(Hypertension. 1997;30:1025-1028.)
© 1997 American Heart Association, Inc.
Articles |
From the National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Mass (W.S.P., M.G.L., R.H.M., M.G., D.L.); the Division of Cardiology, Beth Israel Hospital, Boston, Mass (D.L.); the Department of Neurology (R.H.M.), Division of Epidemiology and Preventive Medicine (M.G.L., D.L.), Boston University School of Medicine; the National Heart, Lung, and Blood Institute, Bethesda, Md (D.L.), University of Naples, Italy (M.G.); and the Division of Cardiology, Johns Hopkins Hospital, Baltimore, Md (W.S.P.).
| Abstract |
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Key Words: hypertrophy, left ventricular genetics epidemiology echocardiography
| Introduction |
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Epidemiological studies in twins suggest that left ventricular hypertrophy may be influenced by genetic factors, in addition to biological variables that are known to influence left ventricular mass.7 8 Efforts are under way to elucidate possible genetic mechanisms responsible for heritability of left ventricular mass. One candidate gene has been the angiotensin-converting enzyme (ACE) gene. Although an association between the deletion-insertion polymorphism for the ACE gene and the prevalence of left ventricular hypertrophy on the electrocardiogram9 has been reported, we recently found no evidence of an association between the ACE gene polymorphism and echocardiographic left ventricular mass in the Framingham Heart Study cohort.10
The purpose of this investigation was to estimate heritability of left ventricular mass among subjects in the Framingham Heart Study. Recognition of the genetic determinants of left ventricular mass may provide insight into the pathogenesis of left ventricular hypertrophy and may offer clues to its prevention.
| Methods |
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The present sample was derived (see Table 1
) from original Framingham Heart Study
subjects who attended biennial examination sixteen (1979-1981) and
Offspring Study subjects who attended their second examination
(1979-1983). Subjects were excluded if they met any of the following
criteria: (1) current use of antihypertensive medications (n=1269), (2)
coronary heart disease or congestive heart failure (n=315), (3)
diabetes mellitus (n=184), (4) renal insufficiency (n=7), (5)
valvular heart disease (n=70), (6) age <20 years (n=12), (7)
suboptimal echocardiogram for assessment of left
ventricular mass (n=561), and (8) extreme value for left
ventricular mass (n=4) (since as extreme outliers, they
would have undue greater influence in the statistical
analyses).
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To minimize misclassification, original cohort participants were asked about the biological status of their offspring, and many adoptees were recognized at that time and excluded from genetic analyses. Body height and weight measurements, medical history, physical examination, serum creatinine, blood glucose level, and echocardiography were obtained at the routine examination. Resting systolic blood pressure was measured twice by a physician during the clinic examination. The mean of the two measurements was used to determine systolic blood pressure. The diagnoses of coronary heart disease and congestive heart failure were established in accordance with previously published criteria15 after review by a committee of three physicians who evaluated records from the Framingham Heart Study clinic, interim hospitalizations, and outside physicians. Diabetes was defined as a fasting blood glucose level >7.77 mmol/L (140 mg/dL), a random nonfasting blood glucose level >11.11 mmol/L (200 mg/dL), or the use of insulin or an oral hypoglycemic agent. Renal insufficiency was defined as a serum creatinine concentration >2.0 mg/dL. The diagnosis of valvular heart disease was based on evidence from physical examination of a systolic murmur of grade 3 or higher intensity on a six-point scale or any diastolic murmur.
Echocardiographic Methods
Standard M-mode echocardiographic techniques
were used in accordance with methods outlined by the American Society
of Echocardiography.16 Measurements of
left ventricular wall thickness and chamber diameter were
made in diastole. Left ventricular mass was
estimated by the modified cubed formula using measurements obtained in
accordance with the "Penn" convention17 : Left
Ventricular Mass (g)=1.04 [(LVID+
VST+PWT)3(LVID)3]13.6, where LVID is left
ventricular internal diameter, VST is
ventricular septal thickness, and PWT is posterior left
ventricular wall thickness.
Statistical Methods
Preliminary analyses used all subjects who met entry
criteria, regardless of whether they had relatives in the sample.
Several transformations of left ventricular mass were
studied to normalize the distributions and equalize the variances in
male and female subjects. The natural logarithmic transformation proved
best for these tasks, so all further analyses were done on
log-transformed data for left ventricular mass, along with
log-transformed values of continuous predictor variables. Several
linear regression models18 19 were fitted for log left
ventricular mass, separately for men and women, to account
for sex differences, age, height, weight, and systolic blood
pressure, adding variables in the order listed. Residuals from each
fitted model were used in subsequent analyses.
To analyze genetic contributions to left ventricular mass, we performed separate analyses on first-degree relatives (parent-child pairs and sibship members), on second-degree relatives (aunt/uncle and niece/nephew pairs), and also on unrelated subjects (spouse pairs). For each defined relationship, similarity of left ventricular mass residuals among the related members was analyzed by the intraclass correlation method18 to accommodate different numbers of subjects in different families. Estimation and testing were carried out with SAS procedures, NESTED and GLM.19 Because we performed multiple testing, we used P<.01 as the criterion for statistical significance. We included spouse pairs, rather than unrelated individuals living apart, as our comparison group. The purpose was to highlight changes in intraclass correlation as one accounts for variables such as age, height, and weight, which tend to be similar both in spouse pairs and sibling pairs.
