Detecting MUC1 Variants in Patients Clinicopathologically Diagnosed With Having Autosomal Dominant Tubulointerstitial Kidney Disease

Phenotype and genotype of autosomal dominant tubulointerstitial kidney disease in a Japanese cohort

BACKGROUND

Autosomal dominant tubulointerstitial kidney disease (ADTKD) is characterized by tubular atrophy, interstitial fibrosis, and progressive kidney dysfunction. Its causative genes include UMOD, MUC1, REN, HNF1B, and SEC61A1. ADTKD contributes to unexplained chronic kidney disease (CKD), and many cases remain genetically undiagnosed. This study aimed to elucidate the clinical features of patients genetically diagnosed with ADTKD in Japan.

METHODS

We included individuals with suspected congenital anomalies of the kidney and urinary tract, nephronophthisis, polycystic kidney disease, or ADTKD. Genetic analyses using direct sequencing, short-read next-generation sequencing (SRS), and/or long-read next-generation sequencing (LRS) were performed on 1097 families. Patients with ADTKD-HNF1B were excluded due to prior reporting.

RESULTS

Variants in UMOD, MUC1, REN, and SEC61A1 were identified in 52 patients from 40 families (18, 16, 5, and 1 family, respectively). The median age at diagnosis was 38.5 years, and the urinary protein-to-creatinine ratio was 0.05 g/gCr. End-stage kidney disease was present at diagnosis in 37% of patients. Genetic testing was performed in 58% due to suspected ADTKD based on pathology or clinical course and in 38% due to unexplained CKD. Kidney biopsies were performed in 55%, with ADTKD confirmed pathologically in 41%. SRS and LRS were used in 55% and 30% of all families, respectively; for ADTKD-MUC1, 75% of families were analyzed using LRS.

CONCLUSIONS

Clinical and pathological diagnosis of ADTKD remains challenging, emphasizing the importance of comprehensive genetic testing. Enhanced access to advanced genetic testing such as LRS is essential to improve diagnostic precision and management.

Phenotypic Heterogeneity of ADTKD-MUC1 Diagnosed Using VNtyper, a Novel Genetic Technique

RATIONALE & OBJECTIVE

Molecular diagnosis of autosomal dominant tubulointerstitial kidney disease (ADTKD) due to variants in the MUC1 gene has long been challenging because variants lie in a large variable number of tandem repeat (VNTR) region, making identification impossible using standard short-read techniques. Previously, we addressed this diagnostic limitation by developing a computational pipeline named VNtyper for easier reliable detection of MUC1 VNTR pathogenic variants from short-read sequences. This led to unexpected diagnoses of ADTKD-MUC1 among patients with kidney disease referred for genetic testing, which we report here.

STUDY DESIGN

Cross-sectional observational study.

SETTING & PARTICIPANTS

4,040 patients referred to Necker Enfants-Malades Hospital from 2017 to 2023 for genetic testing for (1) glomerular disease, (2) ciliopathy, (3) congenital anomalies of the kidneys and urinary tracts (CAKUT), (4) ADTKD, or (5) chronic kidney disease (CKD) of unknown origin, in whom MUC1 had not been previously tested by SNaPshot minisequencing.

EXPOSURE

Clinical suspicion of ADTKD.

OUTCOME

ADTKD-MUC1 diagnosed using VNtyper.

ANALYTICAL APPROACH

Data were collected from patients in whom ADTKD-MUC1 was newly diagnosed and patients in whom ADTKD was clinically suspected were compared with those in whom ADTKD was not.

RESULTS

We identified 40 patients with MUC1 variants by VNtyper, including 33 new index patients and 7 relatives. Of the 33 index cases, 20 had been suspected of having ADTKD based on clinical features, and in the other 13 ADTKD had not been considered. In patients in whom ADTKD had not been considered clinically, the detection rate was 0.05% (1 of 1,895) among patients with glomerular disease, 1.2% (4 of 329) among patients with ciliopathy, 0.09% (1 of 1,099) among patients with CAKUT and 2.5% (7 of 285) among patients with CKD of unknown origin. In 6 patients there was no family history of kidney disease, and we confirmed de novo presentation in 2 patients by segregation studies.

