Genetic basis of human congenital anomalies of the kidney and urinary tract

The clinical spectrum of congenital anomalies of the kidney and urinary tract (CAKUT) encompasses a common birth defect in humans that has significant impact on long-term patient survival. Overall, data indicate that approximately 20% of patients may have a genetic disorder that is usually not detected based on standard clinical evaluation, implicating many different mutational mechanisms and pathogenic pathways. In particular, 10% to 15% of CAKUT patients harbor an unsuspected genomic disorder that increases risk of neurocognitive impairment and whose early recognition can impact clinical care. The emergence of high-throughput genomic technologies is expected to provide insight into the common and rare genetic determinants of diseases and offer opportunities for early diagnosis with genetic testing.

CAKUT is identified in more than 1% of overall live births, accounting for up to 23% of overall birth defects (21–24) and 40% to 50% of pediatric end-stage renal disease (ESRD) worldwide (25). Studies have shown that different structural defects have distinct impacts on long-term renal survival and overall mortality, with RHD conferring the greatest risk of adverse events (26–30). A number of extrinsic factors including maternal diabetes, medications, and folate and iron deficiency also increase the risk of CAKUT, highlighting environmental factors that modify expression of disease (31, 32). When ESRD is present at birth, mortality rates reach a striking 93% within the first year of life (33), and children who survive infancy have a 30-fold higher mortality compared with same-age children without ESRD (34). These population data underline the enormous impact of CAKUT on child health. Substantial improvement in early clinical care, such as prenatal detection of CAKUT by fetal ultrasonography and development of surgical and pharmacological approaches, has dramatically improved survival for infants and children with renal failure (35, 36). This, in turn, is resulting in an increased number of adult patients with CAKUT. Thus, the reported 2% to 7% prevalence of CAKUT among adults with ESRD may underestimate the growing impact of these traits among adult populations (25, 26).

Because the absence of kidney function is incompatible with postnatal survival without dialysis or transplantation, standard genetic theory predicts that dominantly acting mutations that completely impair kidney development would be strongly subjected to purifying selection and would therefore not reach a high frequency in the general population (37, 38). One can therefore hypothesize that the most severe malformations occurring in offspring of apparently healthy parents are attributable to de novo, dominantly acting mutations in developmentally important genes, or recessive mutations in genes that tolerate haploinsufficiency but not biallelic inactivation. In familial forms of CAKUT, which represent about 10% to 20% of cases, the disease frequently segregates as an autosomal dominant trait with incomplete penetrance (39, 40). In this setting, one can posit incomplete penetrance due to genetic or environmental modifiers, dominant inheritance of hypomorphic mutations impairing but not abrogating nephrogenesis, or disruption of genes/pathways that do not impair the initial steps of nephrogenesis but are important for urinary tract development and function at later stages of life. Other structural disorders such as VUR or DCS are more prevalent (41–44), presumably because they do not greatly impact overall survival; they may remain completely asymptomatic (DCS) or entirely resolve with age (VUR). Such prevalent disorders may also have polygenic determination, produced by the additive burden of common variants with modest effects that are thus less subject to purifying selection.

With the advent of chromosomal microarrays and next-generation sequencing, over 40 genomic disorders and 50 genes have been implicated in syndromic or nonsyndromic forms of CAKUT (Supplemental Table 1; supplemental material available online with this article; https://doi.org/10.1172/JCI95300DS1). Many implicated genes belong to known developmental pathways, while the mechanism of disease for others has yet to be elucidated. Taken together, these studies implicate virtually every known mutational mechanism in disease pathogenesis and highlight genetic heterogeneity as a prominent biological feature of CAKUT. There is also remarkable diversity in the molecular pathways that have been recently discovered, suggesting that continued genetic analysis of CAKUT patients will uncover novel fundamental pathways in urinary tract development. Below, we will summarize recent examples of genetic discoveries enabled by the advent of newer genomic technologies.

