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Effectiveness of whole exome sequencing in unsolved patients with a clinical suspicion of a mitochondrial disorder in Estonia

Overview of attention for article published in Molecular Genetics and Metabolism Reports, March 2018
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Title
Effectiveness of whole exome sequencing in unsolved patients with a clinical suspicion of a mitochondrial disorder in Estonia
Published in
Molecular Genetics and Metabolism Reports, March 2018
DOI 10.1016/j.ymgmr.2018.03.004
Pubmed ID
Authors

Sanna Puusepp, Karit Reinson, Sander Pajusalu, Ülle Murumets, Eve Õiglane-Shlik, Reet Rein, Inga Talvik, Richard J. Rodenburg, Katrin Õunap

Abstract

Reaching a genetic diagnosis of mitochondrial disorders (MDs) is challenging due to their broad phenotypic and genotypic heterogeneity. However, there is growing evidence that the use of whole exome sequencing (WES) for diagnosing patients with a clinical suspicion of an MD is effective (39-60%). We aimed to study the effectiveness of WES in clinical practice in Estonia, in patients with an unsolved, but suspected MD. We also show our first results of mtDNA analysis obtained from standard WES reads. Retrospective cases were selected from a database of 181 patients whose fibroblast cell cultures had been stored from 2003 to 2013. Prospective cases were selected during the period of 2014-2016 from patients referred to a clinical geneticist in whom an MD was suspected. We scored each patient according to the mitochondrial disease criteria (MDC) (Morava et al., 2006) after re-evaluation of their clinical data, and then performed WES analysis. A total of 28 patients were selected to the study group. A disease-causing variant was found in 16 patients (57%) using WES. An MD was diagnosed in four patients (14%), with variants in the SLC25A4, POLG, SPATA5, and NDUFB11 genes. Other variants found were associated with a neuromuscular disease (SMN1, MYH2, and LMNA genes), neurodegenerative disorder (TSPOAP1, CACNA1A, ALS2, and SCN2A genes), multisystemic disease (EPG5, NKX1-2, ATRX, and ABCC6 genes), and one in an isolated cardiomyopathy causing gene (MYBPC3). The mtDNA point mutation was found in the MT-ATP6 gene of one patient upon mtDNA analysis. The diagnostic yield of WES in our cohort was 57%, proving to be a very good effectiveness. However, MDs were found in only 14% of the patients. We suggest WES analysis as a first-tier method in clinical genetic practice for children with any multisystem, neurological, and/or neuromuscular problem, as nuclear DNA variants are more common in children with MDs; a large number of patients harbor disease-causing variants in genes other than the mitochondria-related ones, and the clinical presentation might not always point towards an MD. We have also successfully conducted analysis of mtDNA from standard WES reads, providing further evidence that this method could be routinely used in the future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Student > Master 3 8%
Researcher 3 8%
Other 2 5%
Student > Doctoral Student 2 5%
Other 6 15%
Unknown 13 33%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Biochemistry, Genetics and Molecular Biology 7 18%
Unspecified 2 5%
Social Sciences 2 5%
Computer Science 1 3%
Other 2 5%
Unknown 14 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 June 2022.
All research outputs
#8,538,940
of 25,382,440 outputs
Outputs from Molecular Genetics and Metabolism Reports
#115
of 460 outputs
Outputs of similar age
#142,195
of 351,767 outputs
Outputs of similar age from Molecular Genetics and Metabolism Reports
#5
of 16 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 460 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 68% 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 351,767 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.