LIMITATIONS

Observational study and selected referral population (may not represent the prevalence or phenotypes in the general kidney disease population).

CONCLUSIONS

With VNtyper, we were able to diagnose new cases of ADTKD-MUC1 in a large cohort of patients with various phenotypes. Some patients had atypical phenotypes due to a variant in another gene, and some had no family history of kidney disease, suggesting de novo disease, which was confirmed in 2 patients.

PLAIN-LANGUAGE SUMMARY

Molecular diagnosis of autosomal dominant tubulointerstitial kidney disease due to variants in the MUC1 gene (ADTKD-MUC1) has long been challenging. Recently, we developed a computational pipeline named VNtyper to allow easier, reliable detection of MUC1 variants. When applied to a large heterogenous cohort of patients, it allowed us to diagnose ADTKD in patients in whom it had not been suspected. In some cases, this was due to 2 concomitant genetic diagnoses, which affected the phenotype. In others, there was no family history of kidney disease suggestive of an autosomal dominant disorder, and we were able to confirm de novo ADTKD-MUC1 in 2 patients.

Clinical use of the VNtyper-Kestrel pipeline for MUC1 variant detection in autosomal-dominant tubulointerstitial kidney disease

BACKGROUND

Autosomal-dominant tubulointerstitial kidney disease caused by MUC1 (ADTKD-MUC1) is a rare disorder characterized by progressive kidney dysfunction. Pathogenic variants in MUC1 are difficult to detect owing to the variable number tandem repeat region. To address this issue, VNtyper-Kestrel, a bioinformatics pipeline for short-read sequencing data, was recently developed. In this study, the performance of VNtyper-Kestrel for detecting MUC1 variants in clinical settings was evaluated.

METHODS

We used VNtyper-Kestrel to retrospectively analyze short-read sequencing data for 209 individuals with suspected ADTKD who were previously evaluated through long-read sequencing. Data from a panel including ~ 180 genes and an ADTKD-specific panel were used. In addition, the pipeline was applied to 976 patients with suspected hereditary kidney diseases other than ADTKD and positive cases were validated using long-read sequencing. Accuracy was assessed by comparisons with the results of long-read sequencing.

RESULTS

Using VNtyper-Kestrel, we identified MUC1 variants in 16 of 19 confirmed cases of ADTKD-MUC1. Three initially negative cases were reanalyzed using the ADTKD-specific panel, yielding positive detection results with high confidence. We obtained two low-confidence positive results from 190 cases of suspected ADTKD and 10 low-confidence positive results among 976 non-ADTKD cases; however, all were classified as false positives upon long-read sequencing validation.

CONCLUSIONS

VNtyper-Kestrel demonstrated high sensitivity in identifying MUC1 variants when sequencing coverage was adequate, supporting its potential as a rapid and cost-effective screening tool. However, confirmatory long-read sequencing is needed in uncertain cases. Optimizing coverage and refining patient selection criteria could improve the clinical utility of this approach.

Navigating Genetic Testing in Nephrology: Options and Decision-Making Strategies

Technological advances such as next-generation sequencing (NGS) have enabled high-throughput assessment of the human genome, supporting the usage of genetic testing as a first-line tool across clinical medicine. Although individually rare, genetic causes account for end-stage renal disease in 10% to 15% of adults and 70% of children, and in many of these individuals, genetic testing can identify a specific etiology and meaningfully impact management. However, with numerous options for genetic testing available, nephrologists may feel uncomfortable integrating genetics into their clinical practice. Here, we aim to demystify the process of genetic test selection and highlight the opportunities for interdisciplinary collaboration between nephrologists and genetics professionals, thereby supporting precision medicine for patients with kidney disease. We first detail the various clinical genetic testing modalities, highlighting their technical advantages and limitations, and then discuss indications for their usage. Next, we provide a generalized workflow for genetic test selection among individuals with kidney disease and illustrate how this workflow can be applied to genetic test selection across diverse clinical contexts. We then discuss key areas related to the usage of genetic testing in clinical nephrology that merit further research and approaches to investigate them.

