当前位置: 首页 > 期刊 > 《循环学杂志》 > 2005年第10期 > 正文
编号:11304681
Corin Gene Minor Allele Defined by 2 Missense Mutations Is Common in Blacks and Associated With High Blood Pressure and Hypertension
http://www.100md.com 《循环学杂志》
     the Donald W. Reynolds Cardiovascular Clinical Research Center (D.L.D., R.V., D.L., S.-I.H., M.H.D.), Division of Cardiology (D.L.D., M.H.D.), and Hypertension Division (R.V., D.L.), University of Texas at Southwestern Medical Center, Dallas

    Department of Preventive Medicine and Epidemiology, Loyola University Stritch School of Medicine, Maywood, Ill (R.S.C., X.W., X.Z.)

    Cardiovascular Branch, National Heart, Lung and Blood Institute, Bethesda, Md (J.E.R.)

    Division of Cardiology (J.E.R., W.P.) and Donald W. Reynolds Cardiovascular Clinical Research Center (W.P.), Johns Hopkins Hospital, Baltimore, Md: and Department of Cardiovascular Research, Berlex Biosciences, Richmond, Calif (Q.W.).

    Abstract

    Background— The natriuretic peptide system contributes to blood pressure regulation. Atrial and brain natriuretic peptides are cleaved into smaller biologically active molecules by corin, a transmembrane serine protease expressed in cardiomyocytes.

    Method and Results— This genotype-phenotype genetic association study included replication samples and genomic control to correct for population stratification. Sequencing of the human corin gene identified 2 nonsynonymous, nonconservative single nucleotide polymorphisms (Q568P and T555I) in near-complete linkage disequilibrium, thus describing a single minor I555 (P568) corin gene allele. This allele was present in the heterozygote state in &12% of blacks but was extremely rare in whites (<0.5% were homozygous for the minor allele). In our primary population sample, the Dallas Heart Study, after adjustment for potential confounders, including population stratification, the corin I555 (P568) allele remained independently associated with increased risk for prevalent hypertension (odds ratio, 1.63; 95% CI, 1.11 to 2.38; P=0.013). The corin I555 (P568) allele also was associated with higher systolic blood pressure in subjects not using antihypertensive medication in unadjusted (133.7±20.7 versus 129.4±17.4 mm Hg; P=0.029) and adjusted (132.5±1.6 versus 128.9±0.6 mm Hg; P=0.029) analyses. The independent association of the minor corin allele with increased risk for prevalent hypertension was confirmed in the Multi-Ethnic Study of Atherosclerosis (odds ratio, 1.50; 95% CI, 1.09 to 2.06; P=0.014). In addition, the association of the minor corin I555 (P568) allele with higher systolic blood pressure was confirmed in adjusted analysis in the Chicago Genetics of Hypertension Study (125.8±1.9 versus 121.4±0.7 mm Hg; P=0.03).

    Conclusions— The corin I555 (P568) allele is common in blacks and is associated with higher blood pressure and an increased risk for prevalent hypertension.

    Key Words: atrial natriuretic factor genes genetics hypertension peptides

    Introduction

    The endogenous cardiac hormonal system refers to the ability of the heart to synthesize and secrete atrial and brain natriuretic peptide (ANP and BNP) into the circulation in response to various hemodynamic stimuli, primarily myocyte stretch.1 Both ANP and BNP defend against hypertension by vasodilatation2 and natriuresis,3 as well as by opposing the actions of both the renin-angiotensin-aldosterone4 and sympathetic nervous systems.5 In mouse models, overexpression of ANP or its receptor has been shown to cause a "dose-dependent" fall in arterial blood pressure6; selective disruption of the ANP gene (ANP–/–) or the natriuretic peptide receptor (NPRA–/–)7,8 has been shown to cause chronic murine hypertension. Whether loss-of-function mutations in the natriuretic peptide pathways contribute to some cases of human hypertension has not been determined.

    Corin is a recently identified transmembrane serine protease that is highly expressed in cardiomyocytes and cleaves inactive pro-ANP and pro-BNP into smaller biologically active molecules.9–11 Here, we describe a corin allele defined by the presence of 2 nonsynonymous, nonconservative (type 1) single nucleotide polymorphisms (SNPs) in near-complete linkage disequilibrium that is enriched in blacks and associated with increased risk for prevalent hypertension and higher blood pressure.

