National Repository of Grey Literature 12 records found  previous11 - 12  jump to record: Search took 0.01 seconds. 
Targeted next generation sequencing of candidate genes responsible for impaired spermatogenesis and male infertility
Daňková, Michaela ; Liška, František (advisor) ; Holá, Dana (referee)
Infertility is a widespread health problem, caused by the male factor in about half of all cases, and in about a half of the infertile men the cause is unknown. In a significant number of these men, genetic etiology is assumed. Current routine methods of laboratory diagnostics, which include karyotype examination, exclusion of mutations in the CFTR gene, and Y chromosome microdeletions, do not usually reveal the cause of infertility. That is why researchers' efforts aim at detecting mutations in other genes that are causing male infertility. In recent years, animal models have been used to identify many genes necessary for fertility. Based on these findings, 12 candidate genes have been selected (CAPZA3, CDC14B, CDC42, CNTROB, CSNK2A2, GOPC, HOOK1, HRB, OAZ3, ODF1, RIMBP3, SPATA16) that are essential for spermatogenesis. Mouse or rat mutants in these genes are primarily associated with oligoasthenoteratozoospermia, since they are involved in sperm morphogenesis. However, the phenotype spectrum may comprise also azoospermia. The purpose of the thesis was to determine the sequence of the afore mentioned genes in infertile men with impaired spermatogenesis and to reveal presence or absence of pathogenic mutations in these genes, using cDNA and genomic DNA from peripheral blood. The candidate genes were...
Detection of Genome Variations
Beluský, Tomáš ; Vogel, Ivan (referee) ; Martínek, Tomáš (advisor)
An influence of variations in human genome is perceptible at a first glance on human itself to see differences between the individuals and entire populations. Also, behavior or probability of certain diseases are influenced in large way by differences at genome's level. This work presents methods for detecting variations in the human genome that were developed after an arose of the second-generation sequencing technologies. A new tool that combines read pair and split read methods, with information about a depth of coverage was also designed and implemented. The tool was tested on simulated and real data and compared with a reference outputs.

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