NHGRI-EBI GWAS目录:可重复使用性,可持续性和多样性的标准
Maria Cerezo1, Elliot Sollis1, Yue Ji1
1European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Nucleic acids research
|November 12, 2024
概括
NHGRI-EBI GWAS目录是人类遗传学研究的关键资源,为超过15,000个特征提供了广泛的全基因组关联研究 (GWAS) 结果和总结统计数据. 它标准化了数据提交,并提高了基因分析的可访问性.
科学领域:
- 遗传学和基因组学 遗传学和基因组学
- 生物信息学是一种生物信息学.
- 数据科学数据科学数据科学
背景情况:
- NHGRI-EBI GWAS目录是人类全基因组关联研究 (GWAS) 结果的中央存储库.
- 目前,它收藏了来自近7000个出版物的数据,涵盖了超过15,000个特征,并策划了超过625,000个协会.
- 此外,还有85,000个全基因组总结统计数据集可用于高级下游分析.
研究的目的:
- 描述NHGRI-EBI GWAS目录的最新更新,包括数据内容和用户界面增强.
- 报告总结统计数据的GWAS-SSF标准格式的实施情况.
- 应对管理大规模定量特征GWAS数据的挑战,并确保数据的互操作性和可重复使用性.
主要方法:
- 策划和标准化人类GWAS结果和总结统计数据.
- 制定和实施数据提交和协调标准.
- 改进用户界面和数据可访问性功能.
- 采用关于汇总统计的GWAS-SSF标准.
主要成果:
- 目前,该目录包含近7000个出版物和超过15000个特征的数据.
- 已经策划了超过625,000个遗传关联.
- 有85,000个全基因组总结统计数据集可用,支持各种下游分析.
- 用户界面的改进和采用GWAS-SSF提高了数据的可用性.
结论:
- NHGRI-EBI GWAS目录继续成为遗传学研究界的重要,不断发展的资源.
- 目前正在进行的努力集中在数据标准化,互操作性和容纳大规模遗传研究上.
- 增强的数据可访问性和标准化的格式促进了先进的遗传分析和发现.
更多相关视频
08:39Standardization and Maintenance of 3D Canine Hepatic and Intestinal Organoid Cultures for Use in Biomedical Research
Published on: January 31, 2022
4.7K
10:17Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
Published on: November 15, 2024
952
相关概念视频
Multi-species Conserved Sequences
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
Genome-wide Association Studies-GWAS
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
