Literature DB >> 33513442

Comparison of whole genome sequencing and targeted sequencing for mitochondrial DNA.

Ruoying Chen1, Micheala A Aldred2, Weiling Xu3, Joe Zein4, Peter Bazeley1, Suzy A A Comhair3, Deborah A Meyers5, Eugene R Bleecker5, Chunyu Liu6, Serpil C Erzurum7, Bo Hu8.   

Abstract

Mitochondrial dysfunction has emerged to be associated with a broad spectrum of diseases, and there is an increasing demand for accurate detection of mitochondrial DNA (mtDNA) variants. Whole genome sequencing (WGS) has been the dominant sequencing approach to identify genetic variants in recent decades, but most studies focus on variants on the nuclear genome. Whole genome sequencing is also costly and time consuming. Sequencing specifically targeted for mtDNA is commonly used in the diagnostic settings and has lower costs. However, there is a lack of pairwise comparisons between these two sequencing approaches for calling mtDNA variants on a population basis. In this study, we compared WGS and mtDNA-targeted sequencing (targeted-seq) in analyzing mitochondrial DNA from 1499 participants recruited into the Severe Asthma Research Program (SARP). Our study reveals that targeted-sequencing and WGS have comparable capacity to determine genotypes and to call haplogroups and homoplasmies on mtDNA. However, there exists a large variability in calling heteroplasmies, especially for low-frequency heteroplasmies, which indicates that investigators should be cautious about heteroplasmies acquired from different sequencing methods. Further research is highly desired to improve variant detection methods for mitochondrial DNA.
Copyright © 2021 Elsevier B.V. and Mitochondria Research Society. All rights reserved.

Entities:  

Keywords:  Asthma; Mitochondrial DNA; Targeted sequencing; Whole genome sequencing

Mesh:

Substances:

Year:  2021        PMID: 33513442      PMCID: PMC8354572          DOI: 10.1016/j.mito.2021.01.006

Source DB:  PubMed          Journal:  Mitochondrion        ISSN: 1567-7249            Impact factor:   4.160


  39 in total

1.  Clonally expanded mtDNA point mutations are abundant in individual cells of human tissues.

Authors:  Ekaterina Nekhaeva; Natalya D Bodyak; Yevgenya Kraytsberg; Sean B McGrath; Nathalie J Van Orsouw; Anna Pluzhnikov; Jeanne Y Wei; Jan Vijg; Konstantin Khrapko
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-09       Impact factor: 11.205

Review 2.  Mitochondrial DNA mutations in human disease.

Authors:  Robert W Taylor; Doug M Turnbull
Journal:  Nat Rev Genet       Date:  2005-05       Impact factor: 53.242

3.  Evaluating heteroplasmic variations of the mitochondrial genome from whole genome sequencing data.

Authors:  Mengqin Duan; Liang Chen; Qinyu Ge; Na Lu; Junji Li; Xuan Pan; Yi Qiao; Jing Tu; Zuhong Lu
Journal:  Gene       Date:  2019-03-13       Impact factor: 3.688

Review 4.  A mitochondrial paradigm of metabolic and degenerative diseases, aging, and cancer: a dawn for evolutionary medicine.

Authors:  Douglas C Wallace
Journal:  Annu Rev Genet       Date:  2005       Impact factor: 16.830

5.  Detecting heteroplasmy from high-throughput sequencing of complete human mitochondrial DNA genomes.

Authors:  Mingkun Li; Anna Schönberg; Michael Schaefer; Roland Schroeder; Ivane Nasidze; Mark Stoneking
Journal:  Am J Hum Genet       Date:  2010-08-13       Impact factor: 11.025

