Clinical utility of PKD2 mutation testing in a polycystic kidney disease cohort attending a specialist nephrology out-patient clinic
- First Online:
- Cite this article as:
- Robinson, C., Hiemstra, T.F., Spencer, D. et al. BMC Nephrol (2012) 13: 79. doi:10.1186/1471-2369-13-79
- 2.5k Downloads
ADPKD affects approximately 1:1000 of the worldwide population. It is caused by mutations in two genes, PKD1 and PKD2. Although allelic variation has some influence on disease severity, genic effects are strong, with PKD2 mutations predicting later onset of ESRF by up to 20 years. We therefore screened a cohort of ADPKD patients attending a nephrology out-patient clinic for PKD2 mutations, to identify factors that can be used to offer targeted gene testing and to provide patients with improved prognostic information.
142 consecutive individuals presenting to a hospital nephrology out-patient service with a diagnosis of ADPKD and CKD stage 4 or less were screened for mutations in PKD2, following clinical evaluation and provision of a detailed family history (FH).
PKD2 mutations were identified in one fifth of cases. 12% of non-PKD2 patients progressed to ESRF during this study whilst none with a PKD2 mutation did (median 38.5 months of follow-up, range 16–88 months, p < 0.03). A significant difference was found in age at ESRF of affected family members (non-PKD2 vs. PKD2, 54 yrs vs. 65 yrs; p < 0.0001). No PKD2 mutations were identified in patients with a FH of ESRF occurring before age 50 yrs, whereas a PKD2 mutation was predicted by a positive FH without ESRF.
PKD2 testing has a clinically significant detection rate in the pre-ESRF population. It did not accurately distinguish those individuals with milder renal disease defined by stage of CKD but did identify a group less likely to progress to ESRF. When used with detailed FH, it offers useful prognostic information for individuals and their families. It can therefore be offered to all but those whose relatives have developed ESRF before age 50.
Comparative genomic hybridisation
Autosomal dominant polycystic kidney disease
End-stage renal failure
Chronic kidney disease
Glomerular filtration rate
Estimated glomerular filtration rate
Renal replacement therapy
Multiplex Ligation-dependent Probe Amplification
Fluorescence in situ hybridization
Magnetic resonance imaging.
ADPKD is an important monogenic cause of renal disease worldwide, affecting more than 1:1000 of the population. It accounted for 6.7% of incident cases in the UK in 2009 requiring RRT and 9.6% of the prevalent cases (UK Renal Registry, http://www.renalreg.com). The development of ESRF typically occurs in later life, although there is considerable inter- and intra-familial variability . Factors that have some minor predictive value for disease severity and earlier onset of ESRF include male sex, early age of diagnosis, early onset hypertension, and macroscopic haematuria . Therefore it is difficult to provide accurate prognostic information to affected individuals and their at-risk family members. Although clinical trials are in progress, there are no current therapies that have been shown to alter the course of the disease and the rate of decline in renal function .
Detection rate ofPKD2mutations in different published studies
% cases with PKD2 mutation
J Am Soc Nephrol 18:SA-PO93, 2007
Olmsted County population study
Barua et al. 2009 
Single centre, ESRF excluded
Peters et al. 1992 
Multi-centre, ADPKD kindreds
Rossetti et al. 2007 
Multi-centre, CRISP study (GFR >70 ml/min)
Rossetti et al. 2003 
Multi-centre, ADPKD with vascular phenotype
Garcia-Gonzalez et al. 2007 
Multi-centre, ESRF included
Single centre, CKD5 and ESRF excluded
PKD gene testing has recently been approved for clinical use in the UK by the UK Genetic Testing Network (http://www.ukgtn.nhs.uk) and is available in other countries worldwide. To provide improved prognostic and genetic counselling information, we introduced PKD2 mutation testing into a hospital nephrology outpatient service that sees pre-ESRD patients, as a clinical tool to assign patients and their families to either PKD2 or non-PKD2 groups. PKD2 testing has the potential to provide accurate genotype information for an individual without the need to collect additional family members for linkage analysis or to undertake the more complex and technically challenging PKD1 mutation testing [12, 13]. ADPKD patients attending a single nephrology outpatient clinic formed the study cohort, which excluded those already referred to a low clearance clinic (CKD5) or already receiving RRT. Here we show that direct PKD2 mutation testing offers a means of providing additional prognostic information to individuals with ADPKD and their families especially when used with a detailed family history.
