Literature DB >> 22736028

Mitochondrial DNA heteroplasmy in diabetes and normal adults: role of acquired and inherited mutational patterns in twins.

Gal Avital1, Mor Buchshtav, Ilia Zhidkov, Jeanette Tuval Feder, Sarah Dadon, Eitan Rubin, Dan Glass, Timothy D Spector, Dan Mishmar.   

Abstract

Heteroplasmy, the mixture of mitochondrial genomes (mtDNA), varies among individuals and cells. Heteroplasmy levels alter the penetrance of pathological mtDNA mutations, and the susceptibility to age-related diseases such as Parkinson's disease. Although mitochondrial dysfunction occurs in age-related type 2 diabetes mellitus (T2DM), the involvement of heteroplasmy in diabetes is unclear. We hypothesized that the heteroplasmic mutational (HM) pattern may change in T2DM. To test this, we used next-generation sequencing, i.e. massive parallel sequencing (MPS), along with PCR-cloning-Sanger sequencing to analyze HM in blood and skeletal muscle DNA samples from monozygotic (MZ) twins either concordant or discordant for T2DM. Great variability was identified in the repertoires and amounts of HMs among individuals, with a tendency towards more mutations in skeletal muscle than in blood. Whereas many HMs were unique, many were either shared among twin pairs or among tissues of the same individual, regardless of their prevalence. This suggested a heritable influence on even low abundance HMs. We found no clear differences between T2DM and controls. However, we found ~5-fold increase of HMs in non-coding sequences implying the influence of negative selection (P < 0.001). This negative selection was evident both in moderate to highly abundant heteroplasmy (>5% of the molecules per sample) and in low abundance heteroplasmy (<5% of the molecules). Although our study found no evidence supporting the involvement of HMs in the etiology of T2DM, the twin study found clear evidence of a heritable influence on the accumulation of HMs as well as the signatures of selection in heteroplasmic mutations.

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Year:  2012        PMID: 22736028      PMCID: PMC3441121          DOI: 10.1093/hmg/dds245

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  40 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-14       Impact factor: 11.205

2.  Comprehensive association testing of common mitochondrial DNA variation in metabolic disease.

Authors:  Richa Saxena; Paul I W de Bakker; Karyn Singer; Vamsi Mootha; Noel Burtt; Joel N Hirschhorn; Daniel Gaudet; Bo Isomaa; Mark J Daly; Leif Groop; Kristin G Ardlie; David Altshuler
Journal:  Am J Hum Genet       Date:  2006-05-24       Impact factor: 11.025

3.  Level of heteroplasmy for the mitochondrial mutation A3243G correlates with age at onset of diabetes and deafness.

Authors:  C Olsson; B Zethelius; M Lagerström-Fermér; J Asplund; C Berne; U Landegren
Journal:  Hum Mutat       Date:  1998       Impact factor: 4.878

4.  Evidence that BMI and type 2 diabetes share only a minor fraction of genetic variance: a follow-up study of 23,585 monozygotic and dizygotic twins from the Finnish Twin Cohort Study.

Authors:  M Lehtovirta; K H Pietiläinen; E Levälahti; K Heikkilä; L Groop; K Silventoinen; M Koskenvuo; J Kaprio
Journal:  Diabetologia       Date:  2010-04-17       Impact factor: 10.122

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.  An investigation of the variation in the transition bias among various animal mitochondrial DNA.

Authors:  Elise M S Belle; Gwenael Piganeau; Mike Gardner; Adam Eyre-Walker
Journal:  Gene       Date:  2005-08-01       Impact factor: 3.688

7.  Alzheimer's brains harbor somatic mtDNA control-region mutations that suppress mitochondrial transcription and replication.

Authors:  Pinar E Coskun; M Flint Beal; Douglas C Wallace
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-09       Impact factor: 11.205

8.  Cohort Profile: TwinsUK and healthy ageing twin study.

Authors:  Alireza Moayyeri; Christopher J Hammond; Ana M Valdes; Timothy D Spector
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9.  Heteroplasmic mitochondrial DNA mutations in normal and tumour cells.

