Evidence map›Paper›PMID 38020121›Full record

ArticleFrontiers in medicine2023

Estimating the efficacy of pharmacogenomics over a lifetime.

Zhan Ye, John Mayer, Emili J Leary, Terrie Kitchner, Richard A Dart, Murray H Brilliant, Scott J Hebbring

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. Pharmacogenetics: Opportunities for theAnnual review of pharmacology and toxicology · 2025
    Review
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 at 1 institution in 1 country.

Zhan YeMarshfield Clinic Research Institute, Marshfield, WI, United States.
John MayerMarshfield Clinic Research Institute, Marshfield, WI, United States.
Emili J LearyMarshfield Clinic Research Institute, Marshfield, WI, United States.
Terrie KitchnerMarshfield Clinic Research Institute, Marshfield, WI, United States.
Richard A DartMarshfield Clinic Research Institute, Marshfield, WI, United States.
Murray H BrilliantMarshfield Clinic Research Institute, Marshfield, WI, United States.
Scott J HebbringMarshfield Clinic Research Institute, Marshfield, WI, United States.
Marshfield Clinic · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
PheWAS of Loss-of-Function VariantsR01GM114128 · NIGMS · MARSHFIELD CLINIC RESEARCH FOUNDATION · PI HEBBRING, SCOTT JOSEPH · 2015 to 2019
$1.7M
Development and Application of Phenome-wide Scan of Heritability (PheSH)K22LM011938 · NLM · MARSHFIELD CLINIC RESEARCH FOUNDATION · PI HEBBRING, SCOTT JOSEPH · 2014 to 2016
$405k
NCATS NIH HHS UL1 TR002373NCRR NIH HHS UL1 RR025011NIGMS NIH HHS R01 GM114128NLM NIH HHS K22 LM011938NLM NIH HHS T15 LM007359
6 · The paper itself

Abstract

It is well known that common variants in specific genes influence drug metabolism and response, but it is currently unknown what fraction of patients are given prescriptions over a lifetime that could be contraindicated by their pharmacogenomic profiles. To determine the clinical utility of pharmacogenomics over a lifetime in a general patient population, we sequenced the genomes of 300 deceased Marshfield Clinic patients linked to lifelong medical records. Genetic variants in 33 pharmacogenes were evaluated for their lifetime impact on drug prescribing using extensive electronic health records. Results show that 93% of the 300 deceased patients carried clinically relevant variants. Nearly 80% were prescribed approximately three medications on average that may have been impacted by these variants. Longitudinal data suggested that the optimal age for pharmacogenomic testing was prior to age 50, but the optimal age is greatly influenced by the stability of the population in the healthcare system. This study emphasizes the broad clinical impact of pharmacogenomic testing over a lifetime and demonstrates the potential application of genomic medicine in a general patient population for the advancement of precision medicine.

Indexed as

drug responceelectronic health record (EHR)individualized medicinePharmacogenenomics and personalised medicineprecision medicine

Identifiers

PMID38020121
PMCPMC10645151
OpenAlexW4388071295

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.