Article Association Between Genotype and Phenotype in Uromodulin
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Article Association between Genotype and Phenotype in Uromodulin-Associated Kidney Disease Jonathan L. Moskowitz,* Sian E. Piret,† Karl Lhotta,‡§ Thomas M. Kitzler,| Adam P. Tashman,* Erin Velez,* Rajesh V. Thakker,† and Peter Kotanko* Summary Background and objectives Uromodulin-associated kidney disease (UAKD) is an autosomal dominant disease caused by uromodulin (UMOD) gene mutations. This study explored genotype-phenotype correlations by ex- *Renal Research Institute, New York, amining the relationship between the type of UMOD mutation and the age at onset of ESRD. New York; †Academic Endocrine Unit, Design, setting, participants & measurements Extensive bibliographic research was used to ascertain patient-level Radcliffe Department of Medicine, Oxford data of all patients with UAKD published up to October 2011. Data included sex; ages at onset of hyperuricemia, fi Centre for Diabetes, gout, and ESRD; and UMOD genotype. Kaplan-Meier analysis and Cox proportional hazards models tted with Endocrinology and shared gamma frailty terms to adjust for within-family correlations were used to model time to event. Metabolism, Churchill Hospital, University of Oxford, Oxford, Results Thirty-one peer-reviewed publications reporting on 202 patients from 74 families with 59 different United Kingdom; UMOD mutations were included. Median ages at onset of hyperuricemia, gout, and ESRD were 24, 40, and 56 ‡Department of years, respectively. Men developed gout and ESRD significantly earlier than did women (age at ESRD was 50 Nephrology and years for men and 60 for women; P=0.04, shared frailty model). Median ages at ESRD development were lowest Dialysis and §Vorarlberg Institute with Cys77Tyr (37.5 years) and highest with Gln316Pro (65.5 years) UMOD mutations. Onset of ESRD was fi for Vascular signi cantly earlier with UMOD mutations located within the epidermal growth factor domains 2 and 3 (range, Investigation and 45–52 years; P,0.01 and 0.04, respectively) compared with the cysteine-rich domains (range, 60–65 years; by Treatment, Academic shared frailty model). Teaching Hospital Feldkirch, Feldkirch, | fi Austria; and Division Conclusions The UMOD genotype is related to the clinical phenotype of UAKD. This nding may assist in of Medical Genetics, counseling of patients. McGill University Clin J Am Soc Nephrol 8: 1349–1357, 2013. doi: 10.2215/CJN.11151012 Health Centre, Montreal, Quebec, Canada fi Introduction UMOD is rst synthesized as an 84-kD precursor, Correspondence: Dr. Uromodulin (UMOD) is encoded by the UMOD gene then slowly converted into the mature 95-kD 640– Peter Kotanko, Renal on chromosome 16p12 and is the most abundant pro- amino acid glycoprotein. UMOD mutations present Research Institute, tein found in human urine (1). UMOD is postulated in patients with UAKD cause a delay in the matura- 207 East 94th Street, to affect urine concentration by maintaining tubular Suite 303, New York, tion rate and protein export to the plasma membrane NY 10128. Email: water impermeability and regulating salt transport because of a longer retention time in the endoplasmic [email protected] (2,3). More recent research suggests it can also acti- reticulum (7–12). It is possible that mutations that vate dendritic cells to express proinflammatory cyto- differentially affect the rate of UMOD maturation kines and thereby possibly promote inflammation in and expression on the cellular membrane can influ- the renal interstitium (4). Uromodulin-associated kid- ence the clinical course of the disease. Most UMOD ney disease (UAKD) refers to autosomal dominant mutations cluster in exons 4 and 5 and cause changes interstitial kidney disease. Mutations in the UMOD to cysteine residues, which leads to a misfolding of gene were found to be associated with clinical man- the UMOD molecule (1). ifestations, such as hyperuricemia, gout, and CKD (5). UMOD contains three epidermal growth factor Different diagnoses were given to patients with these (EGF) domains; a cysteine-rich region, which conditions, which were also found to have mutations includes a domain of eight cysteines (D8C); and a in the UMOD gene (e.g., medullary cystic kidney dis- zona pellucida domain (12) (Supplemental Figure 1 ease type 2, familial juvenile hyperuricemic nephrop- and Supplemental Table 1). Exons 4 and 5 encode the athy, hereditary nephropathy with hyperuricemia first EGF domain to the end of the cysteine-rich re- and gout, uromodulin storage disease, and glomeru- gion. Mutations in each region have been found with locystic kidney disease). However, it has been pro- varying levels of clinical phenotype severity. Muta- posed that a clinical distinction among these terms tions that reduce the calcium-binding affinity in the is not warranted because they appear to represent a calcium-binding EGF (cbEGF) domain may impair spectrum of one and the same disease (6). global protein structure (7). Bound calcium stabilizes www.cjasn.org Vol 8 August, 2013 Copyright © 2013 by the American Society of Nephrology 1349 1350 Clinical Journal of the American Society of Nephrology