Evidence map›Paper›PMID 39347895›Full record

ArticleMolecular neurobiology2025

Identification of Potential Causal Genes for Neurodegenerative Diseases by Mitochondria-Related Genome-Wide Mendelian Randomization.

Kang-Fu Yin, Ting Chen, Xiao-Jing Gu, Zheng Jiang, Wei-Ming Su, Qing-Qing Duan, Xiang-Jin Wen, Bei Cao, Ju-Rong Li, Li-Yi Chi and 1 more

Abstract read
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In one paragraph

Article in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Transcriptomics and Proteomics Analysis of the Liver ofInternational journal of molecular sciences · 2025
    Article
  5. 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.

Kang-Fu Yin *Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Ting Chen *Department of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Xiao-Jing GuMental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Zheng JiangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Wei-Ming SuDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Qing-Qing DuanDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Xiang-Jin WenWest China School of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Bei CaoDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Ju-Rong LiDepartment of Geriatrics, Dazhou Central Hospital, Dazhou, 635000, Sichuan, China.
Li-Yi ChiDepartment of Neurology, First Affiliated Hospital of Air Force Military Medical University, Xi'an, 710072, Shaanxi, China.
Yong-Ping ChenDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China. yongping.chen@wchscu.cn.ORCID http://orcid.org/0000-0002-5603-4192

Funding

1·3·5 project for disciplines of excellence-Clinical Research Fund, West China Hospital, Sichuan University 2023HXFH032National Innovation and Entrepreneurship Training Program for College Students C2023124417National Key Research and Development Program of China 2022YFC2703101National Natural Science Fund of China 81971188National Natural Science Fund of Sichuan 2022NSFSC0749Science and Technology Bureau Fund of Sichuan Province 2023YFS0269
6 · The paper itself

Abstract

Current research lacks comprehensive investigations into the potential causal link between mitochondrial-related genes and the risk of neurodegenerative diseases (NDDs). We aimed to identify potential causative genes for five NDDs through an examination of mitochondrial-related gene expression levels. Through the integration of summary statistics from expression quantitative trait loci (eQTL) datasets (human blood and brain tissue), mitochondrial DNA copy number (mtDNA-CN), and genome-wide association studies (GWAS) datasets of five NDDs from European ancestry, we conducted a Mendelian randomization (MR) analysis to explore the potential causal relationship between mitochondrial-related genes and Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), and Lewy body dementia (LBD). Sensitivity analysis and Bayesian colocalization were employed to validate this causal relationship. Through MR analysis, we have identified potential causal relationships between 12 mitochondria-related genes and AD, PD, ALS, and FTD overlapping with motor neuron disease (FTD_MND) in human blood or brain tissue. Bayesian colocalization analysis further confirms 9 causal genes, including NDUFS2, EARS2, and MRPL41 for AD; NDUFAF2, MALSU1, and METTL8 for PD; MYO19 and MRM1 for ALS; and FASTKD1 for FTD_MND. Importantly, in both human blood and brain tissue, NDUFS2 exhibits a significant pathogenic effect on AD, while NDUFAF2 demonstrates a robust protective effect on PD. Additionally, the mtDNA-CN plays a protected role in LBD (OR = 0.62, p = 0.031). This study presents evidence establishing a causal relationship between mitochondrial dysfunction and NDDs. Furthermore, the identified candidate genes may serve as potential targets for drug development aimed at preventing NDDs.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyMendelian Randomization AnalysisMitochondriaNeurodegenerative DiseasesBayes TheoremDNA, MitochondrialHumansQuantitative Trait LociDNA, MitochondrialColocalizationMendelian randomizationMitochondrial dysfunctionNeurodegenerative diseases

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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.