Literature DB >> 17079878

Chip-based mtDNA mutation screening enables fast and reliable genetic diagnosis of OXPHOS patients.

Rudy G E van Eijsden1, Mike Gerards, Lars M T Eijssen, Alexandra T M Hendrickx, Roselie J E Jongbloed, John H J Wokke, Rogier Q Hintzen, Maria E Rubio-Gozalbo, Irenaeus F M De Coo, Egill Briem, Valeria Tiranti, Hubert J M Smeets.   

Abstract

PURPOSE: Oxidative phosphorylation is under dual genetic control of the nuclear and the mitochondrial DNA (mtDNA). Oxidative phosphorylation disorders are clinically and genetically heterogeneous, which makes it difficult to determine the genetic defect, and symptom-based protocols which link clinical symptoms directly to a specific gene or mtDNA mutation are falling short. Moreover, approximately 25% of the pediatric patients with oxidative phosphorylation disorders is estimated to have mutations in the mtDNA and a standard screening approach for common mutations and deletions will only explain part of these cases. Therefore, we tested a new CHIP-based screening method for the mtDNA.
METHODS: MitoChip (Affymetrix) resequencing was performed on three test samples and on 28 patient samples.
RESULTS: Call rates were 94% on average and heteroplasmy detection levels varied from 5-50%. A genetic diagnosis can be made in almost one-quarter of the patients at a potential output of 8 complete mtDNA sequences every 4 days. Moreover, a number of potentially pathogenic unclassified variants (UV) were detected.
CONCLUSIONS: The availability of long-range PCR protocols and the predominance of single nucleotide substitutions in the mtDNA make the resequencing CHIP a very fast and reliable method to screen the complete mtDNA for mutations.

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Year:  2006        PMID: 17079878     DOI: 10.1097/01.gim.0000237782.94878.05

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  12 in total

1.  Large scale mtDNA sequencing reveals sequence and functional conservation as major determinants of homoplasmic mtDNA variant distribution.

Authors:  A M Voets; B J C van den Bosch; A P Stassen; A T Hendrickx; D M Hellebrekers; L Van Laer; E Van Eyken; G Van Camp; A Pyle; S V Baudouin; P F Chinnery; H J M Smeets
Journal:  Mitochondrion       Date:  2011-09-17       Impact factor: 4.160

2.  MITOMASTER: a bioinformatics tool for the analysis of mitochondrial DNA sequences.

Authors:  Marty C Brandon; Eduardo Ruiz-Pesini; Dan Mishmar; Vincent Procaccio; Marie T Lott; Kevin Cuong Nguyen; Syawal Spolim; Upen Patil; Pierre Baldi; Douglas C Wallace
Journal:  Hum Mutat       Date:  2009-01       Impact factor: 4.878

3.  Mitochondrial DNA mutations in pancreatic cancer.

Authors:  Keyanoosh Kassauei; Nils Habbe; Michael E Mullendore; Collins A Karikari; Anirban Maitra; Georg Feldmann
Journal:  Int J Gastrointest Cancer       Date:  2006

4.  MtSNPscore: a combined evidence approach for assessing cumulative impact of mitochondrial variations in disease.

Authors:  Anshu Bhardwaj; Mitali Mukerji; Shipra Sharma; Jinny Paul; Chaitanya S Gokhale; Achal K Srivastava; Shrish Tiwari
Journal:  BMC Bioinformatics       Date:  2009-08-27       Impact factor: 3.169

Review 5.  Biochemical diagnosis of mitochondrial disorders.

Authors:  Richard J T Rodenburg
Journal:  J Inherit Metab Dis       Date:  2010-05-04       Impact factor: 4.982

6.  Mitochondrial abnormalities in temporal lobe of autistic brain.

Authors:  Guomei Tang; Puri Gutierrez Rios; Sheng-Han Kuo; Hasan Orhan Akman; Gorazd Rosoklija; Kurenai Tanji; Andrew Dwork; Eric A Schon; Salvatore Dimauro; James Goldman; David Sulzer
Journal:  Neurobiol Dis       Date:  2013-01-17       Impact factor: 5.996

7.  Whole-mitochondrial genome sequencing in primary open-angle glaucoma using massively parallel sequencing identifies novel and known pathogenic variants.

Authors:  Periasamy Sundaresan; David A Simpson; Chitra Sambare; Seamus Duffy; Judith Lechner; Aditi Dastane; Edward W Dervan; Neeru Vallabh; Vidya Chelerkar; Madan Deshpande; Colm O'Brien; Amy Jayne McKnight; Colin E Willoughby
Journal:  Genet Med       Date:  2014-09-18       Impact factor: 8.822

8.  Detection of genomic variation by selection of a 9 mb DNA region and high throughput sequencing.

Authors:  Sergey I Nikolaev; Christian Iseli; Andrew J Sharp; Daniel Robyr; Jacques Rougemont; Corinne Gehrig; Laurent Farinelli; Stylianos E Antonarakis
Journal:  PLoS One       Date:  2009-08-17       Impact factor: 3.240

9.  MitoLSDB: a comprehensive resource to study genotype to phenotype correlations in human mitochondrial DNA variations.

Authors:  Shamnamole K; Saakshi Jalali; Vinod Scaria; Anshu Bhardwaj
Journal:  PLoS One       Date:  2013-04-09       Impact factor: 3.240

10.  Facile whole mitochondrial genome resequencing from nipple aspirate fluid using MitoChip v2.0.

Authors:  John P Jakupciak; Andrea Maggrah; Samantha Maragh; Jennifer Maki; Brian Reguly; Katrina Maki; Roy Wittock; Kerry Robinson; Paul D Wagner; Robert E Thayer; Ken Gehman; Teresa Gehman; Sudhir Srivastava; Alioune Ngom; Gabriel D Dakubo; Ryan L Parr
Journal:  BMC Cancer       Date:  2008-04-10       Impact factor: 4.430

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