Gene4Denovo2: an updated platform for human de novo mutations discovery and interpretation

IF 13.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Zhaopo Zhu, Pei Yu, Xinxin Mao, Chenbin Liu, Kuokuo Li, Qiao Zhou, Yijing Wang, Tengfei Luo, Xudong Xiang, Yixiao Zhu, Dai Wu, Xingxing Jian, Bin Li, Beisha Tang, Kun Xia, Guihu Zhao, Jinchen Li
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引用次数: 0

Abstract

De novo mutations (DNMs) drive evolution and increase biodiversity, yet concurrently act as a cryptic cause of numerous genetic diseases. Here, we present Gene4Denovo2 (https://genemed.tech/gene4denovo2/), an updated version of the Gene4Denovo, aiming to provide a more comprehensive DNM datasets and their interpretations. The key improvements include the following: (i) We have substantially expanded the number and scope of DNMs, associated samples, and phenotypes. Specifically, Gene4Denovo2 now contains 1 626 050 DNMs from 130 439 individuals across 96 phenotypes. Moreover, clinical information covering nearly 1000 items has been added for 448 096 individuals, including those with DNMs and their unaffected family members. (ii) We have introduced new features to assist in the evaluation of DNMs, including support for ACMG rating and the addition of gene prioritization scores for rapid classification and filtering of candidate genes. (iii) An upgraded analysis interface allowing flexible annotation configuration and a significant expansion in the number of annotatable datasets. Additionally, a new integrated tool enables DNMs calling from family-based sequencing data. In summary, Gene4Denovo2 provides a more extensive collection of DNMs, enhanced annotation capabilities, and upgraded analysis tools, which will facilitate a deeper exploration of the role of DNMs in disease pathogenesis.
Gene4Denovo2:人类新生突变发现和解释的更新平台
新生突变(dnm)驱动进化和增加生物多样性,但同时作为许多遗传疾病的隐性原因。在这里,我们介绍Gene4Denovo2 (https://genemed)。tech/gene4denovo2/), Gene4Denovo的更新版本,旨在提供更全面的DNM数据集及其解释。主要改进包括以下方面:(i)我们大大扩展了dnm、相关样本和表型的数量和范围。具体来说,Gene4Denovo2现在包含来自96个表型的130 439个个体的1 626 050个dnm。此外,还增加了448096人的临床信息,涵盖近1000项,包括dnm患者及其未受影响的家庭成员。(ii)我们引入了新的功能来协助dnm的评估,包括支持ACMG评级和增加基因优先级评分,用于快速分类和筛选候选基因。(iii)升级的分析界面,允许灵活的注释配置和可注释数据集数量的显著扩展。此外,一个新的集成工具使dnm能够从基于家族的测序数据中调用。总之,Gene4Denovo2提供了更广泛的dnm集合,增强的注释能力和升级的分析工具,这将有助于更深入地探索dnm在疾病发病机制中的作用。
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来源期刊
Nucleic Acids Research
Nucleic Acids Research 生物-生化与分子生物学
CiteScore
27.10
自引率
4.70%
发文量
1057
审稿时长
2 months
期刊介绍: Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.
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