Evidence map›Paper›PMID 30383746›Full record

ArticlePLoS genetics2018

How many individuals share a mitochondrial genome?

Mikkel M Andersen, David J Balding

Abstract read
In one paragraph

Article in PLoS genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Exploring the Hereditary Nature of Migraine.Neuropsychiatric disease and treatment · 2021
    Review
  10. Article
  11. Article
  12. Mitochondrial genome-wide association study of migraine - the HUNT Study.Cephalalgia : an international journal of headache · 2020
    Article
  13. Article
  14. 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

2 authors.

Mikkel M AndersenDepartment of Mathematical Sciences, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-0234-0266
David J BaldingMelbourne Integrative Genomics, University of Melbourne, Victoria, Australia.ORCID 0000-0002-1480-6115

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mitochondrial DNA (mtDNA) is useful to assist with identification of the source of a biological sample, or to confirm matrilineal relatedness. Although the autosomal genome is much larger, mtDNA has an advantage for forensic applications of multiple copy number per cell, allowing better recovery of sequence information from degraded samples. In addition, biological samples such as fingernails, old bones, teeth and hair have mtDNA but little or no autosomal DNA. The relatively low mutation rate of the mitochondrial genome (mitogenome) means that there can be large sets of matrilineal-related individuals sharing a common mitogenome. Here we present the mitolina simulation software that we use to describe the distribution of the number of mitogenomes in a population that match a given mitogenome, and investigate its dependence on population size and growth rate, and on a database count of the mitogenome. Further, we report on the distribution of the number of meioses separating pairs of individuals with matching mitogenome. Our results have important implications for assessing the weight of mtDNA profile evidence in forensic science, but mtDNA analysis has many non-human applications, for example in tracking the source of ivory. Our methods and software can also be used for simulations to help validate models of population history in human or non-human populations.

Indexed as

Genome, MitochondrialModels, GeneticChromosomes, Human, YComputer SimulationDatabases, Nucleic AcidDNA, MitochondrialFemaleForensic GeneticsGenetics, PopulationGenetic VariationHaplotypesHumansIranMaleMutationSoftwareDNA, Mitochondrial

Identifiers

PMID30383746
PMCPMC6233927

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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.