Toward predicting CYP2D6-mediated variable drug response from CYP2D6 gene sequencing data-Reference-Cited by-同舟云学术

Toward predicting CYP2D6-mediated variable drug response from CYP2D6 gene sequencing data

Published:2021-07-21 Issue:603 Volume:13 Page:
ISSN:1946-6234
Container-title:Science Translational Medicine
language:en
Short-container-title:Sci. Transl. Med.

Author:

van der Lee Maaike¹²^ORCID,Allard William G.³⁴,Vossen Rolf H. A. M.³⁴,Baak-Pablo Renée F.¹,Menafra Roberta³⁴^ORCID,Deiman Birgit A. L. M.⁵^ORCID,Deenen Maarten J.¹⁶^ORCID,Neven Patrick⁷,Johansson Inger⁸,Gastaldello Stefano⁸^ORCID,Ingelman-Sundberg Magnus⁸,Guchelaar Henk-Jan¹²^ORCID,Swen Jesse J.¹²^ORCID,Anvar Seyed Yahya¹²³⁴^ORCID

Affiliation:

1. Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, 2333 ZA Leiden, Netherlands.

2. Leiden Network for Personalised Therapeutics, 2333 ZA Leiden, Netherlands.

3. Department of Human Genetics, Leiden University Medical Center, 2333 ZA Leiden, Netherlands.

4. Leiden Genome Technology Center, Leiden University Medical Center, 2333 ZA Leiden, Netherlands.

5. Clinical Laboratory, Catharina Hospital Eindhoven, 5623 EJ Eindhoven, Netherlands.

6. Department of Clinical Pharmacy, Catharina Hospital Eindhoven, 5623 EJ Eindhoven, Netherlands.

7. University Hospital Leuven, 3000 Leuven, Belgium.

8. Department of Physiology and Pharmacology, Karolinska Institutet, Biomedicum 5B, 171 77 Solna, Sweden.

Abstract

A neural network model trained on full CYP2D6 gene sequences increases the ability to predict CYP2D6-mediated tamoxifen metabolism.

Funder

Horizon 2020

ZonMW

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

Reference77 articles.

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2. Pharmacogenomics

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4. Pharmacogenetics of cytochrome P450 and its applications in drug therapy: the past, present and future

5. Flexible and Scalable Full-Length CYP2D6 Long Amplicon PacBio Sequencing

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