Characterizing the genetic architecture of drug response using gene-context interaction methods
Characterizing the genetic architecture of drug response using gene-context interaction methods is a research paper published in Cell Genomics (2024). On theSindex it has a DataRank of 0. It has been cited 15 times.
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›Methodology & internals
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Authors (12)
The Chan Zuckerberg Initiative
Grant: CZF2019-002449
National Heart Lung and Blood Institute
Grant: K25HL157603
National Institutes of Health
Grant: 1R01HG011345
National Institutes of Health
Grant: U01HG012079
National Institutes of Health
Grant: 2R01HG006399
National Institute of General Medical Sciences
Grant: R35GM150822
National Institute of Environmental Health Sciences
Grant: R01ES029929
National Institute of Mental Health
Grant: R01MH125252
National Institute of Mental Health
Grant: R01MH122688
NHGRI NIH HHS
Grant: R01 HG006399
NIGMS NIH HHS
Grant: R35 GM124881
NIGMS NIH HHS
Grant: R35 GM153406
National Institutes of Health
Grant: 5R01MH125252-05
SINGLE-CELL MULTI-OMIC APPROACHES TO MECHANISTICALLY CHARACTERIZE PSYCHIATRIC DISORDER RISK LOCI IN THE HUMAN BRAIN
National Institutes of Health
Grant: 5K25HL157603-02
Characterizing individual- and subtype-specific risk factors and treatments in asthma
National Institutes of Health
Grant: 2R01HG006399-10A1
Leveraging functional data to predict disease risk in multi-ethnic populations
National Institutes of Health
Grant: 5R35GM150822-02
Novel statistical genetics methods to unravel polygenic interactions in complex traits
National Institutes of Health
Grant: 5R01MH122688-05
Identifying and quantifying genetic effects on neurodevelopmental trajectories in adolescents
National Institutes of Health
Grant: 5R01ES029929-04
Improved methods for inference of genotype-specific response to environmental toxins
National Institutes of Health
Grant: 5U01HG012079-05
Leveraging genetic variation to dissect gene regulatory networks of reprogramming to pluripotency
National Institutes of Health
Grant: 5R01HG011345-02
Genomic Approaches to Population Health in Multi-Ethnic Hospital Systems
FWCI
3.75
Citation Percentile
0.9%
Citation Trend
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