Genomic disorders in sporadic forms of CAKUT. Prior studies demonstrated the association of CAKUT with large cytogenetic defects (45–47). Copy number variations (CNVs), generally defined as any gain or loss of germline DNA ranging from 1 kb to several Mb in size, account for the largest amount of sequence variation in the human genome (48–51). CNVs below 1 to 2 Mb are usually not detectable by conventional cytogenetic techniques but are readily detected by chromosomal microarray, which is now the preferred technique for detection of genomic imbalances for human malformations (52–55). CNVs can be generated via nonallelic homologous recombination, driven by highly repetitive elements flanking the CNVs (such as segmental duplications or low-copy repeats), resulting in recurrent breakpoints in affected individuals. Nonrecurrent CNVs have variable breakpoints in different individuals and are driven by other mechanisms such as nonhomologous end joining or fork stalling and template switching (56–58). Studies using chromosomal microarrays have now delineated over 200 recurrent pathogenic gene-disrupting CNVs, usually encompassing more than one gene, which confer risk for diverse human disorders such as neurodevelopmental syndromes, cardiac defects, craniofacial malformations, and congenital diaphragmatic hernia (59–68). Detection of these CNVs provides a precise molecular diagnosis that can stratify patients, explaining clinical variability between patients with the same clinical diagnosis but also demonstrating shared pathogenesis between some traditionally distinct clinical categories.

With the introduction of chromosomal microarrays, a number of studies have also uncovered an unexpectedly high contribution of genomic disorders to CAKUT (69–75). Remarkably, these studies did not reveal a discrete number of CAKUT-specific CNVs, but identified many known or novel genomic lesions, indicating significant genetic heterogeneity. These CNVs were diagnostic of many well-known human malformation syndromes that were unrecognized based on the clinical workup. For example, a study of 522 children with RHD (with or without syndromic features), recruited from multiple renal and urology clinics in Europe and the USA identified 34 different genomic disorders in 55 individuals (10.5% of cases) (69). The most frequently identified genomic disorder was Chr.17q12 deletion, diagnostic of the renal cyst and diabetes syndrome (RCAD) (76), followed by Chr.22q11.2 deletion, diagnostic of the DiGeorge/velocardiofacial syndrome (77), and Chr.1q21 deletion (78). The remaining known genetic syndromes were present in few or single individuals, highlighting the extreme genetic heterogeneity of disease. Another 6% of cases harbored rare gene-disrupting CNVs that were likely pathogenic based on gene content, size, and low frequency in controls. In a subsequent study, 13 of 80 (14%) children with a solitary functioning kidney harbored a known or likely pathogenic CNV (71). In another follow-up study of a large prospective observational cohort of children with all-cause CKD (79), 4% of patients harbored genomic imbalances (70), compared with less than 0.5% of 21,575 controls. Among different clinical categories, children with RHD were especially enriched for diagnostic CNVs (odds ratio [OR] 30.1; P = 4.9 × 10^–16 vs. controls), while other CAKUT subcategories, such as VUR and UPJO, had a lower overall prevalence (OR 4.5; P = 0.03 vs. controls).

Figure 1 summarizes findings from three large studies totaling 824 CAKUT patients (69–71). Overall, there is a striking 15-fold enrichment for rare genomic disorders as compared with controls, significantly driven by patients with RHD. The frequency of diagnostic CNVs is comparable between CAKUT and several other human developmental disorders, such as developmental delay, neurocognitive disorders, and congenital heart disease, for which microarray analysis is now routinely recommended as first-line diagnostics (59–67). All 38 identified known genomic disorders in CAKUT have been previously associated with developmental delay and/or cardiac malformations (Figure 2). Remarkably, four of these loci account for 44% of the CAKUT cases with a known genomic disorder (Chr.1q21.1, Chr.16p11.2, Chr.17q12, and Chr.22q11.2 deletions/duplications, accounting for 3.5% of total cases vs. 0.1% of total controls, OR 25.3; P = 6.5 × 10^–26; Table 1). Comparison of the frequencies of these CNV disorders in CAKUT, developmental delay, and tetralogy of Fallot (59, 80) indicates noteworthy similarities and differences (Figure 3 and Table 1). Deletions are the predominant type of diagnostic CNVs for CAKUT and developmental delay phenotypes, with the Chr.17q12 (RCAD) locus as the most frequently involved site. Patients with cardiac malformations are exquisitely enriched for CNVs at Chr.22q11.2 and carry mostly duplications at Chr.1q21, Chr.16p11.2, and Chr.17q12 loci (Figure 3, A–D). In CAKUT cases where inheritance could be tested, only half of the pathogenic CNVs occurred as de novo events, and the remainders were inherited from apparently healthy or mildly affected parents (69). The reasons for variable phenotypic expression of pathogenic CNVs are incompletely understood, but may in part be attributable to the genetic load imparted and background genetic effects, discussed below under missing heritability.

