Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing

for DeKAF Genomics

doi:10.1038/s41397-018-0063-z

Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing

for DeKAF Genomics

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

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.

Original language	English (US)
Pages (from-to)	375-389
Number of pages	15
Journal	Pharmacogenomics Journal
Volume	19
Issue number	4
DOIs	https://doi.org/10.1038/s41397-018-0063-z
State	Published - Aug 1 2019

ASJC Scopus subject areas

Molecular Medicine
Genetics
Pharmacology

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@article{5b6bcb7555964d19a4d53047912267dc,

title = "Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing",

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.",

author = "{for DeKAF Genomics} and Dorr, {Casey R.} and Baolin Wu and Remmel, {Rory P.} and Amutha Muthusamy and Schladt, {David P.} and Abrahante, {Juan E.} and Weihua Guan and Mannon, {Roslyn B.} and Matas, {Arthur J.} and Oetting, {William S.} and Jacobson, {Pamala A.} and Israni, {Ajay K.} and Matas, {Arthur J.} and Cecka, {J. Michael} and Connett, {John E.} and Cosio, {Fernando G.} and Gaston, {Robert S.} and Sita Gourishankar and Grande, {Joseph P.} and Hunsicker, {Lawrence G.} and Kasiske, {Bertram L.} and Rush, {David N.}",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Limited.",

year = "2019",

month = aug,

day = "1",

doi = "10.1038/s41397-018-0063-z",

language = "English (US)",

volume = "19",

pages = "375--389",

journal = "Pharmacogenomics Journal",

issn = "1470-269X",

publisher = "Nature Publishing Group",

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TY - JOUR

T1 - Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing

AU - for DeKAF Genomics

AU - Dorr, Casey R.

AU - Wu, Baolin

AU - Remmel, Rory P.

AU - Muthusamy, Amutha

AU - Schladt, David P.

AU - Abrahante, Juan E.

AU - Guan, Weihua

AU - Mannon, Roslyn B.

AU - Matas, Arthur J.

AU - Oetting, William S.

AU - Jacobson, Pamala A.

AU - Israni, Ajay K.

AU - Matas, Arthur J.

AU - Cecka, J. Michael

AU - Connett, John E.

AU - Cosio, Fernando G.

AU - Gaston, Robert S.

AU - Gourishankar, Sita

AU - Grande, Joseph P.

AU - Hunsicker, Lawrence G.

AU - Kasiske, Bertram L.

AU - Rush, David N.

PY - 2019/8/1

Y1 - 2019/8/1

N2 - 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.

AB - 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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U2 - 10.1038/s41397-018-0063-z

DO - 10.1038/s41397-018-0063-z

M3 - Article

C2 - 30442921

AN - SCOPUS:85056771371

SN - 1470-269X

VL - 19

SP - 375

EP - 389

JO - Pharmacogenomics Journal

JF - Pharmacogenomics Journal

IS - 4

ER -

Identification of genetic variants associated with tacrolimus metabolism in kidney transplant recipients by extreme phenotype sampling and next generation sequencing

Abstract

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