Abstract
Purpose
A region of chromosome 22 which includes APOL1 and MYH9 genes was recently identified as a risk locus for non-diabetic forms of kidney disease, including idiopathic and HIV-associated focal segmental glomerular sclerosis and kidney disease clinically attributed to hypertension among African Americans. The purposes of the current study were, therefore, to examine the frequency of these variants and to determine whether they are associated with chronic kidney disease (CKD) among native Africans.
Methods
To investigate the possible evidence of association between variants in these genes and non-diabetic CKD among West Africans, we performed a case/control analysis in a sample of 166 Nigerians without history of European admixture. Our study included a total of 9 variants on APOL1 (n = 4) and MYH9 (n = 5) genes.
Results
We observed significantly strong associations with previously reported APOL1 variants rs73885319 and rs60910145, and their two-allele “G1” haplotype (P < 0.005). We did not observe significant evidence of association between non-diabetic CKD and any of the MYH9 variants or haplotypes after accounting for multiple testing in our sample.
Conclusions
In conclusion, APOL1 risk variants are associated with non-diabetic forms of CKD among Nigerians of Yoruba ethnicity. Further information on APOL1/MYH9 variants may lead to screening programs, which could lead to earlier detection and interventions for non-diabetic kidney disease.
Keywords: Chronic kidney disease, APOL1, MYH9, Genetic renal disease
Introduction
The lifetime risk of end-stage kidney disease (ESKD) among African Americans is threefold higher than that among whites [1]. Differences in access to care and other socioeconomic factors do not entirely account for the markedly higher rates of ESKD among African Americans which suggests a possible role for genetic factors [1–6]. Recently, a region of chromosome 22, which includes APOL1 and MYH9 genes, was identified using mapping by admixture disequilibrium as a risk locus for non-diabetic forms of kidney disease, including idiopathic and HIV-associated focal segmental glomerular sclerosis (FSGS) and kidney disease clinically attributed to hypertension [7–9]. Genetic variants in the region show very strong associations with non-diabetic kidney disease. Specifically, a two-allele haplotype termed “G1” consisting of two non-synonymous coding variants rs73885319 (S342G) and rs60910145 (I384M) along with rs71785313—a 6 base pair deletion termed “G2” and close to G1 in exon 5 of APOL1 [10, 11]—is likely to account for the majority of risk of non-diabetic kidney disease associated with the variants in this region, but the role of MYH9 variants in non-diabetic kidney disease risk remains controversial [7]. Regardless, variants in the region are more common in individuals of African descent compared with those of European descent [10, 11]. The fact that these variants are absent or less common in other populations has been used to explain the non-replication of these associations in non-African descent populations. The purposes of the current study were, therefore, to examine the frequency of these variants and to determine whether they are associated with CKD among native Africans.
Subjects and methods
Study participants and phenotype measurements
The source population for both cases and controls was participants in the Genetics of Hypertension in Blacks study, an ongoing project examining genetic variants for blood pressure among adults from the Yoruba tribe. Participants in the current analyses included 88 and 81 adults with and without non-diabetic kidney disease, respectively. Participants were recruited from the University College Hospital General Medicine and Nephrology clinics, University of Ibadan, Nigeria. The project was reviewed and approved by the Institutional Review Board at the Loyola University Chicago Stritch School of Medicine, Maywood, IL and the Joint Ethical Committee of the University of Ibadan/University College Hospital, Ibadan, Nigeria. The consent process was presented in English or Yoruba, and written informed consent was obtained from all participants.
