Aarhus Universitets segl

Genetic Variants affecting Genome-wide Gene Expression in Adipose Tissues of Pigs used as Models for Human Obesity

Main subject area: genomics, bioinformatics and systems biology

Short project description

Obesity is a major public health problem – a cause of T2 Diabetes. This project will use sub-cutaneous adipose tissue (AT) transcriptome sequencing (RNASeq) data from pig models for human obesity, genetically characterized as low (L), medium (M) and highly (H) obese.

This masters project will be about calling Single Nucleotide Polymorphisms (SNPs) and Copy Number Variations (CNVs) from AT - RNASeq data, that are published as open access. They are abbreviated as eQTLs and eCNVs, respectively.  The work will then move towards relating eQTLs and eCNVs to differentially expressed genes (DEGs) between lean and obese phenotypes.

Department and supervisor

Haja Kadarmideen

Professor Institut for Husdyr- og Veterinærvidenskab - ANIVET Management og Modellering (MAMO)

Project start

Anytime


Physical location of project and students work

Dept. of Animal & Veterinary Sciences, AU Viborg

(Remote or Hybrid Work is Possible)

Extent and type of project

30 ECTS: Theoretical thesis based on literature studies and/or analysis of issued and edited data sets.

Additional information

  • Master students enrolled in Animal Science, Veterinary Science, Molecular Biology or Life Sciences who has taken courses taken in genetics/genomics or bioinformatics or systems biology or computational biology or similar.
  • Experience in using R and/or Python