Estimates of heritability were derived from the intraclass correlation coefficient, r, as h2=2xr (sibling, sibling), h2=2xr (parent, child), and h2=4xr (aunt/uncle, niece/nephew) to account for the average proportion of genes shared by pair members.20
| Results |
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The means and unadjusted correlations of age, height, weight, and
systolic blood pressures of the subjects grouped into sibling
pairs, parent-child pairs, aunt/uncle-niece/nephew pairs, and spouses
are presented in Table 2
. The
sibling pairs had similar values for these variables and moderate
correlations. The parent-child pairs and aunt/uncle-niece/nephew pairs
represented different generations, and differed with regard
to age, height, weight, and systolic blood pressure. Their
correlations were smaller than those for siblings. The spouse pairs
were of similar ages and had higher unadjusted correlations than
parent-child pairs or aunt/uncle-niece/nephew pairs for age, height,
weight, and systolic blood pressure.
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Intraclass correlations for left ventricular mass among
first-degree relatives, second-degree relatives, and unrelated spouse
pairs were calculated to assess the contribution of heredity to the
variability in left ventricular mass. These are
presented in Table 3
. The
intraclass correlation is a measure of the degree of similarity in left
ventricular mass between subjects. The intraclass
correlations for sex-specific left ventricular mass (model
1) were highest for siblings (r=.24), intermediate for
spouses (r=.11), and lowest for second-degree relatives
(r<.01). After adjustments for age, height, weight, and
systolic blood pressure (model 5), the intraclass correlations
between first-degree relatives were .15 (parent-child,
P<.001) to .16 (siblings, P<.001), between
second-degree relatives the correlation was .06 (P=NS), and
between spouses it was .05 (P=NS).
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For siblings and for spouses, intraclass correlations decreased after adjustments for known determinants of left ventricular mass. Likeness of age and clinical variables among siblings and spouses inflated their similarity with regard to left ventricular mass; when these variables were accounted for, the intraclass correlations declined. In contrast, for parent-child pairs and for second-degree relatives, intraclass correlations increased after adjustments; differences in age and clinical variables likely masked similarities with regard to left ventricular mass.
The proportion of the variance in sex-specific left
ventricular mass explained by age, height, weight, and
systolic blood pressure was .26 in men and .34 in women (Table 4
). Weight was the most important single
predictor of left ventricular mass. Including
systolic blood pressure in the regression equation only
increased the r2 by .01, after age and weight
had been added to the model. On the basis of intraclass correlations
for left ventricular mass, incorporation of adjusted left
ventricular mass of a parent or sibling would increase the
explained variance by an additional .02 to .03 (based on model 5
intraclass correlations squared).
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On the basis of results from model 5, we estimate heritability of adjusted left ventricular mass as being between .24 (estimate from aunt/uncle-niece/nephew correlations) and .32 (sibling-sibling correlations), with an intermediate estimate of .30 from parent-child data.
A supplemental analysis was completed in which subjects
receiving antihypertensive therapy (217 men, 320 women) were included.
There were no appreciable differences in the intraclass correlations
for left ventricular mass, compared with the original
analysis (Table 3
), except in model 5 (including adjustment for
antihypertensive therapy) the intraclass correlation for parent-child
subjects decreased to .12. In addition, the proportion of the variance
in left ventricular mass that was explained by the
predictors (Table 4
) increased to .27 in men and to .37 in women when
antihypertensive therapy was included in the model.
| Discussion |
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The results of this study are consistent with the findings of Harshfield et al7 who found a greater left ventricular mass index intraclass correlation between black monozygotic twins than between black dizygotic twins, after adjusting for sex, systolic blood pressure, and age (.90 versus .33). The higher intraclass correlation between dizygotic twins in that study than between first-degree relatives in our study may be due to a greater degree of environmental similarity influencing left ventricular mass in dizygotic twins than in non-twin siblings or parent-child pairs, possible racial differences in the heritability of left ventricular mass, and differences in sample size.
The heritable contribution to left ventricular mass variance of 2% to 3% is small; however, in some subjects the genetic contribution may be large, whereas in others it may be negligible. In addition, the genetic contribution was greater than that of systolic blood pressure. The systolic blood pressure only increased the r2 by 1% after age, height, and weight were included in the model.
A limitation of this study is that participants in the Framingham Heart Study are predominantly Caucasian. Since left ventricular hypertrophy may be more prevalent among African-Americans,21 it would be important to determine heritability of left ventricular mass in that population. Another limitation is the possibility that the heritability of left ventricular mass is overestimated due to the inability to control for unknown environmental factors that may influence left ventricular mass. In addition, unrelated spouse pairs who share recent environment may not be the optimal comparison group for related siblings who shared early environment. A strength of this study is the large number of subjects included, which allows for greater control for confounding variables and greater precision in the results.
Conclusions
Heredity explains a small, but discernible proportion of the
variance in left ventricular mass. Studies are currently
under way to identify genetic markers that predict an individual's
predisposition to left ventricular hypertrophy.
This knowledge may lead to advances in the prevention of left
ventricular hypertrophy, which is strongly
associated with cardiovascular morbidity and
mortality.
| Footnotes |
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Received July 11, 1996; first decision September 11, 1996; accepted June 5, 1997.
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