6.  Mitochondrial replacement in human oocytes carrying pathogenic mitochondrial DNA mutations.

Authors:  Eunju Kang; Jun Wu; Nuria Marti Gutierrez; Amy Koski; Rebecca Tippner-Hedges; Karen Agaronyan; Aida Platero-Luengo; Paloma Martinez-Redondo; Hong Ma; Yeonmi Lee; Tomonari Hayama; Crystal Van Dyken; Xinjian Wang; Shiyu Luo; Riffat Ahmed; Ying Li; Dongmei Ji; Refik Kayali; Cengiz Cinnioglu; Susan Olson; Jeffrey Jensen; David Battaglia; David Lee; Diana Wu; Taosheng Huang; Don P Wolf; Dmitry Temiakov; Juan Carlos Izpisua Belmonte; Paula Amato; Shoukhrat Mitalipov
Journal:  Nature       Date:  2016-11-30       Impact factor: 49.962

7.  Baseline Features of the Severe Asthma Research Program (SARP III) Cohort: Differences with Age.

Authors:  W Gerald Teague; Brenda R Phillips; John V Fahy; Sally E Wenzel; Anne M Fitzpatrick; Wendy C Moore; Annette T Hastie; Eugene R Bleecker; Deborah A Meyers; Stephen P Peters; Mario Castro; Andrea M Coverstone; Leonard B Bacharier; Ngoc P Ly; Michael C Peters; Loren C Denlinger; Sima Ramratnam; Ronald L Sorkness; Benjamin M Gaston; Serpil C Erzurum; Suzy A A Comhair; Ross E Myers; Joe Zein; Mark D DeBoer; Anne-Marie Irani; Elliot Israel; Bruce Levy; Juan Carlos Cardet; Wanda Phipatanakul; Jonathan M Gaffin; Fernando Holguin; Merritt L Fajt; Shean J Aujla; David T Mauger; Nizar N Jarjour
Journal:  J Allergy Clin Immunol Pract       Date:  2017-08-31

Review 8.  Mitochondrial DNA heteroplasmy in the emerging field of massively parallel sequencing.

Authors:  Rebecca S Just; Jodi A Irwin; Walther Parson
Journal:  Forensic Sci Int Genet       Date:  2015-05-06       Impact factor: 4.882

9.  Accurate mitochondrial DNA sequencing using off-target reads provides a single test to identify pathogenic point mutations.

Authors:  Helen R Griffin; Angela Pyle; Emma L Blakely; Charlotte L Alston; Jennifer Duff; Gavin Hudson; Rita Horvath; Ian J Wilson; Mauro Santibanez-Koref; Robert W Taylor; Patrick F Chinnery
Journal:  Genet Med       Date:  2014-06-05       Impact factor: 8.822

10.  Next-generation sequencing identifies novel mitochondrial variants in pituitary adenomas.

Authors:  K Németh; O Darvasi; I Likó; N Szücs; S Czirják; L Reiniger; B Szabó; P A Kurucz; L Krokker; P Igaz; A Patócs; H Butz
Journal:  J Endocrinol Invest       Date:  2019-01-25       Impact factor: 4.256

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  2 in total

1.  Advanced approach for comprehensive mtDNA genome testing in mitochondrial disease.

Authors:  Jing Wang; Jorune Balciuniene; Maria Alejandra Diaz-Miranda; Elizabeth M McCormick; Erfan Aref-Eshghi; Alison M Muir; Kajia Cao; Juliana Troiani; Alicia Moseley; Zhiqian Fan; Zarazuela Zolkipli-Cunningham; Amy Goldstein; Rebecca D Ganetzky; Colleen C Muraresku; James T Peterson; Nancy B Spinner; Douglas C Wallace; Matthew C Dulik; Marni J Falk
Journal:  Mol Genet Metab       Date:  2021-12-18       Impact factor: 4.204

2.  Examining the Association between Mitochondrial Genome Variation and Coronary Artery Disease.

Authors:  Baiba Vilne; Aniket Sawant; Irina Rudaka
Journal:  Genes (Basel)       Date:  2022-03-15       Impact factor: 4.096

  2 in total

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