- Research article
- Open Access
- Open Peer Review
N-acetyltransferase 8, a positional candidate for blood pressure and renal regulation: resequencing, association and in silico study
© Juhanson et al; licensee BioMed Central Ltd. 2008
- Received: 22 October 2007
- Accepted: 10 April 2008
- Published: 10 April 2008
Kidneys have an important function in blood pressure (BP) regulation and elevated BP may lead to kidney failure. Chr2p12-p13 region linked to BP traits in multiple studies harbours a potential candidate for BP and renal function, N-acetyltransferase 8 (NAT8) expressed in embryonic and adult kidney and associated with nephrotoxicity response.
We report the first study exploring NAT8 as a potential candidate gene for blood pressure and kidney function. The resequencing (n = 42, random Estonian samples) identified 15 NAT8 polymorphisms, including 6 novel variants. The diversity of NAT8 5' upstream region (π/bp = 0.00320) exceeded up to 10 times the variation in the NAT8 genic region (π/bp = 0.00037) as well as the average variation (π/bp = 0.00040) for the promoters of 29 reference genes associated with hypertension. We suggest that a potential source for such high variation could be an active gene conversion process from NAT8B duplicate gene to NAT8. Similarly to NAT8, several reference genes with the most variable upstream regions have also duplicate copies. The NAT8 promoter SNPs were targeted with pilot quantitative association studies for blood pressure (n = 137, healthy unrelated individuals) and for the index of kidney function – estimated glomerular filtration rate (eGFR; n = 157 hypertensives with and without nephropathy). Minor alleles of these polymorphisms revealed a significant protective effect against elevated systolic BP as well as kidney failure in hypertension patients (p < 0.05; linear regression model, addictive effect).
The full resequencing and pilot association study of a novel positional candidate gene for blood pressure and renal function, human N-acetyltransferase 8, suggested a contribution of highly variable NAT8 promoter polymorphisms in determination of systolic blood pressure and eGFR. Based on in silico analysis, we raise the hypothesis that the alternative SNP alleles of the NAT8 upstream region may have differential effect on gene expression.
- Serum Response Factor
- Transcription Factor Binding Site Prediction
- Myeloid Zinc Finger
- Vascular Smooth Muscle Cell Differentiation
- Potential TFBSs
Twin studies have shown that approximately half of the inter-individual variance in blood pressure (BP) level is heritable [1, 2]. As distinctive for complex diseases, pathologically high BP diagnosed as essential hypertension (repeated systolic and diastolic BP readings > 140 and/or > 90 mmHg) evolves in association with genetic predisposition and personal life-style. Identification of the mutations behind Mendelian forms leading to hypo- or hypertension has highlighted the central role of the renal metabolic pathways in blood pressure regulation . Consistently, depending on the severity and duration of the hypertension, the patients may develop morphological changes in vasculature of kidneys followed by the progression renal failure [4–6]. In the other way around, it has also been proposed that the defective embryonic development of the kidney or loss of existing nephrons may act as a predisposing factor for primary hypertension [7–10].
Genome-wide linkage studies  have identified the short-arm of human Chr2 as one of the four major genomic regions to be responsible for BP regulation and therefore hold a risk for essential hypertension. Several candidate genes (ADD2; SLC8A1) from this region have been proposed and investigated in detail to play a role in the aetiology of essential hypertension [12, 13]. For this study we screened the reported linkage regions at Chr2 for novel BP regulating genes involved in kidney function and renal metabolic pathways. Within the window of 10 Mb from the four reported linkage peaks  we have identified at 2p13.1-p12 a novel functionally relevant candidate gene N-acetyltransferase 8 (NAT8) that is highly expressed in normal human embryonic kidney and liver. NAT8 protein has been suggested to play an important role in development and maintenance of the structure and function in adult kidney and liver . Although exact function of the NAT8 is unknown, its expression profile is related to detoxification pathways in kidney .
In the present study, we have carried out the resequencing of human NAT8 gene followed by a pilot association study of the common NAT8 sequence variation with blood pressure measurements and the index of kidney function. We show that most of the NAT8 variation is harboured in the 5'UTR and upstream regions, which is associated with both, systolic blood pressure levels and the estimated glomerular filtration rate (eGFR).
