Suppr超能文献

利用全国范围内的全基因组测序技术,对囊性肾病的变异贡献进行量化分析。

Quantifying variant contributions in cystic kidney disease using national-scale whole-genome sequencing.

机构信息

Centre for Kidney and Bladder Health, University College London, London, United Kingdom.

Genomics England, Queen Mary University of London, London, United Kingdom.

出版信息

J Clin Invest. 2024 Aug 27;134(19):e181467. doi: 10.1172/JCI181467.

Abstract

BACKGROUNDCystic kidney disease (CyKD) is a predominantly familial disease in which gene discovery has been led by family-based and candidate gene studies, an approach that is susceptible to ascertainment and other biases.METHODSUsing whole-genome sequencing data from 1,209 cases and 26,096 ancestry-matched controls participating in the 100,000 Genomes Project, we adopted hypothesis-free approaches to generate quantitative estimates of disease risk for each genetic contributor to CyKD, across genes, variant types and allelic frequencies.RESULTSIn 82.3% of cases, a qualifying potentially disease-causing rare variant in an established gene was found. There was an enrichment of rare coding, splicing, and structural variants in known CyKD genes, with statistically significant gene-based signals in COL4A3 and (monoallelic) PKHD1. Quantification of disease risk for each gene (with replication in the separate UK Biobank study) revealed substantially lower risk associated with genes more recently associated with autosomal dominant polycystic kidney disease, with odds ratios for some below what might usually be regarded as necessary for classical Mendelian inheritance. Meta-analysis of common variants did not reveal significant associations, but suggested this category of variation contributes 3%-9% to the heritability of CyKD across European ancestries.CONCLUSIONBy providing unbiased quantification of risk effects per gene, this research suggests that not all rare variant genetic contributors to CyKD are equally likely to manifest as a Mendelian trait in families. This information may inform genetic testing and counseling in the clinic.

摘要

背景

囊性肾病 (CyKD) 主要是一种家族性疾病,其基因发现主要依赖于基于家族的候选基因研究,这种方法容易受到确定和其他偏差的影响。

方法

我们使用来自参与 100,000 基因组计划的 1,209 例病例和 26,096 名匹配的对照者的全基因组测序数据,采用无假设的方法,对 CyKD 的每个遗传因素(跨越基因、变异类型和等位基因频率)对疾病风险的定量估计。

结果

在 82.3%的病例中,发现了一个有资格的、已确定的罕见致病变异体在一个既定的基因中。在已知的 CyKD 基因中,存在丰富的罕见编码、剪接和结构变异,COL4A3 和(单等位基因)PKHD1 具有统计学意义的基因水平信号。对每个基因的疾病风险进行量化(在独立的英国生物库研究中进行了复制),发现与最近与常染色体显性多囊肾病相关的基因相关的风险显著降低,一些基因的比值比通常认为是经典孟德尔遗传所必需的要低。常见变异的荟萃分析没有发现显著的相关性,但表明这一类变异在欧洲血统中对 CyKD 的遗传率贡献了 3%-9%。

结论

通过提供每个基因风险效应的无偏量化,这项研究表明,并非所有导致 CyKD 的罕见变异遗传因素都有可能以孟德尔性状在家族中表现出来。这些信息可能为临床中的基因检测和咨询提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71f6/11444187/9ace5d909654/jci-134-181467-g116.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验