TY  - JOUR
AU  - Autry, Robert
TI  - Polygenomic Interrogation of Drug Resistance Genes.
JO  - Methods in molecular biology
VL  - 2535
SN  - 1064-3745
CY  - [Heidelberg]
PB  - [Springer]
M1  - DKFZ-2022-01709
SN  - 978-1-0716-2512-5 (print)
SP  - 187-210
PY  - 2022
N1  - #LA:B062# / 2022;2535:187-210
AB  - Understanding drug resistance in cancer is paramount to improving patient outcomes, quality of life and reducing toxicities in patients receiving chemotherapy. Pharmacogenomic methods seek to understand the interaction of genomic variation and response to chemotherapeutic treatment. This chapter presents a workflow to interrogate multiple genomic inputs and individually assess their relationship with the phenotype of drug resistance using hierarchical clustering to determine the set of features that can best describe what features are associated with drug resistance. Then in a gene-centric manner regulatory features such as miRNAs, SNPs, or DNA methylation can be related back to the differential expression of genes to give understanding to the mechanism underlying resistance. In this chapter, we describe a computational method that can be adapted to a number of different diseases and phenotypes in which there are multiple genomic data types available with concordant phenotypic drug resistance information.
KW  - Drug Resistance: genetics
KW  - Genomics: methods
KW  - Pharmacogenetics
KW  - Phenotype
KW  - Quality of Life
KW  - Computational biology (Other)
KW  - Drug resistance (Other)
KW  - Integrative genomics (Other)
KW  - Pharmacogenomics (Other)
KW  - Polygenomic analysis (Other)
LB  - PUB:(DE-HGF)3 ; PUB:(DE-HGF)16
C6  - pmid:35867232
DO  - DOI: 10.1007/978-1-0716-2513-2_15 
UR  - https://inrepo02.dkfz.de/record/180985
ER  -