Figure 1

Proportion of patients with known genomic disorders in different human developmental phenotypes and healthy controls. There is a striking enrichment of known genomic disorders in human developmental disease compared with controls (59–62, 64–67, 69–71). The prevalence in controls is based on 21,498 controls generated from previously published studies (70, 71). *The proportion of known genomic disorders in autism spectrum disorder is displayed as the weighted average of two independent studies (64, 65). CAKUT, congenital anomalies of the kidney and urinary tract.

Figure 2

Overview of identified genomic disorders in isolated CAKUT presented on a human chromosomal map. The overlap of known CAKUT genomic disorder loci (kidney symbol) (69–71) with developmental delay (brain symbol) and congenital heart defects (heart symbol) are indicated based on a review of the literature. Red = deletion; green = duplication.

Figure 3

Differences and similarities in the prevalence of the four most commonly implicated CNV loci in CAKUT patients. Bar graphs compare the prevalence of common loci in CAKUT patients (n = 823) to the prevalence of identical loci in patients with developmental delay (n = 15,767), tetralogy of Fallot (n = 495), and in-house genotyping data of healthy controls (n = 21,498) (59, 69–71, 80). Genomic imbalances are enriched for all phenotypes compared with controls. Duplications are shown in green, deletions are shown in red. (A) Prevalence of duplications and deletions at chromosomal locus 1q21.1. (B) Prevalence of duplications and deletions at chromosomal locus 16p11.2. (C) Prevalence of duplications and deletions at chromosomal locus 17q12. As expected, CAKUT patients show a significant enrichment for the renal cysts and diabetes (RCAD) syndrome deletion. (D) Prevalence of duplications and deletions at chromosomal locus 22q11.2. Patients with tetralogy of Fallot are typically enriched for the 22q11.2 microdeletion syndrome.

Table 1

Common genomic disorders in CAKUT, developmental delay, and cardiac malformations

The next step in understanding the architecture of CAKUT is to identify the genetic drivers that account for the renal malformation phenotypes of these genomic disorders. Although proven challenging (81, 82), knowledge of these drivers increases our understanding of the biological pathways of kidney development and, consequently, can lead to development of precision medicine approaches in these patients.

We highlight the Chr.17q12 deletion (RCAD) syndrome, owing to its relatively high prevalence in CAKUT patients and its association with extrarenal complications (76). The syndrome is also known as maturity-onset diabetes of the young type 5 (MODY5) or hypoplastic glomerulocystic disease. Most of the manifestations of this syndrome are attributable to the disruption of HNF1B (83–86), encoding a transcription factor that orchestrates pancreatic, parathyroid, kidney, and urogenital development (87–89). The urinary tract phenotype is highly variable and can present as sparse prenatal renal cysts, small echogenic kidneys, MCDK, and even phenocopy polycystic kidney disease (PKD). Additional tubular manifestations such as hypomagnesemia, hyperuricemia, salt-wasting, and urinary concentrating defects are often present (90). Although most of the renal manifestations are detected in early childhood, this disorder may go unrecognized because diabetes occurs at a mean age of approximately 25 years (86, 91). Other manifestations include defects of the female internal genitalia and hypoparathyroidism; heart and ocular anomalies have occasionally been described (76, 92–95). The Chr.17q12 deletion is also associated with a nearly 14-fold increase in risk of developing autism or schizophrenia later in life (96). This complication may be attributable to disruption of other genes within the interval because neurocognition appears to be preserved in RCAD patients due to intragenic mutations in HNF1B (97). Individuals carrying the reciprocal duplication on Chr.17q12 typically present with various degrees of neurodevelopmental delay and behavioral problems, esophageal atresia, cardiac defects, and CAKUT (in particular RHD, cysts, and obstructive uropathy phenotypes) (76, 92).

