SNIC
SUPR
SNIC SUPR
Transcriptomic characterization of FCR resistant CLL
Dnr:

SNIC 2018/8-152

Type:

SNAC Small

Principal Investigator:

Ying Qu

Affiliation:

Karolinska Institutet

Start Date:

2018-04-17

End Date:

2019-05-01

Primary Classification:

10610: Bioinformatics and Systems Biology (methods development to be 10203)

Webpage:

Allocation

Abstract

To gain a better understanding of the molecular base of treatment resistance of chronic lymphocytic leukemia to current first line medical administration Flurdaration, Cyclophsotamide and rituximab, a omic-data integration approach to cross analysis publish available data sets is carrying out to obtain a primarily results for planning real world patient cohort. In the current state, no biological sensitive data will be obtained or processed, rather only obtained results from NGS platforms of WES, RNAseq and RRBS and ChIPseq of identified cohorts. Cross loci analysis will be carried out for gene transcriptional association to known genotype, and epigenetic status from processed data.