Observational studyThe pharmacogenomics journal2019
Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing.
Observational study in The pharmacogenomics journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The trial behind it
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Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- Evaluation of the performance of a prior tacrolimus population pharmacokinetic kidney transplant model among adult allogeneic hematopoietic stem cell transplant patients.Clinical and translational science · 2021Trial
- Hidden in Plain Sight: Low Tacrolimus Metabolism Doubles Kidney Transplant Failure and Drives Infection Related Mortality.Transplant international : official journal of the European Society for Organ Transplantation · 2025Article
- Pharmacogenomics education, research and clinical implementation in the state of Minnesota.Pharmacogenomics · 2021Review
- CYP3A5 and PPARA genetic variants are associated with low trough concentration to dose ratio of tacrolimus in kidney transplant recipients.European journal of clinical pharmacology · 2021Article
- A Machine Learning-Based Identification of Genes Affecting the Pharmacokinetics of Tacrolimus Using the DMETInternational journal of molecular sciences · 2020Article
- Influence of Germline Genetics on Tacrolimus Pharmacokinetics and Pharmacodynamics in Allogeneic Hematopoietic Stem Cell Transplant Patients.International journal of molecular sciences · 2020Article
- Tacrolimus troughs and genetic determinants of metabolism in kidney transplant recipients: A comparison of four ancestry groups.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2019Observational
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
An extreme phenotype sampling (EPS) model with targeted next-generation sequencing (NGS) identified genetic variants associated with tacrolimus (Tac) metabolism in subjects from the Deterioration of Kidney Allograft Function (DeKAF) Genomics cohort which included 1,442 European Americans (EA) and 345 African Americans (AA). This study included 48 subjects separated into 4 groups of 12 (AA high, AA low, EA high, EA low). Groups were selected by the extreme phenotype of dose-normalized Tac trough concentrations after adjusting for common genetic variants and clinical factors. NGS spanned > 3 Mb of 28 genes and identified 18,661 genetic variants (3961 previously unknown). A group of 125 deleterious variants, by SIFT analysis, were associated with Tac troughs in EAs (burden test, p = 0.008), CYB5R2 was associated with Tac troughs in AAs (SKAT, p = 0.00079). In CYB5R2, rs61733057 (increased allele frequency in AAs) was predicted to disrupt protein function by SIFT and PolyPhen2 analysis. The variants merit further validation.
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Registered trials
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