For other genomic disorders, in-depth bioinformatics analysis can help prioritize genetic drivers for novel CNV phenotypes (71). Recently, we used a more extensive approach to dissect the Chr.22q11.2 locus, which manifests with renal phenotypes in about 20% to 30% of patients (77, 98). Although T-box 1 (TBX1) has been implicated in the pathogenesis of some hallmark clinical features of the syndrome (especially the conotruncal cardiac defects), the genetic drivers of the CAKUT phenotype were largely unknown. Using a multidisciplinary approach based on large-scale CNV analysis, whole-exome sequencing (WES), and targeted next-generation sequencing, followed by functional modeling in zebrafish and mouse, we prioritized three genes as likely involved in the pathogenesis of kidney defects in patients with DiGeorge syndrome caused by Chr.22q11.2 microdeletions. These genes, snap29, aifm3, and crkl, recapitulated the renal phenotype in zebrafish. Knockdown or CRISPR/Cas9–mediated inactivation of crkl was sufficient to induce pronephric convolution defects. However, snap29 and aifm3 appeared to operate in an epistatic fashion, suggesting that deletions at Chr.22q11.2 result in complex genetic determination of CAKUT. We subsequently found protein-altering mutations in CRKL in about 1% of CAKUT patients from a large replication cohort. Finally, targeted deletion of Crkl exon 2 in mice led to various CAKUT phenotypes (99), a finding that was recently reproduced by other investigators (100). Overall, these data intimate a model where CRKL haploinsufficiency is the main determinant of CAKUT in patients with the Chr.22q11.2 microdeletions (99). The incomplete penetrance and variable phenotypic expression of both microdeletions and CRKL point mutations in humans and Crkl inactivation in mouse suggest a complex model with both local (e.g., SNAP29, AIFM3) and distantly acting genetic effects, with involvement of environmental and stochastic factors.

Another recent example of genetic driver discovery is PBX1, encoding a transcription factor known to regulate ureteric branching in the murine urinary tract (101), which is responsible for the CAKUT phenotype in the 1q23.3-q24.1 deletion syndrome. Using a targeted sequencing approach of candidate genes for CAKUT, Heidet et al. identified de novo loss-of-function mutations (three point mutations and two heterozygous deletions validated by microarray) in PBX1 in five of 204 RHD cases (2.5%; combined P value for de novo occurrence < 0.001) (102). Extrarenal manifestations identified in PBX1 mutation carriers were deafness, scoliosis, as well as developmental delay.

However, contrary to the above-mentioned scenarios in which dosage imbalances of a single driver may be sufficient to cause CAKUT, we have incomplete understanding of more complex scenarios involving many drivers that jointly influence the prevalence and severity of disease (81). These scenarios will be an important subject of future research to define further the genetic architecture of CAKUT.

Autosomal dominant single-gene defects. Initial evidence for an important role of rare point mutations in the pathogenesis of CAKUT is mainly derived from analysis of recognizable syndromic disorders that are attributable to dominant mutations in PAX2, HNF1B, SALL1, WT1, SIX1, EYA1, and others (4, 20, 103–105). These diseases were recognized as specific syndromes based on cooccurrence of specific extrarenal manifestations, such as ocular coloboma, preauricular tags or fistulas, and anorectal malformations, but subsequent to identification of causal genes in syndromic patients, studies demonstrated that mutations in these same genes are also responsible for isolated (nonsyndromic) CAKUT (18). Mutations in HNF1B and PAX2 are relatively frequent (up to 15% of patients with RHD), although the overall fraction of disease that is attributable to these two genes generally does not exceed 10% of patients (18, 85, 90, 106–109). For example, in a recent study the prevalence of diagnostic mutations in PAX2 and HNF1B was much lower than expected (109). The observation that mutations in HNF1B are frequently identified in RHD, while they are rare in isolated lower urinary tract defects such as PUV, may have contributed to this finding (90, 106). The discovery of mutations in genes associated with specific syndromes impacts clinical care because it prompts physicians to reassess patients for undetected extrarenal phenotypes and institute surveillance programs for complications that may develop much later (e.g., diabetes in RCAD syndrome).

