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Genomic Testing in Patients with Kidney Failure of an Unknown Cause: A National Australian Study
Clinical Journal of the American Society of Nephrology ( IF 8.5 ) Pub Date : 2024-05-03 , DOI: 10.2215/cjn.0000000000000464
Amali C Mallawaarachchi 1, 2, 3 , Lindsay Fowles 4 , Louise Wardrop 5 , Alasdair Wood 5 , Rosie O'Shea 3 , Erik Biros 3, 6, 7 , Trudie Harris 3, 7 , Stephen I Alexander 8, 9, 10 , Simon Bodek 11 , Neil Boudville 12 , Jo Burke 13, 14 , Leslie Burnett 2, 15, 16 , Sarah Casauria 17 , Steve Chadban 18 , Aron Chakera 19, 20 , Sam Crafter 21 , Pei Dai 22, 23 , Paul De Fazio 24 , Randall Faull 25, 26 , Andrew Honda 27 , Vanessa Huntley 28 , Sadia Jahan 29 , Kushani Jayasinghe 30, 31, 32 , Matthew Jose 33 , Anna Leaver 11 , Mandi MacShane 34, 35 , Evanthia Olympia Madelli 17 , Kathy Nicholls 36, 37 , Rhonda Pawlowski 38 , Gopi Rangan 39, 40 , Paul Snelling 18 , Jacqueline Soraru 41, 42 , Madhivanan Sundaram 43 , Michel Tchan 44, 45 , Giulia Valente 11 , Mathew Wallis 13, 14, 46 , Laura Wedd 47 , Matthew Welland 47, 48 , John Whitlam 49 , Ella J Wilkins 24 , Hugh McCarthy 8, 10, 50 , Cas Simons 47, 48, 51 , Catherine Quinlan 51, 52, 53 , Chirag Patel 4 , Zornitza Stark 17, 24, 53 , Andrew J Mallett 3, 7, 17, 54
Affiliation  

age 5 chronic kidney disease (CKD). For those who first present to nephrology care with kidney failure, standard investigations of serology, imaging, urinalysis, and kidney biopsy are limited differentiators of etiology. We aimed to determine the diagnostic utility of whole genome sequencing (WGS) with analysis of a broad kidney gene panel in patients with kidney failure of unknown cause. Methods We prospectively recruited 100 participants who reached CKD stage 5 at the age of ≤50 years and had an unknown cause of kidney failure after standard investigation. Clinically accredited WGS was performed in this national cohort after genetic counseling. The primary analysis was targeted to 388 kidney-related genes with second-tier, genome-wide, and mitochondrial analysis. Results The cohort was 61% male and the average age of participants at stage 5 CKD was 32 years (9 months to 50 years). A genetic diagnosis was made in 25% of participants. Disease-causing variants were identified across autosomal dominant tubulointerstitial kidney disease (6), glomerular disorders (4), ciliopathies (3), tubular disorders (2), Alport syndrome (4), and mitochondrial disease (1). Most diagnoses (80%) were in autosomal dominant, X-linked, or mitochondrial conditions (UMOD; COL4A5; INF2; CLCN5; TRPC6; COL4A4; EYA1; HNF1B; WT1; NBEA; m.3243A>G). Participants with a family history of CKD were more likely to have a positive result (odds ratio, 3.29; 95% confidence interval, 1.10 to 11.29). Thirteen percent of participants without a CKD family history had a positive result. In those who first presented in stage 5 CKD, WGS with broad analysis of a curated kidney disease gene panel was diagnostically more informative than kidney biopsy, with biopsy being inconclusive in 24 of the 25 participants. Conclusions In this prospectively ascertained Australian cohort, we identified a genetic diagnosis in 25% of patients with kidney failure of unknown cause....

中文翻译:


不明原因肾衰竭患者的基因组检测:澳大利亚国家研究



5 岁慢性肾病 (CKD)。对于那些首次因肾衰竭而接受肾脏病治疗的患者来说,血清学、影像学、尿液分析和肾活检的标准检查是鉴别病因的有限手段。我们的目的是通过分析广泛的肾脏基因组来确定全基因组测序 (WGS) 对不明原因肾衰竭患者的诊断效用。方法 我们前瞻性地招募了 100 名年龄≤50 岁达到 CKD 5 期且经标准调查后肾衰竭原因不明的参与者。在遗传咨询后,在这个国家队列中进行了临床认可的全基因组测序。主要分析针对 388 个肾脏相关基因,并进行二级全基因组分析和线粒体分析。结果 该队列中 61% 为男性,5 期 CKD 参与者的平均年龄为 32 岁(9 个月至 50 岁)。 25% 的参与者进行了基因诊断。在常染色体显性肾小管间质性肾病 (6)、肾小球疾病 (4)、纤毛病 (3)、肾小管疾病 (2)、阿尔波特综合征 (4) 和线粒体疾病 (1) 中发现了致病变异。大多数诊断 (80%) 属于常染色体显性遗传、X 连锁或线粒体疾病 (UMOD; COL4A5; INF2; CLCN5; TRPC6; COL4A4; EYA1; HNF1B; WT1; NBEA; m.3243A>G)。有 CKD 家族史的参与者更有可能获得阳性结果(比值比,3.29;95% 置信区间,1.10 至 11.29)。没有 CKD 家族史的参与者中有 13% 的结果呈阳性。在首次出现 CKD 5 期的患者中,对精心策划的肾脏疾病基因组进行广泛分析的全基因组测序 (WGS) 在诊断上比肾活检提供更多信息,25 名参与者中有 24 名的活检结果尚无定论。 结论 在这个前瞻性确定的澳大利亚队列中,我们在 25% 的不明原因肾衰竭患者中发现了基因诊断......
更新日期:2024-05-03
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