African ancestry was estimated using genetic markers (Infinium HumanExome BeadChip) and ADMIXTURE software.
eTable. Sex and associations of African ancestry with electrocardiographic voltage and cardiac magnetic resonance imaging parameters of LV remodeling in multivariable analysis in black participants.
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Alame AJ, Garg S, Kozlitina J, et al. Association of African Ancestry With Electrocardiographic Voltage and Concentric Left Ventricular Hypertrophy: The Dallas Heart Study. JAMA Cardiol. 2018;3(12):1167–1173. doi:10.1001/jamacardio.2018.3804
Is there a genetic contribution to the increased electrocardiographic voltage and higher prevalence of concentric left ventricular (LV) hypertrophy in black vs white individuals?
In this cohort study including 2077 patients, genetically inferred proportion of African ancestry was associated with increased electrocardiographic voltage and measures of concentric LV hypertrophy as assessed by cardiac magnetic resonance imaging in multivariable models adjusting for age, sex, blood pressure, antihypertensive medication use, and body composition. These associations persisted in analyses restricted to black individuals only.
These data support the possibility that genetic factors mediate, in part, the higher electrocardiographic voltage and predisposition to concentric LV remodeling and LV hypertrophy in black individuals compared with white individuals.
Compared with white individuals, black individuals have increased electrocardiographic voltage and an increased prevalence of concentric left ventricular (LV) hypertrophy. Whether environmental or genetic factors lead to these racial differences is unknown.
To determine whether proportion of genetically determined African ancestry among self-reported black individuals is associated with increased electrocardiographic voltage and concentric LV hypertrophy (LVH).
Design, Setting, and Participants
The Dallas Heart Study is a probability-based cohort study of English- or Spanish-speaking Dallas County, Texas, residents, with deliberate oversampling of black individuals. Participants underwent extensive phenotyping, which included electrocardiography (ECG), cardiac magnetic resonance imaging (CMR), and dual-energy radiography absorptiometry (DEXA) at a single center. Participants aged 18 to 65 years who enrolled in the Dallas Heart Study between July 2000 and December 2002, self-identified as black (n = 1251) or white (n = 826), and had ECG, CMR, and DEXA data were included in this analysis. Data were analyzed from June 2017 to September 2018.
Proportion of African ancestry.
Main Outcomes and Measures
Electrocardiographic voltage (12-lead and 9-lead) and markers of concentric LVH as assessed by CMR (LV concentricity0.67 [LV mass/end-diastolic volume0.67], LV wall thickness [LVWT], and prevalent LVH [defined by LV mass/height2.7]).
Of the 2077 participants included in the study, 1138 (54.8%) were women, and the mean (SD) age was 45.2 (9.9) years. Black race and African ancestry were individually associated with increased ECG voltage, LV concentricity0.67, LVWT, and prevalent LVH in multivariable analyses adjusting for age, sex, systolic blood pressure, antihypertensive medication use, and body composition. When African ancestry and black race were entered together into multivariable models, African ancestry but not black race remained associated with ECG voltage, LVWT, LV concentricity0.67, and prevalent LVH. Among black participants, African ancestry remained associated with these 4 phenotypes (12-lead voltage: β, 0.05; P = .04; LVWT: β, 0.05; P = .02; LV concentricty0.67: β, 0.05; P = .045; prevalent LVH: odds ratio, 1.2; 95% CI, 1.03-1.4; P = .02).
Conclusions and Relevance
Genetically determined African ancestry was associated with electrocardiographic voltage, measures of concentric LV remodeling, and prevalent LVH. These data support a genetic basis related to African ancestry for the increased prevalence of these cardiovascular traits in black individuals.
