Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Predictive Modeling of Tacrolimus Dose Requirement Based on High-Throughput Genetic Screening.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons - 1 Apr 2017

Damon C, Luck M, Toullec L, Etienne I, Buchler M, Hurault de Ligny B, Choukroun G, Thierry A, Vigneau C, Moulin B, Heng A-E, Subra J-F, Legendre C, Monnot A, Yartseva A, Bateson M, Laurent-Puig P, Anglicheau D, Beaune P, Loriot M A, Thervet E, Pallet N

Abstract excerpt

Any biochemical reaction underlying drug metabolism depends on individual gene-drug interactions and on groups of genes interacting together. Based on a high-throughput genetic approach, we sought to identify a set of covariant single-nucleotide polymorphisms predictive of interindividual tacrolimus (Tac) dose requirement variability. Tac blood concentrations (Tac C0 ) of 229 kidney transplant recipients were...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Genetic Testing
Share to Graft Rejection

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to High-Throughput Screening Assays

Share to Immunosuppressive Agents

Share to Kidney Transplantation

Share to Models, Statistical

Share to Tacrolimus

Share to Transplant Recipients

Source

Identifiers

PMID: 27597269
DOI: 10.1111/ajt.14040

Genes

ABCC8

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Predictive Modeling of Tacrolimus Dose Requirement Based on High-Throughput Genetic Screening.PMID 27597269Read ↗

Current progress of tacrolimus dosing in solid organ transplant recipients: Pharmacogenetic considerations.Semantic proximity Read ↗

Pharmacogenomic Determinants of Post-Liver Transplant Diabetes Mellitus: A Systematic Review and In Silico Pharmacogenomic AnalysisSemantic proximity Read ↗

A Machine Learning-Based Identification of Genes Affecting the Pharmacokinetics of Tacrolimus Using the DMETTM Plus Platform.Semantic proximity Read ↗

Using genetic and clinical factors to predict tacrolimus dose in renal transplant recipients.Semantic proximity Read ↗

The use of a DNA biobank linked to electronic medical records to characterize pharmacogenomic predictors of tacrolimus dose requirement in kidney transplant recipients.Semantic proximity Read ↗

Genotype-Guided Model for Prediction of Tacrolimus Initial Dosing After Lung Transplantation.Semantic proximity Read ↗

Unraveling the Genomic Architecture of the CYP3A Locus and ADME Genes for Personalized Tacrolimus Dosing.Semantic proximity Read ↗

Dosing equation for tacrolimus using genetic variants and clinical factors.Semantic proximity Read ↗

Machine learning-based method for tacrolimus dose predictions in Chinese kidney transplant perioperative patients.Semantic proximity Read ↗

An Integrated Clinical and Genetic Prediction Model for Tacrolimus Levels in Pediatric Solid Organ Transplant Recipients.Semantic proximity Read ↗

Dosing algorithm for Tacrolimus in Tunisian Kidney transplant patients: Effect of CYP 3A4*1B and CYP3A4*22 polymorphisms.Semantic proximity Read ↗

Clinical implementation of pharmacogenetics in kidney transplantation: calcineurin inhibitors in the starting blocks.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.