Background
IgA nephropathy (IgAN) is the most common primary glomerulonephritis worldwide [
1]. Thirty percent of IgAN patients will develop End Stage Renal Failure (ESRF) within 20 years after diagnosis requiring dialysis or kidney transplantation.
The pathogenesis of IgA nephropathy is not well understood. A multi-hit mechanism is suggested involving four processes [
2]: (i) increase in galactose-deficient circulating IgA1 which alone is not sufficient to trigger the disease, (ii) production of circulating antibodies directed against galactose-deficient IgA1, (iii) formation of pathogenic IgA1-containing circulating immune complexes, (iiii) mesangial deposition of IgA1-containing immune complexes triggering glomerular injury.
Genetic factors are suspected in the pathogenesis of IgA nephropathy: (i) the prevalence of IgA nephropathy varies between ethnic group [
3], (ii) familial clustering consistent with autosomal dominant transmission with incomplete penetrance [
4‐
6] (iii) inherited aberrant IgA1 glycosylation in familial and sporadic IgA nephropathy [
7]. Several studies have addressed the genetics of IgAN: familial linkage analysis identified IgAN loci with
IgAN1 at chromosome 6q22 emerging as a major locus [
8,
9]. Genome-wide association studies identified other loci, including the MHC as well as the complement factor H locus and the PSMB gene [
10,
11].
Finding genetic risk factors for poor outcome of IgAN might allow to identify a high risk subgroup of patients in order to optimize therapeutic strategy, and also to better understand the pathogenesis of IgAN and eventually to characterize novel therapeutic targets.
Genome-wide studies have recently also addressed the genetic variants underlying impaired renal function and Chronic Kidney Disease (CKD) in the general population [
12]. Single Nucleotide Polymorphisms (SNPs) in the
UMOD gene were significantly associated with CKD and increased serum creatinine. The minor T allele was associated with a 20% reduced risk of CKD. The
UMOD gene is located at chromosome 16p12 and encodes the renal-specific protein uromodulin, or Tamm-Horsfall protein, which is the most abundant protein in the urine of healthy individuals. The function of uromodulin is still unclear but it may confer protection against inflammation and infection. Rare, highly penetrant mutations in the
UMOD gene are known to cause medullary cystic kidney diease or familial juvenile hyperuricemic nephropathy. The
UMOD gene is transcribed exclusively in renal tubular cells of the thick ascending limb of the loop of Henle. These findings hence suggest a common mechanism for CKD pathogenesis localized at the nephron’s loop of Henle with an important role of uromodulin.
In addition, associations were found between
UMOD and predictive factors of IgAN progression such as hypertension and tubular atrophy and interstitial atrophy. First, a GWAS identified a locus in the 5′ region of UMOD gene whose minor allele is associated with a lower risk of hypertension [
13]. This result suggests the role of uromodulin in blood pressure regulation. Hypertension is known as IgAN factors predicting and accelerating progression to end-stage renal disease [
14]. Second, a study found that urinary uromodulin level was associated with tubulointerstitial lesions in IgAN [
15] which is known as a predicting factor with the OXFORD-MEST scoring [
16]. These findings suggest that
UMOD gene may be involved in the pathogenic process of renal disease.
Here, we tested the hypothesis that UMOD polymorphism rs12917707 is associated with severe outcome in IgA nephropathy. In a large cohort of Caucasian patients, we compared the frequency of the T allele in the following groups: stable IgAN, IgAN associated with severe outcome, and healthy controls.
Results
Two hundred and sixty three patients with severe IgAN, one hundred and eighty eight patients with stable IgAN and three hundred and forty five healthy control subjects were included in the analysis. The mean age of patients with severe IgAN was 50.68 +/- 14.39 years at the time of transplantation with a male/female sex ratio of 2.6. The mean age of stable IgAN cases was 28.04 +/- 6.24 years at the time of diagnosis; the mean duration of disease at last follow up was 24.21+/- 18.96 years and with a male/female sex ratio of 2.3. The main characteristics at last follow up are shown in Table
1.