    Methods

    Study Populations

    Dallas Heart Study

    The primary study sample was the Dallas Heart Study (DHS), a multistep probability-based sample of Dallas County residents 18 to 65 years of age. The rationale, design, and sample validation of the DHS have been published.12 Briefly, race/ethnicity was self-assigned by the participants from the structured list of categories used in the Third National Health and Nutrition Examination Survey.13 Blacks were oversampled to ensure a final representation of 50%. Data were collected in 3 sequential visits: Visit 1 (n=6101) was a household interview conducted by trained field interviewers; visit 2 (n=3398) was a home visit in which blood and urine specimens were obtained; and visit 3 (n=2971) was a visit at the University of Texas Southwestern Medical Center during which imaging tests were obtained. We limited our analysis to persons in the DHS who were 35 years of age to increase the positive predictive value of the diagnosis of prevalent hypertension.14 This restricted group included most (76%) of the DHS black participants.

    Multi-Ethnic Study of Atherosclerosis

    The Multi-Ethnic Study of Atherosclerosis (MESA) was initiated in July 2000 to investigate the prevalence, correlates, and progression of subclinical cardiovascular disease in a population-based sample of 6814 men and women 45 to 84 years of age.15 Race/ethnicity was self-assigned. Details of the data collection and quality control have previously been published.15 Unlike the DHS, participants with known cardiovascular disease (eg, previous history of myocardial infarction or heart failure) were excluded. However, a prior diagnosis of hypertension or treatment for hypertension was not an exclusion criterion.

    Chicago Genetics of Hypertension Study

    The Chicago Genetics of Hypertension Study is a population-based sample of black subjects from metropolitan Chicago that comprised one of the cohorts in the International Collaborative Study on Hypertension in Blacks.16,17 Race was ascertained by self-report. Unlike the DHS and MESA, a self-reported history of hypertension or treatment for hypertension was an exclusion criterion. Participants from metropolitan Chicago were recruited from the top and bottom quartiles of body mass index. These individuals then collected 3 consecutive 24-hour urine samples that were assayed for sodium and potassium. The final sample consisted of &200 subjects in each of the bivariate extreme quartiles for body mass index and 24-hour urine sodium excretion.

    Blood Pressure Measurement

    Dallas Heart Study

    A total of 5 independent blood pressure measurements were taken in each individual in the seated position at each of the 2 in-home visits by trained and certified personnel using an automated oscillometric device (Welch Allyn, MC) that has been validated against direct arterial pressure measurements.12,18 A total of 5 serial measurements were made with the automated device. The average of the last 3 of the 5 measurements was considered the blood pressure for that visit. For the present analysis, we averaged the blood pressure from the 2 in-home visits. The group means (and blood pressure distributions) were very similar between the interview sample and the phlebotomy and clinic subsamples.12

    Multi-Ethnic Study of Atherosclerosis

    Formally trained and certified field personnel made blood pressure measurements, and data quality was centrally reviewed by the MESA Data Coordinating Center.15 Resting blood pressure was measured 3 times in subjects in the seated position during a single visit with a Dinamap model Pro 100 automated oscillometric sphygmomanometer (Critikon). The last 2 measurements were averaged.

    Chicago Genetics of Hypertension Study

    Resting blood pressure was measured at a single home visit in subjects in the seated position with an automated Omron cuff device19 by certified and trained field personnel. A total of 4 measurements were made in each patient in the seated position after resting at least 10 minutes. The recorded blood pressure for each participant was the average of the last 3 measurements made with the automated device. Precision and reproducibility of this automated device have been described.20 The within-subject between-visit reproducibility on a subset was consistently high (R20.82).17

    Other Data Collection in the DHS

    Coronary Calcium

    Two consecutive electron-beam CT scans were performed on each study participant.21 In the present analysis, electron-beam CT scores were classified as coronary artery calcium positive when the mean electron-beam CT score was >10 Agatston units or as coronary artery calcium negative when the mean electron-beam CT score was 10 Agatston units as previously reported.21,22

    Estimated Glomerular Filtration Rate

    Glomerular filtration rate was estimated by the Cockroft-Gault equation23 as follows: glomerular filtration rate=(140–age)/(72xserum creatinine). This value was multiplied by 0.85 to estimate the glomerular filtration rate in women.

    Clinical Definitions

    Hypertension

    In both the DHS and MESA, hypertension was defined according to the Joint National Committee criteria as the presence of 1 of the following: (1) self-reported history of hypertension and current use of any antihypertensive medication and (2) systolic blood pressure 140 mm Hg or diastolic blood pressure 90 mm Hg.

    Diabetes Mellitus

    In both the DHS and MESA, diabetes mellitus was defined by 1997 American Diabetes Association criteria as the presence of 1 of the following: (1) a fasting glucose 126 mg/dL or (2) a self-reported history of diabetes mellitus and current use of either insulin or an oral diabetes medication.