Authors:  Yiping He; Jian Wu; Devin C Dressman; Christine Iacobuzio-Donahue; Sanford D Markowitz; Victor E Velculescu; Luis A Diaz; Kenneth W Kinzler; Bert Vogelstein; Nickolas Papadopoulos
Journal:  Nature       Date:  2010-03-03       Impact factor: 49.962

10.  A twin study of mitochondrial DNA polymorphisms shows that heteroplasmy at multiple sites is associated with mtDNA variant 16093 but not with zygosity.

Authors:  Toby Andrew; Cassandra D Calloway; Sarah Stuart; Sang Hoon Lee; Raj Gill; Gail Clement; Philip Chowienczyk; Tim D Spector; Ana M Valdes
Journal:  PLoS One       Date:  2011-08-03       Impact factor: 3.240

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  41 in total

1.  The genomic landscape of polymorphic human nuclear mitochondrial insertions.

Authors:  Gargi Dayama; Sarah B Emery; Jeffrey M Kidd; Ryan E Mills
Journal:  Nucleic Acids Res       Date:  2014-10-27       Impact factor: 16.971

Review 2.  Mitonuclear interactions: evolutionary consequences over multiple biological scales.

Authors:  Jonci N Wolff; Emmanuel D Ladoukakis; José A Enríquez; Damian K Dowling
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-07-05       Impact factor: 6.237

3.  Heteroplasmic shifts in tumor mitochondrial genomes reveal tissue-specific signals of relaxed and positive selection.

Authors:  Sneha Grandhi; Colleen Bosworth; Wesley Maddox; Cole Sensiba; Sara Akhavanfard; Ying Ni; Thomas LaFramboise
Journal:  Hum Mol Genet       Date:  2017-08-01       Impact factor: 6.150

4.  mtDNA Heteroplasmy in Monozygotic Twins Discordant for Schizophrenia.

Authors:  Hong Li; Rui Bi; Yu Fan; Yong Wu; Yanqing Tang; Zongchang Li; Ying He; Jun Zhou; Jinsong Tang; Xiaogang Chen; Yong-Gang Yao
Journal:  Mol Neurobiol       Date:  2016-06-24       Impact factor: 5.590

5.  Maternal age effect and severe germ-line bottleneck in the inheritance of human mitochondrial DNA.

Authors:  Boris Rebolledo-Jaramillo; Marcia Shu-Wei Su; Nicholas Stoler; Jennifer A McElhoe; Benjamin Dickins; Daniel Blankenberg; Thorfinn S Korneliussen; Francesca Chiaromonte; Rasmus Nielsen; Mitchell M Holland; Ian M Paul; Anton Nekrutenko; Kateryna D Makova
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-13       Impact factor: 11.205

6.  Peripheral blood mitochondrial DNA copy number, length heteroplasmy and breast cancer risk: a replication study.

Authors:  Jie Shen; Jie Wan; Renduo Song; Hua Zhao
Journal:  Carcinogenesis       Date:  2015-09-10       Impact factor: 4.944

Review 7.  Omics technologies and the study of human ageing.

Authors:  Ana M Valdes; Daniel Glass; Tim D Spector
Journal:  Nat Rev Genet       Date:  2013-08-13       Impact factor: 53.242

8.  Controlling for contamination in re-sequencing studies with a reproducible web-based phylogenetic approach.

Authors:  Benjamin Dickins; Boris Rebolledo-Jaramillo; Marcia Shu-Wei Su; Ian M Paul; Daniel Blankenberg; Nicholas Stoler; Kateryna D Makova; Anton Nekrutenko
Journal:  Biotechniques       Date:  2014-03-01       Impact factor: 1.993

9.  Clinical and molecular features of two diabetes families carrying mitochondrial ND1 T3394C mutation.

Authors:  Xiaohong You; Xueming Huang; Luowen Bi; Rui Li; Lin Zheng; Changzheng Xin
Journal:  Ir J Med Sci       Date:  2021-04-11       Impact factor: 1.568

10.  Quantitative assessment of mitochondrial DNA copies from whole genome sequencing.

Authors:  Hsueh-Ting Chu; William W L Hsiao; Theresa T H Tsao; Ching-Mao Chang; Yen-Wenn Liu; Chen-Chieh Fan; Han Lin; Hen-Hong Chang; Tze-Jung Yeh; Jen-Chih Chen; Dun-Ming Huang; Chaur-Chin Chen; Cheng-Yan Kao
Journal:  BMC Genomics       Date:  2012-12-13       Impact factor: 3.969

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