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神经退行性疾病知识门户:通过共享神经退行性疾病基因组资源推动发现。

The Neurodegenerative Disease Knowledge Portal: Propelling Discovery Through the Sharing of Neurodegenerative Disease Genomic Resources.

作者信息

Dilliott Allison A, Costanzo Maria C, Bandres-Ciga Sara, Blauwendraat Cornelis, Casey Bradford, Hoang Quy, Iwaki Hirotaka, Jang Dongkeun, Kim Jonggeol Jeffrey, Leonard Hampton L, Levine Kristin S, Makarious Mary, Nguyen Trang T, Rouleau Guy A, Singleton Andrew B, Smadbeck Patrick, Solle J, Vitale Dan, Nalls Mike A, Flannick Jason, Burtt Noël P, Farhan Sali M K

机构信息

Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.

Montreal Neurological Institute-Hospital, McGill University, Montreal, QC, Canada.

出版信息

medRxiv. 2024 Dec 12:2024.05.27.24307990. doi: 10.1101/2024.05.27.24307990.

DOI:10.1101/2024.05.27.24307990
PMID:38853922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11160810/
Abstract

Although large-scale genetic association studies have proven useful for the delineation of neurodegenerative disease processes, we still lack a full understanding of the pathological mechanisms of these diseases, resulting in few appropriate treatment options and diagnostic challenges. To mitigate these gaps, the Neurodegenerative Disease Knowledge Portal (NDKP) was created as an open-science initiative with the aim to aggregate, enable analysis, and display all available genomic datasets of neurodegenerative disease, while protecting the integrity and confidentiality of the underlying datasets. The portal contains 218 genomic datasets, including genotyping and sequencing studies, of individuals across ten different phenotypic groups, including neurological conditions such as Alzheimer's disease, amyotrophic lateral sclerosis, Lewy body dementia, and Parkinson's disease. In addition to securely hosting large genomic datasets, the NDKP provides accessible workflows and tools to effectively utilize the datasets and assist in the facilitation of customized genomic analyses. Here, we summarize the genomic datasets currently included within the portal, the bioinformatics processing of the datasets, and the variety of phenotypes captured. We also present example use-cases of the various user interfaces and integrated analytic tools to demonstrate their extensive utility in enabling the extraction of high-quality results at the source, for both genomics experts and those in other disciplines. Overall, the NDKP promotes open-science and collaboration, maximizing the potential for discovery from the large-scale datasets researchers and consortia are expending immense resources to produce and resulting in reproducible conclusions to improve diagnostic and therapeutic care for neurodegenerative disease patients.

摘要

尽管大规模基因关联研究已被证明有助于描绘神经退行性疾病的进程,但我们仍未完全了解这些疾病的病理机制,导致合适的治疗方案寥寥无几,诊断也面临挑战。为了弥合这些差距,神经退行性疾病知识门户(NDKP)作为一项开放科学倡议而创建,旨在汇总、便于分析并展示所有可用的神经退行性疾病基因组数据集,同时保护基础数据集的完整性和保密性。该门户包含218个基因组数据集,包括基因分型和测序研究,涉及十个不同表型组的个体,包括阿尔茨海默病、肌萎缩侧索硬化症、路易体痴呆症和帕金森病等神经疾病。除了安全托管大型基因组数据集外,NDKP还提供可访问的工作流程和工具,以有效利用这些数据集,并协助进行定制的基因组分析。在此,我们总结了目前门户中包含的基因组数据集、数据集的生物信息学处理以及所捕获的各种表型。我们还展示了各种用户界面和集成分析工具的示例用例,以证明它们在为基因组学专家和其他学科人员从源头提取高质量结果方面具有广泛的实用性。总体而言,NDKP促进了开放科学与合作,最大限度地挖掘了研究人员和联盟投入大量资源生成的大规模数据集的发现潜力,并得出可重复的结论,以改善神经退行性疾病患者的诊断和治疗护理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/fa8093e06509/nihpp-2024.05.27.24307990v2-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/d51ae8183862/nihpp-2024.05.27.24307990v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/4b64dbbba80a/nihpp-2024.05.27.24307990v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/c135cd8d5c81/nihpp-2024.05.27.24307990v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/149722f440c0/nihpp-2024.05.27.24307990v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/2e1f36c9dc5a/nihpp-2024.05.27.24307990v2-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/fa8093e06509/nihpp-2024.05.27.24307990v2-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/d51ae8183862/nihpp-2024.05.27.24307990v2-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/4b64dbbba80a/nihpp-2024.05.27.24307990v2-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/c135cd8d5c81/nihpp-2024.05.27.24307990v2-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/149722f440c0/nihpp-2024.05.27.24307990v2-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/2e1f36c9dc5a/nihpp-2024.05.27.24307990v2-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6880/11639301/fa8093e06509/nihpp-2024.05.27.24307990v2-f0006.jpg

