NCAD v1.0: a database for non-coding variant annotation and interpretation

生物 注释 计算生物学 编码(社会科学) 人口 数据科学 遗传学 计算机科学 医学 统计 数学 环境卫生
作者
Xiaoshu Feng,Sihan Liu,Ke Li,Fengxiao Bu,Huijun Yuan
出处
期刊:Journal of Genetics and Genomics [Elsevier BV]
卷期号:51 (2): 230-242 被引量:3
标识
DOI:10.1016/j.jgg.2023.12.005
摘要

The application of whole genome sequencing is expanding in clinical diagnostics across various genetic disorders, and the significance of non-coding variants in penetrant diseases is increasingly being demonstrated. Therefore, it is urgent to improve the diagnostic yield by exploring the pathogenic mechanisms of variants in non-coding regions. However, the interpretation of non-coding variants remains a significant challenge, due to the complex functional regulatory mechanisms of non-coding regions and the current limitations of available databases and tools. Hence, we develop the non-coding variant annotation database (NCAD, http://www.ncawdb.net/), encompassing comprehensive insights into 665,679,194 variants, regulatory elements, and element interaction details. Integrating data from 96 sources, spanning both GRCh37 and GRCh38 versions, NCAD v1.0 provides vital information to support the genetic diagnosis of non-coding variants, including allele frequencies of 12 diverse populations, with a particular focus on the population frequency information for 230,235,698 variants in 20,964 Chinese individuals. Moreover, it offers prediction scores for variant functionality, five categories of regulatory elements, and four types of non-coding RNAs. With its rich data and comprehensive coverage, NCAD serves as a valuable platform, empowering researchers and clinicians with profound insights into non-coding regulatory mechanisms while facilitating the interpretation of non-coding variants.
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