Literature DB >> 29539190

MSeqDR mvTool: A mitochondrial DNA Web and API resource for comprehensive variant annotation, universal nomenclature collation, and reference genome conversion.

Lishuang Shen1, Marcella Attimonelli2, Renkui Bai3, Marie T Lott4, Douglas C Wallace4,5, Marni J Falk5,6, Xiaowu Gai1,7.   

Abstract

Accurate mitochondrial DNA (mtDNA) variant annotation is essential for the clinical diagnosis of diverse human diseases. Substantial challenges to this process include the inconsistency in mtDNA nomenclatures, the existence of multiple reference genomes, and a lack of reference population frequency data. Clinicians need a simple bioinformatics tool that is user-friendly, and bioinformaticians need a powerful informatics resource for programmatic usage. Here, we report the development and functionality of the MSeqDR mtDNA Variant Tool set (mvTool), a one-stop mtDNA variant annotation and analysis Web service. mvTool is built upon the MSeqDR infrastructure (https://mseqdr.org), with contributions of expert curated data from MITOMAP (https://www.mitomap.org) and HmtDB (https://www.hmtdb.uniba.it/hmdb). mvTool supports all mtDNA nomenclatures, converts variants to standard rCRS- and HGVS-based nomenclatures, and annotates novel mtDNA variants. Besides generic annotations from dbNSFP and Variant Effect Predictor (VEP), mvTool provides allele frequencies in more than 47,000 germline mitogenomes, and disease and pathogenicity classifications from MSeqDR, Mitomap, HmtDB and ClinVar (Landrum et al., 2013). mvTools also provides mtDNA somatic variants annotations. "mvTool API" is implemented for programmatic access using inputs in VCF, HGVS, or classical mtDNA variant nomenclatures. The results are reported as hyperlinked html tables, JSON, Excel, and VCF formats. MSeqDR mvTool is freely accessible at https://mseqdr.org/mvtool.php.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  API; Web service; mitochondrial genome; mtDNA variant; variant annotation

Mesh:

Substances:

Year:  2018        PMID: 29539190      PMCID: PMC5992054          DOI: 10.1002/humu.23422

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  19 in total

1.  Phy-Mer: a novel alignment-free and reference-independent mitochondrial haplogroup classifier.

Authors:  Daniel Navarro-Gomez; Jeremy Leipzig; Lishuang Shen; Marie Lott; Alphons P M Stassen; Douglas C Wallace; Janey L Wiggs; Marni J Falk; Mannis van Oven; Xiaowu Gai
Journal:  Bioinformatics       Date:  2014-12-12       Impact factor: 6.937

2.  Sequence and organization of the human mitochondrial genome.

Authors:  S Anderson; A T Bankier; B G Barrell; M H de Bruijn; A R Coulson; J Drouin; I C Eperon; D P Nierlich; B A Roe; F Sanger; P H Schreier; A J Smith; R Staden; I G Young
Journal:  Nature       Date:  1981-04-09       Impact factor: 49.962

3.  Updated comprehensive phylogenetic tree of global human mitochondrial DNA variation.

Authors:  Mannis van Oven; Manfred Kayser
Journal:  Hum Mutat       Date:  2009-02       Impact factor: 4.878

4.  dbNSFP v2.0: a database of human non-synonymous SNVs and their functional predictions and annotations.

Authors:  Xiaoming Liu; Xueqiu Jian; Eric Boerwinkle
Journal:  Hum Mutat       Date:  2013-07-10       Impact factor: 4.878

Review 5.  Mitochondrial Disease Sequence Data Resource (MSeqDR): a global grass-roots consortium to facilitate deposition, curation, annotation, and integrated analysis of genomic data for the mitochondrial disease clinical and research communities.

Authors:  Marni J Falk; Lishuang Shen; Michael Gonzalez; Jeremy Leipzig; Marie T Lott; Alphons P M Stassen; Maria Angela Diroma; Daniel Navarro-Gomez; Philip Yeske; Renkui Bai; Richard G Boles; Virginia Brilhante; David Ralph; Jeana T DaRe; Robert Shelton; Sharon F Terry; Zhe Zhang; William C Copeland; Mannis van Oven; Holger Prokisch; Douglas C Wallace; Marcella Attimonelli; Danuta Krotoski; Stephan Zuchner; Xiaowu Gai
Journal:  Mol Genet Metab       Date:  2014-12-04       Impact factor: 4.797

6.  The variant call format and VCFtools.

Authors:  Petr Danecek; Adam Auton; Goncalo Abecasis; Cornelis A Albers; Eric Banks; Mark A DePristo; Robert E Handsaker; Gerton Lunter; Gabor T Marth; Stephen T Sherry; Gilean McVean; Richard Durbin
Journal:  Bioinformatics       Date:  2011-06-07       Impact factor: 6.937