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本文引用的文献

1
Multi-ancestry genome-wide association meta-analysis of Parkinson's disease.多族裔帕金森病全基因组关联荟萃分析。
Nat Genet. 2024 Jan;56(1):27-36. doi: 10.1038/s41588-023-01584-8. Epub 2023 Dec 28.
2
Integrative multi-omics and systems bioinformatics in translational neuroscience: A data mining perspective.转化神经科学中的整合多组学与系统生物信息学:数据挖掘视角
J Pharm Anal. 2023 Aug;13(8):836-850. doi: 10.1016/j.jpha.2023.06.011. Epub 2023 Jun 30.
3
Large-scale rare variant burden testing in Parkinson's disease.帕金森病的大规模罕见变异负担测试。
Brain. 2023 Nov 2;146(11):4622-4632. doi: 10.1093/brain/awad214.
4
The Type 2 Diabetes Knowledge Portal: An open access genetic resource dedicated to type 2 diabetes and related traits.2 型糖尿病知识库:一个开放获取的遗传资源库,专门用于 2 型糖尿病和相关特征。
Cell Metab. 2023 Apr 4;35(4):695-710.e6. doi: 10.1016/j.cmet.2023.03.001. Epub 2023 Mar 23.
5
Genetic Variants Cause Neuroinflammation in Alzheimer's Disease.遗传变异导致阿尔茨海默病的神经炎症。
Int J Mol Sci. 2023 Feb 17;24(4):4085. doi: 10.3390/ijms24044085.
6
The next-generation Open Targets Platform: reimagined, redesigned, rebuilt.下一代开放靶点平台:重新构想、重新设计、重新构建。
Nucleic Acids Res. 2023 Jan 6;51(D1):D1353-D1359. doi: 10.1093/nar/gkac1046.
7
The NHGRI-EBI GWAS Catalog: knowledgebase and deposition resource.NHGRI-EBI GWAS 目录:知识库和存储资源。
Nucleic Acids Res. 2023 Jan 6;51(D1):D977-D985. doi: 10.1093/nar/gkac1010.
8
Evaluating human genetic support for hypothesized metabolic disease genes.评估人类遗传对假设代谢疾病基因的支持。
Cell Metab. 2022 May 3;34(5):661-666. doi: 10.1016/j.cmet.2022.03.011. Epub 2022 Apr 13.
9
New insights into the genetic etiology of Alzheimer's disease and related dementias.阿尔茨海默病及相关痴呆症的遗传学病因新见解。
Nat Genet. 2022 Apr;54(4):412-436. doi: 10.1038/s41588-022-01024-z. Epub 2022 Apr 4.
10
Region-based analysis of rare genomic variants in whole-genome sequencing datasets reveal two novel Alzheimer's disease-associated genes: DTNB and DLG2.基于区域的全基因组测序数据集稀有基因组变异分析揭示了两个新的阿尔茨海默病相关基因:DTNB 和 DLG2。
Mol Psychiatry. 2022 Apr;27(4):1963-1969. doi: 10.1038/s41380-022-01475-0. Epub 2022 Mar 4.