mtDNA mutations in human aging and longevity: Controversies and new perspectives opened by high-throughput technologies

The last 30years of research greatly contributed to shed light on the role of mitochondrial DNA (mtDNA) variability in aging, although contrasting results have been reported, mainly due to bias regarding the population size and stratification, and to the use of analysis methods (haplogroup classific...

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Published inExperimental gerontology Vol. 56; pp. 234 - 244
Main Authors Sevini, Federica, Giuliani, Cristina, Vianello, Dario, Giampieri, Enrico, Santoro, Aurelia, Biondi, Fiammetta, Garagnani, Paolo, Passarino, Giuseppe, Luiselli, Donata, Capri, Miriam, Franceschi, Claudio, Salvioli, Stefano
Format Journal Article
LanguageEnglish
Published England Elsevier Inc 01.08.2014
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Online AccessGet full text
ISSN0531-5565
1873-6815
1873-6815
DOI10.1016/j.exger.2014.03.022

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Abstract The last 30years of research greatly contributed to shed light on the role of mitochondrial DNA (mtDNA) variability in aging, although contrasting results have been reported, mainly due to bias regarding the population size and stratification, and to the use of analysis methods (haplogroup classification) that resulted to be not sufficiently adequate to grasp the complexity of the phenomenon. A 5-years European study (the GEHA EU project) collected and analyzed data on mtDNA variability on an unprecedented number of long-living subjects (enriched for longevity genes) and a comparable number of controls (matched for gender and ethnicity) in Europe. This very large study allowed a reappraisal of the role of both the inherited and the somatic mtDNA variability in aging, as an association with longevity emerged only when mtDNA variants in OXPHOS complexes co-occurred. Moreover, the availability of data from both nuclear and mitochondrial genomes on a large number of subjects paves the way for an evaluation at a very large scale of the epistatic interactions at a higher level of complexity. This scenario is expected to be even more clarified in the next future with the use of next generation sequencing (NGS) techniques, which are becoming applicable to evaluate mtDNA variability and, then, new mathematical/bioinformatic analysis methods are urgently needed. Recent advances of association studies on age-related diseases and mtDNA variability will also be discussed in this review, taking into account the bias hidden by population stratification. Finally, very recent findings in terms of mtDNA heteroplasmy (i.e. the coexistence of wild type and mutated copies of mtDNA) and aging as well as mitochondrial epigenetic mechanisms will also be discussed. •Aggregate effects of rare mtDNA mutations can be evaluated only on complete sequences.•Recurrent or sporadic mutations accumulated in OXPHOS genes may influence longevity.•NGS, large cohorts and matched controls are essential to spot association with phenotypes.•Big data analysis for mtDNA still lack adequate methods.
AbstractList The last 30 years of research greatly contributed to shed light on the role of mitochondrial DNA (mtDNA) variability in aging, although contrasting results have been reported, mainly due to bias regarding the population size and stratification, and to the use of analysis methods (haplogroup classification) that resulted to be not sufficiently adequate to grasp the complexity of the phenomenon. A 5-years European study (the GEHA EU project) collected and analyzed data on mtDNA variability on an unprecedented number of long-living subjects (enriched for longevity genes) and a comparable number of controls (matched for gender and ethnicity) in Europe. This very large study allowed a reappraisal of the role of both the inherited and the somatic mtDNA variability in aging, as an association with longevity emerged only when mtDNA variants in OXPHOS complexes co-occurred. Moreover, the availability of data from both nuclear and mitochondrial genomes on a large number of subjects paves the way for an evaluation at a very large scale of the epistatic interactions at a higher level of complexity. This scenario is expected to be even more clarified in the next future with the use of next generation sequencing (NGS) techniques, which are becoming applicable to evaluate mtDNA variability and, then, new mathematical/bioinformatic analysis methods are urgently needed. Recent advances of association studies on age-related diseases and mtDNA variability will also be discussed in this review, taking into account the bias hidden by population stratification. Finally, very recent findings in terms of mtDNA heteroplasmy (i.e. the coexistence of wild type and mutated copies of mtDNA) and aging as well as mitochondrial epigenetic mechanisms will also be discussed.
The last 30 years of research greatly contributed to shed light on the role of mitochondrial DNA (mtDNA) variability in aging, although contrasting results have been reported, mainly due to bias regarding the population size and stratification, and to the use of analysis methods (haplogroup classification) that resulted to be not sufficiently adequate to grasp the complexity of the phenomenon. A 5-years European study (the GEHA EU project) collected and analyzed data on mtDNA variability on an unprecedented number of long-living subjects (enriched for longevity genes) and a comparable number of controls (matched for gender and ethnicity) in Europe. This very large study allowed a reappraisal of the role of both the inherited and the somatic mtDNA variability in aging, as an association with longevity emerged only when mtDNA variants in OXPHOS complexes co-occurred. Moreover, the availability of data from both nuclear and mitochondrial genomes on a large number of subjects paves the way for an evaluation at a very large scale of the epistatic interactions at a higher level of complexity. This scenario is expected to be even more clarified in the next future with the use of next generation sequencing (NGS) techniques, which are becoming applicable to evaluate mtDNA variability and, then, new mathematical/bioinformatic analysis methods are urgently needed. Recent advances of association studies on age-related diseases and mtDNA variability will also be discussed in this review, taking into account the