The study has been approved by the Ethics Committee on Human Research of University of Tartu, Estonia (permissions no 122/13,22.12.2003; 137/20, 25.04.2005). The initial study for resequencing (n = 42) and the association studies (detailed description found below) were carried out using samples of recruited individuals from the Estonian population, classified as a typical North-European population based on its genetic composition . All participating individuals gave their informed consent prior to their inclusion into the study.
PCR and resequencing primers for human NAT8
Primer sequence 5'-3'
Long-range PCR primers
Nested PCR primers
In the extended association study of the 5'upstream SNPs, only the sequencing primers 4F and 4R were used. For the comparison of sequence diversity parameters, we resequenced (n = 14) the promoter regions (+100 bp up to -500 bp relative to mRNA transcription initiation site) for 29 previously established blood pressure associated genes from literature: ACE, ADD1, ADD2, AGT, AGTR1, AGTR2, KCNJ1, CYP17A1, NPR1, CLCNKA, HSD11B1, CYP11B2, CLCNKB, KLK1, NPR2, BSND, NR3C2, CYP21A2, SAH, SGK, SLC12A3, SCNN1A, IL1A, SLC14A2, SLC22A2, REN, ATP1A, SCNN1B and SLC8A1 (primers used for PCR and resequencing, see additional file 1: Primers).
Subjects for Association Studies
Association study for blood pressure
Long-term blood donors (n = 137; 76 males, 61 females; age 40 ± 7.8 years; BMI 25 ± 2.6) were recruited in the framework of HYPEST study (participation rate 51.5%; Org et al., unpublished data) from the North Estonian Blood Center  coordinating the blood donation in northern, eastern, and western Estonia, and the Blood Centre of the Tartu University Clinics  coordinating the blood donation activity in central and southern Estonia. The exclusion criteria for donors included cardiovascular diseases, diabetes and antihypertensive treatment ascertained by confidential self-reported signed questionnaires and medical examination. Both Blood Centres have standardized protocols for measuring blood pressure by responsible trained clinicians. After a rest in a sitting position, the blood pressure reading of a donor was obtained during each visit to the Blood Donation Centre. All recruited individuals possess a documented history of multiple systolic and diastolic blood pressure (SBP, DBP) readings (on average 4 readings per individual, range 2–14) during 3 ± 2.5 years (range 1–7 years). Most of the BP measurements per subject have been obtained using a standard mercury column sphygmomanometer and size-adjusted cuffs. Occasionally, outside of blood donation centres BP of the participants was measured by oscillometric method using NAIS DIAGNOSTEC blood pressure watch (Matsushita Electronic Works) after a rest in a sitting position and with the arm placed at the heart level. No systematic deviation was observed between the two devices. The BP parameters across the whole cohort study group were as following: SBP 134.2 ± 11.5 mmHg within a range of 113.5 – 171 mmHg; and DBP 84.6 ± 7.6 mmHg within a range of 65.5 – 110 mmHg. Quantitative analysis was performed with a calculated median of a subject's BP readings adjusted to age and sex as co-variables.
Association study for estimated glomerular filtration rate (eGFR)
The study group of long-term essential hypertension (EH) patients (n = 157; 78 males, 79 females; age at the time of EH diagnosis 47 ± 9.7 years; age at recruitment 59 ± 9 years; BMI 28 ± 3.8) without and with hypertensive nephropathy were recruited (participation rate 42.3%) by blood pressure specialists during the patients' ambulatory visit or hospitalization at the North Estonia Medical Center, Centre of Cardiology (cardiologist M.V.) or at the Cardiology (coordinated by G.V.) and Internal Medicine Clinics (nephrologist M.R.), Tartu University Hospital, Estonia. The selection criteria for the study group were as following:
- Long term (mean duration 12.5 y) essential hypertension diagnosed by a clinical specialist (SBP > 140 mmHg, DBP > 90 mmHg).
- Exclusion of patients with diabetes and primary renal failure by a clinical specialist
- All recruited hypertension patients received antihypertensive treatment
Diagnose of hypertensive nephropathy was assigned by nephrologists (M.R.) based on longstanding blood pressure elevation together with proteinuria and presence of progressive chronic kidney disease. Differential diagnosis was established using methods per exclusionem i.e. the patients possessed no symptoms of glomerulonephritis, systemic diseases, amyloidosis or other glomerulopathies, confirmed by diagnostic labororatory tests.
