Evidence map›Paper›PMID 25485598›Full record

ArticlePharmacogenetics and genomics2015

A pharmacogenetic candidate gene study of tenofovir-associated Fanconi syndrome.

Amber Dahlin, Matthias Wittwer, Melanie de la Cruz, Jonathan M Woo, Rujuta Bam, Valeska Scharen-Guivel, John Flaherty, Adrian S Ray, Tomas Cihlar, Samir K Gupta and 1 more

Open access · greenAbstract read
In one paragraph

Article in Pharmacogenetics and genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 28 citations in OpenAlex.

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  12. Renal Drug Transporters and Drug Interactions.Clinical pharmacokinetics · 2017
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Amber DahlinaDepartment of Bioengineering and Therapeutic Sciences bInstitute of Human Genetics, University of California cGenomics Core Facility, Institute for Human Genetics, San Francisco dGilead Sciences Inc., Foster City, California eDivision of Infectious Diseases, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Matthias Wittwer
Melanie de la Cruz
Jonathan M Woo
Rujuta Bam
Valeska Scharen-Guivel
John Flaherty
Adrian S Ray
Tomas Cihlar
Samir K Gupta
Kathleen M Giacomini
PharmacoGenetics (China) · CNGilead Sciences (United States) · USHarvard University · USIndiana University School of MedicineUniversity of California System · US

Funding

PHARMACOGENETICS OF MEMBRANE TRANSPORTERSU01GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GIACOMINI, KATHLEEN M · 2000 to 2009
$29.2M
Pharmacogenomics of Membrane TransportersU19GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2010 to 2014
$16.3M
Training in Molecular& Genetic Epidemiology of CancerR25CA112355 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2005 to 2018
$6.5M
NCI NIH HHS R25 CA112355NIGMS NIH HHS GM61390NIGMS NIH HHS U01 GM061390NIGMS NIH HHS U19 GM061390
6 · The paper itself

Abstract

backgroundTenofovir disoproxil fumarate (TDF) is a widely used antiretroviral agent with favorable efficacy, safety, and tolerability profiles. However, renal adverse events, including the rare Fanconi syndrome (FS), may occur in a small subset of patients treated for HIV infections.

objectivesThe aim of this study was to identify genetic variants that may be associated with TDF-associated FS (TDF-FS).

methodsDNA samples collected from 19 cases with TDF-FS and 36 matched controls were sequenced, and genetic association studies were conducted on eight candidate genes: ATP-binding cassette (ABC) transporters ABCC2 (MRP2) and ABCC4 (MRP4), solute carrier family members SLC22A6 (OAT1) and SLC22A8 (OAT3), adenylate kinases 2 (AK2) and 4 (AK4), chloride transporter CIC-5 CLCN5, and Lowe syndrome protein OCRL. The functional effects of a single nucleotide polymorphism (SNP) predicted to alter the transport of tenofovir were then investigated in cells expressing an identified variant of ABCC4.

resultsThe case group showed a trend toward a higher proportion of rare alleles. Six SNPs in ABCC2 (three SNPs), ABCC4 (one SNP), and OCRL (two SNPs) were associated with TDF-FS case status; however, this association did not remain significant after correction for multiple testing. Six SNPs, present in OCRL (four SNPs) and ABCC2 (two SNPs), were significantly associated with increased serum creatinine levels in the cases, and this association remained significant after multiple test correction (P < 2 × 10). One synonymous SNP in ABCC2 (rs8187707, P = 2.10 × 10, β = -73.3 ml/min/1.73 m(2)) was also significantly associated with the decreased estimated glomerular filtration rate of creatinine among cases. However, these results were driven by rare SNPs present in a small number of severely affected cases. Finally, a previously uncharacterized, nonsynonymous SNP, rs11568694, that was predicted to alter MRP4 function had no significant effect on tenofovir cellular accumulation in vitro.

conclusionAlthough no single predictive genetic marker for the development of TDF-FS was identified, the findings from our study suggest that rare variants in multiple genes involved in the renal handling of tenofovir, and/or renal cell homeostasis, may be associated with increased susceptibility to TDF-FS.

Indexed as

Genetic Association StudiesPharmacogeneticsAdenineAllelesAnti-HIV AgentsBiomarkers, PharmacologicalCase-Control StudiesFanconi SyndromeHEK293 CellsHIV-1HIV InfectionsHumansMultidrug Resistance-Associated Protein 2OrganophosphonatesPolymorphism, Single NucleotideSequence Analysis, DNAABCC2 protein, humanAdenineAnti-HIV AgentsBiomarkers, PharmacologicalMultidrug Resistance-Associated Protein 2OrganophosphonatesTenofovir

Identifiers

PMID25485598
PMCPMC4331349
OpenAlexW2023418826

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.