Cases were defined as individuals of the Yoruba tribe aged 16–70 years with all stages of chronic kidney disease (CKD) of at least 3 months duration who met criteria for non-diabetic CKD clinically associated with long-standing hypertension, or CKD in the presence of proteinuria (Proteinuric CKD) or CKD associated with HIV. Proteinuric CKD was defined as presence of spot urine protein/creatinine ≥2 g/g in the absence of red blood cell (RBC) casts or hematuria on urine microscopy or urinalysis and absence of known causes for CKD such as parasitic or other infections or diabetes. Clinically diagnosed hypertension-associated CKD was based on history or clinical evidence of long-standing hypertension (e.g., electrocardiogram evidence of left ventricular hypertrophy) and a spot urine protein/creatinine ratio <2 g/g, in the absence of other known causes for CKD, consistent with the African American Study of Kidney Disease criteria [12]. CKD associated with HIV was defined as a positive HIV test and absence of other known causes for CKD including diabetes and parasitic diseases. Women who were pregnant, persons with diabetes mellitus, sickle cell disease, hepatitis B or C, acute kidney injury, or other terminal illnesses such as cancer were excluded. Individuals with CKD were recruited by nephrologists at the University College Hospital. Patients were evaluated by physicians in the Nephrology clinic. The clinical exam and laboratory studies included three serial blood pressure measurements using an automated device (Omron HEM-412C) previously evaluated in our field settings [13], anthropometric measures, a complete blood count and metabolic panel, electrocardiogram (ECG), testing for HIV and hepatitis B, urinalysis with microscopy and a bilateral kidney ultrasound when possible. All laboratory analyses in cases were completed at the University College Hospital Laboratory as part of routine clinical workup.
Controls consisted of normotensive individuals (BP < 140/90 in the absence of anti-hypertensive medication use) of the Yoruba tribe without evidence of kidney disease (serum creatinine <1.4 and <1.2 mg/dl in men and women, respectively, and spot urine albumin/creatinine ratio <30 mg/g). All controls had standardized physical exams including three serial blood pressure measurements using the same device as used for the cases; fasting blood samples and a spot urine specimen were also obtained. Serum creatinine was measured in the control specimens at Fairview Laboratory in Minnesota by rate reflectance spectrophotometry using thin film adaptation of the creatinine amidinohydrolase method on the Vitros analyzer (Johnson and Johnson Clinical Diagnostics, Rochester, NY). The laboratory analytic coefficient of variation was 2.2 %.
Genotyping and quality assessment
Genotyping was carried out on genomic DNA from 88 non-diabetic CKD subjects and 81 non-CKD subjects randomly selected from among the controls described above. The genotyping was performed at the Charles R. Bronfman Institute for Personalized Medicine (Mount Sinai School of Medicine, New York, NY), using a custom Fluidigm™ 96.96 array platform and ABI TaqMan SNP genotyping assays. The assays were originally selected for 96 published disease-associated single nucleotide polymorphisms (SNPs) and included 4 SNPs on APOL1 and 6 SNPs on MYH9 genes which have been reported to be associated with kidney disease. The assays also included variants associated with liver disease, type 2 diabetes or drug response. Standard quality control procedures were applied to the genotype data using all SNPs on the chip. As part of the procedures, 3 samples (1 case and 2 controls) and 2 SNPs with proportion of missing genotypes greater than 0.1 were filtered out. We also filtered out SNPs with minor allele frequency less than 0.05 (n = 23) or failing Hardy–Weinberg equilibrium test at 0.01 (n = 3). The final 68 SNPs that passed quality control included 9 of the 10 APOL1/MYH9 variants. Since the objective of the current analysis was to examine the association between previously reported kidney disease–associated SNPs and CKD in a sample of Nigerians, subsequent screening for associations with CKD was therefore restricted to just the variants on APOL1 (rs9622363, rs73885319, rs60910145 and rs71785313) and MYH9 (rs11912763, rs2032487, rs4821481, rs5750248 and rs5750250) genes.
Statistical analyses
To test for associations between CKD status and each single SNP, we fitted logistic regression models in which each SNP was presented as a predictor variable whose values were equal to the number of copies of the minor allele (0, 1, 2) (i.e., additive mode), or presence of at least one copy of the minor allele (0, 1) (i.e., dominant mode) or presence of two copies of the minor allele (0, 1) (i.e., recessive mode). The fitted model, which included sex and age as covariates, can be represented as: logit[pr(D = 1)] = α + β 1 G + β 2 sex + β 3 age, where D denotes CKD affection status; G denotes SNP coded as additive, dominant or recessive; β denotes the corresponding coefficient for each variable in the model (SNP, sex or age), and its exponential is the corresponding odds ratio. To account for multiple comparisons, the statistical significance of each association test was empirically derived by permuting the data set 10,000 times.
