Evidence map›Paper›PMID 21699709›Full record

ArticleGenome biology2011

Dynamics of mitochondrial heteroplasmy in three families investigated via a repeatable re-sequencing study.

Hiroki Goto, Benjamin Dickins, Enis Afgan, Ian M Paul, James Taylor, Kateryna D Makova, Anton Nekrutenko

Abstract read
In one paragraph

Article in Genome biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

67 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. High-frequency and functional mitochondrial DNA mutations at the single-cell level.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. Mitochondrial DNA variation and cancer.Nature reviews. Cancer · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Genome sequence and analysis ofMetabolic engineering communications · 2017
    Article
  16. Article
  17. Mitochondrial DNA variants in colorectal carcinogenesis: Drivers or passengers?Journal of cancer research and clinical oncology · 2017
    Review
  18. Article
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hiroki GotoThe Huck Institutes of Life Sciences and Department of Biology, Penn State University, 305 Wartik Lab, University Park, PA 16802, USA.
Benjamin Dickins
Enis Afgan
Ian M Paul
James Taylor
Kateryna D Makova
Anton Nekrutenko

Funding

Molecular, Cellular, & Developmental Dynamics PhD ProgramT32GM007226 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI VAN VACTOR, DAVID L. · 1985 to 2021
$14.4M
Dynamically scalable accessible analysis for next generation sequence dataRC2HG005542 · NHGRI · EMORY UNIVERSITY · PI NEKRUTENKO, ANTON, TAYLOR, JAMES PETER · 2009 to 2010
$1.5M
An Efficient Lightweight Environment for Biomedical ComputationR01HG004909 · NHGRI · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON · 2009 to 2011
$1.3M
A Turnkey Solution for Next Generation Sequence Data AnalysisR21HG005133 · NHGRI · EMORY UNIVERSITY · PI TAYLOR, JAMES PETER · 2009 to 2010
$445k
NHGRI NIH HHS HG004909NHGRI NIH HHS HG005133NHGRI NIH HHS HG005542NIGMS NIH HHS GM07226405S2
6 · The paper itself

Abstract

backgroundOriginally believed to be a rare phenomenon, heteroplasmy - the presence of more than one mitochondrial DNA (mtDNA) variant within a cell, tissue, or individual - is emerging as an important component of eukaryotic genetic diversity. Heteroplasmies can be used as genetic markers in applications ranging from forensics to cancer diagnostics. Yet the frequency of heteroplasmic alleles may vary from generation to generation due to the bottleneck occurring during oogenesis. Therefore, to understand the alterations in allele frequencies at heteroplasmic sites, it is of critical importance to investigate the dynamics of maternal mtDNA transmission.

resultsHere we sequenced, at high coverage, mtDNA from blood and buccal tissues of nine individuals from three families with a total of six maternal transmission events. Using simulations and re-sequencing of clonal DNA, we devised a set of criteria for detecting polymorphic sites in heterogeneous genetic samples that is resistant to the noise originating from massively parallel sequencing technologies. Application of these criteria to nine human mtDNA samples revealed four heteroplasmic sites.

conclusionsOur results suggest that the incidence of heteroplasmy may be lower than estimated in some other recent re-sequencing studies, and that mtDNA allelic frequencies differ significantly both between tissues of the same individual and between a mother and her offspring. We designed our study in such a way that the complete analysis described here can be repeated by anyone either at our site or directly on the Amazon Cloud. Our computational pipeline can be easily modified to accommodate other applications, such as viral re-sequencing.

Indexed as

Computer SimulationModels, GeneticAllelesBase SequenceDNA, MitochondrialFemaleGene FrequencyGenome, MitochondrialHaplotypesHeredityHigh-Throughput Nucleotide SequencingHumansIncidenceMitochondrial DiseasesMolecular Sequence DataPedigreeDNA, Mitochondrial

Identifiers

PMID21699709
PMCPMC3218847

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.