Literature DB >> 32439066

Clinical Bioinformatics in Precise Diagnosis of Mitochondrial Disease.

Lishuang Shen1, Elizabeth M McCormick2, Colleen Clarke Muraresku2, Marni J Falk3, Xiaowu Gai4.   

Abstract

Clinical bioinformatics system is well-established for diagnosing genetic disease based on next-generation sequencing, but requires special considerations when being adapted for the next-generation sequencing-based genetic diagnosis of mitochondrial diseases. Challenges are caused by the involvement of mitochondrial DNA genome in disease etiology. Heteroplasmy and haplogroup are key factors in interpreting mitochondrial DNA variant effects. Data resources and tools for analyzing variant and sequencing data are available at MSeqDR, MitoMap, and HmtDB. Revised specifications of the American College of Medical Genetics/Association of Molecular Pathology standards and guidelines for mitochondrial DNA variant interpretation are proposed by the MSeqDr Consortium and community experts.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Clinical sequencing; Mitochondrial disease; Pathogenicity; Phenotype; Variant annotation

Mesh:

Year:  2020        PMID: 32439066      PMCID: PMC7250163          DOI: 10.1016/j.cll.2020.02.002

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN: 0272-2712            Impact factor:   1.935


  62 in total

1.  Kaviar: an accessible system for testing SNV novelty.

Authors:  Gustavo Glusman; Juan Caballero; Denise E Mauldin; Leroy Hood; Jared C Roach
Journal:  Bioinformatics       Date:  2011-09-28       Impact factor: 6.937

2.  MitImpact: an exhaustive collection of pre-computed pathogenicity predictions of human mitochondrial non-synonymous variants.

Authors:  Stefano Castellana; Judit Rónai; Tommaso Mazza
Journal:  Hum Mutat       Date:  2014-12-17       Impact factor: 4.878

3.  Progressive increase in mtDNA 3243A>G heteroplasmy causes abrupt transcriptional reprogramming.

Authors:  Martin Picard; Jiangwen Zhang; Saege Hancock; Olga Derbeneva; Ryan Golhar; Pawel Golik; Sean O'Hearn; Shawn Levy; Prasanth Potluri; Maria Lvova; Antonio Davila; Chun Shi Lin; Juan Carlos Perin; Eric F Rappaport; Hakon Hakonarson; Ian A Trounce; Vincent Procaccio; Douglas C Wallace
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-05       Impact factor: 11.205

4.  Phylogenetic analysis of Leber's hereditary optic neuropathy mitochondrial DNA's indicates multiple independent occurrences of the common mutations.

Authors:  M D Brown; A Torroni; C L Reckord; D C Wallace
Journal:  Hum Mutat       Date:  1995       Impact factor: 4.878

5.  PON-mt-tRNA: a multifactorial probability-based method for classification of mitochondrial tRNA variations.

Authors:  Abhishek Niroula; Mauno Vihinen
Journal:  Nucleic Acids Res       Date:  2016-02-03       Impact factor: 16.971

6.  Exome sequencing identifies ACAD9 mutations as a cause of complex I deficiency.

Authors:  Tobias B Haack; Katharina Danhauser; Birgit Haberberger; Jonathan Hoser; Valentina Strecker; Detlef Boehm; Graziella Uziel; Eleonora Lamantea; Federica Invernizzi; Joanna Poulton; Boris Rolinski; Arcangela Iuso; Saskia Biskup; Thorsten Schmidt; Hans-Werner Mewes; Ilka Wittig; Thomas Meitinger; Massimo Zeviani; Holger Prokisch
Journal:  Nat Genet       Date:  2010-11-07       Impact factor: 38.330

7.  HmtDB 2016: data update, a better performing query system and human mitochondrial DNA haplogroup predictor.

Authors:  Rosanna Clima; Roberto Preste; Claudia Calabrese; Maria Angela Diroma; Mariangela Santorsola; Gaetano Scioscia; Domenico Simone; Lishuang Shen; Giuseppe Gasparre; Marcella Attimonelli
Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

8.  Evaluation of in silico algorithms for use with ACMG/AMP clinical variant interpretation guidelines.

Authors:  Rajarshi Ghosh; Ninad Oak; Sharon E Plon
Journal:  Genome Biol       Date:  2017-11-28       Impact factor: 13.583

9.  mtDNA heteroplasmy level and copy number indicate disease burden in m.3243A>G mitochondrial disease.

Authors:  John P Grady; Sarah J Pickett; Yi Shiau Ng; Charlotte L Alston; Emma L Blakely; Steven A Hardy; Catherine L Feeney; Alexandra A Bright; Andrew M Schaefer; Gráinne S Gorman; Richard Jq McNally; Robert W Taylor; Doug M Turnbull; Robert McFarland
Journal:  EMBO Mol Med       Date:  2018-06       Impact factor: 12.137

10.  The presence of highly disruptive 16S rRNA mutations in clinical samples indicates a wider role for mutations of the mitochondrial ribosome in human disease.

Authors:  Joanna L Elson; Paul M Smith; Laura C Greaves; Robert N Lightowlers; Zofia M A Chrzanowska-Lightowlers; Robert W Taylor; Antón Vila-Sanjurjo
Journal:  Mitochondrion       Date:  2015-09-05       Impact factor: 4.160

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  2 in total

Review 1.  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
Journal:  Curr Issues Mol Biol       Date:  2022-02-27       Impact factor: 2.976

2.  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

  2 in total

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