The advent of next-generation sequencing has accelerated the pace of gene discovery. We used WES combined with linkage analysis in a family with dominant inheritance and incomplete penetrance of CAKUT phenotypes, predominantly manifested by congenital obstructive uropathy, and identified a mutation in DSTYK, encoding an uncharacterized dual-specificity serine/threonine and tyrosine kinase (110). Resequencing of 311 additional CAKUT patients identified five new mutations in seven patients (2.3%), including a loss-of-function variant in the first exon of DSTYK. A number of mutation carriers also manifested neurologic phenotypes such as ataxia and epilepsy, suggesting that DSTYK mutation can affect neurologic development (110). It is thus interesting that a recent study reported homozygosity for a rare intragenic deletion that encompasses the last two exons and the 3′ UTR of DSTYK in three unrelated families of Middle-Eastern ancestry with autosomal recessive spastic paraparesis (111). The proband phenotype in one family also included a horseshoe kidney, suggesting that this particular DSTYK mutation can also affect kidney and urinary tract development.

Bekheirnia et al. recently reported WES results in 62 families with CAKUT (112). In addition to detecting pathogenic mutations in HNF1B, PAX2, and EYA1 in 5% of affected families, they discovered a deleterious de novo variant in FOXP1 in a case with RHD, hydrocephalus, and developmental delay. The authors subsequently interrogated their in-house database of individuals subjected to exome sequencing and additionally identified seven cases (out of over 5,000) with de novo mutations in FOXP1. These individuals were all characterized by brain anomalies, developmental delay, genital anomalies, and CAKUT. FOXP1 encodes a forkhead box transcription factor that was previously implicated in mental retardation with language impairment and autistic features, but renal complications had not been previously described (113). This study thus demonstrates the potential of large-scale WES studies for gene discovery and expanding the phenotypic manifestation of syndromic disease. Recent WES studies have also discovered many other genes as monogenic causes for CAKUT, such as TBX18 and NRIP1 (114, 115), respectively implicating defects in ureteric mesenchymal cell development and retinoic acid signaling in disease pathogenesis.

Finally, with the availability of large exome control data sets, exome-wide association studies are feasible. This approach, combined with functional in vivo modeling in zebrafish, recently led to the discovery of loss-of-function mutations in GREB1L as a new cause of autosomal dominant RHD (116). GREB1L (growth regulation by estrogen in breast cancer 1 like) encodes a protein with a poorly understood function, but its role in the pathogenesis CAKUT has recently been validated by others (117). These findings further highlight the diversity of signaling defects that can lead to CAKUT and associated phenotypes.

Autosomal recessive single-gene defects. Many recessive forms of CAKUT have been reported. Although rare, autosomal recessive forms of CAKUT usually involve loss of function, thereby providing immediate insight into pathogenic mechanism (118–120). For example, recessive mutations in genes encoding components of the renin-angiotensin system (RAS) were detected in individuals with a severe form of renal tubular dysgenesis associated with oligohydramnios and perinatal mortality secondary to lung hypoplasia (120). The kidney developmental anomalies precisely phenocopied the effect of angiotensin-converting enzyme inhibitors in fetuses exposed to these drugs, confirming the central role of the RAS in normal kidney development. More recently, targeted next-generation sequencing of 12 recessive murine candidate genes in 590 patients suggested that biallelic missense mutations in FRAS1, FREM1, FREM2, and GRIP1 may cause isolated CAKUT (121). Interestingly, recessive loss-of-function mutations in these genes cause Fraser syndrome, characterized by genital anomalies, cryptophthalmos, and CAKUT (122, 123). Based on their findings, the authors hypothesized that missense mutations are more likely to represent hypomorphic alleles with milder manifestation such as isolated CAKUT (119, 121). A study on a large cohort of CAKUT and VACTERL (vertebral anomalies, anal atresia, cardiac defects, tracheoesophageal fistula and/or esophageal atresia, renal/radial anomalies, and limb defects) syndrome identified homozygous or compound heterozygous mutations in TRAP1 in about 0.5% of patients (124). The exact role of TRAP1 in mammalian kidney and urinary tract development is currently unknown.