Sequential unrelated adults referred to the Cambridge Renal Genetics and Tubular Disorders Clinic (http://www.cuh.org.uk/addenbrookes/services/clinical/renal/services/renal_genetics_tubular_disorders_clinical.html) between 2005 and 2009 with, or at risk of, a primary clinical diagnosis of ADPKD were included in this study. Patients attending other clinics such as low clearance (CKD5, eGFR ≤ 15 mL/min/1.73 m2) or renal replacement/transplant clinics were excluded. Standard diagnostic ultrasound criteria were used if there was a known family history of ADPKD . If no family history was available, the diagnosis of ADPKD was made if renal imaging demonstrated bilateral nephromegaly with multiple cortical and medullary cysts with or without hepatic/pancreatic cysts, and where other diagnoses associated with bilateral renal cysts were excluded. Clinical and family data was obtained from index cases during their routine clinical assessment. Additional family data, where necessary, was obtained from medical records with full written consent. The following demographic and clinical data were collected: age, gender, blood pressure, antihypertensive treatment, serum creatinine/eGFR at presentation, indications for renal ultrasound, current renal function, initiation of dialysis and/or death, number of affected relatives and age of their ESRF. Hypertension was defined as a blood pressure > 140/90 mmHg on more than one occasion, or regular prescription of antihypertensive medication. Renal volume was not routinely evaluated.
This study was approved by the Cambridge Central Research Ethics Committee (project number 08/H0306/62) and registered for audit activity with Cambridge University Hospitals NHS Foundation Trust.
Genomic DNA from all index cases was extracted by standard methods and screened for PKD2 mutations by exon-specific PCR and direct sequencing. Further details of the methods used are available in Additional file 1: Table S1 or via the UKGTN website (http://www.ukgtn.nhs.uk/gtn/Home). PKD2 sequence variants were defined as pathogenic if either previously reported or destructive to the integrity of the encoded protein, and if mis-sense, as likely pathogenic/likely neutral using the criteria described in the PKD Mutation database (http://www.pkdb.mayo.edu).
All data are presented as mean ± SE or median (IQR) as appropriate. Comparisons of proportions were made with Fisher’s Exact or Mann Whitney U test. Continuous variables were compared with the Student’s t-test or Wilcoxon Rank Sum test as appropriate. A p-value of <0.05 was considered significant. Patients were included in analyses of renal function if their creatinine values were available for two or more time points. Rate of decline in renal function was assessed using response feature analysis , with the regression slope of eGFR over age as the response feature. CKD stages 3–5 were defined as the first time point when eGFR reached standard threshold criteria on three consecutive measurements. Time to onset of CKD was assessed using a Cox proportional hazards model, with PKD genotype as the predictor variable. The proportional hazard assumption was assessed using scaled Schoenfeld residuals . For building proportional hazard models, goodness of fit was assessed by estimating the empirical Nelson-Aalen cumulative hazard function with the Cox-Snell residuals as the time variable, along with the censoring variable .
All primary analyses using regression models were performed using diagnostic sub-type as the only predictor variable. All analyses were performed using Stata SE v11.2, (College Station, Texas).
Sequence variants identified inPKD2
Amino acid change
No. of cases
c.283 G > T
c.449 C > T
c.568 G > A*
Val 103 fs
c.602 G > A*
c.637 C > T
IVS2 + 5insA
c.709 + 5insA
IVS2-2A > G
c.710-2A > G*
c.965 G > A*
c.1081 C > T*
IVS4 + 1 G > A
c.1094 + 1 G > A*
c.1169 G > T
c.1445 T > G*
c.1521 G > A
IVS8 + 5 G > C
c.1898 + 5 G > C
IVS8 + 1 G > A
c.1898 + 1 G > A*
c.1837 C > T
c.1895 G > A
c.2189 G > A
c.2224 C > T*
c.2420 G > A*
c.2533 C > T*
c.2600 T > C
c.2755 G > A
One patient harbouring a mis-sense mutation had a second, indeterminate change, R807Q (Table 2). Although his mother was clinically affected, parental samples were not available for segregation analysis.
