Penn Neurodegeneration Genomics Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Alzheimers Dement. 2024 Feb;20(2):1123-1136. doi: 10.1002/alz.13509. Epub 2023 Oct 26.
The National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site Alzheimer's Genomics Database (GenomicsDB) is a public knowledge base of Alzheimer's disease (AD) genetic datasets and genomic annotations.
GenomicsDB uses a custom systems architecture to adopt and enforce rigorous standards that facilitate harmonization of AD-relevant genome-wide association study summary statistics datasets with functional annotations, including over 230 million annotated variants from the AD Sequencing Project.
GenomicsDB generates interactive reports compiled from the harmonized datasets and annotations. These reports contextualize AD-risk associations in a broader functional genomic setting and summarize them in the context of functionally annotated genes and variants.
Created to make AD-genetics knowledge more accessible to AD researchers, the GenomicsDB is designed to guide users unfamiliar with genetic data in not only exploring but also interpreting this ever-growing volume of data. Scalable and interoperable with other genomics resources using data technology standards, the GenomicsDB can serve as a central hub for research and data analysis on AD and related dementias.
The National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (NIAGADS) offers to the public a unique, disease-centric collection of AD-relevant GWAS summary statistics datasets. Interpreting these data is challenging and requires significant bioinformatics expertise to standardize datasets and harmonize them with functional annotations on genome-wide scales. The NIAGADS Alzheimer's GenomicsDB helps overcome these challenges by providing a user-friendly public knowledge base for AD-relevant genetics that shares harmonized, annotated summary statistics datasets from the NIAGADS repository in an interpretable, easily searchable format.
美国国家老龄化研究所(National Institute on Aging)的阿尔茨海默病遗传学数据存储库(Alzheimer's Disease Data Storage Site)的阿尔茨海默病基因组数据库(Alzheimer's Genomics Database,GenomicsDB)是一个公开的知识库,包含阿尔茨海默病(AD)遗传数据集和基因组注释。
GenomicsDB 使用定制的系统架构来采用和执行严格的标准,以促进 AD 相关全基因组关联研究汇总统计数据集与功能注释的协调,包括来自 AD 测序项目的超过 2.3 亿个注释变体。
GenomicsDB 从协调的数据集中生成交互式报告。这些报告将 AD 风险关联置于更广泛的功能基因组背景下,并在功能注释基因和变体的背景下对其进行总结。
为了使 AD 遗传学知识更容易为 AD 研究人员所获取,GenomicsDB 旨在指导不熟悉遗传数据的用户不仅可以探索,还可以解释这个不断增长的数据量。GenomicsDB 采用数据技术标准与其他基因组资源可扩展且互操作,可以作为 AD 和相关痴呆症研究和数据分析的中心枢纽。
美国国家老龄化研究所(National Institute on Aging)的阿尔茨海默病遗传学数据存储库(Alzheimer's Disease Data Storage Site,NIAGADS)向公众提供了一个独特的、以疾病为中心的 AD 相关全基因组关联研究汇总统计数据集集合。解释这些数据具有挑战性,需要大量的生物信息学专业知识来标准化数据集,并在全基因组范围内将其与功能注释协调。NIAGADS 的阿尔茨海默病基因组数据库(Alzheimer's Genomics Database)通过提供一个用户友好的 AD 相关遗传学公共知识库来克服这些挑战,该知识库以可解释、易于搜索的格式共享来自 NIAGADS 存储库的协调、注释汇总统计数据集。