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Genotyping an immunodeficiency causing c.1624–11G>A ZAP70 mutation in Canadian Mennonites

Overview of attention for article published in BMC Medical Genomics, July 2016
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Title
Genotyping an immunodeficiency causing c.1624–11G>A ZAP70 mutation in Canadian Mennonites
Published in
BMC Medical Genomics, July 2016
DOI 10.1186/s12881-016-0312-4
Pubmed ID
Authors

M. L. Schroeder, B. Triggs-Raine, T. Zelinski

Abstract

Primary immunodeficiency is a life-threatening genetic disease that appeared to have an increased incidence in Manitoba Mennonites. Determining the genetic basis of this immunodeficiency was an essential step for providing early and appropriate medical intervention. Initially, DNA from probands affected with primary immunodeficiency and their family members was assessed for linkage to genes previously associated with immunodeficiency. Candidate genes were sequenced to identify the causative mutation. The frequency of the mutation among first and second degree relatives, as well as apparently unrelated community members was analyzed using a PCR-based assay. A previously described c.1624-11G>A mutation in ZAP70 was identified as the causative mutation in all affected probands that were analyzed. Among 125 study participants of Mennonite descent, 79 genotyped as normal, 39 were carriers and seven were affected. None of 115 non-Mennonite random individuals carried the mutation, whereas one of ten random DNA samples from individuals who self-identified as Mennonite was a carrier. In collaboration with the target community, we have developed a robust screening test for determining ZAP70 genotype. Early identification of affected individuals has provided an opportunity for timely clinical intervention, while carrier identification has allowed for genetic counselling of at risk couples.

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Mendeley readers

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The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 19%
Student > Master 3 19%
Researcher 3 19%
Professor 2 13%
Student > Ph. D. Student 1 6%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 25%
Medicine and Dentistry 4 25%
Economics, Econometrics and Finance 2 13%
Psychology 1 6%
Agricultural and Biological Sciences 1 6%
Other 0 0%
Unknown 4 25%
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 22 July 2016.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from BMC Medical Genomics
#1,682
of 2,444 outputs
Outputs of similar age
#296,162
of 378,457 outputs
Outputs of similar age from BMC Medical Genomics
#31
of 42 outputs
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