Characteristics of ADPKD patients screened forPKD2mutations. ns = not significant
Age at clinic presentation y
49.0 ± 13.3
49.5 ± 14.8
Age at diagnosis y
37.4 ± 15.4
42.6 ± 14.4
Hypertensive at diagnosis %
Treatment for hypertension %
Progression to ESRF %
p < 0.03
eGFR at presentation ml/min/1.73 m2
67.0 ± 27.6
74.0 ± 28.4
No FH of ADPKD %
FH with ESRF %
FH with no ESRF %
p < 0.03
Median age of family member at ESRF y (range)
p < 0.0001
Number with FH ESRF < 50 yrs
Number with FH ESRF < 60 yrs
Number with FH ESRF < 70 yrs
Number with FH ESRF ≥ 70 yrs
Number of family members with ESRF (where age known)
By-category comparison between genotypes of proportion of cases developing CKD
At least CKD3
At least CKD4
CKD5 or RRT
The number of patients reporting no known family history of ADPKD did not differ significantly between genotypes (36% of non-PKD2 and 26% of PKD2, Table 3); neither did the occurrence within the family of ESRF (Table 3). However, patients with a PKD2 mutation were more likely to have a FH featuring preservation of renal function (33.4% vs 13.9%, p < 0.03) and ESRF occurring at an older age in affected relatives (65.5 ± 10.2 yrs vs 54.1 ± 9.8 yrs, p < 0.0001). No patient with a FH of ESRF at age < 50 years had a PKD2 mutation (PPV 100%, sensitivity 0.71). In contrast, a FH of ESRF that did not occur until at least 70 years was predictive of a PKD2 mutation (PPV 88%, sensitivity 0.29).
This preliminary, single centre, small scale prospective study was designed to evaluate the use of routine PKD2 mutation testing in a nephrology outpatient clinic. The clinic does not see those who have already developed ESRF. Since it is known that PKD2 status identifies those with a milder clinical phenotype and delayed progression to ESRF by up to 20 years , this information would be valuable to provide patients and their families with improved prognostic information in the earlier stages of their disease and to determine whether there were other simple, patient-reported variables that could be used to predict genotype and prognosis. Therefore additional information about PKD1 mutation status was not required, as assignment to the PKD2 group did not require this. Similarly, the role of reduced-penetrance PKD1 alleles on the expression of PKD2-linked disease is not known and has not been evaluated in other studies [19, 20]. Patients carrying both PKD1 and PKD2 pathogenic mutations are also very rare .
We demonstrated that a fifth of an unselected ADPKD patient cohort from a single clinic that sees patients only with eGFR > 15 mL/min/1.73 m2 had a likely pathogenic PKD2 mutation. Our patient characteristics are very similar to those reported by Garcia-Gonzalez et al. (2007), although the number reaching end-stage was lower in our study (10% vs. 21%) . In its design, our study was likely to favour a higher PKD2 detection rate, as testing was not offered to individuals with CKD5 or receiving RRT. In addition, defining the proportion of all patients with ADPKD harbouring a PKD2 mutation was not a primary aim of this study. Consistent with this, other studies have shown a detection rate of ~15% when all prevalent cases have been included. Therefore the conclusions of this study can only be applied to similar clinical cohorts. As patients with ADPKD and CKD1-4 are typically seen in the nephrology out-patient clinic setting that does not include those with CKD5 and ESRF, this should not present significant clinical difficulty.
Interestingly, there appeared to be no overall difference between the two groups in the risk of developing, or age of development of, CKD3 or CKD4, or in the rate of functional deterioration (eGFR) once CKD had supervened. It is unclear whether the former was due to the cohort size or selection of patients with a milder phenotype due to the exclusion of those that presented with CKD5. Post-hoc power calculations demonstrated that the sample had 60% power to detect a renal survival difference for CKD3. For 80% power a sample size of 169 patients would be required (34 with a PKD2 mutation and 135 without). Therefore the relatively small sample size will limit some of the inferences that can be drawn from our data. Although the proportion of patients developing CKD3/4 in the two groups were not statistically different, we recognise that our study was sub-optimally powered to detect such a difference, but the direction of the effect of non-PKD2 status would be consistent with previous reports of worse renal outcomes in this patient group. There was greater heterogeneity in the renal phenotype of non-PKD2 patients, with a minority experiencing early-onset CKD (Figure 3). Further well- powered longitudinal studies in the same clinical setting, using multi-centre registries of genotyped patients, are therefore required to address this including the contribution of other factors such as age, gender, hypertension and albuminuria.
