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Homozygous mutations in MFN2 cause multiple symmetric lipomatosis associated with neuropathy

Overview of attention for article published in Human Molecular Genetics, June 2015
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Title
Homozygous mutations in MFN2 cause multiple symmetric lipomatosis associated with neuropathy
Published in
Human Molecular Genetics, June 2015
DOI 10.1093/hmg/ddv229
Pubmed ID
Authors

Sarah L. Sawyer, Andy Cheuk-Him Ng, A. Micheil Innes, Justin D. Wagner, David A. Dyment, Martine Tetreault, Jacek Majewski, Kym M. Boycott, Robert A. Screaton, Garth Nicholson

Abstract

Multiple symmetric lipomatosis (MSL) is a mitochondrial disorder with impaired brown fat metabolism that has been associated with MERFF mutations in some, but not all patients. We studied a sibling pair and an unrelated individual who presented with multiple symmetric lipomatosis (MSL) and neuropathy to determine the genetic etiology of this disorder in patients who did not carry the MSL-associated MERFF mutation. Whole exome sequencing was performed on the siblings and a rare, shared homozygous mutation in MFN2 (c.2119C>T: p.R707W) was identified. The mutation was not present in their healthy siblings. In silico programs predict it to be pathogenic and heterozygous carriers of the MFN2 p.R707W substitution are known to have Charcot-Marie-Tooth disease (CMT). A third, unrelated, patient with multiple symmetrical lipomatosis and neuropathy also harbored the same homozygous mutation and had been previously diagnosed with CMT. Functional studies in patient fibroblasts demonstrate that the p.R707W substitution impairs homotypic (MFN2-MFN2) protein interactions required for normal activity, and renders mitochondria prone to perinuclear aggregation. These findings show that homozygous mutations at p.R707W in MFN2 are a novel cause of multiple symmetrical lipomatosis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 17%
Student > Bachelor 8 14%
Student > Ph. D. Student 7 12%
Student > Master 5 8%
Other 4 7%
Other 10 17%
Unknown 15 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 27%
Medicine and Dentistry 14 24%
Neuroscience 6 10%
Agricultural and Biological Sciences 5 8%
Immunology and Microbiology 1 2%
Other 3 5%
Unknown 14 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 August 2019.
All research outputs
#18,416,517
of 22,813,792 outputs
Outputs from Human Molecular Genetics
#7,289
of 8,025 outputs
Outputs of similar age
#189,732
of 264,344 outputs
Outputs of similar age from Human Molecular Genetics
#105
of 130 outputs
Altmetric has tracked 22,813,792 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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