Evidence map›Paper›PMID 42436695›Full record

ArticleKidney international reports2026

Scoping Review of Polygenic Risk Scores in Kidney-Related Traits.

Yuka Sugawara, Kaoru Ito, Masao Iwagami, Ryota Inokuchi, Yoshihito Nihei, Masaomi Nangaku, Yosuke Hirakawa

Abstract read
In one paragraph

Article in Kidney international reports, 2026. 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

7 authors.

Yuka SugawaraDivision of Nephrology and Endocrinology, The University of Tokyo, Tokyo, Japan.
Kaoru ItoLaboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Masao IwagamiDepartment of Digital Health, Institute of Medicine, University of Tsukuba, Tsukuba, Japan.
Ryota InokuchiDepartment of Emergency and Critical Care Medicine, The University of Tokyo Hospital, Tokyo, Japan.
Yoshihito NiheiDepartment of Nephrology, Juntendo University Faculty of Medicine, Tokyo, Japan.
Masaomi NangakuDivision of Nephrology and Endocrinology, The University of Tokyo, Tokyo, Japan.
Yosuke HirakawaDivision of Nephrology and Endocrinology, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Large-scale genome-wide association studies (GWAS) have identified numerous loci associated with various diseases and traits, enabling the development of polygenic risk scores (PRS) and genetic risk scores (GRS) that capture cumulative effects of variants. Although these scores have been applied in nephrology, no review has systematically evaluated their implementation or performance. This review aimed to summarize the current landscape of PRS and GRS related to kidney traits and diseases. Methods: In April 2025, we searched PubMed, Embase, Scopus, and Web of Science for peer-reviewed articles and preprints following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Review guidelines. Studies were included if they developed or evaluated PRS and GRS for kidney-related traits. Data on study characteristics, score construction, and performance metrics were extracted. Results: Of the 1947 records identified, 104 met the inclusion criteria, encompassing 129 unique scores or evaluations. The most frequently studied traits were chronic kidney disease (CKD, Conclusion: Current evidence suggests that the clinical utility of PRS and GRS in nephrology depends on the context. Improved diversity, phenotype definition, and methodological standardization are essential for enhancing translational potential.

Indexed as

albuminuriachronic kidney diseasegenetic risk scoregenetic scorepolygenic risk scoreproteinuria

Identifiers

PMID42436695
PMCPMC13355474

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.