Evidence map›Paper›PMID 24859348›Full record

ReviewMitochondrion2014

High-throughput sequencing in mitochondrial DNA research.

Fei Ye, David C Samuels, Travis Clark, Yan Guo

Abstract readReview
In one paragraph

Review in Mitochondrion, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Comparative analysis between highFrontiers in oncology · 2023
    Article
  8. Article
  9. Article
  10. Complete Mitogenome ofJournal of nematology · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Complete Mitochondrial Genome of Three Species of the GenusAnimals : an open access journal from MDPI · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

4 authors.

Fei YeDepartment of Biostatistics, Vanderbilt University, Nashville, TN 37232, USA.
David C SamuelsCenter for Human Genetics, Vanderbilt University, Nashville, TN 37232, USA.
Travis ClarkVanderbilt Technology for Advanced Genomics, Vanderbilt University, Nashville, TN 37232, USA.
Yan GuoDepartment of Cancer Biology, Vanderbilt University, Nashville, TN 37232, USA.

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
NCI NIH HHS P30 CA068485
6 · The paper itself

Abstract

Next-generation sequencing, also known as high-throughput sequencing, has greatly enhanced researchers' ability to conduct biomedical research on all levels. Mitochondrial research has also benefitted greatly from high-throughput sequencing; sequencing technology now allows for screening of all 16,569 base pairs of the mitochondrial genome simultaneously for SNPs and low level heteroplasmy and, in some cases, the estimation of mitochondrial DNA copy number. It is important to realize the full potential of high-throughput sequencing for the advancement of mitochondrial research. To this end, we review how high-throughput sequencing has impacted mitochondrial research in the categories of SNPs, low level heteroplasmy, copy number, and structural variants. We also discuss the different types of mitochondrial DNA sequencing and their pros and cons. Based on previous studies conducted by various groups, we provide strategies for processing mitochondrial DNA sequencing data, including assembly, variant calling, and quality control.

Indexed as

DNA Copy Number VariationsDNA, MitochondrialGenetic VariationHigh-Throughput Nucleotide SequencingHumansMitochondrial DiseasesPolymorphism, Single NucleotideDNA, MitochondrialCopy numberHeteroplasmyHigh throughput sequencingMutationNext generation sequencingSNP

Identifiers

PMID24859348
PMCPMC4149223

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.