Table 1
Stable IgAN characteristics at last follow up
Age at diagnostic, years (mean ± DS) | 28.03 ± 6.25 |
Age at follow up, years (mean ± DS) | 47.82 ± 12.7 |
Follow up duration, years (mean ± DS) | 24.2 ± 18.96 |
Proteinuria at follow up, g/d (mean ± DS) | 0.39 ± 0.13 |
SBP at follow up, mm Hg (mean ± DS) | 128.76 ± 16.3 |
DBP at follow up, mm Hg (mean, ± DS) | 78.98 ± 2.83 |
Serum creatinine at follow up, μmol/l (mean ± DS) | 84.59 ± 43.84 |
eGFR, ml/min/1.73 ml2 (mean ± DS) | 86.32 ± 38.18 |
The G and T allele frequencies of UMOD polymorphism rs12917707 were 82.7% and 17.7% respectively in the severe IgAN group, 83.8% and 16.2% in the stable IgAN group, and 83.6% and 16.4% in the control cohort. These frequencies did not significantly differ (p = 0.69 for the comparison between the 3 groups, p = 0.58 for comparison between severe cases versus stable cases and between severe cases and healthy controls, p = 0.84 for comparison between stable cases and healthy controls).
In the severe IgAN group, the frequencies of rs12917707 genotypes GG, GT and TT were 68.4%, 27.8% and 3.8% respectively. These frequencies did not significantly differ from those of the control population (70.7%, 26.1% and 3.2% respectively) in any inheritance model (co-dominant, dominant or recessive). The same was true when comparing genotypes in the stable IgAN group against the healthy control group. These results summarized in Table
2. For the global cohort (n = 796), minor allelic frequency (MAF) of rs12917707 was 0.17 and genotypes fitted the Hardy-Weinberg equilibrium (p = 0.49).
Table 2
Allele frequencies and genotypes distribution among severe cases of IgAN, stable cases of IgAN and healthy volunteers
GG
| 180(68.4) | 133(70.7) | 245(69.9) | 0.91 | 0.69 | 0.88 | 0.85 |
GT
| 73(27.8) | 49(26.1) | 95(27.5) | | | | |
TT
| 10(3.8) | 6(3.2) | 9(2.6) | | | | |
G
| 433(82.3) | 315(83.8) | 577(83.6) | 0.79 | 0.60 | 1.00 | 0.63 |
T
| 93(17.7) | 61(16.2) | 113(16.4) | | | | |
Discussion
In this study, we compared UMOD polymorphism rs12917707 in a large cohort of Caucasian patients, with either severe IgAN (end-stage renal failure requiring renal transplantation), or stable IgAN (eGFR > 60 ml/min/1.73 m2 for at least ten years since diagnosis), and healthy controls.
Our main result is the lack of significant difference in allele and genotype proportions between these three groups.
The similar UMOD genotype frequencies between healthy controls and severe IgAN patients indicate that UMOD is unlikely to be involved in IgAN pathogenesis. The similar UMOD genotype frequencies between stable IgAN and severe IgAN further indicate that UMOD is unlikely to play a role in the progression of IgAN towards renal failure. Furthermore, although our results failed to reach statistical significance, minor T allele frequency was higher in the group with severe IgAN as compared with the stable IgAN group. Therefore the minor T allele doesn’t seem to be protective against CKD progression in IgAN.
Our findings are divergent from GWAS performed to identify loci associated with CKD susceptibility or GFR (quantitative trait). Several explanations might contribute to these differences.
First, the major difference is the type of population included. We have enrolled patients selected for a specific disease (IgAN), whereas, the main GWAS, followed by meta-analysis enrolled mainly population-based cohorts unselected for a trait or a disease [
12,
17,
18]. In such cohorts, the proportion of CKD cases with hypertension and/or type 2 diabetes was high [
12,
19]. It has been shown in a quantitative-trait GWAS that the effect of
UMOD polymorphism on SCr increases substantially with both age and number of comorbid diseases (hypertension, diabetes mellitus, atherosclerosis and heart failure) [
20]. This GWAS showed even no impact of
UMOD polymorphism in patients <50 years, of note, the mean age of our cohort with severe IgAN was 50.68 +/- 14.39 years at the time of transplantation and the mean age of stable IgAN cases was 28.04 +/- 12.17 years at the time of diagnosis. Padmanabhan et al. [
13] corroborated the hypothesis of
UMOD gene’s implication in individuals having common risk factors by performing a GWAS which identified
UMOD polymorphism rs13333226 whose minor G allele was associated with a lower risk of hypertension and higher eGFR. It was also associated with a lower risk of cardiovascular events after adjusting for age, sex, BMI and smoking status. Furthermore, it seems that
UMOD gene interacts with sodium excretion. The association between
UMOD in unselected populations and the absence of association observed in our IgA-selected population supports the hypothesis that
UMOD might increase susceptibility of CKD in individuals having common risk factors (hypertension or diabetes). The other hypothesis to consider is that IgAN progression might not follow common pathways leading to ESRF.
