Evidence map›Paper›PMID 39455528›Full record

ArticleInflammopharmacology2024

Identification of JAZF1, KNOP1, and PLEKHA1 as causally associated genes and drug targets for Alzheimer's disease: a summary data-based Mendelian randomization study.

Yuhan Zhai, Ning Li, Yujie Zhang, Haibin Li, Lijuan Wu, Cuibai Wei, Jianguang Ji, Deqiang Zheng

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Article in Inflammopharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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.

Yuhan Zhai *Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Ning Li *Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Yujie ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Haibin LiDepartment of Cardiac Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Lijuan WuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Cuibai Wei *Department of Neurology, Innovation Center for Neurological Disorders, Xuanwu Hospital, Capital Medical University, Beijing, China. chuibainews@126.com.
Jianguang Ji *Faculty of Health Science, University of Macau, Taipa, Macao SAR, China. Jianguangji@um.edu.mo.
Deqiang Zheng *Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China. dqzheng@ccmu.edu.cn.ORCID http://orcid.org/0000-0002-5659-5045

Funding

Beijing Municipal Health System Special Funds of High-Level Medical Personnel Construction 2022-3-042STI2030-Major Projects 2021ZD0201801STI2030-Major Projects 2021ZD0201802
6 · The paper itself

Abstract

backgroundThere is a growing body of evidence indicating the significant role of the immune system and immune cells in the progression of Alzheimer's disease (AD). However, the exact role of genes from various immune cell types in AD remains unclear. We aimed to utilize summary data-based Mendelian randomization (SMR) to explore the potential causal relationships between genes in specific immune cells and the risk of AD.

methodsBy utilizing data sets of expression quantitative trait loci (eQTL) for 14 different immune cell types and large-scale AD genome-wide association study (GWAS), we employed SMR to identify key genes associated with AD within specific immune cells. Sensitivity analyses, including F-statistic, colocalization, and assessment of horizontal pleiotropy, were further conducted to validate the discovered genes. In addition, replication analyses were performed in AD GWAS from the FinnGen consortium. Finally, we further identified existing drugs that target or interact with the druggable genes and reviewed the studies about the associations between these drugs and AD.

resultsSMR analysis revealed 342 genes associated with AD across 14 immune cell types. Further sensitivity analyses identified nine genes, CTSH, FCER1G, FNBP4, HLA-E, JAZF1, KNOP1, PLEKHA1, RP11-960L18.1, and ZNF638 that had significant associations with AD across nine specific immune cell types. JAZF1, KNOP1 and PLEKHA1 were replicated in an independent analysis using the GWAS data. The review on gene-related drugs also supported these findings.

conclusionsOur research suggests that the expression of the genes JAZF1, KNOP1, and PLEKHA1 in specific immune cell types is related to the risk of AD.

Indexed as

Alzheimer DiseaseCo-Repressor ProteinsGenome-Wide Association StudyMendelian Randomization AnalysisQuantitative Trait LociDNA-Binding ProteinsGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideCo-Repressor ProteinsDNA-Binding ProteinsJAZF1 protein, humanAlzheimer’s diseaseCausal associationImmune cellsSummary-data-based Mendelian randomization

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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.