The venous blood for serum biomarker analysis was drawn in the morning after an overnight fast. Urea (measurement uncertainty 9.7%), creatinine (m.u. 17.2%) and albumine (m.u. 6.9%) in the serum were measured by standardized assays (Cobas Integra 800® analytical platform, Roche Diagnostics, Inc.) at the United Laboratories, Tartu University Clinics  or at the Diagnostics Division Laboratory, the North Estonia Medical Centre . The tests of for the serum biomarkers have been accredited by the Estonian Accreditation Centre  according to the standards of the European co-operation for Accreditation . Measurement uncertainty was estimated using EURACHEM guidelines . It is defined as the parameter associated with the result of a measurement that characterizes the dispersion of the values that could reasonably be attributed to the measurand (e.g. the concentration of a biomarker).
Kidney function was evaluated using estimated glomerular filtration rate (eGFR), the most recommended overall index of kidney function in health and disease . The formula  includes both, demographic (age, sex, race) and blood serum (urea – SUN [mg/dl], creatinine – PCr [mg/dl], albumin – Alb [g/dl]) variables.
eGRF (ml/min/1,73 m2) = 170× (PCr)-0,999 × (Age)-0,176 × (0,762 if patient is female) × (SUN)-0,17 × (Alb)+0,318
A decrease of eGFR below 60 ml/min/1.73 m2 precedes the onset of kidney failure (K/DOQI 2002). The distribution of eGFR values for our study population was 72 ± 28.5 (range 5 – 143).
Methods used for Hardy-Weinberg equilibrium estimations, sequence diversity calculations and in silico prediction of transcription factor binding sites are described in detail elsewhere [29, 30]. Quantitative genetic association analyses for blood pressure and serum biomarkers were performed with association analysis toolset PLINK . Association was tested using linear regression analysis with additive effect model and likelihood-ratio test (LRT) with age, sex and BMI as co-variables. Statistical significance for the different distribution of the quantitative measurements (BP, GFR) in two subgroups based on the genotype was verified using non-parametric Mann-Whitney two-sided U-test performed with a web-based interface . In all computed statistical tests a p-value < 0.05 was considered statistically significant and p < 0.1 as suggestive.
Detailed diversity patterns of NAT8 by resequencing
NAT8 genomic region SNPs identified by resequencing in random Estonian population samples (n = 42)
The NAT8 resequencing data deviated strongly from the polymorphism pattern in public dbSNP database  with 39 SNP entries for NAT8 region (Figure 1c). The higher number of SNPs in dbSNP might represent paralogous sequence variants (PSVs) between NAT8 and its duplicate gene NAT8B as all the unidentified dbSNP entries co-located with the sequence positions where NAT8 and NAT8B diverge (see additional file 2: Alignment).
Diversity parameters for resequenced NAT8 gene and promoter regions of 29 genes associated with blood pressure determination
A. NAT8 region
Gene (1569 bp)
mRNA (953 bp)
Promoter (600 bp)a
B. Promoter regions (600 bp)a of 29 blood pressure associated genesb
Association study of NAT8 5' upstream SNPs with blood pressure and eGFR
P-values from association tests of NAT8 upstream SNPs: linear regression (additive model) adjusted for age, gender and BMI
We further tested the association of NAT8 upstream SNPs with the reduction of kidney function as a consequence of essential hypertension using an Estonian cohort of long-term hypertension patients without and with hypertensive nephropathy. Linear regression analysis (additive model) and LRT test detected significant (SNP-803 and SNP-1041; p < 0.05) and borderline (p ≤ 0.08) associations of NAT8 upstream SNPs with eGFR estimates reflecting the efficiency of kidney function (Table 4). Significant positive linear regression coefficients indicated the association of SNP-803 (10.7) and SNP-1041 (6.4) with higher GFR values. The distribution of eGFR values for heterozygotes of SNP -803 (median 83.3; mean 82 ± 21.5; n = 33) and SNP -1041 (median 80.5; mean 77 ± 28; n = 90) was significantly higher (Mann-Whitney U test, p = 0.04 and p = 0.02) than for wild-type homozygotes (SNP -803: median 71.9; mean 70 ± 29.7, n = 124; SNP -1041: median 68.3; mean 66 ± 28; n = 67) on average 12 and 11 GFR units, respectively (Figure 4b).