Currently, genic variation in ADPKD is the main factor predicting renal outcome, ESRF occurring up to 15–20 years later in patients with a PKD2 mutation when compared to those with a PKD1 mutation . MRI imaging data from the CRISP study suggests that this is due to a lower number of cysts being present in PKD2-related disease, rather than differences in the rate of cyst growth or renal enlargement [23, 24]. Although not generally in clinical use, measurement of single or serial renal volumes may better predict disease severity, with larger kidneys predicting a more rapid rate of decline in GFR . However, routine PKD2 mutation testing that does not require the patient to be present, will become more economical and identifies a group of patients likely to have preserved renal function for longer .
The use of direct mutation testing rather than linkage analysis also has the benefit of being available to individuals rather than extended families. About a third of our cohort was not aware of a FH of ADPKD at the time of clinic attendance and would therefore not have been suitable for linkage analysis. This most likely represents a combination of factors including new mutation, undiagnosed disease in relatives and unrevealed diagnoses rather than a higher than expected new mutation rate alone. Whilst the lack of a FH means that the Ravine criteria for the diagnosis of ADPKD cannot be strictly employed it is likely that other causes of PKD, such as renal cysts and diabetes (RCAD, OMIM 137920) which can phenocopy ADPKD, were not sufficiently common to account for the discrepancy with the published data. Similarly the role of hypomorphic alleles in modifying disease presentation remains unknown although is unlikely to account for significant non-penetrance. In the study by Barua et al. , the new mutation rate determined following parental ultrasound examination was ~10%, suggesting that in more than a fifth of our patients, a diagnosis of ADPKD is not being communicated or is undiagnosed. Wider use of parental screening after appropriate counselling is therefore justified to clarify disease risks for family members. Further work will be required to explore how this may be more generally implemented in non-specialist clinics and in primary health care.
The detection rate of ~ 20% PKD2 mutations is in broad agreement with other studies (range 15-36%; Table 1) [5, 6, 12, 13, 22, 25, 26]. However, each of these studies employed different inclusion and exclusion criteria and sampled different populations, making ascertainment bias likely. The estimate of 36% in one study may represent the true frequency when population screening for ADPKD is carried out, and would likely represent the ascertainment of asymptomatic, undiagnosed and therefore mild cases.
Unlike direct PKD1 mutation testing, where it remains difficult to assign pathogenicity to some variants, the majority of PKD2 sequence variants can be assigned as likely or highly likely to be pathogenic [12, 13]. Sensitivity of mutation detection is therefore likely to be very high when using direct sequencing, although this needs to be formally tested in families where linkage data are also available . In the study by Veldhuisen et al. (1997), mutations were found in 57% of 35 families linked to the PKD2 locus when 80% of the gene was screened by single strand conformation polymorphism analysis and direct sequencing . With newer methods and complete gene sequencing and dosage analysis, a higher detection rate is likely. Our figure of ~ 20% may therefore still slightly underestimate the true number of PKD2 mutations in this cohort of patients with CKD1-4. Dosage analysis is now available and should be included in future studies. However, the PKD Mutation Database suggests that large deletions and duplications in PKD2 are rare. Only a single deletion among 115 pathogenic PKD2 mutations reported here and in the database would have been missed without dosage analysis. Thus a > 98% detection rate by screening coding exons and their splice sites can be achieved. This represents the best current method for identifying individuals and families that harbor a PKD2 mutation and may therefore have a better prognosis.
Although molecular testing for ADPKD is now available in the UK (http://www.ukgtn.org.uk), it has not been routinely used in nephrology out-patient clinics for diagnostic, predictive or prognostic testing. At present, diagnosis and family screening are almost exclusively carried out using imaging combined with a FH. The main utility of genetic testing to date has been in research to define the natural history of the disease by genotype, and to identify genotype/phenotype correlations . Indications for clinical molecular testing include establishment of the correct diagnosis if there is no family history and if there are atypical features on imaging; exclusion testing for potential living-related donors and prenatal/pre-implantation genetic diagnosis . Of these, the ~ 20% detection rate of PKD2 mutations is likely to be most clinically useful in screening potential living-related donors, particularly for those with normal ultrasounds below age 40 . Non-PKD2 status is assumed here to represent PKD1-linked disease, i.e. in this context the test is 100% specific and sensitive.