To explore the possible associations between CKD status and various joint allelic configurations of multiple SNPs, we performed haplotype association analysis of the APOL1 and MYH9 SNPs. We used the software Haploview [14] to compute the estimates of linkage disequilibrium (LD) for each pair of SNPs by the standard D-prime method[15] and to determine the haplotype blocks—regions with no evidence of historical recombination events, but significant level of LD. The haplotype blocks were defined by the four-gamete test [16, 17] as implemented in Haploview. Analysis included all haplotypes with frequencies of at least 10 % within the constructed blocks and also the two-allele haplotypes consisting of rs73885319 and rs60910145 that included G1. All the haplotypes were individually tested for association with CKD by using logistic regression models as described above for tests of genotype association. Age and gender were adjusted for in each haplotype–phenotype analysis.
Results
After excluding participants whose genotype data did not pass quality control, the study sample consisted of a total of 166 subjects (87 cases and 79 controls). The descriptive characteristics of the cases and controls are presented in Table 1. Among both cases and controls, approximately half were women. On average, the CKD subjects tended to be older (42.1 vs. 35.2 years), heavier (23.2 vs. 21.9 kg/m2) and have higher blood pressure (systolic: 136.6 vs. 111.6 mm Hg) when compared with the non-CKD controls. Among the 87 CKD subjects, the physician-reported diagnosis of kidney disease was proteinuric CKD in 35 (40.2 %), HIV nephropathy in 8 (9.2 %) and clinically attributed hypertensive CKD in 44 (50.5 %). All the CKD subjects had a negative hepatitis B surface antigen test within 30 days of enrollment in the study. All but 3 cases had stage 5 CKD (1 with proteinuric CKD and 2 with CKD clinically attributed to hypertension.
Table 1.
Descriptive characteristics of study subjects
| Non-diabetic CKD cases (N = 87) | Controls (N = 79) | All (N = 166) | |
|---|---|---|---|
| No. of females (%) | 41 (47 %) | 39 (49 %) | 80 (48 %) |
| Age (years)† | 42.1 ± 16.9 | 35.2 ± 8.2 | 38.8 ± 13.9 |
| Body weight (kg) | 61.6 ± 11.1 | 59.8 ± 10.8 | 60.8 ± 11.0 |
| Height (m) | 1.6 ± 0.1 | 1.7 ± 0.1 | 1.6 ± 0.1 |
| Body mass index (kg/m2) | 23.2 ± 4.6 | 21.9 ± 4.2 | 22.6 ± 4.4 |
| Systolic blood pressure (mm Hg)† | 136.6 ± 31.0 | 111.6 ± 10.0 | 124.7 ± 26.6 |
| Diastolic blood pressure (mm Hg)† | 88.1 ± 20.7 | 66.9 ± 6.1 | 78.0 ± 18.8 |
CKD chronic kidney disease
Data presented as mean± standard deviation
†Values are significantly different (P < 0.05) between cases and controls
The frequencies of the risk allele of the 9 APOL1/MYH9 variants among the cases and controls are listed in Table 2. In the current analyses, the coded alleles are the same as the minor alleles of the variants. For any variant with reported odds ratio (OR) greater than 1.0, the coded minor allele is also the risk or disease susceptibility allele. As would be expected, coded risk alleles tended to be more frequent in cases than in controls, for example, 0.442 versus 0.266 and 0.500 versus 0.301 for rs73885319 and rs60910145, respectively. The variant rs71785313, which is an APOL1 insertion/deletion, had the least frequent minor allele (0.105) in both cases and controls. Results of the covariate-adjusted case/control analyses are also presented in Table 2 for additive, dominant and recessive genetic modes of association. We observed significant associations for two APOL1 SNPs—rs73885319 and rs60910145 under all three genetic modes of association. Both variants have larger effects under the recessive mode (odds ratios: 3.85 and 3.12 for rs73885319 and rs60910145, respectively) when compared with the additive or dominant mode. The two variants are in almost perfect linkage disequilibrium (D-prime = 1.00, r 2 = 0.82) and as such, when adjusted for either one, the association for the other disappeared.
Table 2.
