Abstract
The T-786C, Glu298Asp, and 27 bp variable number of tandem repeats (27 bp-VNTR-a/b) polymorphsims of the endothelial nitric oxide synthase (eNOS) gene are thought to alter nitric oxide production and contribute to the development of vascular and renal disease risk. The objective of this study is to investigate whether these three polymorphisms examined previously by others are associated with cardiovascular and renal disease risk in Mexican Americans. Study participants (N = 848; 21 families) were genotyped for T-786C, Glu298Asp, and 27 bp-VNTR-a/b polymorphisms by PCR followed by restriction digestion. Association analyses were performed by a measured genotype approach implemented in the program SOLAR. Of the phenotypes (type 2 diabetes, hypertension, body mass index, waist circumference, total cholesterol, high density lipoprotein cholesterol, triglycerides, systolic and diastolic blood pressure, albumin to creatinine ratio (ACR), and estimated glomerular filtration rate) examined for association, the 27 bp-VNTR-a/b variant exhibited statistically significant association with ACR (P = 0.047) after accounting for the trait specific covariate effects. In addition, the promoter variant (T-786C) showed a significant association with triglycerides (P = 0.034) after accounting for covariate influences. In conclusion, the present study adds evidence to the role of eNOS candidate gene polymorphisms in modulating the risk factors related to cardiovascular-renal disease in Mexican Americans although the magnitude of the genetic effect is small.
Keywords: eNOS, Genetic polymorphisms, Association analyses, ACR, Triglycerides, Mexican Americans
Introduction
Nitric oxide (NO) is a gaseous free radical and an important molecular mediator of many physiologic processes in virtually every organ. Endothelium-derived NO is produced from l-arginine by endothelial nitric oxide synthase (eNOS). Impaired NO production has been implicated in the pathogenesis of several diseases. The gene encoding eNOS is located on human chromosome 7q36, a genetic region previously linked to the metabolic syndrome, cardiovascular and renal disease risk factors [1–3]. Due to the importance of NO production in the endothelium and its regulation of vascular and renal function [4, 5], the eNOS gene has been considered as a logical target for DNA sequence variations that may contribute to the pathophysiology of cardiovascular and renal diseases. Of the polymorphisms thus far identified in the eNOS locus, a T to C single nucleotide polymorphism (SNP) in the promoter region (T-786C, rs2070744), a G to T SNP in exon 7 (Glu298Asp, rs1799983), and a 27 bp variable number of tandem repeats (27 bp-VNTR-a/b) in intron 4, have gained recent attention. The functional effect of these polymorphisms is thought to be a reduction in NO production (27 bp-VNTR-a/b) [6] through reduced mRNA expression (T-786C) [7] or altered eNOS function (Glu298ASP) [8].
Because, the polymorphisms identified in eNOS are thought to affect NO production, several epidemiological studies investigated whether the T-786C, G/T (Glu298Asp) and 27 bp-VNTR-a/b polymorphisms affect cardiovascular and renal disease possibly by altered NO availability [9]. Furthermore, the association results, which are controversial, have been mostly conducted in Caucasians and Asians. Therefore, in the present study, we investigated the effects of these variants on individual’s susceptibility to type 2 diabetes as well as to risk factors related to cardiovascular and renal diseases in a cohort of Mexican American subjects.
Materials and methods
Subjects and phenotypic data
The San Antonio Family Heart Study (SAFHS) family member recruitment and data collection procedures from more than 40 extended families were described previously [10]. Briefly, probands for the SAFHS were selected randomly from a census tract in San Antonio of low-income Mexican Americans regardless of preexisting medical conditions. A variety of metabolic, hemodynamic, anthropometric, and demographic variables were collected from more than 40 extended Mexican American families [10]. Although a total of 1,400 patients were recruited for SAFHS from 40 families, kidney-related phenotypic data were available for only 848 participants from 21 families, who came to the clinic during their 3rd visit. Therefore, this study involves the 848 subjects from 21 families for whom genotypic and phenotypic data are available. Estimation of glomerular filtration rate (eGFR) by the modification of diet in renal disease (MDRD) equation, and albumin to creatinine ratio (ACR) has already been described [11]. The quantitative trait values were inverse-normalized and used in the association analyses since their raw data were non-normally distributed. The Institutional Review Board of the University of Texas Health Science Center at San Antonio approved all procedures, and all subjects gave informed consent.
