Bensouna Ilias, Robert Thomas, Vanhoye Xavier, Dancer Marine, Raymond Laure, Delaugère Pierre, Hilbert Pascale, Richard Hugues, Mesnard Laurent
Soins Intensifs Néphrologiques et Rein Aigu (SINRA), Nephrology Department, Tenon Hospital, Assistance Publique - Hôpitaux de Paris, Paris, France.
Inserm UMR_S1155, Paris, France.
J Am Soc Nephrol. 2025 Feb 1;36(2):256-263. doi: 10.1681/ASN.0000000503. Epub 2024 Sep 26.
is associated with autosomal dominant tubulointerstitial kidney disease, a genetic disorder progressing to kidney failure. Variations in this gene are not easily diagnosed by conventional methods due to the architecture, which contains a variable number of tandem repeats. Using dedicated bioinformatics tools, we systematically detected the presence of 27dupC most common pathogenic variant from exome sequencing data.
The gene is associated with autosomal dominant tubulointerstitial kidney disease (ADTKD), leading to CKD. Current methods of sequencing, such as exome sequencing, rarely detect pathogenic variants because of the variable number of tandem repeats (VNTR) in exon2. We demonstrated that combining fast read filtering with a sensitive VNTR genotyping strategy enables systematic screening of 27dupC pathogenic variant from exome data.
We initially validated our bioinformatics pipeline in a proof-of-concept cohort incorporating exome data from 33 participants with a known pathogenic variant identified by Snapshot PCR and confirmed by 54 -negative individuals for negative control. We then retrospectively analyzed exome sequencing data from January 2019 to October 2023 from 3512 adult participants with nephropathy of unknown origin. Finally, we prospectively validated our pipeline in 825 additional participants enrolled from November 2023.
SharkVNTyper accurately identified variants in 32 of 33 participants and excluded its presence in all the 54 negative controls in the proof-of-concept cohort (sensitivity of 97%, specificity of 100%). Integration of the Shark tool with VNTyper significantly reduced running time from 6–12 hours to 5–10 minutes per sample, allowing both retrospective and prospective analyses. In the retrospective cohort, SharkVNTyper identified 23 additional positive participants who were not suspected clinically and had been missed in the initial exome analysis; 18 of these participants were confirmed as carrying the 27dupC mutation by low-throughput Snapshot PCR. In the prospective cohort of 825 participants with CKD, systematic screening discovered 13 positive participants, with 12 confirmed by PCR. Overall, of 63 participants (1.4% of 4653) with molecularly confirmed ADTKD-, comprehensive diagnoses and descriptions of the disease were available for 24 participants. The median age of kidney failure was 50 years, 38% exhibited bilateral multiple kidney cysts, 8% had early-onset gout, and 58% had arterial hypertension.
SharkVNTyper enabled the analysis of highly repeated regions, such as the VNTR, and facilitated the systematic screening of ADTKD- from exome data, fostering 27dupC variation identification.
This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/JASN/2024_11_15_KTS_November2024.mp3
与常染色体显性遗传性肾小管间质性肾病相关,这是一种会发展为肾衰竭的遗传性疾病。由于该基因结构中包含可变数量的串联重复序列,传统方法不易诊断其变异。我们使用专门的生物信息学工具,从外显子组测序数据中系统地检测到了最常见的致病变异27dupC。
该基因与常染色体显性遗传性肾小管间质性肾病(ADTKD)相关,可导致慢性肾脏病(CKD)。由于外显子2中可变数量的串联重复序列(VNTR),当前的测序方法,如外显子组测序,很少能检测到致病变异。我们证明,将快速读取过滤与灵敏的VNTR基因分型策略相结合,能够从外显子数据中系统地筛查27dupC致病变异。
我们最初在一个概念验证队列中验证了我们的生物信息学流程,该队列纳入了33名通过Snapshot PCR鉴定出已知致病变异并经54名阴性个体确认作为阴性对照的参与者的外显子组数据。然后,我们回顾性分析了2019年1月至2023年10月来自3512名不明原因肾病成年参与者的外显子组测序数据。最后,我们在前瞻性地验证了我们的流程,这825名额外的参与者于2023年11月入组。
SharkVNTyper在概念验证队列的33名参与者中的32名中准确鉴定出变异,并在所有54名阴性对照中排除了该变异的存在(敏感性为97%,特异性为100%)。将Shark工具与VNTyper整合后,每个样本的运行时间从6 - 12小时显著缩短至5 - 10分钟,从而可以进行回顾性和前瞻性分析。在回顾性队列中,SharkVNTyper识别出另外23名临床上未被怀疑且在最初的外显子组分析中被遗漏的阳性参与者;其中18名参与者通过低通量Snapshot PCR被确认为携带27dupC突变。在825名患有CKD的前瞻性队列参与者中,系统筛查发现了13名阳性参与者,其中12名通过PCR得到确认。总体而言,在4653名参与者中有63名(1.4%)经分子学确诊为ADTKD -,对其中24名参与者可进行该疾病的全面诊断和描述。肾衰竭的中位年龄为50岁,38%表现为双侧多发性肾囊肿,8%有早发性痛风,58%有动脉高血压。
SharkVNTyper能够分析高度重复区域,如VNTR,并有助于从外显子数据中系统地筛查ADTKD -,促进27dupC变异的识别。
本文包含一个播客,链接为https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/JASN/2024_11_15_KTS_November2024.mp3