Of the clinical variables recorded in this study, few had significant predictive power to identify patients likely to have a PKD2 mutation. In the multivariate model adjusting for gender and hypertension, point estimates suggested that non-PKD2 disease, male gender and the presence of hypertension may together be associated with earlier onset of CKD3 (Additional file 2: Table S2), although formal significance levels were not reached in this cohort due to its size. However, the directional nature of the effect supports previous reports indicating a milder renal phenotype with PKD2 mutations .
The lack of difference in progression from CKD3 between the two groups was unexpected, but may be due to a number of factors. Firstly, although 16 non-PKD2 cases had developed CKD4 earlier than the youngest PKD2 case with CKD4 (59.6 years), 25% (5/20) of non-PKD2 cases had not yet reached CKD3 by the age of 62, compared to 17% (1/6) of PKD2 cases, further highlighting that likely PKD1 mutations may be associated with mild disease . Secondly, our analysis may underestimate progression of CKD in non-PKD2 cases due to ascertainment bias through exclusion of patients with existing CKD5/ESRD, since our results suggest a predominance of non-PKD2 in patients in this group. Thirdly and most likely, our available sample may be underpowered to detect differences in progression to CKD3. This further emphasises the continued need to conduct long-term studies on large, genotyped cohorts.
However, the comparable rate of decline in eGFR after the onset of CKD3 between the two groups is similar to that observed in previous studies where no significant differences between genotypes were found, suggesting that the underlying disease process is independent of the causal mutation . This is also supported by previously observed similar rates of change in renal volume between PKD1 and PKD2 groups, although the PKD2 group have fewer cysts and smaller kidneys at a given age .
The predictive value of the FH was strong . PKD2 patients were more likely to have a FH of ADPKD without progression of CKD, and the average age of a family member with ESRF was significantly higher than the non-PKD2 group (Table 3). This reflects the ascertainment of all degrees of disease among family members and is in keeping with the previously reported milder clinical phenotype of PKD2-linked disease . A FH of ESRF before age 50 was highly predictive of non-PKD2 status (PPV 100%, sensitivity 0.71). Therefore, in PKD patients with relatively preserved renal function, the disease course of affected family members can usefully be used to direct genetic testing, with PKD2 testing targeted to those patients with a FH of ESRF occurring only over 50 yrs. Similarly, a FH of ESRF occurring at or after age 70 was strongly predictive of a PKD2 mutation (PPV 88%, sensitivity 0.29). However, sensitivity was low, as some individuals with apparent PKD1-linked disease (non-PKD2) can have very mild disease , as observed in our cohort (Figure 3). Our results confirm those of Barua et al. who found that the presence of at least one family member who developed ESRF before 55 years was highly predictive of PKD1 (positive predictive value 100%, sensitivity 72%) . Having at least one family member with ESRF after 70 years of age was also highly predictive of PKD2 in that study. FH alone has limitations if additional family information is not available, or if an individual represents a new mutation (i.e. if both parents have normal renal imaging). Such patients are suitable for genetic analysis.
Importantly, a positive PKD2 test allows other family members to consider predictive genetic testing. Therefore, whilst a detailed FH has some predictive value and patients with a FH of ESRF before age 50 can be excluded from PKD2 testing, genotyping offers the best means to provide prognostic information in the absence of other discriminant clinical parameters. In summary, we suggest that PKD2 screening can be routinely offered to ADPKD patients except where they or their family members have developed ESRF under age 50. Additional studies in larger cohorts or using pooled data analysis would also be of value in refining the current indications and criteria for PKD gene testing.
In this study we have used mutation analysis to identify a group of patients with pathogenic PKD2 mutations but preserved renal function. PKD2 mutations have previously been reported to confer substantially better renal survival compared to PKD1-linked disease, making this an important prognostic marker. We have shown that in a population of patients with CKD1-4, PKD2 testing was positive in about a fifth of patients. When used alone, it could not discriminate those individuals with milder renal disease defined by stage of CKD, but did identify a group less likely to progress to ESRF. Combined with FH, it offers useful prognostic information for individuals and their families, and can be routinely offered to all but those whose relatives have developed ESRF before the age of 50.
FEK is Professor of Nephrology at the University of Cambridge and honorary consultant in renal medicine. RNS is a Reader in Renal Genetics at the University of Cambridge and honorary consultant in medical genetics.
This study was supported by an award from the National Institute for Health Research Cambridge Biomedical Research Centre.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.