Systematic Screening of Autosomal Dominant Tubulointerstitial Kidney Disease- MUC1 27dupC Pathogenic Variant through Exome Sequencing

Key Points

MUC1 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 MUC1 architecture, which contains a variable number of tandem repeats. Using dedicated bioinformatics tools, we systematically detected the presence of 27dupC most common MUC1 pathogenic variant from exome sequencing data.

Background

The MUC1 gene is associated with autosomal dominant tubulointerstitial kidney disease (ADTKD), leading to CKD. Current methods of sequencing, such as exome sequencing, rarely detect MUC1 pathogenic variants because of the variable number of tandem repeats (VNTR) in MUC1 exon2. We demonstrated that combining fast read filtering with a sensitive VNTR genotyping strategy enables systematic screening of 27dupC pathogenic MUC1 variant from exome data.

Methods

We initially validated our bioinformatics pipeline in a proof-of-concept cohort incorporating exome data from 33 participants with a known MUC1 pathogenic variant identified by Snapshot PCR and confirmed by 54 MUC1 -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.

Results

SharkVNTyper accurately identified MUC1 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 MUC1 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-MUC1 , 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.

Conclusions

SharkVNTyper enabled the analysis of highly repeated regions, such as the MUC1 VNTR, and facilitated the systematic screening of ADTKD-MUC1 from exome data, fostering 27dupC variation identification.

Podcast

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

Decoding complexity: The role of long-read sequencing in unraveling genetic disease etiologies

In recent years, next-generation high-throughput sequencing technology has been widely used in clinical practice for the identification and diagnosis of Mendelian diseases as an auxiliary detection method. Nevertheless, due to the limitations in read length and poor coverage of complex genomic regions, the etiology of many genetic diseases is unclear. Long-read sequencing (LRS) addresses these limitations of next-generation sequencing. LRS is an effective tool for the clinical study of the etiology of complex genetic diseases. In this review, we summarized the current research on the application of LRS in diseases across various systems. We also reported the improvements in the diagnostic rate and common variant types of LRS in different studies, providing a foundation for the discovery of new disease mechanisms, which is anticipated to play a crucial role in future research on genetic diseases.

MUC1-associated autosomal dominant tubulointerstitial kidney disease: prevalence in kidney failure of undetermined aetiology and clinical insights from Danish families

Background

Frameshift variants in the variable number tandem repeat region of mucin-1 (MUC1) cause autosomal dominant tubulointerstitial kidney disease (ADTKD-MUC1) but are challenging to detect. We investigated the prevalence in patients with kidney failure of undetermined aetiology and compared Danish families with ADTKD-MUC1.

Methods

We recruited patients with suspected kidney failure of undetermined aetiology at ≤50 years and excluded those with a clear-cut clinical or histopathological kidney diagnoses or established genetic kidney diseases identified thorough medical record review. MUC1 genotyping was performed by SNaPshot analysis, detecting the most common pathogenic cytosine duplication, followed by bioinformatics pipeline VNtyper analysis of short-read sequencing data.

Results

Of 172 recruited patients, 123 underwent SNaPshot analyses, which were abnormal in 5/123 patients (4%). Next, VNtyper genotyping was performed in all patients, including the five with abnormal SNaPshot analysis. VNtyper re-identified the common cytosine duplication in all five patients and revealed novel frameshift variants in two additional patients, while the analyses were normal in the remaining 116 patients. All patients carrying frameshift variants in MUC1 fulfilled ADTKD criteria and had a family history of kidney failure. A considerable inter- and intrafamilial variability of chronic kidney disease stage relative to age was observed in families with ADTKD-MUC1.

Conclusions

ADTKD-MUC1 was identified in 7/123 patients (6%) in a selected cohort of kidney failure of undetermined aetiology ≤50 years, and VNtyper effectively identified all pathogenic MUC1 variants.

Genetic Characterization of Kidney Failure of Unknown Etiology in Spain: Findings From the GENSEN Study

RATIONALE & OBJECTIVE

Chronic kidney disease of unknown etiology (CKDUE) is one of the main global causes of kidney failure. Genetic studies may identify an etiology in these patients, but few studies have implemented genetic testing of CKDUE in a population-based series of patients, which was the focus of the GENSEN Study.