Compared with white individuals, black individuals are at an increased risk of a number of adverse cardiovascular events, including incident heart failure.1,2 Subclinical cardiovascular phenotypes, including increased electrocardiographic voltage3,4 and prevalent concentric left ventricular hypertrophy (LVH),5 are also more common in black individuals. The basis of these racial differences remains uncertain, including the relative contributions of genetic or environmental factors.6
Geographical ancestry is known to correlate with self-identified race, is a key determinant of genomic variation, and holds the potential to replace race as a construct when making therapeutic decisions.7 Self-identified black individuals in the United States are a genetically admixed population, comprising both African ancestry and European ancestry. Here, we tested whether proportion of African ancestry as assessed by genetic markers was associated with increased electrocardiographic voltage and concentric LV remodeling among self-reported black individuals, hypothesizing that such associations would provide evidence for a genetic contribution to the racial differences in these traits.
The design and methods of the Dallas Heart Study have been described previously.8 In short, the Dallas Heart Study is a probability-based cohort study of noninstitutionalized English- or Spanish-speaking Dallas County, Texas, residents aged 18 to 65 years. Black individuals were oversampled to ensure they comprised 50% of the final study population. Enrollment of eligible participants occurred from July 2000 to December 2002. Participants were invited to participate in 3 stages, consisting of 2 home visits, during which a survey was administered and blood and urine specimens were obtained, and a visit to the University of Texas Southwestern Medical Center, during which electrocardiography (ECG) and imaging studies were obtained. The present study population was restricted to participants who had cardiac magnetic resonance imaging (CMR), dual-energy radiography absorptiometry (DEXA), and ECG data, reported whether they used antihypertensive medications, and self-identified as black (n = 1251) or white (n = 826). Written informed consent was obtained from all participants. The institutional review board of the University of Texas Southwestern approved the study protocol.
We used short-axis, breath-hold, ECG-gated cine CMR images obtained from 2 comparable 1.5-T magnetic resonance imaging systems (Intera and Intera Achieva; Philips Medical Systems).5,6,9 We manually traced endocardial and epicardial borders of slices from the apex to the base of the left ventricle at end diastole using QMass (Medis Medical Imaging Systems). The difference between the end-diastolic epicardial and endocardial contours was multiplied by 1.05 g/mL (specific gravity of myocardium) to allow calculation of LV mass. The papillary muscles were identified independently of the LV wall and included in the myocardial mass (ie, excluded from the LV volume).9 Average LV wall thickness (LVWT) was measured via the short-axis images, excluding the most apical and basal slices, as described previously.9 Interobserver and intraobserver differences and interscan variability have been reported.9
Sex, race, age, and use of antihypertensive medications were self-reported. Systolic blood pressure (SBP) was defined as the average SBP in measures 3 through 5 at the third visit, during which 5 blood pressure measurements were obtained using an automatic oscillometric device validated against catheter measurement of arterial pressure.10 Lean and fat mass were calculated based on DEXA scans using a dual-beam absorption energy unit (Delphi W unit; Hologic Inc) bone densitometer in array mode. Body composition was quantified using Oasis software (Hologic Inc). Left ventricular concentricity0.67 was defined as LV mass/LV end-diastolic volume0.67, which has been shown to be more highly correlated with both LVWT and SBP compared with LV mass/LV end-diastolic volume.11 Left ventricular hypertrophy was defined as 38.1 g/m2.7 or greater for men and 34.1 g/m2.7 or greater for women. Increased LV concentricity0.67 was defined as 7.2 g/mL0.67 or greater for men and 5.8 g/mL0.67 or greater for women.9
Twelve-lead ECG was performed at the third visit and measured using a Marquette Medical System (General Electric) with MAC 5000 hardware and software configuration, which measured rate, rhythm, intervals (PR, QRS, and QT), and voltages. Twelve-lead QRS voltage criteria was calculated by summing the QRS amplitudes from each lead, according to the method of Siegel and Roberts12 in which QRS amplitude was measured from the peak of the R wave to the bottom of the Q or S wave, whichever was deeper. Left ventricular hypertrophy criteria for 12-lead QRS voltage was defined as greater than 123 millimeters. Studies have shown improved sensitivity and specificity by subtracting aVR, aVL, and aVF voltage from the 12-lead QRS voltage because of the redundancy of limb leads to yield 9-lead QRS voltage.13 Left ventricular hypertrophy criteria for 9-lead QRS voltage was defined as greater than 110 millimeters.