Missing heritability and gene discovery challenges in CAKUT. Known genetic disorders caused by rare CNVs or point mutations collectively explain at most 20% to 25% of CAKUT cases (particularly in RHD), leaving open the possibility that the remaining patients will be explained by rare monogenic disorders that each explain less than 1% of cases. Nonetheless, a simple single-gene model would not explain the incomplete penetrance and variable expression frequently encountered among individuals harboring the same mutation. It is clear that all mutations are inherited on individual genetic backgrounds that can modify phenotypic effects. For example, recent work on developmental delay and CAKUT shows that about 10% of patients with a known pathogenic structural variant also harbor a second large CNV (69, 125). Consistent with this higher mutational burden, the patients with second-site CNVs had more severe phenotypes and multiple-organ involvement. In a large follow-up study of genomic disorders in patients with developmental delay, some CNVs almost always occurred as de novo events, indicating that they are subjected to negative selection; these manifested with well-defined phenotypic features (e.g., the Smith–Magenis syndrome, caused by deletions at Chr.17p12) (125). On the other hand, some CNVs were more frequently inherited and more likely to be accompanied by a second-site CNV, indicating that they are more tolerated; these disorders had a more variable phenotypic expression, suggesting that their phenotypic expression is modified by background genetic effects (e.g., the Chr.16p11.2 deletion/duplication and the Chr.16p13.11 duplication) (59, 125, 126). Another example of oligogenic effects involves Bardet-Biedl syndrome (BBS, OMIM#209900), a genetically heterogeneous autosomal recessive trait characterized by renal cystic malformations, obesity, polydactyly, retinal degeneration, and other developmental defects (127). Biallelic mutations in 19 distinct genes can cause different BBS subtypes and the phenotypic variability (128, 129) is in part attributable to the presence of modifier alleles at other BBS loci (129–132). Another example relevant for CAKUT is the case of PKD, in which early-onset, severe phenotypes due to mutations in autosomal dominant PKD genes were attributable to additional mutations in other PKD genes or HNF1B (133).

In addition to oligogenic inheritance, GWAS have suggested a polygenic model as the basis of many complex developmental traits, such as cleft palate, bladder exstrophy, and congenital heart disease (134–136). Examples relevant to CAKUT include two GWAS for hypospadias, which revealed a major signal in DGKK and multiple additional loci conferring lower risk (137, 138). The top 18 SNPs fell into well-characterized developmental pathways (e.g., HOXA4, IRX5, IRX6, and EYA1) and remarkably explained up to 9% of the disease variance, indicating a significant additive contribution of common variants with modest individual effects to the genetic architecture of hypospadias. The polygenic contribution of common variants may be better appreciated with recent application of more complex inheritance models that incorporate multiple signals and estimates of local linkage disequilibrium, explaining a higher proportion of the disease heritability for many disorders (139–143). Complex inheritance models that incorporate the burden of common and rare variants in several neuropsychiatric disorders have indicated that the genetic burden of mutations defines a continuum of risk that can result in a clinical diagnosis at the extremes of the distribution (144–148). As recently proposed (149), one can therefore hypothesize that a polygenic model, in which multiple common causal loci contribute to the variation in the prevalence and severity of CAKUT phenotypes, can potentially explain why the same mutation may manifest very early in some individuals but remain clinically silent in others.

With the increasing feasibility and cost-effectiveness of genome-wide sequencing approaches, a major challenge in studies on isolated sporadic CAKUT is to distinguish disease-causing variants from the large number of variants present within each human genome (150). A typical individual’s genome consists of 4.1 to 5 million potential variant sites (151) with 40,000 to 200,000 variants at a frequency below 0.5% in the general population. In addition, 4% to 8% of healthy population controls contain a large rare CNV (>1 Mb), presumably without a known role in human development or health (50, 59, 69). Furthermore, human variation differs greatly between different populations, with African ancestry populations showing the greatest variability and European populations the lowest. Overall, these data clearly underline the significance of population-matched controls for gene discovery studies. Publicly available databases such as ISCA, DECIPHER, Clinvar, Exome Variant Server, 1000 Genomes Project, and ExAC/gNOMAD are extremely valuable for differentiating potential disease-causing variants from standing variation (55, 151–153). The use of reliable assays in cells or organoids, or tractable animal models such as zebrafish will also be invaluable for functional analysis to guide interpretation of these potential variants before one commits to engineering the variants in rodents.