STUDY DESIGN

Case series.

SETTINGS & PARTICIPANTS

818 patients aged≤45 years at 51 Spanish centers with CKDUE, and either an estimated glomerular filtration rate of<15mL/min/1.73m2 or treatment with maintenance dialysis or transplantation.

OBSERVATIONS

Genetic testing for 529 genes associated with inherited nephropathies using high-throughput sequencing (HTS). Pathogenic and/or likely pathogenic (P/LP) gene variants concordant with the inheritance pattern were detected in 203 patients (24.8%). Variants in type IV collagen genes were the most frequent (COL4A5, COL4A4, COL4A3; 35% of total gene variants), followed by NPHP1, PAX2, UMOD, MUC1, and INF2 (7.3%, 5.9%, 2.5%, 2.5%, and 2.5%, respectively). Overall, 87 novel variants classified as P/LP were identified. The top 5 most common previously undiagnosed diseases were Alport syndrome spectrum (35% of total positive reports), genetic podocytopathies (19%), nephronophthisis (11%), autosomal dominant tubulointerstitial kidney disease (7%), and congenital anomalies of the kidney and urinary tract (CAKUT, 5%). A family history of kidney disease was reported by 191 participants (23.3%) and by 65 of 203 patients (32.0%) with P/LP variants.

LIMITATIONS

Missing data, and selection bias resulting from voluntary enrollment.

CONCLUSIONS

Genomic testing with HTS identified a genetic cause of kidney disease in approximately one quarter of young patients with CKDUE and advanced kidney disease. These findings suggest that genetic studies are a potentially useful tool for the evaluation of people with CKDUE.

PLAIN-LANGUAGE SUMMARY

The cause of kidney disease is unknown for 1 in 5 patients requiring kidney replacement therapy, reflecting possible prior missed treatment opportunities. We assessed the diagnostic utility of genetic testing in children and adults aged≤45 years with either an estimated glomerular filtration rate of<15mL/min/1.73m2 or treatment with maintenance dialysis or transplantation. Genetic testing identified the cause of kidney disease in approximately 1 in 4 patients without a previously known cause of kidney disease, suggesting that genetic studies are a potentially useful tool for the evaluation of these patients.

Gain- and loss-of-function alleles within signaling pathways lead to phenotypic diversity among individuals

Understanding how phenotypic diversity is generated is an important question in biology. We explored phenotypic diversity among wild yeast isolates (Saccharomyces cerevisiae) and found variation in the activity of MAPK signaling pathways as a contributing mechanism. To uncover the genetic basis of this mechanism, we identified 1957 SNPs in 62 candidate genes encoding signaling proteins from a MAPK signaling module within a large collection of yeast (>1500 individuals). Follow-up testing identified functionally relevant variants in key signaling proteins. Loss-of-function (LOF) alleles in a PAK kinase impacted protein stability and pathway specificity decreasing filamentous growth and mating phenotypes. In contrast, gain-of-function (GOF) alleles in G-proteins that were hyperactivating induced filamentous growth. Similar amino acid substitutions in G-proteins were identified in metazoans that in some cases were fixed in multicellular lineages including humans, suggesting hyperactivating GOF alleles may play roles in generating phenotypic diversity across eukaryotes. A mucin signaler that regulates MAPK activity was also found to contain a prevalance of presumed GOF alleles amoung individuals based on changes in mucin repeat numbers. Thus, genetic variation in signaling pathways may act as a reservoir for generating phenotypic diversity across eukaryotes.