Genetic variants genotyping
T-786C promoter polymorphism of eNOS
The genotypes of T-786C (rs2070744) polymorphism located in the 5′ flanking region of eNOS was determined by standard PCR followed by restriction digestion using the following primers: 5′-TGG AGA GTG CTG GTG TAC CCC A-3 (forward) and 5′-GCC TCC ACC CCC ACC CTG TC-3 (reverse). The amplified products of 180 bp were digested with Msp I (New England Biolabs, MA, USA) at 37°C producing fragments of 140 and 40 bp for the T allele, or fragments of 90, 50, and 40 bp for C allele. Fragments were separated by 2% agarose gel electrophoresis containing ethidium bromide and visualized under UV light.
Glu298Asp polymorphism in exon 7
Genotypes of G/T (Glu298Asp; rs1799983) polymorphisms in exon 7 of eNOS were determined by PCR followed by restriction digestion using the following primers 5′-AAG GCA GGA GAC AGT GGA TGG A-3 (forward) and 5′-CCC AGT CAA TCC CTT TGG TGC TCA-3 (reverse). The PCR products were restricted by the enzyme Ban II (New England Biolabs, MA, USA). The Ban II digestion of the 248 bp PCR amplicon produces 163 bp and 85 bp products for the G (Glu298) allele, but fails to cleave the 248 bp fragment containing the T (Asp298) allele. Restricted products were separated on 2% agarose gel electrophoresis.
27 bp-VNTR polymorphism in intron 4
The 27-VNTR polymorphism in intron 4 was determined by standard PCR amplification using the primers 5′-AGG CCC TAT GGT AGT GCC TTT-3 (forward) and 5′-TCT CTT AGT GCT GTG GTC AC-3 (reverse). The genotypes were determined by fragments visualized in 3% agarose gel. The wild type allele (five copies of 27 bp repeats—b allele) generated a 420 bp band and the mutant allele (four copies of 27 bp repeats—a allele) generated 393 bp band.
In order to assure accuracy of the genotyping, coded blind replicate samples (10%) were included in each assay. Genotypic data with 0% of genotyping error and 0% of inheritance error were subjected to statistical association analyses.
Statistical association analyses
The genotypic data were checked for Mendelian pedigree inconsistencies using the program INFER and GENTEST as implemented in PEDSYS [12]. Association analysis in our family data was carried out using the measured genotype approach (MGA) within the variance components analytical framework [13]. A P value ≤ 0.05 is considered significant. Based on the number of participants, there is 83% power to detect an association that accounts for as little as 1% of the phenotypic variation. Prior to performing MGA, the quantitative transmission disequilibrium test (QTDT) was used to examine hidden population stratification [14]. All statistical techniques described above were implemented in the program SOLAR [13].
Results and discussion
The clinical characteristics of the genotyped individuals (N = 848) are shown in Table 1. The mean age of study participants (N = 848; 21 large families) was 45 years, and 61% were females. Of the examined individuals from 21 families, 52%, 22%, and 14% had hypertension, T2DM, and albuminuria, respectively. Genotypic data of T-786C, Glu298Asp, and 27 bp-VNTR-a/b variants were consistent with the Hardy–Weinberg Equilibrium expectations. In order to protect against potential effects of hidden population stratification, we performed the QTDT [14]. This approach permits a formal test of likely population heterogeneity on a marker-specific basis [15]. Using this approach, we found no evidence for such population stratification or admixture factor. Additionally, the results of the QTDT analyses were consistent with the more powerful measured genotype analyses. Allele and genotypic frequencies for T-786C, G/T (Glu298Asp), and 27 bp-VNTR-a/b are presented in Table 2.
Table 1.
Variables | Mean ± SD or % |
---|---|
Females | 63 |
Type 2 diabetes | 22 |
Age (years) | 47.9 ± 14.8 |
Systolic blood pressure (mm Hg) | 124.4 ± 19.0 |
Diastolic blood pressure (mm Hg) | 69.8 ± 10.3 |
Body mass index (kg/m2) | 31.8 ± 7.2 |
Total cholesterol (mg/dl) | 180.6 ± 38.5 |
High density lipoprotein-cholesterol (mg/dl) | 48.2 ± 13.6 |
Triglycerides (mg/dl) | 129.2 ± 86.6 |
Albumin to creatinine ratio (ACR) | 0.06 ± 0.3 |
Sample size varies from 780 (ACR) to 848 (Age)
Table 2.