SNP associations with non-diabetic chronic kidney disease in 87 cases and 79 controls
| SNP | Gene | Alleles | Coded (minor) allele (frequency, %) | HWE P value | Coded allele frequency (%) | Association mode | OR (95 % CI) | P value | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Cases | Controls | Unadjusted | Corrected‡ | |||||||
| rs9622363 | APOL1 | A/G | A (27.71) | 0.788 | 25.86 | 29.75 | Additive | 0.76 (0.45–1.31) | 0.326 | 0.875 |
| Dominant | 0.88 (0.47–1.66) | 0.695 | 0.999 | |||||||
| Recessive | 0.24 (0.05–1.29) | 0.097 | 0.377 | |||||||
| rs73885319 | APOL1 | A/G | A (35.76) | 1.000 | 44.19 | 26.58 | Additive | 2.29 (1.39–3.77) | 0.001 | 0.005 |
| Dominant | 2.59 (1.34–5.00) | 0.005 | 0.025 | |||||||
| Recessive | 3.85 (1.31–11.36) | 0.015 | 0.038 | |||||||
| rs60910145 | APOL1 | G/T | G (40.61) | 0.114 | 50.00 | 30.13 | Additive | 2.04 (1.32–3.17) | 0.001 | 0.006 |
| Dominant | 2.54 (1.31–4.92) | 0.006 | 0.034 | |||||||
| Recessive | 3.12 (1.35–7.20) | 0.008 | 0.015 | |||||||
| G2: rs71785313 | APOL1 | D/I | D (10.54) | 1.000 | 8.62 | 12.66 | Additive | 0.61 (0.29–1.31) | 0.207 | 0.701 |
| Dominant | 0.64 (0.29–1.40) | 0.263 | 0.816 | |||||||
| Recessive | NE | NE | NE | |||||||
| rs11912763 | MYH9 | A/G | A (33.13) | 1.000 | 38.51 | 27.22 | Additive | 1.68 (1.02–2.76) | 0.040 | 0.197 |
| Dominant | 2.03 (1.06–3.87) | 0.032 | 0.183 | |||||||
| Recessive | 1.70 (0.58–4.94) | 0.334 | 0.872 | |||||||
| rs2032487 | MYH9 | T/C | T (22.12) | 0.770 | 18.39 | 26.28 | Additive | 0.68 (0.40–1.16) | 0.157 | 0.580 |
| Dominant | 0.64 (0.33–1.23) | 0.177 | 0.645 | |||||||
| Recessive | 0.55 (0.14–2.22) | 0.400 | 0.934 | |||||||
| rs4821481 | MYH9 | T/C | T (22.29) | 0.777 | 18.39 | 26.58 | Additive | 0.66 (0.39–1.13) | 0.132 | 0.532 |
| Dominant | 0.61 (0.32–1.18) | 0.143 | 0.583 | |||||||
| Recessive | 0.55 (0.14–2.24) | 0.407 | 0.940 | |||||||
| rs5750248 | MYH9 | C/T | C (30.72) | 1.000 | 25.86 | 36.08 | Additive | 0.61 (0.37–0.99) | 0.047 | 0.225 |
| Dominant | 0.56 (0.29–1.05) | 0.071 | 0.354 | |||||||
| Recessive | 0.46 (0.15–1.41) | 0.176 | 0.627 | |||||||
| rs5750250 | MYH9 | A/G | A (31.82) | 0.635 | 26.16 | 37.97 | Additive | 0.56 (0.34–0.94) | 0.027 | 0.141 |
| Dominant | 0.51 (0.27–0.97) | 0.040 | 0.208 | |||||||
| Recessive | 0.44 (0.14–1.38) | 0.157 | 0.576 | |||||||
Adjusted for age and gender
SNPs single nucleotide polymorphisms, HWE Hardy–Weinberg equilibrium, OR odds ratio, CI confidence interval, NE not estimated
‡ P values corrected for multiple comparisons
The haplotype blocks formed by the APOL1/MYH9 variants are displayed in Fig. 1. There were two blocks consisting of three APOL1 SNPs and four MYH9 SNPs, respectively. Two SNPs, rs71785313 on APOL1 and rs11912763 on MYH9, were not included in any of the blocks. The APOL1 block thus included rs9622363, rs73885319 and rs60910145, and the MYH9 block included rs2032487, rs4821481, rs5750248 and rs5750250. There were a total of five haplotypes each with a frequency of at least 0.10 (Fig. 1). The results of the covariate-adjusted haplotype associations are presented in Table 3. We also present the results for the two-allele haplotypes of rs73885319 and rs60910145 that included the previously reported G1 haplotype. Haplotype frequencies ranged between 0.217 and 0.675 in the study sample. The association results indicate that the G–A–G haplotype of the APOL1 SNPs (rs9622363–rs73885319–rs60910145) is a significant risk factor for CKD under any mode of association. The ORs are 2.26 (p = 0.005), 2.54 (p = 0.023) and 3.79 (p = 