To estimate the ancestral admixture of Dallas Heart Study participants, we used genotyping data from the Infinium HumanExome BeadChip version 12.1 (Illumina). A total of 4591 Dallas Heart Study participants, including 2369 self-reported non-Hispanic black participants, 1355 non-Hispanic white participants, 746 Hispanic participants, and 121 participants of other ethnicities, were previously genotyped using the Illumina array. We excluded variants with a genotype call rate less than 99% or a deviation from Hardy-Weinberg equilibrium among African American individuals with a P value less than .0001. We further excluded variants with a minor allele frequency less than 1% and those in high linkage disequilibrium (r2 > 0.1). This process left a total of 25 707 autosomal variants for ancestry estimation. Global admixture proportions were estimated using ADMIXTURE version 1.3.0 software (University of California, Los Angeles), assuming 3 ancestral populations.14
During the first visit of the Dallas Heart Study, participants underwent a computer-assisted structured interview, including questions about race and health beliefs.15 They were asked, “In general, have you ever been discriminated against because of your race or ethnicity?” Responses were categorized as yes or no. Participants who responded that they didn’t know were excluded from the analysis, corresponding to 1.1% of the population.
Continuous variables are expressed as means and SDs, and categorical variables are expressed as numbers and percentages within the group. We first tested whether genetically inferred African ancestry and self-reported black race were associated with ECG and CMR parameters in multivariable linear regression and logistic regression models. Additional covariates in the multivariable models included age, sex, SBP, use of antihypertensive medications, lean mass, and fat mass. Next, we entered both African ancestry and black race into the same multivariable models. In multivariable analyses restricted to black participants, we then tested the association of genetically inferred African ancestry with these phenotypes followed by sex-stratified analyses. We also formally tested for interaction between sex and African ancestry by entering a multiplicative interaction term (sex × African ancestry) into models. β Values are reported as standardized regression coefficients. Finally, we included perceived discrimination as a covariate in multivariable models in the black subgroup. Categorical variables were compared between black and white individuals by the χ2 test and continuous variables by unpaired t tests. In black participants, the percentage of genetically inferred African ancestry was compared between those who did or did not report perceived discrimination by the Wilcoxon rank sum test. P values were 2-tailed, and the level of significance was set at a P value less than .05. Statistical analyses were performed using SAS version 9.4 (SAS Institute).
Compared with the white subgroup, the black subgroup had more women and higher SBP, BMI, lean mass, fat mass, LV mass, 12-lead QRS voltage, 9-lead QRS voltage, LV concentricity0.67, and LVWT (Table 1). The average age and LV ejection fraction was comparable between the 2 groups.
We compared the distribution of genetically inferred African ancestry among self-reported black participants and white participants (Figure). Black participants were estimated to have a mean (SD) of 86.3% (9.1) African and 12.6% (8.7) European ancestry, similar to estimates reported for other African American cohorts. Among self-reported white participants, most (80%) had 0% African ancestry; the mean (SD) proportion of African ancestry was 0.4% (2.6), and the highest African ancestry was 48.8%.
In the entire study cohort, when black race and African ancestry were entered separately into multivariable models, each was associated with increased ECG 12-lead QRS voltage and 9-lead QRS voltage as well as the dichotomized voltage criteria for LVH (Table 2). Next, we entered both black race and African ancestry in the same multivariable model (Table 2). African ancestry but not black race remained significantly associated with 12-lead QRS voltage, 9-lead QRS voltage, and 9-lead LVH criteria. In this analysis, neither African ancestry nor black race were associated with 12-lead LVH criteria (Table 2). To evaluate whether the proportion of African ancestry among black participants was associated with ECG voltage, we examined the association of African ancestry with these variables in analyses restricted to self-reported black participants. In these multivariable models, African ancestry was associated with 12-lead QRS voltage and 9-lead LVH criteria but not with 9-lead voltage or 12-lead LVH criteria (Table 2).