    Sequencing and Genotyping

    The corin gene was sequenced in 30 blacks by the UT Southwestern Sequencing Core Laboratory as a component of the Program in Genomic Applications. We focused on exons, the intron/exon boundaries (&30 to 50 nucleotides into the intronic regions), and the 3'- and 5'-flanking regions. The full sequencing results of the corin gene, including all SNPs identified, are available at pga@utsouthwestern.edu. We applied several criteria to prioritize identified SNPs, including a change in amino acid (nonsynonymous), especially those that were biochemically significant (nonconservative) in residues demonstrating conservation among species. Allelic discrimination of the corin variants was accomplished with 5' nuclease assay (Taqman) and an Applied Biosystems Prism 7900 apparatus. Successful genotype determination was made in 99% of subjects in each of the DHS, MESA, and Chicago Genetics of Hypertension Study. Genotyping of markers that are highly informative for ancestry24 was performed with Perlegen Sciences high-density oligonucleotide-hybridization array technology (Perlegen Sciences).25 Genotyping of the DHS black population for these markers demonstrated >96% genotyping success for the 2114 markers.

    Statistical Analysis

    Statistical analyses were conducted with SAS 9.0 and SAS Genetics 9.0 software. Statistical comparisons of means used the Student t test, assuming unequal variances between the groups when statistically appropriate. Comparisons of proportions between groups used Pearson’s 2 statistic. A 2-tailed probability value was used for all analyses, and a 2-sided probability value of 0.05 was considered statistically significant unless otherwise indicated. In multivariate linear and logistic regression analyses in the Dallas Heart Study, we adjusted for the following covariates: Age (continuous variable), gender, body mass index (continuous variable), diabetes, estimated glomerular filtration rate (continuous variable), coronary artery calcium (dichotomous variable), alcohol use, smoking status, and estimated African ancestry (see below). Some of these data were unavailable in our replication cohorts, precluding our ability to adjust for the exact same covariates as in the Dallas Heart Study. In the Multi-Ethnic Study of Atherosclerosis, we were able to adjust for age (continuous variable), body mass index (continuous variable), gender, and diabetes mellitus. In the Chicago Genetics of Hypertension Study, multivariate analysis included adjustment for age (continuous variable), gender, and body mass index (continuous variable). In the Dallas Heart Study and the Chicago Genetics of Hypertension Study, adjusted mean blood pressure parameters were compared between corin genotype groups using adjusted least squares estimates in a generalized linear model. The values for systolic, diastolic, and mean arterial blood pressure are expressed as mean±standard error of the mean.

    If subjects are sampled from 2 subpopulations or from recently admixed populations such as blacks and Mexican Americans for which the frequencies of marker alleles and disease-susceptibility gene alleles differ, spurious associations may arise.26–28 To allow us to control for such hidden population stratification, we genotyped the black participants in the DHS for 2114 SNPs determined to be highly informative of ancestry24,29,30 (see Sequencing and Genotyping above). This final panel of 2114 SNPs was selected from an initial panel of 2270 SNPs according to the following process: Because European Americans can be considered one of the parental populations for African Americans, we first calculated the pairwise r2 values in every chromosome in the European Americans in the DHS and identified 110 sets of adjacent SNPs in strong linkage disequilibrium (r2>0.9). Strong linkage disequilibrium between adjacent markers can seriously bias the estimation of marker location–specific ancestry; therefore, we retained only 1 SNP from each of these pairs in the subsequent analyses. SNPs that departed significantly from Hardy-Weinberg equilibrium are likely to have been inaccurately genotyped, and those associated with values of P<0.001 were also excluded. The remaining SNPs were examined with a hidden Markov model to estimate the marker allele frequencies in the parental populations. If the estimated allele frequencies at adjacent SNPs in 1 ancestral population are equal to 1.0 and 0.0 but in the other ancestral population are equal to 0.0 and 1.0, it indicates strong linkage disequilibrium between these SNPs, and only 1 of these SNPs was kept for admixture mapping. After these data verification procedures, we defined a final analytic set of 2114 SNPs to use in our statistical methods to adjust for hidden population stratification.

    We estimated the marker location–specific ancestry using the hidden Markov model in which the transmission probability was calculated from the continuous gene flow model. This method directly maximizes the likelihood function through an Expectation and Maximization iterative algorithm and allows for the uncertainty of marker allele frequencies in the parental populations (Xiaofeng Zhu, PhD, personal communication, 2005). The ancestry for each individual was estimated with the average ancestry at each marker location across the whole set of SNPs. To adjust for the population stratification, we included this estimated ancestry as a covariate in our linear regression and logistic regression models.

    In addition, we applied the genomic control method by Devlin and Roeder31 to adjust for population stratification in association analysis for hypertension status. In this method, an inflation factor () is first estimated using the ancestry marker panel (genomic control markers). We estimated as =median(Yi2)/0.456, as recommended by Bacanu and colleagues,32 where Yi2, i=1...n, is the 2 statistic for marker i. Then, an adjusted test statistic Y2/ is calculated for the tested marker locus. It follows a 12 distribution under the null hypothesis.

