be made to identify potential avenues within this biological process suitable for therapeutic interventions. © 2019 International Parkinson and Movement Disorder Society.

Indexed as

EndocytosisGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisParkinson DiseasePolymorphism, Single NucleotideQuantitative Trait LociRisk Factorsendocytosisgenetic riskheritabilityParkinson's diseasepolygenic risk score

Identifiers

PMID30675927
PMCPMC6467788

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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.