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Exome sequencing for simultaneous mutation screening in children with hemophagocytic lymphohistiocytosis

Overview of attention for article published in International Journal of Hematology, March 2017
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Title
Exome sequencing for simultaneous mutation screening in children with hemophagocytic lymphohistiocytosis
Published in
International Journal of Hematology, March 2017
DOI 10.1007/s12185-017-2223-3
Pubmed ID
Authors

Ekchol Mukda, Objoon Trachoo, Ekawat Pasomsub, Rawiphorn Tiyasirichokchai, Nareenart Iemwimangsa, Darintr Sosothikul, Wasun Chantratita, Samart Pakakasama

Abstract

In the present study, we used exome sequencing to analyze PRF1, UNC13D, STX11, and STXBP2, as well as genes associated with primary immunodeficiency disease (RAB27A, LYST, AP3B1, SH2D1A, ITK, CD27, XIAP, and MAGT1) in Thai children with hemophagocytic lymphohistiocytosis (HLH). We performed mutation analysis of HLH-associated genes in 25 Thai children using an exome sequencing method. Genetic variations found within these target genes were compared to exome sequencing data from 133 healthy individuals. Variants identified with minor allele frequencies <5% and novel mutations were confirmed using Sanger sequencing. Exome sequencing data revealed 101 non-synonymous single nucleotide polymorphisms (SNPs) in all subjects. These SNPs were classified as pathogenic (n = 1), likely pathogenic (n = 16), variant of unknown significance (n = 12), or benign variant (n = 72). Homozygous, compound heterozygous, and double-gene heterozygous variants, involving mutations in PRF1 (n = 3), UNC13D (n = 2), STXBP2 (n = 3), LYST (n = 3), XIAP (n = 2), AP3B1 (n = 1), RAB27A (n = 1), and MAGT1 (n = 1), were demonstrated in 12 patients. Novel mutations were found in most patients in this study. In conclusion, exome sequencing demonstrated the ability to identify rare genetic variants in HLH patients. This method is useful in the detection of mutations in multi-gene associated diseases.

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Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 23%
Researcher 5 19%
Professor 3 12%
Student > Doctoral Student 2 8%
Student > Bachelor 1 4%
Other 5 19%
Unknown 4 15%
Readers by discipline Count As %
Medicine and Dentistry 11 42%
Biochemistry, Genetics and Molecular Biology 7 27%
Agricultural and Biological Sciences 3 12%
Immunology and Microbiology 1 4%
Unknown 4 15%