Characterizing the genetic architecture of drug response using gene-context interaction methods.

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Title: Characterizing the genetic architecture of drug response using gene-context interaction methods.
Authors: Sadowski M; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA 90095, USA. Electronic address: michalsadowski@ucla.edu., Thompson M; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA 90095, USA., Mefford J; Department of Neurology, University of California Los Angeles, Los Angeles, CA 90095, USA., Haldar T; Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA; Department of Clinical Pharmacy, University of California San Francisco, San Francisco, CA 94143, USA., Oni-Orisan A; Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA; Department of Clinical Pharmacy, University of California San Francisco, San Francisco, CA 94143, USA., Border R; Department of Neurology, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Computer Science, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Computational Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA., Pazokitoroudi A; Department of Computer Science, University of California Los Angeles, Los Angeles, CA 90095, USA., Cai N; Helmholtz Pioneer Campus, Helmholtz Munich, 85764 Neuherberg, Germany; Computational Health Centre, Helmholtz Munich, 85764 Neuherberg, Germany; School of Medicine and Health, Technical University of Munich, 80333 Munich, Germany., Ayroles JF; Department of Ecology and Evolution, Princeton University, Princeton, NJ 08544, USA; Lewis Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA., Sankararaman S; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Computer Science, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Computational Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA., Dahl AW; Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA., Zaitlen N; Bioinformatics Interdepartmental Program, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Neurology, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Computational Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA. Electronic address: nzaitlen@ucla.edu.
Source: Cell genomics [Cell Genom] 2024 Dec 11; Vol. 4 (12), pp. 100722. Date of Electronic Publication: 2024 Dec 04.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier, Inc Country of Publication: United States NLM ID: 9918284260106676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2666-979X (Electronic) Linking ISSN: 2666979X NLM ISO Abbreviation: Cell Genom Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2666-979X
DOI:10.1016/j.xgen.2024.100722