the cbEGF-like domain conformation, restricting interdo- defined as first diagnosis of serum uric acid level .1SD main flexibility (13), and may protect against proteolytic greater than normal values for age and sex (16). Age at degradation (14). gout onset was defined as the patient’sageatthefirst Families with UMOD mutations have been identified in episode of gouty arthritis. the United States, Austria, Spain, France, Portugal, the Czech Republic, the United Kingdom, Belgium, Germany, Statistical Analyses Switzerland, Latvia, Morocco, Japan, Turkey, and South The primary aim of the study was to explore the relation- Korea. However, there has not been a worldwide epide- ship between UMOD mutations and time to ESRD. Second- miologic study on UAKD. This analysis strives to ascertain ary aims were to analyze the relationships between sex and all UAKD cases published through October 2011 and to age at the onset of hyperuricemia and gout. To that end, relate UMOD genotype to clinical presentation. median age at the onset of hyperuricemia, gout, and ESRD were computed. In separate analyses, patients were strati- fied by sex, presence or absence of hyperuricemia or gout, Materials and Methods UMOD mutation, affected uromodulin domain, and cell Search Strategy surface expression pattern. Extensive electronic and manual bibliographic research The six UMOD mutations with the most affected indi- was performed to ascertain patient-level data of all cases of viduals were examined to determine whether having a dif- UAKD published through October 2011. Meticulous care ferent genotype could affect the outcome. In an additional was exercised to exclude duplicate reports of patients. We analysis, UMOD mutations were aggregated according to reviewed citations in English from PubMed, the D. Samuel their place within one of the five following functional do- Gottesman Library from the Albert Einstein College of mains: CysRich-1, CysRich-2, D8C, EGF2, and EGF3. Only Medicine in New York, and Google Scholar. The search functional domains with mutations affecting more than 14 strategy included keywords and synonyms for the follow- patients were considered. Mutations were further classi- ing terms: familial juvenile hyperuricemic nephropathy, fied into groups in which substitutions affected a cysteine uromodulin, Tamm-Horsfall protein, medullary cystic residue, a nonpolar residue, and a noncysteine polar resi- kidney disease, mutation, uric acid, gout, and hyperurice- due. Cysteine substitutions were then compared with non- mia. Full-text articles were retrieved for further indepen- cysteine substitutions. dent manual evaluation by two authors (J.M. and E.V.). For the modeling process, statistical adjustments for Supplemental searches using the names of authors of members of the same family were made. This was done by relevant articles were performed. multiplicatively adjusting the hazard rate of each family All retrieved published full-text case studies on individ- member by the same factor (the frailty) according to the uals and families with UAKD were included. When the model mentioned below. For example, it may be the case same family was investigated in more than one study, the that all members of family A are frailer than members of most recent study with the most thorough data were family B, adjusting for other covariates. In this case, the included. If the most recent publication had incomplete family A frailty will be greater than the family B frailty. clinical data, the data were combined with a previous study The gamma shared frailty model—which is an extension and adjusted for time. In some instances, authors were of the Cox model—was used to estimate hazard ratios fi personally contacted for data veri cation. In addition, one (17,18). If the frailty effect was not statistically significant hitherto unpublished UAKD family was included. A search at 0.05, it was excluded and a conventional Cox propor- for UMOD mutations in the 1000 Genomes database tional hazard model was used to fittothedata.TheR showed that UAKD-associated mutations were not detec- package survival was used to fit the models and perform fi ted in that population, con rming the rare, pathogenic na- hypothesis testing (19). ture of the UMOD mutations studied here. Allele Additionally, in models with significant frailty effect, the frequency variation across different populations is there- shared frailty model was used to estimate median time to fore an unlikely confounding factor. event and the 95% confidence interval (CI) around the median. The median can be computed for any given frailty, Data Ascertainment and here a value of unity was used (this assumes that the Articles were scanned for information on all patients individual has average frailty). For case frailty = 1, the reported. All clinical data were recorded in a database, formula for the median under the shared frailty model is including pedigree position, sex, race, country of residence, the same as the formula for the median under the Cox type of UMOD mutation, ESRD status, age at hyperurice- model, but the latter must use the parameter estimates from mia, gout, ESRD, death, and age at last follow-up.