SV4GD: a comprehensive structural variation database specially for genetic diseases

Structural variations (SVs) contribute to a large extent to genomic diversity and are highly relevant for various human genetic diseases. The sensitivity and specificity of SV identification have significantly improved with the development and widespread application of high-throughput sequencing, making clinical diagnosis and treatment more accurate. Therefore, the SV4GD (Structural Variation for Genetic Diseases, https://bio-computing.hrbmu.edu.cn/SV4GD/), a manually curated database, was constructed to provide a comprehensive, standardized and user-friendly data resource for selective batch browsing, searching, downloading and comparing those genetic disease-relevant SVs. This database compiles 10 305 records of germline structural variants from 58 human neoplastic diseases and 232 non-neoplastic genetic diseases, including 2695 disease-related SVs, and other 7610 pending research SVs detected from patients. SV4GD provides a browser and search engine to query for the detailed information of SVs, human genetic diseases and the clinical information of patients, providing an easy-to-use online tool for clinical and molecular genetics research.

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Publication Details

Journal
Nucleic Acids Research
Published
2024-11-11
DOI
https://doi.org/10.1093/nar/gkae1015
Citations
1
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.55

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article

SV4GD: a comprehensive structural variation database specially for genetic diseases

Zitong Zhang, Lin Ke, Senwei Tan, Meiyi Zhang et al.
1 citations
Nucleic Acids Research
Genomics and Rare Diseases
0.55
article

SV4GD: a comprehensive structural variation database specially for genetic diseases

Zitong Zhang, Lin Ke, Senwei Tan, Meiyi Zhang, Changlu Qi, Liang Cheng, Meiyu Du, D. Zhang, Chao Xu, Sainan Zhang, Yueni Zhang, Xin Wang, Ying Li, Hailong Li, Xue Zhang, Lei Shi, Jiaping Wang, Xingwang Liu, Kai Qian, Xin Wang
article en
1 citations

Abstract

Structural variations (SVs) contribute to a large extent to genomic diversity and are highly relevant for various human genetic diseases. The sensitivity and specificity of SV identification have significantly improved with the development and widespread application of high-throughput sequencing, making clinical diagnosis and treatment more accurate. Therefore, the SV4GD (Structural Variation for Genetic Diseases, https://bio-computing.hrbmu.edu.cn/SV4GD/), a manually curated database, was constructed to provide a comprehensive, standardized and user-friendly data resource for selective batch browsing, searching, downloading and comparing those genetic disease-relevant SVs. This database compiles 10 305 records of germline structural variants from 58 human neoplastic diseases and 232 non-neoplastic genetic diseases, including 2695 disease-related SVs, and other 7610 pending research SVs detected from patients. SV4GD provides a browser and search engine to query for the detailed information of SVs, human genetic diseases and the clinical information of patients, providing an easy-to-use online tool for clinical and molecular genetics research.

Nucleic Acids ResearchVol. 53(D1)
Harbin Medical University (CN), Chinese University of Hong Kong (HK), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Second Affiliated Hospital of Harbin Medical University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Partnerships for the goals
Openalex Percentile: Top 24%
Genomics and Rare Diseases
0.55
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