0.041) for the additive, dominant and recessive modes of association, respectively, after correction for multiple comparisons. Similarly, the two-allele haplotypes of rs73885319 and rs60910145 otherwise termed G1, demonstrated strong levels of association with CKD. The ORs for the G1:rs73885319–rs60910145 (A–G) haplotype are 2.25 (p = 0.006), 2.52 (p = 0.025) and 3.80 (p = 0.041) for the additive, dominant and recessive modes of association, respectively. The crude association [OR, 2.67(95 % CI, 0.79–8.97)] with the compound risk heterozygote state among subjects heterozygous (10 cases and 5 controls) for both the G1:A–G and G2:D risk alleles and subjects (21 cases and 28 controls) without any of the risk alleles was not significant (P = 0.143). On the other hand, the G–T haplotype of G1:rs73885319–rs60910145 indicated significant protective association with CKD under the additive (OR = 0.49, p = 0.005), dominant (OR = 0.40, p = 0.025) and recessive (OR = 0.32, p = 0.014) modes. The implication of this is a significantly high CKD risk for those carrying zero copies of the G1:G–T haplotype—with an OR as high as 3.13 (p = 0.014). We did not observe significant evidence of association between any of the MYH9 haplotypes and CKD after accounting for multiple testing (Table 3).
Fig. 1.
Plot of linkage disequilibrium between SNPs in APOL1/MYH9 region (top) and their haplotypes (bottom)
Table 3.
Haplotype associations with non-diabetic chronic kidney disease in 87 cases and 79 controls
| SNP combination | Haplotype | Haplotype frequencies (%) | Association mode | OR (95 % CI) | P value | |||
|---|---|---|---|---|---|---|---|---|
| Cases | Controls | All | Unadjusted | Corrected‡ | ||||
| APOL1 SNPs | ||||||||
| rs9622363 | rs73885319 | rs60910145 | G–A–G | 44.25 | 26.92 | 35.81 | Additive | 2.26 (1.37–3.73) | 0.001 | 0.005 |
| Dominant | 2.54 (1.31–4.92) | 0.006 | 0.052 | |||||
| Recessive | 3.79 (1.28–11.20) | 0.016 | 0.024 | |||||
| rs9622363 | rs73885319 | rs60910145 | A–G–T | 25.29 | 30.13 | 27.41 | Additive | 0.72 (0.42–1.23) | 0.231 | 0.641 |
| Dominant | 0.81 (0.43–1.53) | 0.524 | 0.392 | |||||
| Recessive | 0.24 (0.05–1.27) | 0.093 | 0.983 | |||||
| rs9622363 | rs73885319 | rs60910145 | G–G–T | 24.71 | 39.74 | 32.16 | Additive | 0.58 (0.37–0.90) | 0.015 | 0.063 |
| Dominant | 0.49 (0.26–0.93) | 0.028 | 0.215 | |||||
| Recessive | 0.41 (0.16–1.03) | 0.057 | 0.134 | |||||
| G1: rs73885319 | rs60910145 | A–G | 44.19 | 26.92 | 35.98 | Additive | 2.25 (1.36–3.71) | 0.002 | 0.005 |
| Dominant | 2.52 (1.30–4.88) | 0.006 | 0.051 | |||||
| Recessive | 3.80 (1.29–11.22) | 0.016 | 0.026 | |||||
| G1: rs73885319 | rs60910145 | G–T | 50.00 | 69.87 | 59.45 | Additive | 0.49 (0.32–0.76) | 0.001 | 0.005 |
| Dominant | 0.32 (0.14–0.73) | 0.007 | 0.018 | |||||
| Recessive | 0.40 (0.21–0.77) | 0.006 | 0.031 | |||||
| MYH9 SNPs | ||||||||
| rs2032487 | rs4821481 | rs5750248 | rs5750250 | T–T–C–A | 17.24 | 26.58 | 21.67 | Additive | 0.62 (0.36–1.07) | 0.083 | 0.302 |
| Dominant | 0.57 (0.29–1.09) | 0.091 | 0.899 | |||||
| Recessive | 0.50 (0.11–2.16) | 0.352 | 0.373 | |||||
| rs2032487 | rs4821481 | rs5750248 | rs5750250 | C–C–T–G | 72.41 | 62.03 | 67.45 | Additive | 1.66 (1.01–2.74) | 0.046 | 0.184 |
| Dominant | 2.16 (0.71–6.60) | 0.176 | 0.299 | |||||
| Recessive | 1.80 (0.95–3.42) | 0.073 | 0.609 | |||||
Adjusted for age and gender
OR odds ratio, SNPs single nucleotide polymorphisms, CI confidence interval
‡ P values corrected for multiple comparisons
Discussion
