Evidence map›Paper›PMID 28441938›Full record

ArticleBMC genomics2017

MitoRS, a method for high throughput, sensitive, and accurate detection of mitochondrial DNA heteroplasmy.

Julien Marquis, Gregory Lefebvre, Yiannis A I Kourmpetis, Mohamed Kassam, Frédéric Ronga, Umberto De Marchi, Andreas Wiederkehr, Patrick Descombes

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
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  7. Article
  8. Review
  9. Article
  10. DNA and protein analyses of hair in forensic genetics.International journal of legal medicine · 2023
    Review
  11. Role of mitochondrial DNA in diabetes Mellitus Type I and Type II.Saudi journal of biological sciences · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. The Role of Mitochondrial Mutations and Chronic Inflammation in Diabetes.International journal of molecular sciences · 2021
    Review
  18. Review
  19. 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 at 1 institution in 1 country.

Julien MarquisFunctional Genomics, Nestlé Institute of Health Sciences, 1015, Lausanne, Switzerland. Julien.marquis@rd.nestle.com.ORCID 0000-0002-2020-1534
Gregory LefebvreFunctional Genomics, Nestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Yiannis A I KourmpetisFunctional Genomics, Nestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Mohamed KassamFunctional Genomics, Nestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Frédéric RongaDigital Nutrition and Health, Nestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Umberto De MarchiMitochondrial Functions, Nestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Andreas WiederkehrMitochondrial Functions, Nestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Patrick DescombesFunctional Genomics, Nestlé Institute of Health Sciences, 1015, Lausanne, Switzerland.
Nestlé (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMitochondrial dysfunction is linked to numerous pathological states, in particular related to metabolism, brain health and ageing. Nuclear encoded gene polymorphisms implicated in mitochondrial functions can be analyzed in the context of classical genome wide association studies. By contrast, mitochondrial DNA (mtDNA) variants are more challenging to identify and analyze for several reasons. First, contrary to the diploid nuclear genome, each cell carries several hundred copies of the circular mitochondrial genome. Mutations can therefore be present in only a subset of the mtDNA molecules, resulting in a heterogeneous pool of mtDNA, a situation referred to as heteroplasmy. Consequently, detection and quantification of variants requires extremely accurate tools, especially when this proportion is small. Additionally, the mitochondrial genome has pseudogenized into numerous copies within the nuclear genome over the course of evolution. These nuclear pseudogenes, named NUMTs, must be distinguished from genuine mtDNA sequences and excluded from the analysis.

resultsHere we describe a novel method, named MitoRS, in which the entire mitochondrial genome is amplified in a single reaction using rolling circle amplification. This approach is easier to setup and of higher throughput when compared to classical PCR amplification. Sequencing libraries are generated at high throughput exploiting a tagmentation-based method. Fine-tuned parameters are finally applied in the analysis to allow detection of variants even of low frequency heteroplasmy. The method was thoroughly benchmarked in a set of experiments designed to demonstrate its robustness, accuracy and sensitivity. The MitoRS method requires 5 ng total DNA as starting material. More than 96 samples can be processed in less than a day of laboratory work and sequenced in a single lane of an Illumina HiSeq flow cell. The lower limit for accurate quantification of single nucleotide variants has been measured at 1% frequency.

conclusionsThe MitoRS method enables the robust, accurate, and sensitive analysis of a large number of samples. Because it is cost effective and simple to setup, we anticipate this method will promote the analysis of mtDNA variants in large cohorts, and may help assessing the impact of mtDNA heteroplasmy on metabolic health, brain function, cancer progression, or ageing.

Indexed as

DNA, MitochondrialHigh-Throughput Nucleotide SequencingHumansINDEL MutationNucleic Acid Amplification TechniquesPolymorphism, Single NucleotideReal-Time Polymerase Chain ReactionSequence Analysis, DNADNA, MitochondrialHeteroplasmyLow frequency variantMitochondriaMitochondrial DNAMitoRSNext generation sequencingRolling circle amplificationSomatic mutation

Identifiers

PMID28441938
PMCPMC5405551
OpenAlexW2609318150

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.