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Določanje funkcionalnih polimorfizmov v zelo ohranjenih genomskih regijah pri človeku z bioinformacijskimi orodji
ID Habič, Anamarija (Author), ID Kunej, Tanja (Mentor) More about this mentor... This link opens in a new window, ID Konc, Janez (Co-mentor)

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MD5: 37D297A33FBAB49A5F56D013F8D91E64
PID: 20.500.12556/rul/bb5f6697-6e2f-4ce0-91e8-a5fb9e2355d0

Abstract
Zelo ohranjene genomske regije (angl. ultraconserved regions; UCRs) so definirane kot zaporedja DNA, ki so stoodstotno ohranjena v ortolognih regijah genomov različnih vrst. Novejše raziskave kažejo, da so v UCR-jih prisotni tudi polimorfizmi. Večina UCR-jev še ni bila funkcionalno anotirana, zato sta njihov vpliv na fenotip oz. morebitna vpletenost v razvoj bolezni še precej neznana. Namen diplomskega dela je zato bil: 1. z bioinformacijskimi orodji na novo določiti genomske lokacije predhodno odkritih UCR-jev v skladu z najnovejšo različico genoma človeka, 2. preveriti, s katerimi geni se prekrivajo UCR-ji, 3. identificirati polimorfizme znotraj UCR-jev in 4. preveriti, ali so kateri izmed njih povezani s fenotipom/boleznimi. Z analizo z orodjem BioMart smo ugotovili, da je 25 % UCR-jev medgenskih, ostali pa se vsaj delno prekrivajo z geni. Znotraj ohranjenih regij smo določili 30139 polimorfizmov, od katerih jih ima v genomskem brskalniku Ensembl 183 anotirano povezavo s fenotipom. Za 37 polimorfizmov je bilo možno pridobiti znanstvene članke, v katerih so poročali povezavo s fenotipom. Polimorfizmi so povezani z različnimi boleznimi, med drugim z družinsko adenomatozno polipozo, adolescentno idiopatsko skoliozo, amiotrofično lateralno sklerozo, mišičnimi distrofijami in spastično paraplegijo. Rezultati so osnova za nadaljnje odkrivanje funkcije UCR-jev in identifikacijo pomembnih regij znotraj teh odsekov.

Language:Slovenian
Keywords:bioinformatika, genom, UCR, BLAT, BioMart, gen, polimorfizem, fenotip, bolezen
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:BF - Biotechnical Faculty
Publisher:[A. Habič]
Year:2017
PID:20.500.12556/RUL-95619 This link opens in a new window
UDC:601.4:577.2:575.112(043.2)
COBISS.SI-ID:8812153 This link opens in a new window
Publication date in RUL:21.09.2017
Views:1730
Downloads:479
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Secondary language

Language:English
Title:Identification of functional polymorphisms in ultraconserved regions in human using bioinformatics tools
Abstract:
Ultraconserved regions (UCRs) are defined as DNA sequences, which are absolutely conserved between orthologous genomic regions of multiple species. However, recent studies have proved the presence of polymorphisms within UCRs. Most of the UCRs have not yet been functionally annotated, therefore their effect on phenotype and involvement in disease development remain substantially unknown. The aims of the thesis were to: 1. remap previously reported UCRs according to the latest human genome release using bioinformatics tools, 2. identify genes overlapping UCRs, 3. identify polymorphisms within UCRs and 4. check whether any associations between UCR polymorphisms and phenotype/diseases exist. Using BioMart data mining tool we showed that 25 % of UCRs are intergenic, while the rest overlap genes. Our analysis performed by BioMart identified 30,139 polymorphisms within UCRs. Among these, 183 have been annotated to be associated with phenotype according to the Ensembl genome browser. For 37 among 183 polymorphisms it was possible to obtain published literature reporting associations with phenotype. Polymorphisms are associated with various diseases, for example with familial adenomatous polyposis, adolescent idiopathic scoliosis, amyotrophic lateral sclerosis, muscle dystrophies and spastic paraplegia. Our results serve as a basis for further investigation of UCRs’ functions and identification of important regions within these segments.

Keywords:bioinformatics, genome, UCR, BLAT, BioMart, gene, polymorphism, phenotype, disease

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