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Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing
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 34...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522337/ https://www.ncbi.nlm.nih.gov/pubmed/30442921 http://dx.doi.org/10.1038/s41397-018-0063-z |
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author | Dorr, Casey R. Wu, Baolin Remmel, Rory P. Muthusamy, Amutha Schladt, David P. Abrahante, Juan E. Guan, Weihua Mannon, Roslyn B. Matas, Arthur J. Oetting, William S. Jacobson, Pamala A. Israni, Ajay K. |
author_facet | Dorr, Casey R. Wu, Baolin Remmel, Rory P. Muthusamy, Amutha Schladt, David P. Abrahante, Juan E. Guan, Weihua Mannon, Roslyn B. Matas, Arthur J. Oetting, William S. Jacobson, Pamala A. Israni, Ajay K. |
author_sort | Dorr, Casey R. |
collection | PubMed |
description | 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 (3,961 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. |
format | Online Article Text |
id | pubmed-6522337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-65223372019-07-24 Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing Dorr, Casey R. Wu, Baolin Remmel, Rory P. Muthusamy, Amutha Schladt, David P. Abrahante, Juan E. Guan, Weihua Mannon, Roslyn B. Matas, Arthur J. Oetting, William S. Jacobson, Pamala A. Israni, Ajay K. Pharmacogenomics J Article 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 (3,961 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. 2018-11-16 2019-08 /pmc/articles/PMC6522337/ /pubmed/30442921 http://dx.doi.org/10.1038/s41397-018-0063-z Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Dorr, Casey R. Wu, Baolin Remmel, Rory P. Muthusamy, Amutha Schladt, David P. Abrahante, Juan E. Guan, Weihua Mannon, Roslyn B. Matas, Arthur J. Oetting, William S. Jacobson, Pamala A. Israni, Ajay K. Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing |
title | Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing |
title_full | Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing |
title_fullStr | Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing |
title_full_unstemmed | Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing |
title_short | Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing |
title_sort | identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6522337/ https://www.ncbi.nlm.nih.gov/pubmed/30442921 http://dx.doi.org/10.1038/s41397-018-0063-z |
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