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Evaluation of amplification refractory mutation system (ARMS) technique for quick and accurate prenatal gene diagnosis of CHM variant in choroideremia

Overview of attention for article published in The Application of Clinical Genetics, December 2017
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Title
Evaluation of amplification refractory mutation system (ARMS) technique for quick and accurate prenatal gene diagnosis of CHM variant in choroideremia
Published in
The Application of Clinical Genetics, December 2017
DOI 10.2147/tacg.s144383
Pubmed ID
Authors

Lisha Yang, Iqra Ijaz, Jingliang Cheng, Chunli Wei, Xiaojun Tan, Asaduzzaman Khan, Xiaodong Fu, Junjiang Fu

Abstract

Choroideremia is a rare X-linked recessive inherited disorder that causes chorioretinal dystrophy leading to visual impairment in its early stages which finally causes total blindness in the affected person. It is caused due to mutations in the CHM gene. In this study, we have recruited a pedigree with choroideremia and detected a nonsense variant (c.C799T:p.R267X) in CHM of the proband (I:1). Different primer sets for amplification refractory mutation system (ARMS) were designed and PCR conditions were optimized. Then, we evaluated the sequence variant in the patient, carrier, and a fetus by using ARMS technique to identify if they inherited the pathogenic gene from parental generation; we used amniotic fluid DNA for the diagnosis of the gene in the fetus. The primer pairs, WT2+C and MT+C, amplified high specific products in different DNAs which were verified by Sanger sequencing. Based on our results, ARMS technique is fast, accurate, and reliable prenatal gene diagnostic tool to assess CHM variants. Taken together, our study indicates that ARMS technique can be used as a potential molecular tool in the diagnosis of prenatal mutation for choroideremia as well as other genetic diseases in undeveloped and developing countries, where there might be shortage of medical resources and supplies.

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Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 17%
Student > Master 8 13%
Unspecified 6 10%
Researcher 3 5%
Student > Ph. D. Student 3 5%
Other 7 12%
Unknown 23 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 25%
Unspecified 6 10%
Agricultural and Biological Sciences 4 7%
Social Sciences 4 7%
Immunology and Microbiology 1 2%
Other 3 5%
Unknown 27 45%
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 12 April 2020.
All research outputs
#16,991,104
of 25,748,735 outputs
Outputs from The Application of Clinical Genetics
#1
of 1 outputs
Outputs of similar age
#268,585
of 447,329 outputs
Outputs of similar age from The Application of Clinical Genetics
#1
of 1 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
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