In this study, we report the findings from a case/control association analysis of non-diabetic chronic kidney disease and variants in APOL1 and MYH9 genes in an African sample from southwest Nigeria. APOL1 and MYH9 variants are associated with non-diabetic CKD among African Americans [7–9, 11, 18, 19] and Hispanic Americans [20]. The purpose of our study was to investigate the possible evidence of association between these variants and non-diabetic CKD in a sample of Africans of the Yoruba tribe without history of European admixture. We replicated association with APOL1 gene variants previously reported among African Americans and Hispanic Americans [10, 11]. We observed significant associations with two APOL1 variants and their haplotypes. The strength of the association between the two-allele haplotype of APOL1 variants rs60910145 and rs73885319 (G1) and non-diabetic CKD in the current study is about half of the sevenfold-increased odds of hypertensive kidney disease reported among African Americans carrying multiple copies of APOL1 risk alleles [10]. Stronger associations have been reported with HIV nephropathy [11, 19]. Since sample size only affects statistical significance of estimates and not the strength of the estimates, the apparent attenuation of the observed association when compared to previous findings among African Americans cannot be attributed to sample size. To confirm this, we investigated how much power the current study had to detect significant association between a variant with risk allele frequency at least similar to that observed for G1:A–G (i.e., 0.360), a genetic effect of at least 3.0 under a population risk of 0.00001. Using the software QUANTO[21], we estimated that the current study has at least 80 % power to detect association under recessive mode and over 90 % power under dominant or additive mode.
We noted that the risk allele in the current sample is different for rs73885319 than previously reported [11]. It should be noted that risk allele frequencies for this variant have been observed to differ substantially across African populations [11]. In an African population sample set consisting of 676 samples from 12 African populations that included Cameroon (2 ethnic groups), Congo, Ethiopia (4 ethnic groups), Ghana (2 ethnic groups), Malawi, Mozambique and Sudan, Tzur et al. [11] observed that risk allele frequencies differ between groups from same country and also across the populations. In the Bulsa and Asante populations of Ghana, the frequencies are respectively 0.11 and 0.41, whereas for the Ethiopian groups the frequencies were zero. It is possible that non-diabetic kidney disease risk is not mediated by this variant but rather by other alleles in linkage disequilibrium with the variant or the haplotype G1. As for MYH9, we did not find significant association between non-diabetic CKD and any variant or haplotype after correction for multiple testing. A previous study indicated that G1 and G2 are in strong LD with variants in MYH9 [10], and most of the association previously attributed to MYH9 variants or haplotypes with CKD is explained by LD with APOL1 variant rs73885319 [10, 11]. In the present study, we observed reduction in the strength of CKD association with MYH9 variants when we accounted for the APOL1 variants by conditioning on either rs73885319 or rs60910145 in the regression models fitted for each of the MYH9 variants. We note that the observed low LD (r 2 ≤ 0.12) between APOL1 and MYH9 variants in our study sample may have contributed to the observed non-significant association of MYH9 variants with CKD.
