@phdthesis{Richi2017,
  type      = {Master Thesis},
  author    = {Rami Richi},
  title     = {Identify genetic variants underlining/ involved in the molecular mechanism behind the activation of estrogen receptor beta in adipose tissue and the effect on metabolism},
  year      = {2017},
  abstract  = {Obesity is a major public health issue in many countries and its development leads to many severe conditions. Adipose tissue (AT) simply called fat, in males visceral adipose tissues (VAT) are dominant. Estrogens play an important role in many pathological processes. In this study, one of the subtypes of the estrogen receptor ER-beta is activated using KB (Specific ligand) treatment on VAT. In this study, I investigated the metabolism effectof KB treatment on VAT using bioinformatics methods. In this thesis study, I applied several bioinformatics methods such as differential expression gene analysis, pathway analysis, RNA splicing analysis and SNPs callings to make the prediction of the effect of KB treatment on VAT. A list of candidate genes, pathways and SNPs were identified in this study, which could provide some clues to reveal the genetic mechanism underlying the KB treatment effect. The results of my study show that the KB treatment on VAT has caused significant effect.},
  language  = {en}
}