The Role of Genetic Testing in Adult CKD

Mounting evidence indicates that monogenic disorders are the underlying cause in a significant proportion of patients with CKD. In recent years, the diagnostic yield of genetic testing in these patients has increased significantly as a result of revolutionary developments in genetic sequencing techniques and sequencing data analysis. Identification of disease-causing genetic variant(s) in patients with CKD may facilitate prognostication and personalized management, including nephroprotection and decisions around kidney transplantation, and is crucial for genetic counseling and reproductive family planning. A genetic diagnosis in a patient with CKD allows for screening of at-risk family members, which is also important for determining their eligibility as kidney transplant donors. Despite evidence for clinical utility, increased availability, and data supporting the cost-effectiveness of genetic testing in CKD, especially when applied early in the diagnostic process, many nephrologists do not use genetic testing to its full potential because of multiple perceived barriers. Our aim in this article was to empower nephrologists to (further) implement genetic testing as a diagnostic means in their clinical practice, on the basis of the most recent insights and exemplified by patient vignettes. We stress why genetic testing is of significant clinical benefit to many patients with CKD, provide recommendations for which patients to test and which test(s) to order, give guidance about interpretation of genetic testing results, and highlight the necessity for and essential components of pretest and post-test genetic counseling.

Description of a New Simple and Cost-Effective Molecular Testing That Could Simplify MUC1 Variant Detection

Introduction

Patients with autosomal dominant tubulointerstitial kidney disease (ADTKD) usually present with nonspecific progressive chronic kidney disease (CKD) with mild to negative proteinuria and a family history. ADTKD-MUC1 leads to the formation of a frameshift protein that accumulates in the cytoplasm, leading to tubulointerstitial damage. ADTKD-MUC1 prevalence remains unclear because MUC1 variants are not routinely detected by standard next-generation sequencing (NGS) techniques.

Methods

We developed a bioinformatic counting script that can detect specific genetic sequences and count the number of occurrences. We used DNA samples from 27 patients for validation, 11 of them were patients from the Lille University Hospital in France and 16 were from the Wake Forest Hospital, NC. All patients from Lille were tested with an NGS gene panel with our script and all patients from Wake Forest Hospital were tested with the snapshot reference technique. Between January 2018 and February 2023, we collected data on all patients diagnosed with MUC1 variants with this script.

Results

A total of 27 samples were tested anonymously by the BROAD Institute reference technique for confirmation and we were able to get a 100% concordance for MUC1 diagnosis. Clinico-biologic characteristics in our cohort were similar to those previously described in ADTKD-MUC1.

Conclusion

We describe a new simple and cost-effective method for molecular testing of ADTKD-MUC1. Genetic analyses in our cohort suggest that MUC1 might be the first cause of ADTKD. Increasing the availability of MUC1 diagnosis tools will contribute to a better understanding of the disease and to the development of specific treatments.

Long read sequencing on its way to the routine diagnostics of genetic diseases

The clinical application of technological progress in the identification of DNA alterations has always led to improvements of diagnostic yields in genetic medicine. At chromosome side, from cytogenetic techniques evaluating number and gross structural defects to genomic microarrays detecting cryptic copy number variants, and at molecular level, from Sanger method studying the nucleotide sequence of single genes to the high-throughput next-generation sequencing (NGS) technologies, resolution and sensitivity progressively increased expanding considerably the range of detectable DNA anomalies and alongside of Mendelian disorders with known genetic causes. However, particular genomic regions (i.e., repetitive and GC-rich sequences) are inefficiently analyzed by standard genetic tests, still relying on laborious, time-consuming and low-sensitive approaches (i.e., southern-blot for repeat expansion or long-PCR for genes with highly homologous pseudogenes), accounting for at least part of the patients with undiagnosed genetic disorders. Third generation sequencing, generating long reads with improved mappability, is more suitable for the detection of structural alterations and defects in hardly accessible genomic regions. Although recently implemented and not yet clinically available, long read sequencing (LRS) technologies have already shown their potential in genetic medicine research that might greatly impact on diagnostic yield and reporting times, through their translation to clinical settings. The main investigated LRS application concerns the identification of structural variants and repeat expansions, probably because techniques for their detection have not evolved as rapidly as those dedicated to single nucleotide variants (SNV) identification: gold standard analyses are karyotyping and microarrays for balanced and unbalanced chromosome rearrangements, respectively, and southern blot and repeat-primed PCR for the amplification and sizing of expanded alleles, impaired by limited resolution and sensitivity that have not been significantly improved by the advent of NGS. Nevertheless, more recently, with the increased accuracy provided by the latest product releases, LRS has been tested also for SNV detection, especially in genes with highly homologous pseudogenes and for haplotype reconstruction to assess the parental origin of alleles with de novo pathogenic variants. We provide a review of relevant recent scientific papers exploring LRS potential in the diagnosis of genetic diseases and its potential future applications in routine genetic testing.