One can also begin to estimate the potential for undetected genetic forms of CAKUT by examining the frequency of putative loss-of-function variants in CAKUT genes in large public WES or genome sequence databases. For example, ExAC, a database of over 60,000 individuals undergoing exome sequencing for non–kidney-related conditions (152), reports loss-of-function mutations in PAX2 in approximately 1:4,000 individuals, and a DSTYK splice site variant in approximately 1:3,000 individuals. Overall, about 1:200 individuals in ExAC harbor a rare loss-of-function variant (allele frequency < 1:1,000) in dominantly inherited genes listed in Supplemental Table 1, suggesting that some patients may carry clinically unrecognized kidney traits, or some variants may be incompletely penetrant or completely benign. Hence, phenotypic characterization of mutation carriers from genetically characterized cohorts can uncover the prevalence of genetic urinary tract anomalies and better define the penetrance and clinical relevance of dominantly inherited variants. At the same time, these findings highlight the challenges of gene discovery and sequence interpretation for CAKUT.

With the introduction of clinical grade chromosomal microarray and next-generation sequencing, clinicians now have the opportunity to incorporate genetics into their diagnostic workup. Genetic testing can provide a precise diagnosis that can help individualize clinical care by screening for specific complications (e.g., screen for diabetes or ocular coloboma in patients with HNF1B and PAX2 mutations, respectively; ref. 18) and facilitate medical decision making (e.g., avoiding immunosuppressive therapy in CAKUT clinically misdiagnosed as a glomerular nephropathy because of low-grade proteinuria). The availability of genetic diagnosis can also put an end to diagnostic odysseys for families and provide tailor-made counseling.

Based on the available data and national recommendations for genetic testing for congenital anomalies (54), chromosomal microarrays should be strongly considered as a first-line diagnostic approach for CAKUT cases (55). In particular, data indicate an up to 15% diagnostic rate for cases involving parenchymal kidney defects (e.g., RHD), or cases involving extrarenal malformations (69–71). The identification of genomic disorders enables targeted surveillance and intervention for specific complications, exemplified for the Chr.17q12 syndrome above.

The highly significant overlap between pathogenic CNVs in CAKUT and neuropsychiatric disorders particularly impacts the clinical management of CAKUT patients (Figures 1–3), because a significant fraction of individuals with these genomic imbalances are at increased risk for intellectual disability and other neuropsychiatric complications such as autism and schizophrenia (59, 69–71, 125, 154). This genomic overlap suggests that the same genetic lesion can simultaneously impair nephrogenesis and neurodevelopment, potentially explaining the known association between neurocognitive deficits and CKD in children (155). Consistent with this hypothesis, analysis of the Chronic Kidney Disease in Children (CKiD) study cohort demonstrated that children with pathogenic CNVs had significantly lower neurocognitive scores such as IQ, depression/anxiety, and executive functioning, confirming that genomic diagnosis can provide opportunities for early diagnosis of neurocognitive impairment in children with CKD (156). Moreover, the severity of neurocognitive impairment is attenuated by factors such as higher parental IQ or level of education, indicating modifiability by background hereditary and environmental factors (70, 156–158). These data must be evaluated in the light that CAKUT is usually detected during routine fetal ultrasound investigation, a much earlier time point than neurocognitive defects are diagnosed. Given the plasticity of neurocognitive development in the postnatal period, an early molecular diagnosis can prompt careful clinical evaluation and early detection of subtle neurocognitive impairment and may lead to improved outcome through early and intensive behavioral interventions (159).

When microarray studies are negative, clinicians have the option to follow up with next-generation sequencing tests, such as targeted sequencing panels and whole-exome or whole-genome analysis. The pros and cons of each modality are discussed elsewhere (160–162). In the short term, targeted panels may provide a cost-efficient approach for screening for the most common (but not all) disorders, and negative results may require additional follow-up with another modality. A number of studies have demonstrated that targeted panels will yield a diagnostic rate of 5% to 10% in patients with isolated CAKUT (109, 163). With the rapidly growing list of syndromes and declining cost of sequencing, WES or genome sequencing will likely emerge as the preferred diagnostic modality. The major benefit of these modalities is their genome-wide coverage, which allows analysis of all relevant genes simultaneously and also provides the opportunity for reanalysis as novel genes are identified. They may also reveal incidental genetic findings that are unrelated to the primary indication for testing, providing added health information that may be beneficial (e.g., predisposition to cancer), although this may unintentionally augment the medical decision–making burden on families.

