Institut for Husdyr- og Veterinærvidenskab

Aarhus Universitets segl

Verifying the candidate genes of GWAS with RNA-seq data

Main subject area: Animal Genomics, Bioinformatics

Short project description

With the advance of next-generation sequencing and variants imputation.

We have dozens of traits that have been tested with the whole-genome sequencing level of imputed variants. However, the underlined genetic determinates still reminded being verified.

Nowadays, more and more RNA-seq dataset are publicly available, which give us the opportunity to utilize these dataset to exam the significant hits we obtained from genomewide association study (GWAS).

  • Differential expression genes (DEG) analysis
  • Integrate DEG result with GWAS hits.
  • The shared genetics determinates between highly correlation traits

Department and supervisor

Zexi Cai

Tenure Track adjunkt Center for Kvantitativ Genetik og Genomforskning, Aarhus
M
H 1134, 323
P +4587157928

Goutam Sahana

Seniorforsker Center for Kvantitativ Genetik og Genomforskning, Aarhus
M
H 1130, 310
P +4530577159

Project start

To be decided in agreement with the supervisor.


Physical location of project and students work

QGG Aarhus.

Extent and type of project

30-45-60 ECTS.

Additional information

Use of any of these software packages would be useful: R, Phyton.

Revideret 04.01.2023