VarCards2: an integrated genetic and clinical database for ACMG-AMP variant-interpretation guidelines in the human whole genome

Author:

Wang Zheng123,Zhao Guihu124ORCID,Zhu Zhaopo5,Wang Yijing14,Xiang Xudong1,Zhang Shiyu6,Luo Tengfei5,Zhou Qiao14,Qiu Jian123,Tang Beisha127ORCID,Xia Kun5ORCID,Li Bin124,Li Jinchen1524ORCID

Affiliation:

1. National Clinical Research Center for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University , Changsha , Hunan  410008 , China

2. Department of Neurology, Xiangya Hospital, Central South University , Changsha , Hunan  410008 , China

3. Hunan Key Laboratory of Molecular Precision Medicine, Xiangya Hospital, Central South University , Changsha , Hunan 410008, China

4. Bioinformatics Center, Furong Laboratory & Xiangya Hospital, Central South University , Changsha , Hunan 410008, China

5. Center for Medical Genetics & Hunan Key Laboratory, School of Life Sciences, Central South University , Changsha , Hunan  410008 , China

6. Xiangya School of Medicine, Central South University , Changsha , Hunan 410013, China

7. Department of Neurology, & Multi-Omics Research Center for Brain Disorders, The First Affiliated Hospital, University of South China , Hengyang , Hunan , China

Abstract

Abstract VarCards, an online database, combines comprehensive variant- and gene-level annotation data to streamline genetic counselling for coding variants. Recognising the increasing clinical relevance of non-coding variations, there has been an accelerated development of bioinformatics tools dedicated to interpreting non-coding variations, including single-nucleotide variants and copy number variations. Regrettably, most tools remain as either locally installed databases or command-line tools dispersed across diverse online platforms. Such a landscape poses inconveniences and challenges for genetic counsellors seeking to utilise these resources without advanced bioinformatics expertise. Consequently, we developed VarCards2, which incorporates nearly nine billion artificially generated single-nucleotide variants (including those from mitochondrial DNA) and compiles vital annotation information for genetic counselling based on ACMG-AMP variant-interpretation guidelines. These annotations include (I) functional effects; (II) minor allele frequencies; (III) comprehensive function and pathogenicity predictions covering all potential variants, such as non-synonymous substitutions, non-canonical splicing variants, and non-coding variations and (IV) gene-level information. Furthermore, VarCards2 incorporates 368 820 266 documented short insertions and deletions and 2 773 555 documented copy number variations, complemented by their corresponding annotation and prediction tools. In conclusion, VarCards2, by integrating over 150 variant- and gene-level annotation sources, significantly enhances the efficiency of genetic counselling and can be freely accessed at http://www.genemed.tech/varcards2/.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Scientific Research Program of FuRong Laboratory

Central South University Research Program of Advanced Interdisciplinary Study

Hunan Youth Science and Technology Innovation Talent Project

Publisher

Oxford University Press (OUP)

Subject

Genetics

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