    Results

    Identification and Prevalence of Corin Gene Sequence Variants

    Sequencing of the human corin gene identified 2 nonsynonymous, nonconservative (type 1) SNPs in highly conserved amino acids in exon 12 (Figure 1), corresponding to a cysteine-rich frizzled-like domain. This domain has been identified as critical to the function of the catalytic domain of the protein.33 We genotyped the black participants in the DHS for these 2 SNPs (threonine to isoleucine at amino acid position 555 [T555I], and glutamic acid to proline at amino acid position 568 [Q568P]), which demonstrated that these 2 SNPs were in near-complete linkage disequilibrium. Of the 187 participants in the DHS carrying 1 copy of the P568 allele, 186 also carried 1 copy of the I555 allele. One subject was found to be heterozygous for the Q568P allele but did not carry the I555 allele. The disruption of the linkage disequilibrium in this subject was confirmed by sequencing.

    We genotyped a subsample (&20%) of the blacks in MESA for the 2 SNPs (T555I and Q568P). The 2 SNPs demonstrated complete linkage disequilibrium in this sample. The near-complete linkage disequilibrium for the 2 alleles describes in reality a single corin gene minor allele defined by the presence of both SNPs on the same parental chromosome. We refer to this as the minor corin I555 (P568) allele. To reduce genotyping costs and to conserve DNA, we genotyped the remainder of the MESA subjects and the Chicago Genetics of Hypertension sample for the Q568P SNP only. Among blacks in the 3 cohorts (DHS, MESA, and Chicago Genetics of Hypertension), genotyping demonstrated that &10% to 13% of the blacks were heterozygous and 0.5% were homozygous for the corin T555 (P568) minor allele (Table 1). In each of the cohorts, the I555 (P568) allele was in Hardy-Weinberg equilibrium.

    Baseline Characteristics Stratified by Corin I555 (P568) Allele

    Given the few black homozygotes for the minor corin allele, we grouped them with the heterozygous subjects (corin variant group) and compared them with the remainder of blacks carrying no copy of the minor allele (nonvariant group). The baseline characteristics stratified by corin genotype in the 3 cohorts are shown (Table 2). In the DHS, there were no significant differences between the corin variant and nonvariant groups with regard to demographic and clinical baseline characteristics. However, the mean estimated African ancestry measure (Table 2), derived from the 2114 informative markers (see Methods), was slightly but significantly higher in the corin variant group. Less detailed baseline information was available in MESA and Chicago Genetics of Hypertension, but there were no significant differences between the corin variant and nonvariant groups with regard to age, gender, and body mass index in our 2 validation cohorts or prevalent diabetes in MESA.

    Association of Minor Corin Allele With Prevalent Hypertension and Blood Pressure in the DHS

    As demonstrated in Figure 2, the prevalence of hypertension was significantly greater in the corin variant compared with the nonvariant group (54.5% versus 46.2%; P=0.03). We applied the genomic control method31 to account for potential confounding from population stratification, and the association of the corin variant group with higher prevalent hypertension remained statistically significant (P=0.03). In multivariate logistic regression analysis that included adjustment for differences in population admixture (Table 3), the corin variant group remained at significantly higher risk for prevalent hypertension (odds ratio [OR], 1.63; 95% CI, 1.11 to 2.38; P=0.013). When we included the same covariates but did not adjust for differences in population admixture, the corin variant group remained independently associated with higher risk for prevalent hypertension (OR, 1.57; 95% CI, 1.08 to 2.29; P=0.018).

    We then analyzed the data after excluding the 6 individuals who were homozygous for the minor corin allele (3 of 6, 50%, had hypertension). Multivariate logistic regression analysis that included adjustment for population admixture demonstrated that the corin variant group (all heterozygous individuals for the minor corin allele) remained independently associated with a higher risk for prevalent hypertension (OR, 1.68; 95% CI, 1.14 to 2.48; P=0.009). When we analyzed the entire black cohort, including the subjects <35 years of age, the corin variant group demonstrated an increased risk for prevalent hypertension (OR, 1.51; 95% CI, 1.06 to 2.15; P=0.022) in multivariate analysis using the same covariates as above.

    We next analyzed the association of the corin T555I/Q568P allele with continuous measures of systolic, diastolic, and mean arterial blood pressures in untreated black DHS participants. We defined "untreated" as the black participants with no self-reported use of any type of antihypertensive medication based on the visit 1 survey. As demonstrated in Table 4, the corin variant group compared with the nonvariant group had significantly higher systolic and mean arterial blood pressures and a strong trend for a higher mean diastolic blood pressure in unadjusted analysis. In analysis that included an adjustment for differences in estimated population admixture and other potential confounders, the corin variant group had higher systolic, mean arterial, and diastolic blood pressures compared with the nonvariant group.

