Evidence map›Paper›PMID 39457450›Full record

ArticleGenes2024

Validating Disease Associations of Drug-Metabolizing Enzymes through Genome-Wide Association Study Data Analysis.

Evan Leskiw, Adeline Whaley, Peter Hopwood, Tailyn Houston, Nehal Murib, Donna Al-Falih, Ryoichi Fujiwara

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Evan LeskiwDepartment of Pharmaceutical Sciences, College of Pharmacy, Northeast Ohio Medical University, Rootstown, OH 44272, USA.
Adeline WhaleyCollege of Medicine, Northeast Ohio Medical University, Rootstown, OH 44272, USA.
Peter HopwoodDepartment of Pharmaceutical Sciences, College of Pharmacy, Northeast Ohio Medical University, Rootstown, OH 44272, USA.
Tailyn HoustonDepartment of Pharmaceutical Sciences, College of Pharmacy, Northeast Ohio Medical University, Rootstown, OH 44272, USA.
Nehal MuribCollege of Arts and Sciences, Cleveland State University, Cleveland, OH 44115, USA.
Donna Al-FalihDepartment of Pharmaceutical Sciences, College of Pharmacy, Northeast Ohio Medical University, Rootstown, OH 44272, USA.
Ryoichi FujiwaraDepartment of Pharmaceutical Sciences, College of Pharmacy, Northeast Ohio Medical University, Rootstown, OH 44272, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesPhase I and phase II drug-metabolizing enzymes are crucial for the metabolism and elimination of various endogenous and exogenous compounds, such as small-molecule hormones, drugs, and xenobiotic carcinogens. While in vitro and animal studies have suggested a link between genetic mutations in these enzymes and an increased risk of cancer, human in vivo studies have provided limited supportive evidence.

methodsGenome-wide association studies (GWASs) are a powerful tool for identifying genes associated with specific diseases by comparing two large groups of individuals. In the present study, we analyzed a GWAS database to identify key diseases genetically associated with drug-metabolizing enzymes, focusing on UDP-glucuronosyltransferases (UGTs).

resultsOur analysis confirmed a strong association between the

conclusionsDespite the in vitro capability of UGT1 and UGT2 family enzymes to metabolize small-molecule carcinogens, the GWAS data did not indicate their genetic association with cancer, except for one study that linked

Indexed as

Genome-Wide Association StudyGlucuronosyltransferaseCholesterol, LDLGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideUGT1A1 EnzymeCholesterol, LDLGlucuronosyltransferaseUGT1A1 EnzymeUGT2B7 protein, humandrug metabolismenzymesgenome-wide association studypharmacogenomicsUDP-glucuronosyltransferase

Identifiers

PMID39457450
PMCPMC11507559

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