Evidence map›Paper›PMID 25051226›Full record

ArticleForensic science international. Genetics2014

Development and assessment of an optimized next-generation DNA sequencing approach for the mtgenome using the Illumina MiSeq.

Jennifer A McElhoe, Mitchell M Holland, Kateryna D Makova, Marcia Shu-Wei Su, Ian M Paul, Christine H Baker, Seth A Faith, Brian Young

Abstract read
In one paragraph

Article in Forensic science international. Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Review
  2. Forensic genetics in the omics era.Nature reviews. Genetics · 2026
    Review
  3. Article
  4. Article
  5. Article
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  18. Review
  19. Unraveling heteroplasmy patterns with NOVOPlasty.NAR genomics and bioinformatics · 2020
    Article
  20. Article
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

8 authors.

Jennifer A McElhoeForensic Science Program, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: jam760@psu.edu.
Mitchell M HollandForensic Science Program, The Pennsylvania State University, University Park, PA 16802, USA.
Kateryna D MakovaBiology Department, The Pennsylvania State University, University Park, PA 16802, USA.
Marcia Shu-Wei SuBiology Department, The Pennsylvania State University, University Park, PA 16802, USA.
Ian M PaulDepartment of Pediatrics, Penn State College of Medicine, Hershey, PA 17033, USA.
Christine H BakerBattelle, Columbus, OH 43201, USA.
Seth A FaithBattelle, Columbus, OH 43201, USA.
Brian YoungBattelle, Columbus, OH 43201, USA.

Funding

Penn State Clinical and Translational Science InstituteUL1TR000127 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SINOWAY, LAWRENCE I · 2012 to 2015
$17.1M
NCATS NIH HHS UL1 TR000127
6 · The paper itself

Abstract

The development of molecular tools to detect and report mitochondrial DNA (mtDNA) heteroplasmy will increase the discrimination potential of the testing method when applied to forensic cases. The inherent limitations of the current state-of-the-art, Sanger-based sequencing, including constrictions in speed, throughput, and resolution, have hindered progress in this area. With the advent of next-generation sequencing (NGS) approaches, it is now possible to clearly identify heteroplasmic variants, and at a much lower level than previously possible. However, in order to bring these approaches into forensic laboratories and subsequently as accepted scientific information in a court of law, validated methods will be required to produce and analyze NGS data. We report here on the development of an optimized approach to NGS analysis for the mtDNA genome (mtgenome) using the Illumina MiSeq instrument. This optimized protocol allows for the production of more than 5 gigabases of mtDNA sequence per run, sufficient for detection and reliable reporting of minor heteroplasmic variants down to approximately 0.5-1.0% when multiplexing twelve samples. Depending on sample throughput needs, sequence coverage rates can be set at various levels, but were optimized here for at least 5000 reads. In addition, analysis parameters are provided for a commercially available software package that identify the highest quality sequencing reads and effectively filter out sequencing-based noise. With this method it will be possible to measure the rates of low-level heteroplasmy across the mtgenome, evaluate the transmission of heteroplasmy between the generations of maternal lineages, and assess the drift of variant sequences between different tissue types within an individual.

Indexed as

DNA, MitochondrialForensic GeneticsGenome, HumanGenome, MitochondrialHigh-Throughput Nucleotide SequencingHumansSequence AlignmentSequence Analysis, DNASoftwareDNA, MitochondrialHeteroplasmyMiSeqmtDNANexteraNextGENeNext-generation sequencing

Identifiers

PMID25051226
PMCPMC4580234

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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.