Among African Americans, the frequency of the APOL1 risk allele is around 0.33 with the high-risk genotype frequency being about 0.11 [22]. Previous studies have reported strong associations with APOL1 risk alleles G1 (rs73885319 and rs60910145) and G2 (rs71785313) in an autosomal recessive fashion. Inheritance of 2 APOL1 risk alleles (G1 and G1, G1 and G2, or G2 and G2) increases the risk of non-diabetic kidney disease by over sevenfold. For HIV nephropathy, associations may exceed 30-fold [22]. In this study, we noted a fairly strong association between the G1 risk allele in a recessive model but no association was noted between G2 and non-diabetic kidney disease. This is likely due, in part, to the effect of sample size and the observed low minor allele frequency for G2. It is also possible that differences in the association between APOL1 variants and CKD in this study could, in part, be due to misclassification of cases or gene × environment interactions but these interpretations remain speculative.
In this study, the strength of the associations between 2 SNPs included in the MYH9 E1 risk haplotype and non-diabetic kidney disease, though not significant after adjusting for multiple comparisons, was similar to associations reported in cases with end-stage kidney disease clinically attributed to hypertension [18]. The MHY9 E1 risk haplotype consists of 4 SNPs (rs4821480, rs2032487, rs4821481 and rs3752462); robust associations have been documented in several studies between the E1 haplotype and non-diabetic kidney disease including idiopathic and HIV-associated FSGS and CKD clinically attributed to hypertension [8, 9, 18, 20]. APOL1 variants are in strong linkage disequilibrium with MYH9 variants [7], and it remains controversial whether MYH9 variants play a direct role in kidney disease risk [23, 24].
Due to limited resources and poor access to healthcare for non-urban areas of Nigeria, many patients who present for diagnostic workup and treatment of kidney disease do not undergo kidney biopsy in Ibadan. Diagnosis is typically based on patient’s history, physical exam and laboratory testing. Misclassification of kidney disease is likely in this sample. However, diabetes prevalence is very low in Nigeria [25, 26], and patients with evidence of diabetic kidney disease as determined by the treating physician were excluded from participation in study. The small sample size limited the ability to determine associations with specific types of CKD such as hypertensive CKD or focal segmental glomerulosclerosis. However, even with the small sample, fairly strong associations were noted with APOL1 variants and the haplotype G1. The associations between APOL1 variants and non-diabetic CKD among Nigerians of the Yoruba tribe demonstrate that the impact of these genetic factors on CKD risk appear to be independent of the environment. Diet, lifestyle and social structure are dramatically different in Nigeria compared to the United States and other industrialized countries. Hypertension, diabetes and obesity prevalence are markedly lower in Nigeria compared to the African American population [25–29]. Despite these differences, APOL1 variants are associated with non-diabetic CKD in this population.
The discovery of the APOL1/MYH9 chromosomal 22 region as a region harboring genetic variants for non-diabetic CKD risk may be very important. It is possible that further delineation of the role of MYH9 and APOL1 variants may lead, in the future, to improved screening programs, prevention strategies and clinical interventions for CKD, one of the most common end-organ causes of morbidity and mortality worldwide. The perceived public health importance of these genetic variants is demonstrated by a patent application by the National Institutes of Health for these variants [30]. This study demonstrates that these variants are also operative for non-diabetic kidney disease risk among Nigerians of the Yoruba tribe. Data suggest that the G1 and G2 variants in the APOL1 region emerged in this population several thousand years ago as a result of conferring protection from Trypanosoma brucei rhodesiense [10, 31], a story very similar to the rise in frequency of the sickle cell trait as a result of resistance to certain forms of malaria [32].
Conclusions
In conclusion, APOL1 risk variants are associated with non-diabetic forms of CKD among Nigerians of Yoruba ethnicity. Further information on APOL1/MYH9 variants may lead to screening programs which could lead to earlier detection and interventions for non-diabetic kidney disease.
Acknowledgments
This research was supported in part by NIH grant RO1 HL053353 and by The Andrea and Charles Bronfman Philantropies. We would like to thank our participants from Ibadan, Nigeria, for their willing participation in the “Genetics of Hypertension in Blacks” project.
Conflict of interest
All the authors declare that they have no competing interests.
Open Access
This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
Footnotes
An erratum to this article is available at http://dx.doi.org/10.1007/s11255-014-0853-4.
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