Functional significance of NAT8 5'upstream SNP alleles
Possible functional significance of NAT8 upstream SNP alternative alleles was targeted with the in silico transcription factor binding site (TFBS) prediction using MatInspector  software. Several potential TFBSs within predicted classical promoter region (+100 to -500 bp relative to mRNA transcription start) are missing on the chromosomes that carry the minor alleles for NAT8 upstream SNPs -911 (major allele T/minor allele C), -1152 (C/T) and -1153 (A/G) (Figure 1d). Compared to the common T variant, the C allele of SNP -911 lacks potential binding sites for seven competing or co-activating TFs, including factors involved in inflammatory, cardiovascular or renal function: oestrogen related receptor (ERR) , RAR-related orphan receptor alpha1 (RORA) , HMG box-containing protein 1 (HBP1) , nuclear factor kB (NF-kB)/c-rel . Allele- specific binding of ERR was confirmed by another TFBS prediction program AliBaba 2.1. . Minor combinatory variant (T-G) for neighbouring SNPs -1152/-1153 miss two potential TFBSs, one for serum response factor (SRF) and the other for myeloid zinc finger protein (MZF1) located on the opposite strands. SRF is a transcription factor conserved from flies to humans and shown to regulate coordinated gene expression in cardiac and vascular smooth muscle cell differentiation .
We report the first study targeting human N-acetyltransferase 8 (NAT8) as a potential blood pressure (BP) and kidney function associated gene. Although the knowledge about NAT8 is scarce, it was shown to be highly expressed in developing as well as adult human kidney and liver . A recent study associated NAT8 expressional profile with nephrotoxicity response . Kidney function has been associated with BP from two complimentary viewpoints: (1) link between elevated blood pressure and risk for kidney failure [4, 6]; and (2) link between renal structural/functinonal abnormalities developed during intrauterine life as susceptibility to hypertension in adult life [7, 10]. In listing the candidate genes for association studies of human blood pressure traits, the genes protecting and contributing to normal fetal renal programming have often been overlooked as potential susceptibility factors.
We showed that the putative upstream NAT8 promoter region is highly diverse compared to the gene's coding region, as well as to the promoters of BP-associated reference genes resequenced for comparison. High diversity may indicate the lack of selective constraint and/or the maintenance of several functioning promoter variants with differential effect on gene expression. For a number of genes shown to contribute to blood pressure regulation, the promoter polymorphisms have been associated with the diagnosis of hypertension. Examples of experimentally confirmed differential effects of alternative alleles on promoter activity are CYP11B2 [42–44], NPR1 (reviewed in ), SCNN1A  and AGT .
In a pilot association study based on a random Estonian population cohort we identified an association between NAT8 promoter SNPs and systolic BP. Consistently, in a separate cohort of essential hypertension patients the same markers showed association with estimated glomerular filtration rate (eGFR). Interestingly, the minor alleles of the same SNPs reveal protective effects towards both, the elevated BP and the risk of kidney failure as the complication to high blood pressure. We are aware that the results of these pilot association studies may be biased due to phenotypic misclassification and/or may be underpowered due to limited sample sizes. Also, multiple testing tends to inflate type 1 error rates. Another limitation may be the lack of sensitivity of the eGFR calculations based on serum creatinine instead of the actual GFR values obtained from measurements using an exogenous filtration marker. Thus, replication of the association of NAT8 with SBP and eGFR in other study populations, as well as functional experiments addressing the effect of the alternative promoter variants are required to ultimately determine the role of this gene in blood pressure regulation and kidney function. While evaluating the data from the association studies, one also has to keep in mind that both BP regulation and kidney metabolic function are complex traits determined by the combination of environmental, individual's life style and heterogenous genetic factors and thus the contribution of each gene variant is expected to be small. Recently, Yamada et al  performed a large association study with 150 SNPs in 128 functionally relevant BP regulating genes for 2818 hypertensive Japanese and 2035 matched controls. Using multivariable logistic regression analysis, significant associations (0.002 < p < 0.05) with hypertension were detected only with 10% (n = 15) of the targeted SNPs. Interestingly, seven of these were promoter variants and in 10 SNPs out of the significant 15 the carrier status of the minor allele provided a protective effect against blood pressure elevation.