Polymorphisms | Major/minor allele (%) | Genotype (%) | ||
---|---|---|---|---|
T (−786) C | T (78)/C (22) | TT (59) | TC (34) | CC (7) |
27 bp-VNTR—a(4 repeats)/b(5 repeats) | b (91)/a (9) | bb (84) | ab (15) | aa (1) |
G/T (Glu298Asp) | G (82)/T (18) | GG (63) | GT (31) | TT (6) |
VNTR Variable number of tandem repeats
Before performing statistical association analysis, we estimated the pairwise linkage disequilibrium (LD; r2) between all the three variants. The pairwise LD between variants ranged from 0 to 0.25 and the highest pairwise LD found among the eNOS SNPs were T-786C—G/T (Glu298Asp; r2 = 0.25), 27 bp-VNTR—G/T (Glu298Asp r2 = 0.03), T-786C—27 bp-VNTR (r2 = 0.004). Of the cardiovascular and renal-related risk factors [T2DM, body mass index, blood pressure measures, total cholesterol, high density lipoprotein-cholesterol, eGFR, TGL, and ACR] examined for association, the 27 bp-VNTR-a/b variant exhibited a statistically significant association only with ACR (P = 0.047) after adjusting for the covariate effects of age, sex, diabetes, duration of diabetes, systolic blood pressure, and antihypertensive medications (Table 3). Our results are consistent with several reports that the 27 bp repeat polymorphism significantly predicted different forms of renal disease including end stage renal disease [16–21]. Average values for the phenotypes of ACR and TGL were estimated for the individuals with no risk allele and all three risk alleles. The average ACR values with no risk allele and all three risk alleles were 0.001 and 0.07, respectively. The average TGL values with no risk allele and all three risk alleles were 73.5 and 131.3 mg/dl, respectively.
Table 3.
Phenotypes | T(−786)C P value | 27 bp-VNTR P value | G/T (Glu298Asp) P value |
---|---|---|---|
Type 2 diabetesa | 0.591 | 0.207 | 0.985 |
Body mass indexb | 0.137 | 0.337 | 0.489 |
Total cholesterolc | 0.594 | 0.841 | 0.711 |
High density lipoprotein cholesterolc | 0.697 | 0.403 | 0.875 |
Triglyceridesc | 0.034 | 0.606 | 0.739 |
Systolic blood pressured | 0.228 | 0.744 | 0.870 |
Diastolic blood pressured | 0.646 | 0.174 | 0.753 |
Albumin to creatinine ratioe | 0.423 | 0.047 | 0.445 |
Estimated glomerular filtration ratee | 0.958 | 0.620 | 0.496 |
Data adjusted for age and sex terms
Data adjusted for age, sex and diabetes
Data adjusted for age, sex, diabetes, duration of diabetes, body mass index, and lipid medication
Data adjusted for age, sex, diabetes, duration of diabetes and antihypertensive treatment
Data adjusted for age, sex, diabetes, duration of diabetes, systolic blood pressure and antihypertensive treatment; Glomerular filtration rate was estimated by MDRD equation
The mechanism responsible for the association between the 27 bp-VNTR-a/b variant of eNOS and variation in albuminuria needs to be elucidated. However, NO is involved in the regulation of renal function including glomerular hemodynamics [22], and mediation of pressure natriuresis [23]. Significantly, deficient renal NO synthesis has been implicated in the pathogenesis of hypertension, albuminuria, and diabetic nephropathy. Prevailing experimental and clinical data suggest that generalized endothelial dysfunction, frequently characterized by decreased NO bioavailability, actually precedes the development of microalbuminuria [24]. In addition, decreased renal NO production accelerates the progression of diabetic nephropathy, presumably through mechanisms such as increased renal vascular tone and potentiation of angiotensin II effects [25]. Taken together, it is reasonable to speculate that the association between the 27 bp-VNTR-a/b and ACR is due to low bioavailability of NO in the kidney [6].
