Laura E Russell, Yitian Zhou, Ahmed A Almousa, Jasleen K Sodhi, Chukwunonso K Nwabufo, Volker M Lauschke. Drug Metab Rev 2021
Times Cited: 11
Times Cited: 11
Times Cited
Times Co-cited
Similarity
Pharmacogenomic Biomarkers for Improved Drug Therapy-Recent Progress and Future Developments.
Volker M Lauschke, Lili Milani, Magnus Ingelman-Sundberg. AAPS J 2017
Volker M Lauschke, Lili Milani, Magnus Ingelman-Sundberg. AAPS J 2017
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Genetic variation in the human cytochrome P450 supergene family.
Kohei Fujikura, Magnus Ingelman-Sundberg, Volker M Lauschke. Pharmacogenet Genomics 2015
Kohei Fujikura, Magnus Ingelman-Sundberg, Volker M Lauschke. Pharmacogenet Genomics 2015
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Integrating rare genetic variants into pharmacogenetic drug response predictions.
Magnus Ingelman-Sundberg, Souren Mkrtchian, Yitian Zhou, Volker M Lauschke. Hum Genomics 2018
Magnus Ingelman-Sundberg, Souren Mkrtchian, Yitian Zhou, Volker M Lauschke. Hum Genomics 2018
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Population-scale predictions of DPD and TPMT phenotypes using a quantitative pharmacogene-specific ensemble classifier.
Yitian Zhou, Carolina Dagli Hernandez, Volker M Lauschke. Br J Cancer 2020
Yitian Zhou, Carolina Dagli Hernandez, Volker M Lauschke. Br J Cancer 2020
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Rare genetic variants in cellular transporters, metabolic enzymes, and nuclear receptors can be important determinants of interindividual differences in drug response.
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Mikael Kozyra, Magnus Ingelman-Sundberg, Volker M Lauschke. Genet Med 2017
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An optimized prediction framework to assess the functional impact of pharmacogenetic variants.
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Yitian Zhou, Souren Mkrtchian, Masaki Kumondai, Masahiro Hiratsuka, Volker M Lauschke. Pharmacogenomics J 2019
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Cytochrome P450 enzymes in drug metabolism: regulation of gene expression, enzyme activities, and impact of genetic variation.
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Pharmacogenomics of drug-metabolizing enzymes: a recent update on clinical implications and endogenous effects.
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Computational Methods for the Pharmacogenetic Interpretation of Next Generation Sequencing Data.
Yitian Zhou, Kohei Fujikura, Souren Mkrtchian, Volker M Lauschke. Front Pharmacol 2018
Yitian Zhou, Kohei Fujikura, Souren Mkrtchian, Volker M Lauschke. Front Pharmacol 2018
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Ethnogeographic and inter-individual variability of human ABC transporters.
Qingyang Xiao, Yitian Zhou, Volker M Lauschke. Hum Genet 2020
Qingyang Xiao, Yitian Zhou, Volker M Lauschke. Hum Genet 2020
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A method and server for predicting damaging missense mutations.
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Worldwide Distribution of Cytochrome P450 Alleles: A Meta-analysis of Population-scale Sequencing Projects.
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PharmVar GeneFocus: CYP2D6.
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A general framework for estimating the relative pathogenicity of human genetic variants.
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Quantifying rare, deleterious variation in 12 human cytochrome P450 drug-metabolism genes in a large-scale exome dataset.
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Prediction of drug response and adverse drug reactions: From twin studies to Next Generation Sequencing.
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Gene-Specific Variant Classifier (DPYD-Varifier) to Identify Deleterious Alleles of Dihydropyrimidine Dehydrogenase.
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Pharmacogenetics in Psychiatry: An Update on Clinical Usability.
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Translating genotype data of 44,000 biobank participants into clinical pharmacogenetic recommendations: challenges and solutions.
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Genetic variation in human drug-related genes.
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The genetic landscape of the human solute carrier (SLC) transporter superfamily.
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Requirements for comprehensive pharmacogenetic genotyping platforms.
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Rare genetic variability in human drug target genes modulates drug response and can guide precision medicine.
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Global Frequencies of Clinically Important HLA Alleles and Their Implications For the Cost-Effectiveness of Preemptive Pharmacogenetic Testing.
Yitian Zhou, Kristi Krebs, Lili Milani, Volker M Lauschke. Clin Pharmacol Ther 2021
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A global reference for human genetic variation.
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PharmVar GeneFocus: CYP2B6.
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Emerging strategies to bridge the gap between pharmacogenomic research and its clinical implementation.
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Tandem mass spectrometric analysis of novel caffeine scaffold-based bifunctional compounds for Parkinson's disease.
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Introduction to the mini special issue on next generation drug discovery and development: rethinking translational pharmacology for accelerated drug development.
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.