High homology between NAT8 and its pseudogene NAT8B is due to a recent origin of NAT8B through the duplication of an ancestral gene after the ape-Old World monkey split. In chimpanzee both gene copies are still active, whereas in human NAT8B appears to be inactive due to human-specific nonsense mutations . There are multiple examples of gene conversion events between genes and their pseudogenes causing the dysfunction of the genes . In case of NAT8, the alternative promoter sequence may have arisen through gene conversion from NAT8B leading to differentially expressed gene variants.
Although the exact function of NAT8 is still to be determined, it has recently been shown to participate in detoxification processes of TCE (trichloroethylene) metabolite DCVC (S-(1,2-dichlorovinyl)-L-cysteine) in the kidney. DCVC detoxification in kidneys has two alternative metabolic pathways: (1) bioactivation through B-lyase activity leading to the accumulation of a nephrotoxic reactive sulfhydryl-intermediate (DCVSH – dichlorovinyl mercaptan) and (2) N-acetylation of DCVC resulting in a harmless acetylated product (NacDCVC – N-acetyl-S-(1,2-dichlorovinyl)-L-cysteine) excreted in urine . When human renal proximal tubule cells were exposed to low concentrations of DCVC, NAT8 expression was reduced more than twice . We hypothesize that the transcriptional activation of the common NAT8 promoter variant is repressible by toxic substances (e.g. TCE metabolites) and reduction of N-acetylation activity may lead to favouring of the nephrotoxic pathway. Due to differential cocktail of activating transcription factors for the NAT8 promoter variant with alternative SNP alleles, the minor NAT8 variant may be less sensitive to transcriptional suppression and the carriers may be better protected for the nephrotoxicity. The two disease processes, renal response to nephrotoxins and the pathogenesis of hypertension may be connected through overlapping physiological pathways. A representative example is the enzyme haem oxigenase 1 (HO-1) responsible for the catabolism of free heam, being induced in some models of hypertension as well as up-regulated in a variety of kidney injury models, including the effect of nephrotoxins (reviewed in ).
The full resequencing and pilot association study of a novel positional candidate gene for blood pressure and renal function, human N-acetyltransferase 8, suggested the contribution of highly variable NAT8 promoter polymorphisms in determination of systolic blood pressure and estimated glomerular filtration rate. Based on in silico analysis, we raise the hypothesis that the alternative SNP alleles within NAT8 upstream region may have differential effect on gene expression.
We thank Drs Aleksei Teor and Karel Tomberg; Anne Speek and Aino Hallik from North Estonia Medical Centre, Tallinn, Estonia; Drs Sirly Tikas, Riho Paesüld and Tatjana Plahhova from North Estonian Blood Center; the personnel and especially Dr Ülle Kuusik from the Blood Center of Tartu University Clinics; Kersti Kivi, Külli Kangur, Dr Tiina Ristimäe from the Department of Cardiology and Dr Külli Kõlvald from the Department of Internal Medicine, University of Tartu Clinics; Tiina Rebane, Kärt Tomberg and Margus Putku for assistance in subject recruitment in the framework of HYPEST study. Viljo Soo is acknowledged for technical assistance in DNA sequencing, and Tõnu Margus for bioinformatics support. M.L. is a Wellcome Trust International Senior Research Fellows (grants no. 070191/Z/03/Z) in Biomedical Science in Central Europe and HHMI International Scholar (grant #55005617). Additionally, the study has been supported by Estonian Ministry of Education and Science core grant no. 0182721s06 and Estonian Science Foundation grant no. 5796.
