Evidence map›Paper›PMID 41725785›Full record

ArticleClinical kidney journal2026

Screening for genetic kidney diseases in a dialysis cohort via exome sequencing.

Zhi-Ying Liu, Ya-Ling Zhang, Yang Li, Jing-Fang Han, Zhuo-Ran Song, Jia-Yi Zhang, Ting-Hui Qu, Rong Xu, Hong Zhang, Xiao-Li Chen and 1 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

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4 · The record

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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

11 authors.

Zhi-Ying LiuRenal Division, Peking University First Hospital, Beijing, China.
Ya-Ling ZhangDepartment of Nephrology, Peking University First Hospital Taiyuan Hospital (Taiyuan Central Hospital), Taiyuan, China.
Yang LiRenal Division, Peking University First Hospital, Beijing, China.
Jing-Fang HanDepartment of Nephrology, Peking University First Hospital Taiyuan Hospital (Taiyuan Central Hospital), Taiyuan, China.
Zhuo-Ran SongRenal Division, Peking University First Hospital, Beijing, China.
Jia-Yi ZhangRenal Division, Peking University First Hospital, Beijing, China.
Ting-Hui QuRenal Division, Peking University First Hospital, Beijing, China.
Rong XuRenal Division, Peking University First Hospital, Beijing, China.
Hong ZhangRenal Division, Peking University First Hospital, Beijing, China.
Xiao-Li ChenDepartment of Nephrology, Peking University First Hospital Taiyuan Hospital (Taiyuan Central Hospital), Taiyuan, China.
Xu-Jie ZhouRenal Division, Peking University First Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Monogenic causes are increasingly recognized in end-stage kidney disease (ESKD), but the real-world diagnostic efficacy of exome sequencing in unselected dialysis cohorts is still being defined. Methods: We conducted a prospective study enrolling 317 adult ESKD patients from a single center in Taiyuan, China, regardless of presumed etiology. Whole-exome sequencing (WES) was performed on peripheral blood DNA. Variants were curated and classified per the American College of Medical Genetics and Genomics/Association for Molecular Pathology (ACMG/AMP) 2015 and Association for Clinical Genomic Science (ACGS) guidelines, with only "pathogenic" or "likely pathogenic" findings considered diagnostic. Results: The cohort was 59% male, mean ESKD onset 53.2 ± 14.3 years. A definitive monogenic diagnosis emerged in 7.3% (23/317) of patients, in line with multicenter and international studies. Genes most frequently implicated were Conclusions: In a real-world Chinese dialysis cohort, WES provided a molecular diagnosis in 7.3% of cases, demonstrating clinical utility for risk stratification, family counseling, donor selection and actionable therapy. These findings underscore the need for routine integration of genetic testing in ESKD care irrespective of family history, especially to clarify ambiguous cases and optimize management.

Indexed as

clinical utilitydialysisend-stage kidney diseasegenetic diagnosiswhole-exome sequencing

Identifiers

PMID41725785
PMCPMC12916740

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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.