Association analyses also indicated that the T-786C variant located in the promoter region revealed a significant association with TGL (P = 0.034) after accounting for the covariates effects of age, sex, diabetes, duration of diabetes, BMI, and lipid medications (Table 3). Although the functional significance of this association needs to be elucidated, endothelial nitric oxide is considered to be an important atheroprotective mediator, and acquired defects in the generation of NO due to T-786C variation in eNOS gene are believed to be associated with the increase in cardiovascular risk [9]. Association analyses failed to find a statistically significant association between the G/T (Glu298Asp) polymorphism and any of the cardiovascular and renal-related risk factors examined (Table 3). The data are in agreement with several reports including another cohort of Mexican Americans [26] and Hispanics [27].
While, the current study is advantageous as it measures multiple cardiovascular-renal related traits in the same individuals in a relatively large sample of Mexican American families, it has limitations in that it attempted to replicate the three variants examined previously by several studies of the eNOS gene and has not attempted comprehensive tagging of all common variation within the eNOS. In addition, the eGFR estimated by the MDRD formula has not been validated in Mexican Americans. However, the MDRD equation is commonly used to estimate GFR and has been employed in several genetic studies [3, 28, 29]. It is to be noted that while allowing for multiple testing of SNPs preserves the significance of our two best associations, we, however, do not consider corrections for tests across multiple phenotypes since each phenotype can be considered to reflect an unique hypothesis.
In conclusion, the present study adds evidence to the role of eNOS candidate gene polymorphisms in modulating the risk factors related to cardiovascular-renal disease in Mexican Americans, although the magnitude of the genetic effects appears to be small.
Acknowledgments
We thank the members of SAFHS for their participation and cooperation. This study was supported by the Grant-in-Aid from the American Heart Association (FT), Carl W. Gottschalk Research Scholars of the American Society of Nephrology (FT), George O’Brien Kidney Research Center (P50 DK061597; HEA, FT), Norman S. Coplan grant from the Satellite Healthcare (FT), San Antonio Area Foundation (FT), VA-MERIT Review (HEA, NHA). The SAFHS is supported by NIH grant P01 HL45522. The development of SOLAR was supported by R01 MH59490. This work was supported by the National Center for Research Resources contracts UL1 RR025767 and KL2 RR025766 for the Institute for Integration of Medicine and Science.
Contributor Information
Subrata D. Nath, Division of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA
Xin He, Division of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA.
V. Saroja Voruganti, Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78227, USA.
John Blangero, Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78227, USA.
Jean W. MacCluer, Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78227, USA
Anthony G. Comuzzie, Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78227, USA
Nedal H. Arar, Division of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA South Texas Veterans Health Care System, San Antonio, TX 78229, USA.
Hanna E. Abboud, Division of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA South Texas Veterans Health Care System, San Antonio, TX 78229, USA.
Farook Thameem, Email: thameem@uthscsa.edu, Division of Nephrology, Department of Medicine, University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, San Antonio, TX 78229, USA.
