Extrarenal clinical features are reported for most genes implicated in genetic kidney disease

Author:

Serrano Benjamin1,Savige Judy2ORCID

Affiliation:

1. The University of Melbourne

2. University of Melbourne

Abstract

Abstract Background: Genetic kidney disease is typically suspected where there is a positive family history or extrarenal features. This study examined how often these criteria might be expected in genetic kidney disease. Methods: Two hundred and fifty-five genes from the Genomics England ‘green lists’ for Congenital Kidney Anomalies of the Kidney and Urinary Tract (CAKUT)(n=57), the Ciliopathies and Cystic kidney diseases (n=90), Haematuria (n=5), Renal proteinuria (n=55) and the Renal Tubulopathies (n=48) were examined for mode of inheritance and, in OMIM, for reported clinical features in different systems (neurological, cardiac etc) that would be obvious on history or physical examination. Results: Biallelic inheritance alone was recorded for 148 of the 248 genes (60%) with an OMIM entry. Extrarenal features were associated with 221 genes (89%) including those for Haematuria (5, 100%), Renal ciliopathies (86, 97%), CAKUT (52, 91%), Renal tubulopathies (41, 85%) and Proteinuric renal disease (37, 76%). The median number of affected systems was 4 (range 0 – 10). More extrarenal features were associated with CAKUT (4, 0 – 10) and the Ciliopathies (5, 0 – 9) than for Haematuria (2, 2-5), Proteinuria (3, 0-7) and the Tubulopathies (3, 0-7) (p<0.00001). The commonest systems affected were growth and musculoskeletal (164, 66%), neurological (147, 59%), and ocular (133, 54%). Conclusions: The biallelic inheritance means that a family history is absent for many genes affected in genetic kidney disease. While extrarenal features are reported with most genes, extrarenal anomalies are more common in CAKUT and the ciliopathies. However data are limited on how often features occur in affected individuals.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3