We next assessed the association of black race and African ancestry with measures of LV remodeling (Table 3). As previously reported,5 black race was significantly associated with LV mass and LVH as defined by LV mass/height2.7 criteria. The association of black race with LV mass occurred because of increased LVWT rather than LV dilation; thus, black race was also associated with increased LV concentricity0.67 (continuous or dichotomous). A similar pattern of associations with African ancestry and parameters of increased concentric LV remodeling were noted (Table 3). When both African ancestry and black race were entered together into the same models, African ancestry but not black race remained associated with increased LVWT, LV concentricity0.67 (continuous or dichotomous), and prevalent LVH. To evaluate whether the proportion of African ancestry among black participants would be associated with concentric LV remodeling, we next examined the association of African ancestry with CMR parameters in analyses restricted to self-reported black participants. In these multivariable models, African ancestry was associated with increased LVWT, LV concentricity0.67(continuous or dichotomous), and prevalent LVH (Table 3). For each 10% increase of African ancestry, LVWT increased by 0.05 millimeters.
In sex-stratified analyses in black participants, the associations of African ancestry with electrocardiographic voltage and CMR markers of concentric LVH no longer met conventional levels of statistical significance, likely owing to a reduction in sample size (eTable in the Supplement). Formal interaction testing in the entire black cohort demonstrated that sex did not modify the association of African ancestry with these phenotypes.
Prior studies have examined whether perceived racial discrimination contributes to subclinical cardiovascular disease.15 We performed additional analyses in the black subgroup in which we included perceived discrimination as a covariate in multivariable models. When we adjusted for perceived discrimination in addition to the previously used covariates, African ancestry remained significantly associated with LVWT (β, 0.05; P = .03), while the associations with 12-lead voltage (β, 0.05; P = .054) and LV concentricity0.67 (β, 0.05; P = .052) were not significant. However, the degree of African ancestry was lower in those who perceived racial discrimination. Specifically, the percentage of genetically inferred African ancestry in black participants who did or did not perceive racial discrimination was 85.7% vs 86.7% (P = .047), respectively. In total, these data suggest that the association of African ancestry with concentric LV remodeling is not caused by a higher degree of perceived discrimination in those with higher African ancestry.
Using a large, well-phenotyped, biracial cohort, we demonstrated that markers of African ancestry were more strongly associated with ECG voltage and CMR assessment of concentric LV remodeling and prevalent LVH than self-identified black race. Furthermore, African ancestry remained associated with these cardiac phenotypes in analyses restricted to black participants. These associations were independent of other potential risk factors, including age, sex, SBP, use of antihypertensive medications, and measures of body composition. The association of African ancestry with increased LVWT was independent of perceived discrimination. These data support the possibility that genetic factors mediate, in part, the higher ECG voltage and predisposition to concentric LV remodeling and LVH in black individuals compared with white individuals.
Electrocardiographic voltage in black individuals is increased compared with that in white individuals.3,4 As such, the specificity of traditional ECG criteria for LVH is reduced in black vs white individuals.16 Indeed, some have suggested that race-specific electrocardiographic criteria for LVH are needed.17 The basis of these racial differences remains uncertain. Electrocardiographic voltage can be related to sex, age, hematocrit level, LVWT, thoracic diameter,4 obesity, pericardial fluid, and lung disease, among other parameters. In the current study, African ancestry remained associated with ECG voltage independent of age, sex, and measures of body composition, including body fat. We recognize that the association of African ancestry with ECG voltage may be mediated via the former’s association with concentric LV remodeling. Nevertheless, the association of African ancestry with a subclinical phenotype measured via an entirely distinct modality (ie, ECG) provides additive information to the associations of African ancestry with concentric LV remodeling as measured by CMR.
