Molecular genetic diagnosis of autosomal dominant polycystic kidney disease - A systematic review

常染色体显性多囊肾病的分子遗传学诊断——系统性综述

阅读:1

Abstract

BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD) is a genetically heterogeneous disorder primarily caused by pathogenic variants in PKD1 and PKD2. Although molecular testing has revolutionized diagnosis, variability persists in testing strategies and diagnostic yields. This review aims to evaluate molecular genetic techniques used in ADPKD diagnosis and summarize evidence on their diagnostic performance. METHOD: Following a predefined protocol and PRISMA 2020 guidelines, PubMed, Scopus, and Web of Science were searched for studies published between January 2015 and August 2025. Eligible studies included ≥ 30 clinically diagnosed ADPKD participants and reported patient-level diagnostic data. Two investigators independently extracted information on testing methods, diagnostic yield, and identified genes. RESULTS: From 23,718 records, 20 studies met inclusion criteria, with sample sizes ranging from 32 to 634 participants. Diagnostic methods included Sanger sequencing (SS), multiplex ligand-probe amplification (MLPA), long-range PCR (LR-PCR), targeted next-generation sequencing (NGS) panels, whole-exome sequencing (WES), and whole-genome sequencing (WGS). Detection rates ranged from 61% (LR-PCR) to 92% (targeted NGS). PKD1 and PKD2 variants accounted for 79.9% and 15.9% of cases, respectively. Additional variants were identified in GANAB, HNF1B, IFT140, PRKCSH, and PKHD1. CONCLUSION: Targeted NGS panels provided the highest diagnostic accuracy and cost-effectiveness for ADPKD. Complementary use of MLPA and LR-PCR improved detection of complex variants. Further optimization of sequencing workflows and variant interpretation will enhance diagnostic precision and clinical application. This review provides an evidence-based foundation for current diagnostic practices in ADPKD.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。