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Mutation analysis in patients with total sperm immotility

Overview of attention for article published in Journal of Assisted Reproduction and Genetics, April 2015
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Title
Mutation analysis in patients with total sperm immotility
Published in
Journal of Assisted Reproduction and Genetics, April 2015
DOI 10.1007/s10815-015-0474-6
Pubmed ID
Authors

Rute Pereira, Jorge Oliveira, Luis Ferraz, Alberto Barros, Rosário Santos, Mário Sousa

Abstract

Perform the genetic characterization of five patients with total sperm immotility using Sanger sequencing and Whole Exome Sequencing (WES), in order to increase the knowledge on the genetics of sperm immotility and, ultimately, allow the identification of potential genetic markers for infertility. Prospective study at a University Medical school. We analysed five men with total sperm immotility, four with dysplasia of the fibrous sheath (DFS), associated with disruption of several axonemal structures, and one patient with situs inversus totalis, which showed absence of dynein arms (DA) and nexin bridges. We screened 7 genes by Sanger sequencing, involved in sperm motility and associated to ultrastructural defects found in these patients (CCDC39, CCDC40, DNAH5, DNAI1, RSPH1, AKAP3 and AKAP4). Additionally, we performed WES analysis in the patient with situs inversus. We identified nine new DNA sequence variants by WES. Two of these variants were considered particularly relevant: a homozygous missense change in CCDC103 gene (c.104G > C, p.R35P) probably related with absence of dynein arms; the other in the INSL6 gene (c.262_263delCC) is thought to be also involved in sperm immotility. Our work suggests that WES is an effective strategy, especially as compared with conventional sequencing, to study highly heterogenic genetic diseases, such as sperm immotility. For future work we expect to expand the analysis of WES to the other four patients and complement findings with expression analysis or functional studies to determine the impact of the novel variants.

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Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Student > Master 10 16%
Researcher 8 13%
Student > Doctoral Student 4 6%
Student > Bachelor 4 6%
Other 6 10%
Unknown 17 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 25%
Agricultural and Biological Sciences 11 17%
Medicine and Dentistry 9 14%
Computer Science 1 2%
Business, Management and Accounting 1 2%
Other 0 0%
Unknown 25 40%