References
- 1.An P, Freedman BI, Hanis CL, Chen YD, Weder AB, Schork NJ, et al. Genome-wide linkage scans for fasting glucose, insulin, and insulin resistance in the national heart, lung, and blood institute family blood pressure program: evidence of linkages to chromosome 7q36 and 19q13 from meta-analysis. Diabetes. 2005;54(3):909–914. doi: 10.2337/diabetes.54.3.909. [DOI] [PubMed] [Google Scholar]
- 2.Love-Gregory L, Sherva R, Sun L, Wasson J, Schappe T, Doria A, et al. Variants in the CD36 gene associate with the metabolic syndrome and high-density lipoprotein cholesterol. Hum Mol Genet. 2008;17:1695–1704. doi: 10.1093/hmg/ddn060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Schelling JR, Abboud HE, Nicholas SB, Pahl MV, Sedor JR, Adler SG, et al. Genome-wide scan for estimated glomerular filtration rate in multi-ethnic diabetic populations: the family investigation of nephropathy and diabetes (FIND) Diabetes. 2008;57:235–243. doi: 10.2337/db07-0313. [DOI] [PubMed] [Google Scholar]
- 4.Mount PF, Power DA. Nitric oxide in the kidney: functions and regulation of synthesis. Acta Physiol (Oxf) 2006;187:433–446. doi: 10.1111/j.1748-1716.2006.01582.x. [DOI] [PubMed] [Google Scholar]
- 5.Moncada S, Higgs EA. Nitric oxide and the vascular endothelium. Handb Exp Pharmacol. 2006;176:213–254. doi: 10.1007/3-540-32967-6_7. [DOI] [PubMed] [Google Scholar]
- 6.Tsukada T, Yokoyama K, Arai T, Takemoto F, Hara S, Yamada A, et al. Evidence of association of the ecNOS gene polymorphism with plasma NO metabolite levels in humans. Biochem Biophys Res Commun. 1998;245:190–193. doi: 10.1006/bbrc.1998.8267. [DOI] [PubMed] [Google Scholar]
- 7.Nakayama M, Yasue H, Yoshimura M, Shimasaki Y, Kugiyama K, Ogawa H, et al. T-786→C mutation in the 5′-flanking region of the endothelial nitric oxide synthase gene is associated with coronary spasm. Circulation. 1999;99:2864–2870. doi: 10.1161/01.cir.99.22.2864. [DOI] [PubMed] [Google Scholar]
- 8.Tesauro M, Thompson WC, Rogliani P, Qi L, Chaudhary PP, Moss J. Intracellular processing of endothelial nitric oxide synthase isoforms associated with differences in severity of cardiopulmonary diseases: cleavage of proteins with aspartate vs. glutamate at position 298. Proc Natl Acad Sci USA. 2000;97:2832–2835. doi: 10.1073/pnas.97.6.2832. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Casas JP, Cavalleri GL, Bautista LE, Smeeth L, Humphries SE, Hingorani AD. Endothelial nitric oxide synthase gene polymorphisms and cardiovascular disease: a HuGE review. Am J Epidemiol. 2006;164:921–935. doi: 10.1093/aje/kwj302. [DOI] [PubMed] [Google Scholar]
- 10.MacCluer JW, Stern MP, Almasy L, Atwood LA, Blangero J, Comuzzie AG, et al. Genetics of atherosclerosis risk factors in Mexican Americans. Nutr Rev. 1999;57:S59–S65. doi: 10.1111/j.1753-4887.1999.tb01790.x. [DOI] [PubMed] [Google Scholar]
- 11.Arar NH, Voruganti VS, Nath SD, Thameem F, Bauer R, Cole SA, et al. A genome-wide search for linkage to chronic kidney disease in a community-based sample: the SAFHS. Nephrol Dial Transplant. 2008;23:3184–3191. doi: 10.1093/ndt/gfn215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Dyke B. Population genetics laboratory technical report No. 2. 2nd edn. San Antonio, TX 78245: Southwest Foundation for Biomedical Research; 1994. PEDSYS, a Pedigree Data Management System. User’s manual; p. 226. [Google Scholar]
- 13.Almasy L, Blangero J. Exploring positional candidate genes: linkage conditional on measured genotype. Behav Genet. 2004;34:173–177. doi: 10.1023/B:BEGE.0000013731.03827.69. [DOI] [PubMed] [Google Scholar]
- 14.Abecasis GR, Cookson WO, Cardon LR. Pedigree tests of transmission disequilibrium. Eur J Hum Genet. 2000;8:545–551. doi: 10.1038/sj.ejhg.5200494. [DOI] [PubMed] [Google Scholar]