Regardless of sequencing modality, clinical annotation of genomes and classification of variants will be the most challenging tasks for clinicians. As previously mentioned, we have guidelines for interpretation of genetic sequence data and rich population reference data sets and many tools for in-silico prediction of deleteriousness of sequence variants (150–153, 164, 165). Still, molecular pathologists often face many difficulties in differentiating rare variants with predicted deleterious potential from true disease-causing variants. Some clinical databases such ClinVar also contain outdated information about variant pathogenicity, necessitating careful review of original evidence before a clinical report is issued (150, 152, 166). Furthermore, variant interpretation is also complicated for minority populations for which background allele frequency data are scarce, raising the potential for misdiagnosis and generating many variants of unknown significance in clinical reports (167–169). With the availability of sequencing data in larger populations of cases and controls, many variants of unknown significance can be better classified in definite categories such as pathogenic or benign. Conversely, many variants initially classified as pathogenic may be reclassified as benign, posing new dilemmas for clinicians and patients who may have acted on the initial report. Interpretation of alleles that impart large effects on disease risk but are characterized by significant incomplete penetrance will also pose challenges in genetic counseling. Systematic efforts such as ClinGen will be invaluable for curation and annotation of sequence data, but will likely take many years to complete (165). In the meantime, clinicians must balance the need for stringent interpretation of data and the desire to provide answers for their patients. In addition, a large number of ethico-legal and societal issues will need to be considered in the return of primary results and incidental findings. In particular, the ability to obtain genetic diagnoses in the prenatal setting can lead to personalized and preventive treatment strategies, but can also influence parental planning, raising thorny issues that will require thoughtful consideration.

CAKUT is a frequent human developmental defect that imparts significant risk for renal and extrarenal morbidity. Current genetic studies indicate a complex genetic basis for this trait requiring efforts to devise large-scale human genetic studies accompanied by appropriate functional modeling to solve its genetic underpinning. Understanding the genetic architecture of CAKUT, its subcategories, and its complications will be instrumental for developing accurate genetic testing strategies that can guide clinical decision making within a precision medicine framework. A genetic diagnosis prompts physicians to reassess their patient’s (renal and extrarenal) phenotype, and is critical in the prevention of future complications of disease. Despite the fact that challenges remain in the interpretation of genetic data, such a precision medicine approach will lead to better treatment and a better clinical outcome for CAKUT patients and their family members.

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We want to apologize for all the important work of investigators that we were not able to cite in this review due to space restraints. We thank the three anonymous reviewers who commented on this work. This work was supported by the American Heart Association Grant-in-Aid 13GRNT14680075 (to SSC), by the Columbia CTSA Irving Institute/Clinical Trials Office pilot grant UL1 TR000040 (to SSC), by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) 1R21DK098531 (to SSC), the NIDDK 1R01DK103184 (to SSC), by the Italian Ministry of Health “Ricerca Finalizzata” (to SSC and GMG), by a Kolff postdoc abroad grant of the Dutch Kidney Foundation (to RW), by the Fondazione Malattie Renali nel Bambino (to GMG), by the NIDDK 1R01DK080099 (to AGG), and the NIDDK 3U54DK104309 (to AGG).

Address correspondence to: Simone Sanna-Cherchi, Division of Nephrology, Columbia University College of Physicians and Surgeons, 1150 Street Nicholas Avenue, Russ Berrie Pavilion 412b, New York, New York 10032, USA. Phone: 212.851.4925; Email: ss2517@cumc.columbia.edu. Or to: Ali G. Gharavi, Division of Nephrology, Columbia University College of Physicians and Surgeons, 1150 Street Nicholas Avenue, Russ Berrie Pavilion 412, New York, New York 10032, USA. Phone: 212.851.4927; Email: ag2239@columbia.edu.

Conflict of interest: A.G. Gharavi received support from the Renal Research Institute in 2016.

Reference information: J Clin Invest. 2018;128(1):4–15.

https://doi.org/10.1172/JCI95300.

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