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A systematic review on screening for Fabry disease: prevalence of individuals with genetic variants of unknown significance

Overview of attention for article published in Journal of Medical Genetics, August 2013
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Title
A systematic review on screening for Fabry disease: prevalence of individuals with genetic variants of unknown significance
Published in
Journal of Medical Genetics, August 2013
DOI 10.1136/jmedgenet-2013-101857
Pubmed ID
Authors

L van der Tol, B E Smid, B J H M Poorthuis, M Biegstraaten, R H Lekanne Deprez, G E Linthorst, C E M Hollak

Abstract

Screening for Fabry disease (FD) reveals a high prevalence of individuals with α-galactosidase A (GLA) genetic variants of unknown significance (GVUS). These individuals often do not express characteristic features of FD. A systematic review on FD screening studies was performed to interpret the significance of GLA gene variants and to calculate the prevalence of definite classical and uncertain cases. We searched PubMed and Embase for screening studies on FD. We collected data on screening methods, clinical, biochemical and genetic assessments. The pooled prevalence of identified subjects and those with a definite diagnosis of classical FD were calculated. As criteria for a definite diagnosis, we used the presence of a GLA variant, absent or near-absent leukocyte enzyme activity and characteristic features of FD. Fifty-one studies were selected, 45 in high-risk and 6 in newborn populations. The most often used screening method was an enzyme activity assay. Cut-off values comprised 10-55% of the mean reference value for men and up to 80% for women. Prevalence of GLA variants in newborns was 0.04%. In high-risk populations the overall prevalence of individuals with GLA variants was 0.62%, while the prevalence of a definite diagnosis of FD was 0.12%. The majority of identified individuals in high-risk and newborn populations harbour GVUS or neutral variants in the GLA gene. To determine the pathogenicity of a GVUS in an individual, improved diagnostic criteria are needed. We propose a diagnostic algorithm to approach the individual with an uncertain diagnosis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ukraine 1 <1%
France 1 <1%
Saudi Arabia 1 <1%
Unknown 161 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 16%
Student > Master 23 14%
Student > Bachelor 16 10%
Student > Ph. D. Student 14 9%
Other 11 7%
Other 30 18%
Unknown 43 26%
Readers by discipline Count As %
Medicine and Dentistry 58 35%
Biochemistry, Genetics and Molecular Biology 20 12%
Agricultural and Biological Sciences 11 7%
Economics, Econometrics and Finance 3 2%
Chemistry 3 2%
Other 16 10%
Unknown 53 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 October 2014.
All research outputs
#13,708,378
of 22,745,803 outputs
Outputs from Journal of Medical Genetics
#2,502
of 2,917 outputs
Outputs of similar age
#106,667
of 197,269 outputs
Outputs of similar age from Journal of Medical Genetics
#16
of 20 outputs
Altmetric has tracked 22,745,803 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,917 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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