    Association of Minor Corin Allele With Prevalent Hypertension and Blood Pressure in the MESA

    We attempted to validate these associations in MESA. MESA was made up of an older population of blacks compared with DHS (Table 2), and the overall prevalence of hypertension was greater. As in DHS, the corin variant group had a higher prevalence of hypertension compared with the nonvariant group (Figure 2). In multivariate logistic regression (Table 5) analysis that included adjustment for age, gender, body mass index, and prevalent diabetes, the presence of the I555 (P568) allele remained independently associated with a higher risk for hypertension in MESA. However, unlike the DHS, when we analyzed the untreated black participants, there were no significant differences in the mean systolic, diastolic, or mean arterial blood pressures in the corin variant and nonvariant groups. Of note, more subjects in the corin variant group (114 of 208, 55%) than in the nonvariant group (728 of 1531, 48%) were being treated with antihypertensive medication (P=0.049) and thus had to be excluded from analysis.

    Assessment of Dose-Response Effect of Minor Corin Allele

    We combined the black participants in the DHS and MESA to examine a genotype-phenotype "dose-response" relationship given the small number of homozygous participants in each of the 2 individual cohorts. There was the suggestion of an increase in the prevalence of hypertension across the genotype groups in the combined cohort: participants homozygous for major allele (1454 of 2789, 52%), heterozygous for minor corin allele (228 of 380, 60%), and homozygous for minor allele (10 of 15, 66%) (P=0.002 for trend). However, the small number of homozygous subjects weakens the strength of this conclusion.

    Association of Minor Corin Allele With Blood Pressure in the Chicago Genetics of Hypertension Study

    The Chicago Genetics of Hypertension Study provided the opportunity to validate the association of the corin I555 (P568) allele with continuous blood pressure parameters because by design all participants were not using antihypertensive medication. The Chicago Genetics of Hypertension Study included a population with an age range (Table 2) similar to that of the black participants in the DHS. Unlike the DHS and MESA, this study excluded participants with a self-reported prior diagnosis of hypertension or the current use of an antihypertensive medication, creating the potential to bias against finding an association of the minor corin allele with higher blood pressure. Nonetheless, despite this potential, the corin variant group demonstrated significantly higher systolic and mean arterial blood pressures (Table 6) and a similar trend for higher diastolic blood pressure. These results persisted in adjusted analysis.

    Discussion

    The data herein describe a minor corin I555 (P568) allele characterized by the presence of 2 nonsynonymous, nonconservative (type 1) SNPs that are enriched in blacks and associated with a higher risk for hypertension and higher blood pressure in untreated individuals. The increasing number of recognized signaling pathways and molecules involved in mammalian blood pressure regulation, small biological effects attributable to single polymorphisms, and conceptual and methodological study limitations have provided significant challenges to dissect the genetic contributions to interindividual variability in blood pressure and risk for the development of hypertension. Lack of reproducibility of genetic association studies for complex traits has created concern for false-positive associations and prompted prominent editorial boards to recommend that investigators seek replication of positive associations in independent population samples.34

    Given these concerns, we believe that the replication of the results demonstrated in our primary cohort, the Dallas Heart Study, in 2 additional, independent population-based cohorts (MESA and Chicago Genetics of Hypertension Study) is a major strength of the present analysis. Such replication reduces the risk for a false-positive association caused by multiple testing. In addition, in our primary cohort (DHS), we were able to control for population stratification, another major cause of false-positive gene association studies, using 2 validated statistical methods employing 2114 highly informative SNPs.24 The corin variant group demonstrated a small but statistically significant greater estimate of African ancestry. However, adjusting our data for population stratification by 2 different methods did not reduce the association of the minor corin allele with a higher risk for prevalent hypertension or the association of the minor corin allele with higher blood pressure. Our approach was based on an analysis of SNPs that were prioritized on the basis of several characteristics described earlier. Such approaches require testing multiple SNPs for association and raises concerns about multiple testing. However, replication of the association to various degrees in 2 independent cohorts reduces the possibility of a type I error. Another approach that we did not use that may increase statistical power and reduce the problem of multiple testing is to incorporate a haplotype-based approach across the candidate gene region.