- Luft FC: Twins in cardiovascular genetic research. Hypertension. 2001, 37 (2 Part 2): 350-356.View ArticlePubMedGoogle Scholar
- Snieder H, Harshfield GA, Treiber FA: Heritability of blood pressure and hemodynamics in African- and European-American youth. Hypertension. 2003, 41 (6): 1196-1201. 10.1161/01.HYP.0000072269.19820.0D.View ArticlePubMedGoogle Scholar
- Lifton RP, Gharavi AG, Geller DS: Molecular mechanisms of human hypertension. Cell. 2001, 104 (4): 545-556. 10.1016/S0092-8674(01)00241-0.View ArticlePubMedGoogle Scholar
- Klag MJ, Whelton PK, Randall BL, Neaton JD, Brancati FL, Ford CE, Shulman NB, Stamler J: Blood pressure and end-stage renal disease in men. The New England journal of medicine. 1996, 334 (1): 13-18. 10.1056/NEJM199601043340103.View ArticlePubMedGoogle Scholar
- Johnson RJ, Segal MS, Srinivas T, Ejaz A, Mu W, Roncal C, Sanchez-Lozada LG, Gersch M, Rodriguez-Iturbe B, Kang DH, Acosta JH: Essential hypertension, progressive renal disease, and uric acid: a pathogenetic link?. J Am Soc Nephrol. 2005, 16 (7): 1909-1919. 10.1681/ASN.2005010063.View ArticlePubMedGoogle Scholar
- Rosario RF, Wesson DE: Primary hypertension and nephropathy. Current opinion in nephrology and hypertension. 2006, 15 (2): 130-134. 10.1097/01.mnh.0000214771.88737.ee.View ArticlePubMedGoogle Scholar
- Brenner BM, Garcia DL, Anderson S: Glomeruli and blood pressure. Less of one, more the other?. Am J Hypertens. 1988, 1 (4 Pt 1): 335-347.View ArticlePubMedGoogle Scholar
- Moritz KM, Dodic M, Wintour EM: Kidney development and the fetal programming of adult disease. Bioessays. 2003, 25 (3): 212-220. 10.1002/bies.10240.View ArticlePubMedGoogle Scholar
- Jensen BL: Reduced nephron number, renal development and 'programming' of adult hypertension. Journal of hypertension. 2004, 22 (11): 2065-2066. 10.1097/00004872-200411000-00006.View ArticlePubMedGoogle Scholar
- Zandi-Nejad K, Luyckx VA, Brenner BM: Adult hypertension and kidney disease: the role of fetal programming. Hypertension. 2006, 47 (3): 502-508. 10.1161/01.HYP.0000198544.09909.1a.View ArticlePubMedGoogle Scholar
- Samani NJ: Genome scans for hypertension and blood pressure regulation. Am J Hypertens. 2003, 16 (2): 167-171. 10.1016/S0895-7061(02)03244-2.View ArticlePubMedGoogle Scholar
- Casari G, Barlassina C, Cusi D, Zagato L, Muirhead R, Righetti M, Nembri P, Amar K, Gatti M, Macciardi F, Binelli G, Bianchi G: Association of the alpha-adducin locus with essential hypertension. Hypertension. 1995, 25 (3): 320-326.View ArticlePubMedGoogle Scholar
- Iwamoto T, Kita S, Zhang J, Blaustein MP, Arai Y, Yoshida S, Wakimoto K, Komuro I, Katsuragi T: Salt-sensitive hypertension is triggered by Ca2+ entry via Na+/Ca2+ exchanger type-1 in vascular smooth muscle. Nature medicine. 2004, 10 (11): 1193-1199. 10.1038/nm1118.View ArticlePubMedGoogle Scholar
- Ozaki K, Fujiwara T, Nakamura Y, Takahashi E: Isolation and mapping of a novel human kidney- and liver-specific gene homologous to the bacterial acetyltransferases. J Hum Genet. 1998, 43 (4): 255-258. 10.1007/s100380050084.View ArticlePubMedGoogle Scholar
- Lock EA, Barth JL, Argraves SW, Schnellmann RG: Changes in gene expression in human renal proximal tubule cells exposed to low concentrations of S-(1,2-dichlorovinyl)-l-cysteine, a metabolite of trichloroethylene. Toxicology and applied pharmacology. 2006, 216 (2): 319-330. 10.1016/j.taap.2006.06.002.View ArticlePubMedGoogle Scholar
- Mueller JC, Lohmussaar E, Magi R, Remm M, Bettecken T, Lichtner P, Biskup S, Illig T, Pfeufer A, Luedemann J, Schreiber S, Pramstaller P, Pichler I, Romeo G, Gaddi A, Testa A, Wichmann HE, Metspalu A, Meitinger T: Linkage disequilibrium patterns and tagSNP transferability among European populations. American journal of human genetics. 2005, 76 (3): 387-398. 10.1086/427925.View ArticlePubMedPubMed CentralGoogle Scholar
