Evidence map›Paper›PMID 28906532›Full record

ReviewCardiovascular journal of Africa

The aetiology of cardiovascular disease: a role for mitochondrial DNA?

Marianne Venter, Francois H van der Westhuizen, Joanna L Elson

Open access · greenAbstract readReview
In one paragraph

Review in Cardiovascular journal of Africa. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Mitochondrial Genome Variation in Polish Elite Athletes.International journal of molecular sciences · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Mitochondrial DNA Mutations and Rheumatic Heart Diseases.Journal of cardiovascular development and disease · 2019
    Article
  7. Article
  8. 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

3 authors at 1 institution in 2 countries.

Marianne VenterHuman Metabolomics, North-West University, Potchefstroom, South Africa. Email: 20196946@nwu.ac.za.
Francois H van der WesthuizenHuman Metabolomics, North-West University, Potchefstroom, South Africa.
Joanna L ElsonHuman Metabolomics, North-West University, Potchefstroom, South Africa; Institute of Genetic Medicine, Newcastle University, United Kingdom.
Newcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is a world-wide cause of mortality in humans and its incidence is on the rise in Africa. In this review, we discuss the putative role of mitochondrial dysfunction in the aetiology of CVD and consequently identify mitochondrial DNA (mtDNA) variation as a viable genetic risk factor to be considered. We then describe the contribution and pitfalls of several current approaches used when investigating mtDNA in relation to complex disease. We also propose an alternative approach, the adjusted mutational load hypothesis, which would have greater statistical power with cohorts of moderate size, and is less likely to be affected by population stratification. We therefore address some of the shortcomings of the current haplogroup association approach. Finally, we discuss the unique challenges faced by studies done on African populations, and recommend the most viable methods to use when investigating mtDNA variation in CVD and other common complex disease.

Indexed as

MutationAfricaAnimalsBlack PeopleCardiovascular DiseasesDNA Copy Number VariationsDNA DamageDNA, MitochondrialGenetic Predisposition to DiseaseHumansMutation RatePhenotypeRisk FactorsDNA, Mitochondrial

Identifiers

PMID28906532
PMCPMC6009096
OpenAlexW2800813352

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.