    Corin is a plausible candidate gene for association with hypertension on the basis of the recognized importance of the natriuretic peptide system to blood pressure regulation.35–38 At the most proximate limb of the natriuretic peptide system, corin is required to process natriuretic peptide precursors effectively into smaller biologically active molecules. Impairment of this process might contribute to altered blood pressure regulation, as suggested recently from the report that homologous deletion of the corin gene in mice results in higher blood pressure and cardiac hypertrophy in the corin gene knockout mice.39 Additionally, the minor corin allele is defined by the presence of 2 missense SNPs, and the amino acid changes are nonconservative, occur in an important functional domain, and demonstrate strong conservation among species. Finally, the magnitude of the increased odds for prevalent hypertension in the corin variant group is consistent with the expected magnitude for a single gene contribution to complex phenotypes, as demonstrated by previous gene association studies for complex traits that have been successfully replicated.40

    Our 3 different cohorts provided complementary strengths to determine the association of the minor corin allele with the risk for higher blood pressure and hypertension. The DHS and Chicago Genetics of Hypertension trials recruited large numbers of younger untreated black subjects, thereby providing the opportunity to test for linear associations with blood pressure levels when analyzed as continuous variables. In contrast, MESA provided the opportunity to confirm the hypothesized association between corin genotype and prevalent hypertension in a significantly older population in which hypertension was very common and antihypertensive treatment had already been initiated in a substantial proportion of participants. However, the greater prevalence of treated hypertension in MESA likely contributed to our inability to replicate the association of the corin minor allele with blood pressure levels in untreated subjects.

    We recognize that in the absence of functional studies, we cannot conclude that the association of the minor corin T555I (Q568P) allele with higher blood pressure and risk for prevalent hypertension was mediated by a reduction in the ability of corin to process pronatriuretic peptides into their biologically active moieties. Rather, T555I and Q568P may be in linkage disequilibrium with another unrecognized causal variant. It is intriguing, however, to hypothesize that T555I and/or Q568P may alter the bioactivity of corin. These polymorphisms result in nonconservative amino acid substitutions within the second cysteine-rich frizzled-like domain in exon 12 of corin. The cysteine-rich frizzled domains are important for Wnt-signaling pathways, protein-protein interactions,41,42 and adequate catalytic activity of corin. Deletion of the first cysteine-rich frizzled domain reduced the ability of corin to process pro-ANP by 40%.33 Similarly, deletion of the second cysteine-rich frizzled-like domain, in which T555I and Q568P are located, reduced the catalytic function of corin by 50% to 60% (Q.W., Berlex Biosciences, personal communication).

    The present study has limitations. Using a candidate gene approach, we have tested multiple SNPs for association with hypertension, which raises concerns about an increased risk of false-positive associations. To reduce this risk, however, we were committed a priori to replication of initial associations in additional independent cohorts. We were unable to replicate the association of the corin genotype with untreated blood pressure levels in MESA, but we reason that this is explained by the small number of untreated hypertensive participants in MESA and the exclusion of persons with known cardiovascular disease, which may have biased against our phenotype of interest. The small number of subjects homozygous for the minor I555 (P568) allele limited our ability to test a genotype-phenotype dose response across the 3 genotype groups.

    It should be acknowledged that despite the demonstrated higher relative odds for prevalent hypertension associated with the minor corin T555I (Q568P) allele, the attributable risk for hypertension associated with the corin T555I/Q568P allele will be modest (&2% to 3%) and cannot explain the excess hypertension in US blacks relative to whites. The potential exists that overemphasis on genetics as a major explanatory factor for health disparities may result in researchers overlooking other equally important factors contributing to these disparities and may inadvertently reinforce racial stereotyping, as recently pointed out by others.43

    In conclusion, the present data demonstrate that the corin I555 (P568) allele was enriched in blacks and was associated with higher blood pressure and a higher risk for prevalent hypertension.

    Acknowledgments

    Drs Dries, Victor, Leonard, Cooper, Rame, and Drazner received support from the Donald W. Reynolds Cardiovascular Clinical Research Center, Dallas, Tex. Drs Dries and Drazner were supported as Reynolds Associates. In addition, Dr Dries received support from the NIH, NHLBI (K23-HL04455). Dr Drazner was the recipient of a Doris Duke Clinical Scientist Development Award from the Doris Duke Charitable Foundation, New York, NY. Dr Cooper received support from the NIH, NHLBI (RO-1 45508; 47910). Drs Cooper and Post are investigators for the NHLBI-funded MESA. Dr Post is a Paul Beeson Physician Faculty Scholars in Aging Research Award recipient and a Reynolds Associate.

    Disclosure

    Dr Wu is consultant for and former employee of Berlex Biosciences.

    References

    Burnett JC Jr. The atrial peptide system in cardiac disease. Am J Hypertens. 1988; 1: 410S–420S.

    Schmitt M, Broadley AJ, Nightingale AK, Payne N, Gunaruwan P, Taylor J, Lee L, Cockcroft J, Struthers AD, Frenneaux MP. Atrial natriuretic peptide regulates regional vascular volume and venous tone in humans. Arterioscler Thromb Vasc Biol. 2003; 23: 1833–1838.