bias hidden by population stratification. Finally, very recent findings in terms of mtDNA heteroplasmy (i.e. the coexistence of wild type and mutated copies of mtDNA) and aging as well as mitochondrial epigenetic mechanisms will also be discussed.The last 30 years of research greatly contributed to shed light on the role of mitochondrial DNA (mtDNA) variability in aging, although contrasting results have been reported, mainly due to bias regarding the population size and stratification, and to the use of analysis methods (haplogroup classification) that resulted to be not sufficiently adequate to grasp the complexity of the phenomenon. A 5-years European study (the GEHA EU project) collected and analyzed data on mtDNA variability on an unprecedented number of long-living subjects (enriched for longevity genes) and a comparable number of controls (matched for gender and ethnicity) in Europe. This very large study allowed a reappraisal of the role of both the inherited and the somatic mtDNA variability in aging, as an association with longevity emerged only when mtDNA variants in OXPHOS complexes co-occurred. Moreover, the availability of data from both nuclear and mitochondrial genomes on a large number of subjects paves the way for an evaluation at a very large scale of the epistatic interactions at a higher level of complexity. This scenario is expected to be even more clarified in the next future with the use of next generation sequencing (NGS) techniques, which are becoming applicable to evaluate mtDNA variability and, then, new mathematical/bioinformatic analysis methods are urgently needed. Recent advances of association studies on age-related diseases and mtDNA variability will also be discussed in this review, taking into account the bias hidden by population stratification. Finally, very recent findings in terms of mtDNA heteroplasmy (i.e. the coexistence of wild type and mutated copies of mtDNA) and aging as well as mitochondrial epigenetic mechanisms will also be discussed.
The last 30years of research greatly contributed to shed light on the role of mitochondrial DNA (mtDNA) variability in aging, although contrasting results have been reported, mainly due to bias regarding the population size and stratification, and to the use of analysis methods (haplogroup classification) that resulted to be not sufficiently adequate to grasp the complexity of the phenomenon. A 5-years European study (the GEHA EU project) collected and analyzed data on mtDNA variability on an unprecedented number of long-living subjects (enriched for longevity genes) and a comparable number of controls (matched for gender and ethnicity) in Europe. This very large study allowed a reappraisal of the role of both the inherited and the somatic mtDNA variability in aging, as an association with longevity emerged only when mtDNA variants in OXPHOS complexes co-occurred. Moreover, the availability of data from both nuclear and mitochondrial genomes on a large number of subjects paves the way for an evaluation at a very large scale of the epistatic interactions at a higher level of complexity. This scenario is expected to be even more clarified in the next future with the use of next generation sequencing (NGS) techniques, which are becoming applicable to evaluate mtDNA variability and, then, new mathematical/bioinformatic analysis methods are urgently needed. Recent advances of association studies on age-related diseases and mtDNA variability will also be discussed in this review, taking into account the bias hidden by population stratification. Finally, very recent findings in terms of mtDNA heteroplasmy (i.e. the coexistence of wild type and mutated copies of mtDNA) and aging as well as mitochondrial epigenetic mechanisms will also be discussed. •Aggregate effects of rare mtDNA mutations can be evaluated only on complete sequences.•Recurrent or sporadic mutations accumulated in OXPHOS genes may influence longevity.•NGS, large cohorts and matched controls are essential to spot association with phenotypes.•Big data analysis for mtDNA still lack adequate methods.
Author Franceschi, Claudio
Salvioli, Stefano
Passarino, Giuseppe
Vianello, Dario
Giuliani, Cristina
Capri, Miriam
Garagnani, Paolo
Giampieri, Enrico
Luiselli, Donata
Santoro, Aurelia
Sevini, Federica
Biondi, Fiammetta
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/24709341$$D View this record in MEDLINE/PubMed
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IsPeerReviewed true
IsScholarly true
Keywords GWAS
mtDNA
OXPHOS
mtDNA mutations
Mitochondrial DNA
Epistasis
Longevity
Next generation sequencing
polγ
Heteroplasmy
GEHA
ROS
90
nDNA
NGS
Language English
License Copyright © 2014 Elsevier Inc. All rights reserved.
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  day: 01
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PublicationTitle Experimental gerontology
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– volume: 31
  start-page: 1355
  year: 2010
  ident: 10.1016/j.exger.2014.03.022_bb0440
  article-title: Association between mitochondrial DNA variations and Alzheimer's disease in the ADNI cohort
  publication-title: Neurobiol. Aging
  doi: 10.1016/j.neurobiolaging.2010.04.031
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Snippet The last 30years of research greatly contributed to shed light on the role of mitochondrial DNA (mtDNA) variability in aging, although contrasting results have...
The last 30 years of research greatly contributed to shed light on the role of mitochondrial DNA (mtDNA) variability in aging, although contrasting results...
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SubjectTerms Age Factors
Aging - genetics
Aging - metabolism
Computational Biology
DNA Damage
DNA Mutational Analysis
DNA, Mitochondrial - genetics
DNA, Mitochondrial - metabolism
Epigenesis, Genetic
Epistasis
Gene Expression Regulation
Genotype
Heteroplasmy
High-Throughput Nucleotide Sequencing - methods
Humans
Longevity
Longevity - genetics
Mitochondrial DNA
mtDNA mutations
Mutation
Next generation sequencing
Phenotype
Title mtDNA mutations in human aging and longevity: Controversies and new perspectives opened by high-throughput technologies
URI https://dx.doi.org/10.1016/j.exger.2014.03.022
https://www.ncbi.nlm.nih.gov/pubmed/24709341
https://www.proquest.com/docview/1545774081
https://www.proquest.com/docview/1551645386
Volume 56
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