7.  MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing.

Authors:  Claudia Calabrese; Domenico Simone; Maria Angela Diroma; Mariangela Santorsola; Cristiano Guttà; Giuseppe Gasparre; Ernesto Picardi; Graziano Pesole; Marcella Attimonelli
Journal:  Bioinformatics       Date:  2014-07-14       Impact factor: 6.937

8.  Analysis of protein-coding genetic variation in 60,706 humans.

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Journal:  Nature       Date:  2016-08-18       Impact factor: 49.962

9.  COSMIC: somatic cancer genetics at high-resolution.

Authors:  Simon A Forbes; David Beare; Harry Boutselakis; Sally Bamford; Nidhi Bindal; John Tate; Charlotte G Cole; Sari Ward; Elisabeth Dawson; Laura Ponting; Raymund Stefancsik; Bhavana Harsha; Chai Yin Kok; Mingming Jia; Harry Jubb; Zbyslaw Sondka; Sam Thompson; Tisham De; Peter J Campbell
Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

10.  ClinVar: public archive of relationships among sequence variation and human phenotype.

Authors:  Melissa J Landrum; Jennifer M Lee; George R Riley; Wonhee Jang; Wendy S Rubinstein; Deanna M Church; Donna R Maglott
Journal:  Nucleic Acids Res       Date:  2013-11-14       Impact factor: 16.971

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Authors:  Susanne B Haga
Journal:  Mol Diagn Ther       Date:  2019-08       Impact factor: 4.074

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Authors:  Rebecca D Ganetzky; Claudia Stendel; Elizabeth M McCormick; Zarazuela Zolkipli-Cunningham; Amy C Goldstein; Thomas Klopstock; Marni J Falk
Journal:  Hum Mutat       Date:  2019-03-04       Impact factor: 4.878

3.  Matching whole genomes to rare genetic disorders: Identification of potential causative variants using phenotype-weighted knowledge in the CAGI SickKids5 clinical genomes challenge.

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Journal:  Hum Mutat       Date:  2019-11-15       Impact factor: 4.878

Review 4.  Clinical Bioinformatics in Precise Diagnosis of Mitochondrial Disease.

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Review 5.  Use of Next-Generation Sequencing for Identifying Mitochondrial Disorders.

Authors:  Shafi Mahmud; Suvro Biswas; Shamima Afrose; Mohasana Akter Mita; Md Robiul Hasan; Mst Sharmin Sultana Shimu; Gobindo Kumar Paul; Sanghyun Chung; Md Abu Saleh; Sultan Alshehri; Momammed M Ghoneim; Maha Alruwaily; Bonglee Kim
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6.  Specifications of the ACMG/AMP standards and guidelines for mitochondrial DNA variant interpretation.

Authors:  Elizabeth M McCormick; Marie T Lott; Matthew C Dulik; Lishuang Shen; Marcella Attimonelli; Ornella Vitale; Amel Karaa; Renkui Bai; Daniel E Pineda-Alvarez; Larry N Singh; Christine M Stanley; Stacey Wong; Anshu Bhardwaj; Daria Merkurjev; Rong Mao; Neal Sondheimer; Shiping Zhang; Vincent Procaccio; Douglas C Wallace; Xiaowu Gai; Marni J Falk
Journal:  Hum Mutat       Date:  2020-11-10       Impact factor: 4.878

7.  Contribution of Mitochondrial DNA Heteroplasmy to the Congenital Cardiac and Palatal Phenotypic Variability in Maternally Transmitted 22q11.2 Deletion Syndrome.

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Journal:  Genes (Basel)       Date:  2021-01-13       Impact factor: 4.096

8.  Genome-wide analysis of mitochondrial DNA copy number reveals loci implicated in nucleotide metabolism, platelet activation, and megakaryocyte proliferation.

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Journal:  Hum Genet       Date:  2021-12-02       Impact factor: 5.881

9.  Mitochondrial DNA variation across 56,434 individuals in gnomAD.

Authors:  Kristen M Laricchia; Nicole J Lake; Nicholas A Watts; Megan Shand; Andrea Haessly; Laura Gauthier; David Benjamin; Eric Banks; Jose Soto; Kiran Garimella; James Emery; Heidi L Rehm; Daniel G MacArthur; Grace Tiao; Monkol Lek; Vamsi K Mootha; Sarah E Calvo
Journal:  Genome Res       Date:  2022-01-24       Impact factor: 9.438

10.  Polymorphisms in the Mitochondrial Genome Are Associated With Bullous Pemphigoid in Germans.

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Journal:  Front Immunol       Date:  2019-11-22       Impact factor: 7.561

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