Evidence map›Paper›PMID 41488031›Full record

ArticleGenetics in medicine open2025

ApplyPolygenicScore: An R package for applying polygenic risk score models.

Nicole Zeltser, Rachel M A Dang, Rupert Hugh-White, Daniel Knight, Jaron Arbet, Paul C Boutros

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genetics in medicine open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Nicole ZeltserDepartment of Human Genetics, University of California, Los Angeles, CA.
Rachel M A DangDepartment of Human Genetics, University of California, Los Angeles, CA.
Rupert Hugh-WhiteDepartment of Human Genetics, University of California, Los Angeles, CA.
Daniel KnightDepartment of Human Genetics, University of California, Los Angeles, CA.
Jaron ArbetDepartment of Human Genetics, University of California, Los Angeles, CA.
Paul C BoutrosDepartment of Human Genetics, University of California, Los Angeles, CA.

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Robert Damoiseaux · 1985 to 2026
$134.5M
Tool Core- BoutrosU54HG012517 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BUI, ALEX, PING, PEIPEI · 2022 to 2025
$10.6M
Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Virginia-UCLA-Toronto Biomarker Characterization CenterU2CCA271894 · NCI · OLD DOMINION UNIVERSITY · PI OLIVER John SEMMES · 2022 to 2026
$3.2M
Germline Determinants of Prostate Cancer EvolutionR01CA270108 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PAUL T. SPELLMAN · 2023 to 2026
$2.9M
Development of Protein Biomarkers in Post-DRE Urine for use in Liquid Biopsy of Prostate CancerU01CA214194 · NCI · EASTERN VIRGINIA MEDICAL SCHOOL · PI BOUTROS, PAUL CHRISTOPHER, KISLINGER, THOMAS · 2016 to 2021
$2.5M
Predicting prostate cancer clinical outcomes with germline genomic biomarkersF31CA281168 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZELTSER, NICOLE · 2024 to 2025
$83k
NCI NIH HHS F31 CA281168NCI NIH HHS P30 CA016042NCI NIH HHS R01 CA270108NCI NIH HHS U01 CA214194NCI NIH HHS U2C CA271894NHGRI NIH HHS T32 HG002536NHGRI NIH HHS U54 HG012517
6 · The paper itself

Abstract

Purpose: A polygenic score (PGS) predicts an individual's genetic predisposition to a complex trait. A PGS is created by estimating the relative contributions of multiple common variants to the overall trait, creating a polygenic risk model (PGM). The PGM is then applied by combining its weights with the genotypes of a specific individual to estimate individual-specific genetic predisposition. Genome-wide association studies have served as the basis for thousands of PGMs, leading to many studies associating PGSs with a range of outcomes. Methods: To simplify, improve, and automate this task, we developed Results: Conclusion:

Indexed as

Body mass indexCancerPolygenic risk modelPolygenic risk score

Identifiers

PMID41488031
PMCPMC12755996

What OpenQuestion holds

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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.