Exploring the impact and utility of genomic sequencing in established CKD

Clinical genetics is increasingly recognized as an important area within nephrology care. Clinicians require awareness of genetic kidney disease to recognize clinical phenotypes, consider use of genomics to aid diagnosis, and inform treatment decisions. Understanding the broad spectrum of clinical phenotypes and principles of genomic sequencing is becoming increasingly required in clinical nephrology, with nephrologists requiring education and support to achieve meaningful patient outcomes. Establishment of effective clinical resources, multi-disciplinary teams and education is important to increase application of genomics in clinical care, for the benefit of patients and their families. Novel applications of genomics in chronic kidney disease include pharmacogenomics and clinical translation of polygenic risk scores. This review explores established and emerging impacts and utility of genomics in kidney disease.

Genetic testing in the evaluation of recipient candidates and living kidney donors

PURPOSE OF REVIEW

The aim of this study is to provide an overview of the role of genetic testing in the evaluation of kidney transplant candidates and living donors who may be at risk for heritable kidney disease. We focus our discussion on monogenic diseases, excluding renal diseases that have complex polygenic influences. Adoption of new technologies such as next-generation sequencing (NGS) with comprehensive gene panels has greatly enabled access to genetic testing recently; yet transplant professionals rarely receive adequate training in clinical genetics. In addition to a broad discussion of genetic testing, we hope to illustrate the thought processes and resources used in clinical genetic evaluation of recipient candidates and donors.

RECENT FINDINGS

Targeted renal genetic panels, whole exome and genome sequencing have greatly expanded our ability to test for pathogenic variants. Testing methods, analytic tools and the subsequent interpretation by the testing laboratory and treating physician impacts patient management and clinicians may lack the resources to practice in this new era of genomic medicine.

SUMMARY

The expansion of genomics into transplant medicine can provide improved diagnosis in transplant candidates and potentially disease prediction in living donors. Transplant professionals need to be familiar with emerging trends, promises and limitations of NGS-based testing.

VNtyper enables accurate alignment-free genotyping of MUC1 coding VNTR using short-read sequencing data in autosomal dominant tubulointerstitial kidney disease

The human genome comprises approximately 3% of tandem repeats with variable length (VNTR), a few of which have been linked to human rare diseases. Autosomal dominant tubulointerstitial kidney disease-MUC1 (ADTKD-MUC1) is caused by specific frameshift variants in the coding VNTR of the MUC1 gene. Calling variants from VNTR using short-read sequencing (SRS) is challenging due to poor read mappability. We developed a computational pipeline, VNtyper, for reliable detection of MUC1 VNTR pathogenic variants and demonstrated its clinical utility in two distinct cohorts: (1) a historical cohort including 108 families with ADTKD and (2) a replication naive cohort comprising 2,910 patients previously tested on a panel of genes involved in monogenic renal diseases. In the historical cohort all cases known to carry pathogenic MUC1 variants were re-identified, and a new 25bp-frameshift insertion in an additional mislaid family was detected. In the replication cohort, we discovered and validated 30 new patients.

Genomics in the kidney clinic

Inherited diseases are a frequent cause of end-stage kidney disease and often seen in the kidney clinic. Clinical genomic testing is increasingly available in the UK and eligible patients in England can be referred through the NHS Genomic Medicine Service. Testing is useful for diagnosis, prognostication and management of conditions such as autosomal dominant polycystic kidney disease (ADPKD), Alport syndrome, autosomal dominant tubulointerstitial kidney disease (ADTKD) and focal segmental glomerulosclerosis (FSGS). As more patients undergo genomic testing and newer technologies such as whole genome sequencing are applied, we are developing a greater appreciation of the full phenotypic spectrum of inherited kidney diseases and the challenges associated with the interpretation of clinically significant variants.