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Genome-wide analyses identify NEAT1 as genetic modifier of age at onset of amyotrophic lateral sclerosis

BACKGROUND: Patients with amyotrophic lateral sclerosis (ALS) demonstrate great heterogeneity in the age at onset (AAO), which is closely related to the course of disease. However, most genetic studies focused on the risk of ALS, while the genetic background underlying AAO of ALS is still unknown. M...

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Autores principales: Li, Chunyu, Wei, Qianqian, Hou, Yanbing, Lin, Junyu, Ou, Ruwei, Zhang, Lingyu, Jiang, Qirui, Xiao, Yi, Liu, Kuncheng, Chen, Xueping, Yang, TianMi, Song, Wei, Zhao, Bi, Wu, Ying, Shang, Huifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594666/
https://www.ncbi.nlm.nih.gov/pubmed/37872557
http://dx.doi.org/10.1186/s13024-023-00669-6
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author Li, Chunyu
Wei, Qianqian
Hou, Yanbing
Lin, Junyu
Ou, Ruwei
Zhang, Lingyu
Jiang, Qirui
Xiao, Yi
Liu, Kuncheng
Chen, Xueping
Yang, TianMi
Song, Wei
Zhao, Bi
Wu, Ying
Shang, Huifang
author_facet Li, Chunyu
Wei, Qianqian
Hou, Yanbing
Lin, Junyu
Ou, Ruwei
Zhang, Lingyu
Jiang, Qirui
Xiao, Yi
Liu, Kuncheng
Chen, Xueping
Yang, TianMi
Song, Wei
Zhao, Bi
Wu, Ying
Shang, Huifang
author_sort Li, Chunyu
collection PubMed
description BACKGROUND: Patients with amyotrophic lateral sclerosis (ALS) demonstrate great heterogeneity in the age at onset (AAO), which is closely related to the course of disease. However, most genetic studies focused on the risk of ALS, while the genetic background underlying AAO of ALS is still unknown. METHODS: To identify genetic determinants influencing AAO of ALS, we performed genome-wide association analysis using a Cox proportional hazards model in 2,841 patients with ALS (N(discovery) = 2,272, N(replication) = 569) in the Chinese population. We further conducted colocalization analysis using public cis-eQTL dataset, and Mendelian randomization analysis to identify risk factors for AAO of ALS. Finally, functional experiments including dual-luciferase reporter assay and RT-qPCR were performed to explore the regulatory effect of the target variant. RESULTS: The total heritability of AAO of ALS was ~ 0.24. One novel locus rs10128627 (FRMD8) was significantly associated with earlier AAO by ~ 3.15 years (P = 1.54E-08, beta = 0.31, SE = 0.05). This locus was cis-eQTL of NEAT1 in multiple brain tissues and blood. Colocalization analysis detected association signals at this locus between AAO of ALS and expression of NEAT1. Furthermore, functional exploration supported the variant rs10128627 was associated with upregulated expression of NEAT1 in cell models and patients with ALS. Causal inference suggested higher total cholesterol, low-density lipoprotein, and eosinophil were nominally associated with earlier AAO of ALS, while monocyte might delay the AAO. CONCLUSIONS: Collective evidence from genetic, bioinformatic, and functional results suggested NEAT1 as a key player in the disease progression of ALS. These findings improve the current understanding of the genetic role in AAO of ALS, and provide a novel target for further research on the pathogenesis and therapeutic options to delay the disease onset. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13024-023-00669-6.
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spelling pubmed-105946662023-10-25 Genome-wide analyses identify NEAT1 as genetic modifier of age at onset of amyotrophic lateral sclerosis Li, Chunyu Wei, Qianqian Hou, Yanbing Lin, Junyu Ou, Ruwei Zhang, Lingyu Jiang, Qirui Xiao, Yi Liu, Kuncheng Chen, Xueping Yang, TianMi Song, Wei Zhao, Bi Wu, Ying Shang, Huifang Mol Neurodegener Research Article BACKGROUND: Patients with amyotrophic lateral sclerosis (ALS) demonstrate great heterogeneity in the age at onset (AAO), which is closely related to the course of disease. However, most genetic studies focused on the risk of ALS, while the genetic background underlying AAO of ALS is still unknown. METHODS: To identify genetic determinants influencing AAO of ALS, we performed genome-wide association analysis using a Cox proportional hazards model in 2,841 patients with ALS (N(discovery) = 2,272, N(replication) = 569) in the Chinese population. We further conducted colocalization analysis using public cis-eQTL dataset, and Mendelian randomization analysis to identify risk factors for AAO of ALS. Finally, functional experiments including dual-luciferase reporter assay and RT-qPCR were performed to explore the regulatory effect of the target variant. RESULTS: The total heritability of AAO of ALS was ~ 0.24. One novel locus rs10128627 (FRMD8) was significantly associated with earlier AAO by ~ 3.15 years (P = 1.54E-08, beta = 0.31, SE = 0.05). This locus was cis-eQTL of NEAT1 in multiple brain tissues and blood. Colocalization analysis detected association signals at this locus between AAO of ALS and expression of NEAT1. Furthermore, functional exploration supported the variant rs10128627 was associated with upregulated expression of NEAT1 in cell models and patients with ALS. Causal inference suggested higher total cholesterol, low-density lipoprotein, and eosinophil were nominally associated with earlier AAO of ALS, while monocyte might delay the AAO. CONCLUSIONS: Collective evidence from genetic, bioinformatic, and functional results suggested NEAT1 as a key player in the disease progression of ALS. These findings improve the current understanding of the genetic role in AAO of ALS, and provide a novel target for further research on the pathogenesis and therapeutic options to delay the disease onset. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13024-023-00669-6. BioMed Central 2023-10-23 /pmc/articles/PMC10594666/ /pubmed/37872557 http://dx.doi.org/10.1186/s13024-023-00669-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Li, Chunyu
Wei, Qianqian
Hou, Yanbing
Lin, Junyu
Ou, Ruwei
Zhang, Lingyu
Jiang, Qirui
Xiao, Yi
Liu, Kuncheng
Chen, Xueping
Yang, TianMi
Song, Wei
Zhao, Bi
Wu, Ying
Shang, Huifang
Genome-wide analyses identify NEAT1 as genetic modifier of age at onset of amyotrophic lateral sclerosis
title Genome-wide analyses identify NEAT1 as genetic modifier of age at onset of amyotrophic lateral sclerosis
title_full Genome-wide analyses identify NEAT1 as genetic modifier of age at onset of amyotrophic lateral sclerosis
title_fullStr Genome-wide analyses identify NEAT1 as genetic modifier of age at onset of amyotrophic lateral sclerosis
title_full_unstemmed Genome-wide analyses identify NEAT1 as genetic modifier of age at onset of amyotrophic lateral sclerosis
title_short Genome-wide analyses identify NEAT1 as genetic modifier of age at onset of amyotrophic lateral sclerosis
title_sort genome-wide analyses identify neat1 as genetic modifier of age at onset of amyotrophic lateral sclerosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10594666/
https://www.ncbi.nlm.nih.gov/pubmed/37872557
http://dx.doi.org/10.1186/s13024-023-00669-6
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