Book/Journal Article

DKFZ-2022-01709

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Polygenomic Interrogation of Drug Resistance Genes.

Autry, R. (Last author)DKFZ*

2022
[Springer] [Heidelberg]
ISBN: 978-1-0716-2512-5 (print), 978-1-0716-2513-2 (electronic)

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Please use a persistent id in citations: doi: 10.1007/978-1-0716-2513-2_15   doi:10.1007/978-1-0716-2513-2_15

Abstract: 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.

Keyword(s): Drug Resistance: genetics (MeSH) ; Genomics: methods (MeSH) ; Pharmacogenetics (MeSH) ; Phenotype (MeSH) ; Quality of Life (MeSH) ; Computational biology ; Drug resistance ; Integrative genomics ; Pharmacogenomics ; Polygenomic analysis

Note: #LA:B062# / 2022;2535:187-210

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Contributing Institute(s):

1. B062 Pädiatrische Neuroonkologie (B062)
2. DKTK HD zentral (HD01)

Research Program(s):

1. 312 - Funktionelle und strukturelle Genomforschung (POF4-312) (POF4-312)

Appears in the scientific report 2022

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Database coverage:
; SCOPUS

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