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Targeted exome sequencing in anti-factor H antibody negative HUS reveals multiple variations

Overview of attention for article published in Clinical and Experimental Nephrology, September 2017
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Title
Targeted exome sequencing in anti-factor H antibody negative HUS reveals multiple variations
Published in
Clinical and Experimental Nephrology, September 2017
DOI 10.1007/s10157-017-1478-6
Pubmed ID
Authors

R. W. Thergaonkar, Ankita Narang, Bahadur Singh Gurjar, Pradeep Tiwari, Mamta Puraswani, Himanshi Saini, Aditi Sinha, Binuja Varma, Mitali Mukerji, Pankaj Hari, Arvind Bagga

Abstract

Genetic susceptibility to atypical hemolytic uremic syndrome (aHUS) may lie within genes regulating or activating the alternate complement and related pathways converging on endothelial cell activation. We tested 32 Indian patients of aHUS negative for antibodies to complement factor H for genetic variations in a panel of 15 genes, i.e., CFH, CFHR1-5, CFI, CFB, C3, CD46, MASP2, DGKE, ADAMTS13, THBD and PLG using next-generation DNA sequencing and for copy number variation in CFHR1-3. Despite absence of a public database of exome variations in the Indian population and limited functional studies, we could establish a genetic diagnosis in 6 (18.8%) patients using a stringent scheme of prioritization. One patient carried a likely pathogenic variation. The number of patients carrying possibly pathogenic variation was as follows: 1 variation: 5 patients, 2 variations: 9 patients, 3 variations: 5 patients, 4 variations: 9 patients, 5 variations: 2 patients and 6 variations: 2 patients. Homozygous deletion of CFHR1-3 was present in five patients; none of these carried a diagnostic genetic variation. Patients with or without diagnostic variation did not differ significantly in terms of enrichment of genetic variations that were rare/novel or predicted deleterious, or for possible environmental triggers. We conclude that genetic testing for multiple genes in patients with aHUS negative for anti-FH antibodies reveals multiple candidate variations that require prioritization. Population data on variation frequency of the Indian population and supportive functional studies are likely to improve diagnostic yield.

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The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Student > Ph. D. Student 3 18%
Student > Bachelor 2 12%
Researcher 2 12%
Other 1 6%
Other 2 12%
Unknown 2 12%
Readers by discipline Count As %
Medicine and Dentistry 11 65%
Biochemistry, Genetics and Molecular Biology 2 12%
Psychology 1 6%
Computer Science 1 6%
Unknown 2 12%