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Clinically proven mtDNA mutations are not common in those with chronic fatigue syndrome

Overview of attention for article published in BMC Medical Genomics, March 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Title
Clinically proven mtDNA mutations are not common in those with chronic fatigue syndrome
Published in
BMC Medical Genomics, March 2017
DOI 10.1186/s12881-017-0387-6
Pubmed ID
Authors

Elizna M. Schoeman, Francois H. Van Der Westhuizen, Elardus Erasmus, Etresia van Dyk, Charlotte V. Y. Knowles, Shereen Al-Ali, Wan-Fai Ng, Robert W. Taylor, Julia L. Newton, Joanna L. Elson

Abstract

Chronic Fatigue Syndrome (CFS) is a prevalent debilitating condition that affects approximately 250,000 people in the UK. There is growing interest in the role of mitochondrial function and mitochondrial DNA (mtDNA) variation in CFS. It is now known that fatigue is common and often severe in patients with mitochondrial disease irrespective of their age, gender or mtDNA genotype. More recently, it has been suggested that some CFS patients harbour clinically proven mtDNA mutations. MtDNA sequencing of 93 CFS patients from the United Kingdom (UK) and South Africa (RSA) was performed using an Ion Torrent Personal Genome Machine. The sequence data was examined for any evidence of clinically proven mutations, currently; more than 200 clinically proven mtDNA mutations point mutations have been identified. We report the complete mtDNA sequence of 93 CFS patients from the UK and RSA, without finding evidence of clinically proven mtDNA mutations. This finding demonstrates that clinically proven mtDNA mutations are not a common element in the aetiology of disease in CFS patients. That is patients having a clinically proven mtDNA mutation and subsequently being misdiagnosed with CFS are likely to be rare. The work supports the assertion that CFS should not be considered to fall within the spectrum of mtDNA disease. However, the current study cannot exclude a role for nuclear genes with a mitochondrial function, nor a role of mtDNA population variants in susceptibility to disease. This study highlights the need for more to be done to understand the pathophysiology of CFS.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Doctoral Student 3 10%
Student > Bachelor 3 10%
Professor 2 6%
Student > Postgraduate 2 6%
Other 6 19%
Unknown 9 29%
Readers by discipline Count As %
Medicine and Dentistry 7 23%
Nursing and Health Professions 5 16%
Agricultural and Biological Sciences 4 13%
Biochemistry, Genetics and Molecular Biology 3 10%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 10 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 November 2018.
All research outputs
#1,614,588
of 25,654,806 outputs
Outputs from BMC Medical Genomics
#59
of 2,455 outputs
Outputs of similar age
#30,989
of 323,234 outputs
Outputs of similar age from BMC Medical Genomics
#7
of 33 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,455 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 323,234 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.