    Beltowski J, Wojcicka G. Regulation of renal tubular sodium transport by cardiac natriuretic peptides: two decades of research. Med Sci Monit. 2002; 8: RA39–RA52.

    Stevens TL, Burnett JC Jr, Kinoshita M, Matsuda Y, Redfield MM. A functional role for endogenous atrial natriuretic peptide in a canine model of early left ventricular dysfunction. J Clin Invest. 1995; 95: 1101–1108.

    Floras JS. Sympathoinhibitory effects of atrial natriuretic factor in normal humans. Circulation. 1990; 81: 1860–1873.

    Barbee RW, Perry BD, Re RN, Murgo JP, Field LJ. Hemodynamics in transgenic mice with overexpression of atrial natriuretic factor. Circ Res. 1994; 74: 747–751.

    Pandey KN, Oliver PM, Maeda N, Smithies O. Hypertension associated with decreased testosterone levels in natriuretic peptide receptor-A gene-knockout and gene-duplicated mutant mouse models. Endocrinology. 1999; 140: 5112–5119.

    Oliver PM, Fox JE, Kim R, Rockman HA, Kim HS, Reddick RL, Pandey KN, Milgram SL, Smithies O, Maeda N. Hypertension, cardiac hypertrophy, and sudden death in mice lacking natriuretic peptide receptor A. Proc Natl Acad Sci U S A. 1997; 94: 14730–14735.

    Wu F, Yan W, Pan J, Morser J, Wu Q. Processing of pro-atrial natriuretic peptide by corin in cardiac myocytes. J Biol Chem. 2002; 277: 16900–16905.

    Yan W, Sheng N, Seto M, Morser J, Wu Q. Corin, a mosaic transmembrane serine protease encoded by a novel cDNA from human heart. J Biol Chem. 1999; 274: 14926–14935.

    Yan W, Wu F, Morser J, Wu Q. Corin, a transmembrane cardiac serine protease, acts as a pro-atrial natriuretic peptide-converting enzyme. Proc Natl Acad Sci U S A. 2000; 97: 8525–8529.

    Victor RG, Haley RW, Willett DL, Peshock RM, Vaeth PC, Leonard D, Basit M, Cooper RS, Iannacchione VG, Visscher WA, Staab JM, Hobbs HH. The Dallas Heart Study: a population-based probability sample for the multidisciplinary study of ethnic differences in cardiovascular health. Am J Cardiol. 2004; 93: 1473–1480.

    US Department of Health and Human Services, National Center for Health Statistics. Third National Health and Nutrition Examination Survey, NHANES III Laboratory Data File. Hyattsville, Md: Centers for Disease Control and Prevention; 1996. Public use data file documentation No. 76200.

    Marshall T. When measurements are misleading: modelling the effects of blood pressure misclassification in the English population. BMJ. 2004; 328: 933.

    Bild DE, Bluemke DA, Burke GL, Detrano R, Diez Roux AV, Folsom AR, Greenland P, Jacob DR Jr, Kronmal R, Liu K, Nelson JC, O’Leary D, Saad MF, Shea S, Szklo M, Tracy RP. Multi-ethnic study of atherosclerosis: objectives and design. Am J Epidemiol. 2002; 156: 871–881.

    Cooper R, Rotimi C, Ataman S, McGee D, Osotimehin B, Kadiri S, Muna W, Kingue S, Fraser H, Forrester T, Bennett F, Wilks R. The prevalence of hypertension in seven populations of west African origin. Am J Public Health. 1997; 87: 160–168.

    Ataman SL, Cooper R, Rotimi C, McGee D, Osotimehin B, Kadiri S, Kingue S, Muna W, Fraser H, Forrester T, Wilks R. Standardization of blood pressure measurement in an international comparative study. J Clin Epidemiol. 1996; 49: 869–877.

    O’Brien E, Mee F, Atkins N, O’Malley K. Inaccuracy of seven popular sphygmomanometers for home measurement of blood pressure. J Hypertens. 1990; 8: 621–634.

    Wu X, Luke A, Rieder M, Lee K, Toth EJ, Nickerson D, Zhu X, Kan D, Cooper RS. An association study of angiotensinogen polymorphisms with serum level and hypertension in an African-American population. J Hypertens. 2003; 21: 1847–1852.

    Cooper R, Puras A, Tracy J, Kaufman J, Asuzu M, Ordunez P, Mufunda J, Sparks H. Evaluation of an electronic blood pressure device for epidemiological studies. Blood Press Monit. 1997; 2: 35–40.

    Jain T, Peshock R, McGuire DK, Willett D, Yu Z, Vega GL, Guerra R, Hobbs HH, Grundy SM. African Americans and Caucasians have a similar prevalence of coronary calcium in the Dallas Heart Study. J Am Coll Cardiol. 2004; 44: 1011–1017.