- Web-based global alignment tool CLUSTALW. [http://www.ebi.ac.uk/Tools/clustalw2/index.html]
- The Primer3 primer designing software. [http://frodo.wi.mit.edu/cgi-bin/primer3/primer3_www.cgi]
- National Centre for Biotechnology Information (NCBI BLAST). [http://0-www.ncbi.nlm.nih.gov.brum.beds.ac.uk/BLAST]
- Hallast P, Nagirnaja L, Margus T, Laan M: Segmental duplications and gene conversion: Human luteinizing hormone/chorionic gonadotropin beta gene cluster. Genome research. 2005, 15 (11): 1535-1546. 10.1101/gr.4270505.View ArticlePubMedPubMed CentralGoogle Scholar
- North Estonian Blood Center. [http://www.verekeskus.ee]
- Blood Centre of the Tartu University Clinics. [http://www.kliinikum.ee/verekeskus]
- Diagnostics Division Laboratory of the North Estonia Medical Centre. [http://www.regionaalhaigla.ee/?op=body&id=50]
- Estonian Accreditation Centre. [http://www.eak.ee/index_eng.php?pageCus=head&head=3]
- European co-operation for Accreditation. [http://www.european-accreditation.org]
- EURACHEM guidelines. [http://www.eurachem.org/]
- Levey AS, Coresh J, Balk E, Kausz AT, Levin A, Steffes MW, Hogg RJ, Perrone RD, Lau J, Eknoyan G: National Kidney Foundation practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Annals of internal medicine. 2003, 139 (2): 137-147.View ArticlePubMedGoogle Scholar
- Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D: A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Annals of internal medicine. 1999, 130 (6): 461-470.View ArticlePubMedGoogle Scholar
- Kepp K, Juhanson P, Kozich V, Ots M, Viigimaa M, Laan M: Resequencing PNMT in European hypertensive and normotensive individuals: no common susceptibilily variants for hypertension and purifying selection on intron 1. BMC Med Genet. 2007, 8: 47-10.1186/1471-2350-8-47.View ArticlePubMedPubMed CentralGoogle Scholar
- Hallast P, Rull K, Laan M: The evolution and genomic landscape of CGB1 and CGB2 genes. Molecular and cellular endocrinology. 2007, 260–262: 2-11. 10.1016/j.mce.2005.11.049.View ArticlePubMedPubMed CentralGoogle Scholar
- Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, Sham PC: PLINK: a tool set for whole-genome association and population-based linkage analyses. American journal of human genetics. 2007, 81 (3): 559-575. 10.1086/519795.View ArticlePubMedPubMed CentralGoogle Scholar
- Web-based interface for Mann-Whitney two-sided U-test. [http://elegans.swmed.edu/~leon/stats/utest.cgi]
- National Centre for Biotechnology Information (NCBI dbSNP database). [http://0-www.ncbi.nlm.nih.gov.brum.beds.ac.uk/SNP/]
- Crawford DC, Bhangale T, Li N, Hellenthal G, Rieder MJ, Nickerson DA, Stephens M: Evidence for substantial fine-scale variation in recombination rates across the human genome. Nature genetics. 2004, 36 (7): 700-706. 10.1038/ng1376.View ArticlePubMedGoogle Scholar
- Genomatix company webpage. [http://www.genomatix.de/products/MatInspector]
- Zhang Z, Teng CT: Interplay between estrogen-related receptor alpha (ERRalpha) and gamma (ERRgamma) on the regulation of ERRalpha gene expression. Molecular and cellular endocrinology. 2007, 264 (1–2): 128-141. 10.1016/j.mce.2006.11.002.View ArticlePubMedGoogle Scholar
- Boukhtouche F, Mariani J, Tedgui A: The "CholesteROR" protective pathway in the vascular system. Arteriosclerosis, thrombosis, and vascular biology. 2004, 24 (4): 637-643. 10.1161/01.ATV.0000119355.56036.de.View ArticlePubMedGoogle Scholar
- Ito T, Kawahara K, Nakamura T, Yamada S, Nakamura T, Abeyama K, Hashiguchi T, Maruyama I: High-mobility group box 1 protein promotes development of microvascular thrombosis in rats. J Thromb Haemost. 2007, 5 (1): 109-116. 10.1111/j.1538-7836.2006.02255.x.View ArticlePubMedGoogle Scholar
