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
{"title":"Gene4Denovo2:人类新生突变发现和解释的更新平台","authors":"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","doi":"10.1093/nar/gkaf980","DOIUrl":null,"url":null,"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.","PeriodicalId":19471,"journal":{"name":"Nucleic Acids Research","volume":"70 1","pages":""},"PeriodicalIF":13.1000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gene4Denovo2: an updated platform for human de novo mutations discovery and interpretation\",\"authors\":\"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\",\"doi\":\"10.1093/nar/gkaf980\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":19471,\"journal\":{\"name\":\"Nucleic Acids Research\",\"volume\":\"70 1\",\"pages\":\"\"},\"PeriodicalIF\":13.1000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nucleic Acids Research\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/nar/gkaf980\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nucleic Acids Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/nar/gkaf980","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Gene4Denovo2: an updated platform for human de novo mutations discovery and interpretation
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.
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.