masterThesis
Descobrindo redes de associação envolvendo miRNAs e lincRNAs humanos através de uma análise de eQTL
Fecha
2018-07-19Registro en:
LINS, Paulo Roberto Branco. Descobrindo redes de associação envolvendo miRNAs e lincRNAs humanos através de uma análise de eQTL. 2018. 55f. Dissertação (Mestrado em Bioinformática) - Instituto Metrópole Digital, Universidade Federal do Rio Grande do Norte, Natal, 2018.
Autor
Lins, Paulo Roberto Branco
Resumen
Variations in the level of gene expression are among the main causes of phenotypic
diversity in organisms, including the development of pathologies and response to
drugs in humans. Non-coding RNAs (ncRNAs) play an important role in the complex
mechanism of regulatory networks. Although not yet fully understood, two
representatives of the ncRNAs emerge in recent researches as protagonists in the
development of clinical conditions. They are the microRNAs (miRNAs) and the long
intergenic non-coding RNAs (lincRNAs). Thus, the present work integrated public
data to catalog the vast landscape of the regulatory effects of miRNAs and lincRNAs
in the human genome. Through expression Quantitative Trait Loci (eQTL) analysis,
variations that had a putative effect on gene expression were identified. Association
networks were also created relating the eQTL analysis results to traits of clinical
and/or pharmacological relevance. Through this, associations that may continue to
arouse the interest of new studies involving the theme were revealed. Mental and
coronary disorders, in addition to cancer, were the most evidenced traits in the study
results.