- Ruiz-Ortega M, Esteban V, Egido J: The regulation of the inflammatory response through nuclear factor-kappab pathway by angiotensin IV extends the role of the renin angiotensin system in cardiovascular diseases. Trends in cardiovascular medicine. 2007, 17 (1): 19-25. 10.1016/j.tcm.2006.10.003.View ArticlePubMedGoogle Scholar
- Transcription factor binding site prediction program AliBaba 2.1. [http://darwin.nmsu.edu/~molb470/fall2003/Projects/solorz/aliBaba_2_1.htm]
- Posern G, Treisman R: Actin' together: serum response factor, its cofactors and the link to signal transduction. Trends in cell biology. 2006, 16 (11): 588-596. 10.1016/j.tcb.2006.09.008.View ArticlePubMedGoogle Scholar
- Lim PO, Macdonald TM, Holloway C, Friel E, Anderson NH, Dow E, Jung RT, Davies E, Fraser R, Connell JM: Variation at the aldosterone synthase (CYP11B2) locus contributes to hypertension in subjects with a raised aldosterone-to-renin ratio. The Journal of clinical endocrinology and metabolism. 2002, 87 (9): 4398-4402. 10.1210/jc.2001-012070.View ArticlePubMedGoogle Scholar
- Nicod J, Bruhin D, Auer L, Vogt B, Frey FJ, Ferrari P: A biallelic gene polymorphism of CYP11B2 predicts increased aldosterone to renin ratio in selected hypertensive patients. The Journal of clinical endocrinology and metabolism. 2003, 88 (6): 2495-2500. 10.1210/jc.2002-021598.View ArticlePubMedGoogle Scholar
- Yu HM, Lin SG, Liu GZ, Zhang YQ, Ma WJ, Deng CY: Associations between CYP11B2 gene polymorphisms and the response to angiotensin-converting enzyme inhibitors. Clinical pharmacology and therapeutics. 2006, 79 (6): 581-589.View ArticlePubMedGoogle Scholar
- Potter LR, Abbey-Hosch S, Dickey DM: Natriuretic peptides, their receptors, and cyclic guanosine monophosphate-dependent signaling functions. Endocrine reviews. 2006, 27 (1): 47-72. 10.1210/er.2005-0014.View ArticlePubMedGoogle Scholar
- Iwai N, Baba S, Mannami T, Ogihara T, Ogata J: Association of a sodium channel alpha subunit promoter variant with blood pressure. J Am Soc Nephrol. 2002, 13 (1): 80-85.PubMedGoogle Scholar
- Jain S, Li Y, Patil S, Kumar A: A single-nucleotide polymorphism in human angiotensinogen gene is associated with essential hypertension and affects glucocorticoid induced promoter activity. Journal of molecular medicine (Berlin, Germany). 2005, 83 (2): 121-131.View ArticleGoogle Scholar
- Yamada Y, Matsuo H, Segawa T, Watanabe S, Kato K, Hibino T, Yokoi K, Ichihara S, Metoki N, Yoshida H, Satoh K, Nozawa Y: Assessment of the genetic component of hypertension. Am J Hypertens. 2006, 19 (11): 1158-1165. 10.1016/j.amjhyper.2006.04.010.View ArticlePubMedGoogle Scholar
- Hahn Y, Lee B: Human-specific nonsense mutations identified by genome sequence comparisons. Human genetics. 2006, 119 (1-2): 169-178. 10.1007/s00439-005-0125-6.View ArticlePubMedGoogle Scholar
- Bischof JM, Chiang AP, Scheetz TE, Stone EM, Casavant TL, Sheffield VC, Braun TA: Genome-wide identification of pseudogenes capable of disease-causing gene conversion. Human mutation. 2006, 27 (6): 545-552. 10.1002/humu.20335.View ArticlePubMedGoogle Scholar
- Cummings BS, Zangar RC, Novak RF, Lash LH: Cytotoxicity of trichloroethylene and S-(1, 2-dichlorovinyl)-L-cysteine in primary cultures of rat renal proximal tubular and distal tubular cells. Toxicology. 2000, 150 (1-3): 83-98. 10.1016/S0300-483X(00)00252-3.View ArticlePubMedGoogle Scholar
- Hill-Kapturczak N, Agarwal A: Haem oxygenase-1--a culprit in vascular and renal damage?. Nephrol Dial Transplant. 2007, 22 (6): 1495-1499. 10.1093/ndt/gfm093.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://0-www.biomedcentral.com.brum.beds.ac.uk/1471-2350/9/25/prepub
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.