Evidence map›Paper›PMID 36075892›Full record

Trial reportNature communications2022

Pharmacogenomics polygenic risk score for drug response prediction using PRS-PGx methods.

Song Zhai, Hong Zhang, Devan V Mehrotra, Judong Shen

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
9.7field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 54 citations in OpenAlex.

  1. Polygenic risk scores in pharmacogenomics: methodological challenges, current applications, and perspectives for clinical implementation.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
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  11. Pharmacogenetics of childhood uncontrolled asthma.Expert review of clinical immunology · 2025
    Review
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  13. Polygenic Risk Scores in Human Disease.Clinical chemistry · 2025
    Review
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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

4 authors at 2 institutions in 1 country.

Song Zhai *Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, NJ, 07065, USA.
Hong Zhang *Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, NJ, 07065, USA.ORCID 0000-0002-8869-8671
Devan V MehrotraBiostatistics and Research Decision Sciences, Merck & Co., Inc., North Wales, PA, 19454, USA.
Judong ShenBiostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, NJ, 07065, USA. judong.shen@merck.com.ORCID 0000-0001-6150-1034
Decision Sciences (United States) · USMerck & Co., Inc., Rahway, NJ, USA (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polygenic risk scores (PRS) have been successfully developed for the prediction of human diseases and complex traits in the past years. For drug response prediction in randomized clinical trials, a common practice is to apply PRS built from a disease genome-wide association study (GWAS) directly to a corresponding pharmacogenomics (PGx) setting. Here, we show that such an approach relies on stringent assumptions about the prognostic and predictive effects of the selected genetic variants. We propose a shift from disease PRS to PGx PRS approaches by simultaneously modeling both the prognostic and predictive effects and further make this shift possible by developing a series of PRS-PGx methods, including a novel Bayesian regression approach (PRS-PGx-Bayes). Simulation studies show that PRS-PGx methods generally outperform the disease PRS methods and PRS-PGx-Bayes is superior to all other PRS-PGx methods. We further apply the PRS-PGx methods to PGx GWAS data from a large cardiovascular randomized clinical trial (IMPROVE-IT) to predict treatment related LDL cholesterol reduction. The results demonstrate substantial improvement of PRS-PGx-Bayes in both prediction accuracy and the capability of capturing the treatment-specific predictive effects while compared with the disease PRS approaches.

Indexed as

Genome-Wide Association StudyPharmacogeneticsBayes TheoremGenetic Predisposition to DiseaseHumansMultifactorial InheritancePolymorphism, Single NucleotideRisk Factors

Identifiers

PMID36075892
PMCPMC9458667
OpenAlexW4294954920

What Socratic 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 Socratic graph.