    Kramer H, Toto R, Peshock R, Cooper R, Victor R. Association between chronic kidney disease and coronary artery calcification: the Dallas Heart Study. J Am Soc Nephrol. 2005; 16: 507–513.

    Trollfors B, Alestig K, Jagenburg R. Prediction of glomerular filtration rate from serum creatinine, age, sex and body weight. Acta Med Scand. 1987; 221: 495–498.

    Smith MW, Patterson N, Lautenberger JA, Truelove AL, McDonald GJ, Waliszewska A, Kessing BD, Malasky MJ, Scafe C, Le E, De Jager PL, Mignault AA, Yi Z, De The G, Essex M, Sankale JL, Moore JH, Poku K, Phair JP, Goedert JJ, Vlahov D, Williams SM, Tishkoff SA, Winkler CA, De La Vega FM, Woodage T, Sninsky JJ, Hafler DA, Altshuler D, Gilbert DA, O’Brien SJ, Reich D. A high-density admixture map for disease gene discovery in African Americans. Am J Hum Genet. 2004; 74: 1001–1013.

    Hinds DA, Stuve LL, Nilsen GB, Halperin E, Eskin E, Ballinger DG, Frazer KA, Cox DR. Whole-genome patterns of common DNA variation in three human populations. Science. 2005; 307: 1072–1079.

    Freedman ML, Reich D, Penney KL, McDonald GJ, Mignault AA, Patterson N, Gabriel SB, Topol EJ, Smoller JW, Pato CN, Pato MT, Petryshen TL, Kolonel LN, Lander ES, Sklar P, Henderson B, Hirschhorn JN, Altshuler D. Assessing the impact of population stratification on genetic association studies. Nat Genet. 2004; 36: 388–393.

    Schork NJ, Fallin D, Thiel B, Xu X, Broeckel U, Jacob HJ, Cohen D. The future of genetic case-control studies. Adv Genet. 2001; 42: 191–212.

    Lander ES, Schork NJ. Genetic dissection of complex traits. Science. 1994; 265: 2037–2048.

    Zhu X, Cooper RS, Elston RC. Linkage analysis of a complex disease through use of admixed populations. Am J Hum Genet. 2004; 74: 1136–1153.

    Zhu X, Luke A, Cooper RS, Quertermous T, Hanis C, Mosley T, Gu CC, Tang H, Rao DC, Risch N, Weder A. Admixture mapping for hypertension loci with genome-scan markers. Nat Genet. 2005; 37: 177–181.

    Devlin B, Roeder K. Genomic control for association studies. Biometrics. 1999; 55: 997–1004.

    Bacanu SA, Devlin B, Roeder K. The power of genomic control. Am J Hum Genet. 2000; 66: 1933–1944.

    Knappe S, Wu F, Madlansacay MR, Wu Q. Identification of domain structures in the propeptide of corin essential for the processing of pro-atrial natriuretic peptide. J Biol Chem. 2004; 279: 34464–34471.

    Freely associating. Nat Genet. 1999; 22: 1–2.

    Burnett JC Jr. Vasopeptidase inhibition: a new concept in blood pressure management. J Hypertens Suppl. 1999; 17: S37–S43.

    Melo LG, Steinhelper ME, Pang SC, Tse Y, Ackermann U. ANP in regulation of arterial pressure and fluid-electrolyte balance: lessons from genetic mouse models. Physiol Genomics. 2000; 3: 45–58.

    Nakayama T. The genetic contribution of the natriuretic peptide system to cardiovascular diseases. Endocr J. 2005; 52: 11–21.

    Lang RE, Unger T, Ganten D. Atrial natriuretic peptide: a new factor in blood pressure control. J Hypertens. 1987; 5: 255–271.

    Chan JC, Knudson O, Wu F, Morser J, Dole WP, Wu Q. Hypertension in mice lacking the proatrial natriuretic peptide convertase corin. Proc Natl Acad Sci U S A. 2005; 102: 785–790.

    Lohmueller KE, Pearce CL, Pike M, Lander ES, Hirschhorn JN. Meta-analysis of genetic association studies supports a contribution of common variants to susceptibility to common disease. Nat Genet. 2003; 33: 177–182.

    Nusse R. WNT targets: repression and activation. Trends Genet. 1999; 15: 1–3.

    Hooper JD, Clements JA, Quigley JP, Antalis TM. Type II transmembrane serine proteases: insights into an emerging class of cell surface proteolytic enzymes. J Biol Chem. 2001; 276: 857–860.

    Sankar P, Cho MK, Condit CM, Hunt LM, Koenig B, Marshall P, Lee SS, Spicer P. Genetic research and health disparities. JAMA. 2004; 291: 2985–2989.(Daniel L. Dries, MD, MPH;)