Left ventricular hypertrophy is more prevalent in black individuals vs white individuals.5,18 In particular, black individuals are at risk of increased LVWT (ie, concentric remodeling) rather than LV dilation.5,19 It is unclear why some patients with hypertension develop increased LVWT and others LV dilation. Undoubtedly, some of the variability in LV remodeling will be caused by unappreciated differences in blood pressure (eg, duration, magnitude, or rate of onset), but the possibility of genetic predisposition to patterns of hypertrophic response is high.19 We previously demonstrated that 2 highly linked nonsynonymous polymorphisms in Corin were present more commonly in black individuals than white individuals and were associated with an increased hypertrophic response to hypertension.20 The current data extend that observation and provide further support of the possibility of a genetic contribution to ethnic differences in the LV hypertrophic response. Of note, genetically inferred African ancestry was not associated with LV end-diastolic volume but rather with phenotypes that are measures of a concentric hypertrophic response (increased LVWT and LV concentricity0.67), consistent with what we have termed thick hypertrophy as opposed to dilated hypertrophy.11
Prior studies have demonstrated that African ancestry is associated with pulmonary and cardiovascular traits. In the Coronary Artery Risk Development in Young Adults study,21 African ancestry was inversely associated with the forced expiratory lung volume in 1 second. The Multi-Ethnic Study of Atherosclerosis investigators demonstrated that African ancestry was inversely associated with N-terminal pro–B-type natriuretic peptide levels.22 Our data are consistent with and substantially extend these previous studies by linking African ancestry with LVH, an important intermediate phenotype on the pathway to heart failure.
There are several limitations to our study. First, the observed associations may be a result of residual confounding from variables other than those adjusted for in multivariable models. However, because of the detailed phenotyping performed in the Dallas Heart Study, we were able to adjust for carefully measured blood pressure, body composition, and self-reported discrimination. Second, the association of ancestry with concentric LV remodeling was not replicated in an independent cohort. However, we were able to demonstrate an association of African ancestry with 2 conditions (increased ECG voltage and concentric LVH) measured by independent modalities, namely the ECG and CMR.
In conclusion, the degree of African ancestry was associated with increased ECG voltage, markers of concentric LV remodeling measured by CMR, and prevalent LVH. These data support the hypothesis that genetic differences between black and white individuals contribute to the higher prevalence of these traits in black individuals.
Accepted for Publication: September 24, 2018.
Corresponding Author: Mark H. Drazner, MD, MSc, Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical School, 5323 Harry Hines Blvd, Dallas, TX 75490-9047 (firstname.lastname@example.org).
Published Online: November 14, 2018. doi:10.1001/jamacardio.2018.3804
Author Contributions: Dr Drazner and Mr Ayers had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Ms Alame and Dr Garg contributed equally.
Study concept and design: Alame, Garg, Kozlitina, Drazner.
Acquisition, analysis, or interpretation of data: All authors.
Drafting of the manuscript: Alame, Kozlitina.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Alame, Garg, Kozlitina, Ayers.
Administrative, technical, or material support: Peshock, Matulevicius.
Study supervision: Garg, Peshock, Matulevicius, Drazner.
Conflict of Interest Disclosures: Ms Alame has received a T35 grant from the National Heart, Lung, and Blood Institute. Dr Kozlitina has received grants from the National Institutes of Health. Dr Peshock has received grants from the Reynolds Foundation and the National Institutes of Health as well as nonfinancial support from Siemens Medical Systems and Philips Medical Systems. Dr Peshock also owns stock in Astra USA, General Electric, Johnson & Johnson, Merck & Co, and Pfizer. Dr Drazner has received grants from the Reynolds Foundation and the National Institutes of Health. No other disclosures were reported.
Funding/Support: The Dallas Heart Study was funded by the Donald W. Reynolds Foundation and was partially supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under grant UL1TR001105. Ms Alame received support from a T35 grant from the National Heart, Lung, and Blood Institute to the University of Texas Southwestern Medical School. Dr Kozlitina received support from the National Center for Advancing Translational Sciences of the National Institutes of Health and grant UL1TR001105 from the Clinical and Translational Science Awards. Dr Drazner received support from the James M. Wooten Chair in Cardiology at the University of Texas Southwestern Medical School.
Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
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