Second, we tested the association in patients with stage V CKD requiring transplantation. GWAS detecting an association between
UMOD and CKD defined as an eGFR < 60 ml/min/1.73 m
2 including a minority of stage V CKD cases with in this cohort a mean eGFR around 80 ml/min/1.73 m
2 and almost 13.6% of patients with an eGFR < 60 ml/min/1.73 m
2. We also tested the association in patients with stable IgAN defined as patients whose IgAN was diagnosed since at least 10 years, with still an eGFR > 60 ml/min/1.73 m
2. The lack of association observed in this group may be explained by the definition of CKD given in GWAS as an eGFR < 60 ml/min/1.73 m
2 which doesn’t concur with our stable group. A borderline protective effect of the minor allele in the risk of ESRD was shown in two large case–control studies [
21,
22]. In the first study, the authors did not find an association between the SNP and aetiology of ESRD. The first cohort included 7.8% of IgAN [
21], while the cause of ESRD was not described in the second [
22]. The observed unspecific and borderline effect size of
UMOD polymorphism in these two studies argues again for a universal, non-specific effect of the SNP on renal function decline irrespectively of underlying primary disease.
Our study has several limitations. Our study is underpowered to detect a small effect size, as observed in GWAS based on unselected population. The effect size of the protective allele of
UMOD polymorphism is modest with regards to CKD risk in large GWAS. We have hypotheses that the OR for the protective allele would be larger in our group of ESRD than the OR observed in GWAS, including mostly stage I, II or III CKD cases. Our sample size had the theoretical power to detect a protective effect of T allele with an OR = 0.5. A sample size of 2064 cases and 2662 controls would have detect a OR of 0.8 for a protective effect of minor allele (effect size found in CKD-GWAS) with a power of 80% and alpha error of 5% (
http://www.openepi.com). Second we used a single candidate gene approach to evaluate the genetic susceptibility of a complex disease. The hypothesis-free approach of GWAS is the best way to find out common variants associated with complex diseases. Here we tested the hypothesis that a major CKD-associated SNP from GWAS might be involved in severe IgAN with a strong effect size. The role of less frequent variants with a strong effect size in complex diseases is now recognized [
23,
24]. The search for such variants is a complementary unbiased approach in the study of complex diseases. Our group is therefore performing whole exome sequencing in patients with severe IgAN, in order to find out rare variants strongly associated with this complex disease.
Some may argue that
UMOD is likely not associated with IgA nephropathy as GWAS did not demonstrate an association between IgAN and common variants of
UMOD[
10,
11]. However, such GWAS included various stage of biopsy-proven IgAN, such as the GWAS of Gharavi et al. including a majority of stage I and II CKD IgAN cases from Asian and Caucasian ancestry [
10]. These large studies are underpowered to detect a large effect size of
UMOD variant rs12917707 in the subgroup of Caucasian patients with severe IgAN (CKD V).
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
MD carried out the molecular genetic study, carried out the genotyping assays, participated in the design of the study, performed the statistical analysis and drafted the manuscript. LG carried out the molecular genetic study, participated in the design of the study, performed the statistical analysis and drafted the manuscript. JR performed the statistical analysis. LT, PG, ME, YLM, CN, GT and PM contributed to the creation of DNA collection. ZA contributed to the creation of DNA collection and carried out the genotyping assays. CM contributed to the creation of DNA collection and drafted the manuscript. DA conceived of the study, participated in its design and coordination, and drafted the manuscript. MA and EA conceived of the study, participated in its design and coordination, and drafted the manuscript. All authors read and approved the final manuscript.