Whole exome sequencing and polygenic risk assessment for kidney functions and clinical management in both hospital-based cohort and population-based Asian cohorts.

IF 12.1 2区 医学 Q1 CELL BIOLOGY
Min-Rou Lin, I-Wen Wu, Wan-Hsuan Chou, Yung-Feng Lin, Kuan-Yu Hung, Kaname Kojima, Kosuke Shido, Kengo Kinoshita, Wei-Chiao Chang, Mai-Szu Wu
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引用次数: 0

Abstract

Background: Taiwan has the highest prevalence of chronic kidney disease (CKD) and end-stage kidney disease (ESKD) globally, making them major public health concerns with significant morbidity, mortality, and healthcare burden. While genetic risk factors for kidney disease have been identified in previous studies, the contribution of rare genetic variants remains unclear.

Methods: This study utilized whole-exome sequencing (WES) to investigate the role of missense rare variants in CKD and ESKD susceptibility. Genomic data from 500 Taiwanese individuals at Taipei Medical University Hospital were included based on strict clinical diagnostic criteria, comprising 200 CKD cases, 200 ESKD cases, and 100 healthy controls. Independent validation was performed using ESKD Asian cohorts from the All of Us Research Program (AoU) (N = 222) and the Tohoku Medical Megabank Organization (ToMMo) (N = 140).

Results: We identified rare pathogenic variants in known monogenic kidney disease genes, including PKD1 and COL4A4, confirming their role in disease susceptibility. We replicated GWAS-reported genes such as SPI1, RIN3, FTO, SIPA1L3, and EEF1E1, highlighting their contribution through both common and rare variants. Beyond previously reported genes, we identified novel rare pathogenic variants in PEX1, GANAB, DYNC2H1, and PROKR2. Pathway enrichment analysis suggested that ciliopathies, inflammation, and metabolic dysfunction may contribute to kidney disease progression. Furthermore, the polygenic score (PGS) for ESKD demonstrated strong predictive utility for kidney function, with high genetic risk having a greater influence than comorbidities such as diabetes and overweight. The prediction power of ESKD PGS was further confirmed in the AoU Asian population.

Conclusions: This study provides novel insights into the genetic architecture of CKD and ESKD in the Taiwanese population, utilizing a hospital-based cohort with strict clinical diagnostic criteria to ensure precise phenotype classification. We propose that individuals with high genetic risk may benefit from earlier interventions, while those with lower PGS may be better managed through lifestyle modifications targeting comorbidities. The findings highlight the importance of preventive strategies and precision medicine in kidney disease management.

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全外显子组测序和多基因风险评估对肾功能和临床管理的医院队列和人群为基础的亚洲队列。
背景:台湾是全球慢性肾脏疾病(CKD)和终末期肾脏疾病(ESKD)患病率最高的地区,使其成为主要的公共卫生问题,具有显著的发病率、死亡率和医疗负担。虽然在以前的研究中已经确定了肾脏疾病的遗传风险因素,但罕见的遗传变异的作用仍然不清楚。方法:本研究利用全外显子组测序(WES)研究错义罕见变异在CKD和ESKD易感性中的作用。根据严格的临床诊断标准,纳入了来自台北医科大学医院500名台湾个体的基因组数据,其中包括200例CKD病例,200例ESKD病例和100例健康对照。采用来自All of Us Research Program (AoU) (N = 222)和Tohoku Medical Megabank Organization (ToMMo) (N = 140)的ESKD亚洲队列进行独立验证。结果:我们在已知的单基因肾病基因中发现了罕见的致病变异,包括PKD1和COL4A4,证实了它们在疾病易感性中的作用。我们复制了gwas报道的基因,如SPI1、RIN3、FTO、SIPA1L3和EEF1E1,强调了它们在常见和罕见变异中的作用。除了先前报道的基因外,我们还在PEX1、GANAB、DYNC2H1和PROKR2中发现了新的罕见致病变异。途径富集分析表明,纤毛病、炎症和代谢功能障碍可能有助于肾脏疾病的进展。此外,ESKD的多基因评分(PGS)显示出对肾功能的强大预测效用,高遗传风险比糖尿病和超重等合并症具有更大的影响。在AoU亚洲人群中进一步证实了ESKD PGS的预测能力。结论:本研究为台湾人群CKD和ESKD的遗传结构提供了新的见解,利用基于医院的队列,严格的临床诊断标准,以确保精确的表型分类。我们建议具有高遗传风险的个体可能从早期干预中受益,而那些具有较低PGS的个体可能通过针对合并症的生活方式改变得到更好的管理。研究结果强调了预防策略和精准医学在肾脏疾病管理中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biomedical Science
Journal of Biomedical Science 医学-医学:研究与实验
CiteScore
18.50
自引率
0.90%
发文量
95
审稿时长
1 months
期刊介绍: The Journal of Biomedical Science is an open access, peer-reviewed journal that focuses on fundamental and molecular aspects of basic medical sciences. It emphasizes molecular studies of biomedical problems and mechanisms. The National Science and Technology Council (NSTC), Taiwan supports the journal and covers the publication costs for accepted articles. The journal aims to provide an international platform for interdisciplinary discussions and contribute to the advancement of medicine. It benefits both readers and authors by accelerating the dissemination of research information and providing maximum access to scholarly communication. All articles published in the Journal of Biomedical Science are included in various databases such as Biological Abstracts, BIOSIS, CABI, CAS, Citebase, Current contents, DOAJ, Embase, EmBiology, and Global Health, among others.
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