- 15.Havill LM, Dyer TD, Richardson DK, Mahaney MC, Blangero J. The quantitative trait linkage disequilibrium test: a more powerful alternative to the quantitative transmission disequilibrium test for use in the absence of population stratification. BMC Genet. 2005;6:S91. doi: 10.1186/1471-2156-6-S1-S91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Burg M, Menne J, Ostendorf T, Kliem V, Floege J. Genepolymorphisms of angiotensin converting enzyme and endothelial nitric oxide synthase in patients with primary glomerulonephritis. Clin Nephrol. 1997;48:205–211. [PubMed] [Google Scholar]
- 17.Yokoyama K, Tsukada T, Matsuoka H, et al. High accumulation of endothelial nitric oxide synthase (ecNOS): a gene polymorphism in patients with end-stage renal disease. Nephron. 1998;79:360–361. doi: 10.1159/000045069. [DOI] [PubMed] [Google Scholar]
- 18.Wang Y, Kikuchi S, Suzuki H, Nagase S, Koyama A. Endothelial nitric oxide synthase gene polymorphism in intron 4 affects the progression of renal failure in non-diabetic renal diseases. Nephrol Dial Transplant. 1999;14:2898–2902. doi: 10.1093/ndt/14.12.2898. [DOI] [PubMed] [Google Scholar]
- 19.Morita T, Ito H, Suehiro T, Tahara K, Matsumori A, Chikazawa H. Effect of a polymorphism of endothelial nitric oxide synthase gene in Japanese patients with IgA nephropathy. Clin Nephrol. 1999;52:203–209. [PubMed] [Google Scholar]
- 20.Fujita H, Narita T, Meguro H, Ishii T, Hanyu O, Suzuki K. Lack of association between an ecNOS gene polymorphism and diabetic nephropathy in type 2 diabetic patients with proliferative diabetic retinopathy. Horm Metab Res. 2000;32:80–83. doi: 10.1055/s-2007-978594. [DOI] [PubMed] [Google Scholar]
- 21.Zanchi A, Moczulski DK, Hanna LS, Wantman M, Warram JH, Krolewski AS. Risk of advanced diabetic nephropathy in type 1 diabetes is associated with endothelial nitric oxide synthase gene polymorphism. Kidney Int. 2000;57:405–413. doi: 10.1046/j.1523-1755.2000.00860.x. [DOI] [PubMed] [Google Scholar]
- 22.Majid DS, Navar LG. Nitric oxide in the control of renal hemodynamics and excretory function. Am J Hypertens. 2001;14:74S–82S. doi: 10.1016/s0895-7061(01)02073-8. [DOI] [PubMed] [Google Scholar]
- 23.Majid DS, Williams A, Navar LG. Inhibition of nitric oxide synthesis attenuates pressure-induced natriuretic responses in anaesthetized dogs. Am J Physiol Renal Physiol. 1993;262:F718–F722. doi: 10.1152/ajprenal.1993.264.1.F79. [DOI] [PubMed] [Google Scholar]
- 24.Ochodnicky P, Henning RH, van Dokkum RP, de Zeeuw D. Microalbuminuria and endothelial dysfunction: emerging targets for primary prevention of end-organ damage. J Cardiovasc Pharmacol. 2006;47:S151–S162. doi: 10.1097/00005344-200606001-00009. [DOI] [PubMed] [Google Scholar]
- 25.Kone BC, Baylis C. Biosynthesis and homeostatic roles of nitric oxide in the normal kidney. Am J Physiol. 1997;272:F561–F578. doi: 10.1152/ajprenal.1997.272.5.F561. [DOI] [PubMed] [Google Scholar]
- 26.Thameem F, Puppala S, Arar NH, et al. Endothelial nitric oxide synthase (eNOS) gene polymorphisms and their association with type 2 diabetes-related traits in Mexican Americans. Diab Vasc Dis Res. 2008;5:109–113. doi: 10.3132/dvdr.2008.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Hoffmann IS, Tavares-Mordwinkin R, Castejon AM, Alfieri AB, Cubeddu LX. Endothelial nitric oxide synthase polymorphism, nitric oxide production, salt sensitivity and cardiovascular risk factors in Hispanics. J Hum Hypertens. 2005;19:233–240. doi: 10.1038/sj.jhh.1001801. [DOI] [PubMed] [Google Scholar]
- 28.Puppala S, Arya R, Thameem F, Arar NH, Bhandari K, Lehman DM. Genotype by diabetes interaction effects on the detection of linkage of glomerular filtration rate to a region on chromosome 2q in Mexican Americans. Diabetes. 2007;56:2818–2828. doi: 10.2337/db06-0984. [DOI] [PubMed] [Google Scholar]
- 29.Freedman BI, Bowden DW, Rich SS, Xu J, Wagenknecht LE, Ziegler J, et al. Genome-wide linkage scans for renal function and albuminuria in Type 2 diabetes mellitus: the diabetes heart study. Diabet Med. 2008;25:268–276. doi: 10.1111/j.1464-5491.2007.02361.x. [DOI] [PubMed] [Google Scholar]