Evidence map›Paper›PMID 31253641›Full record

ArticleGenetics2019

Mitochondrial Network State Scales mtDNA Genetic Dynamics

Juvid Aryaman, Charlotte Bowles, Nick S Jones, Iain G Johnston

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 58 citations in OpenAlex.

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  14. Stochastic survival of the densest and mitochondrial DNA clonal expansion in aging.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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 at 4 institutions in 2 countries.

Juvid AryamanDepartment of Mathematics, Imperial College London, SW7 2AZ, United Kingdom.ORCID 0000-0002-2605-052X
Charlotte BowlesSchool of Biosciences, University of Birmingham, B15 2TT, United Kingdom.
Nick S JonesDepartment of Mathematics, Imperial College London, SW7 2AZ, United Kingdom nick.jones@imperial.ac.uk iain.johnston@uib.no.ORCID 0000-0002-4083-972X
Iain G JohnstonFaculty of Mathematics and Natural Sciences, University of Bergen, 5007, Norway nick.jones@imperial.ac.uk iain.johnston@uib.no.ORCID 0000-0001-8559-3519
Imperial College London · GBUniversity of Bergen · NOUniversity of Birmingham · GBUniversity of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J014575/1British Heart Foundation RE/13/2/30182Medical Research Council MC_UP_1501/2
6 · The paper itself

Abstract

Mitochondrial DNA (mtDNA) mutations cause severe congenital diseases but may also be associated with healthy aging. mtDNA is stochastically replicated and degraded, and exists within organelles which undergo dynamic fusion and fission. The role of the resulting mitochondrial networks in the time evolution of the cellular proportion of mutated mtDNA molecules (heteroplasmy), and cell-to-cell variability in heteroplasmy (heteroplasmy variance), remains incompletely understood. Heteroplasmy variance is particularly important since it modulates the number of pathological cells in a tissue. Here, we provide the first wide-reaching theoretical framework which bridges mitochondrial network and genetic states. We show that, under a range of conditions, the (genetic) rate of increase in heteroplasmy variance and

Indexed as

Genetic VariationMitochondrial DynamicsModels, GeneticMutationDNA, MitochondrialHumansSelection, GeneticDNA, Mitochondrialcellular noiseheteroplasmy variancemitochondrial DNAmitochondrial networks

Identifiers

PMID31253641
PMCPMC6707450
OpenAlexW2954242313

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.