Biomedical subjects

D C Rao

Publications and source records attributed to D C Rao.

At least 73 records · Page 4Linked to original sources

PubMed2003

Titin is a candidate gene for stroke volume response to endurance training: the HERITAGE Family Study.

A genome-wide linkage scan for endurance training-induced changes in submaximal exercise stroke volume (DeltaSV50) in the HERITAGE Family Study revealed two chromosomal regions (2q31-q32 and 10p11.2) with at least suggestive evidence of linkage among white families. Here we report a further characterization of the quantitative trait locus (QTL) in chromosome 2q31 and provide evidence that titin (TTN) is likely a candidate gene involved. The original linkage was detected with two markers (D2S335 and D2S1391), and the QTL covered approximately 25 million base pairs (Mb). We added 12 microsatellite markers resulting in an average marker density of one marker per 2.3 Mb. The evidence of linkage increased from P = 0.006 to P = 0.0002 and 0.00002 in the multi- and single-point analyses, respectively. The strongest evidence of linkage was seen with two markers in and near the TTN gene. Transmission/disequilibrium test (TDT) with the same marker set provided evidence for association with one of the TTN markers (D2S385; P = 0.004). TTN is a major contributor to the elasticity of cardiomyocytes and a key regulator of the Frank-Starling mechanism. Since TTN is the largest gene in the human genome, the challenge is to identify the DNA sequence variants contributing to the interindividual differences in cardiac adaptation to endurance training.

Chromosome Mapping↗

PubMed2003

Associations between cardiorespiratory responses to exercise and the C34T AMPD1 gene polymorphism in the HERITAGE Family Study.

The associations of the C34T polymorphism of the adenosine monophosphate deaminase 1 (AMPD1) gene with cardiorespiratory phenotypes were tested during cycling exercise at absolute and relative power outputs progressing to exhaustion before and after endurance training for 20 wk in the HERITAGE Family Study cohort (n = 779). Since no blacks were mutant homozygotes (TT), only whites were considered for analysis (400 normal homozygotes, CC; 97 heterozygotes, CT; and 6 TT). For sedentary state, cycling at the absolute power output of 50 W resulted in a higher rating of perceived exertion in TT (P < 0.0001). At the relative intensity of 60% of Vo(2 max), stroke volume was lower in TT (P < 0.05). Maximal values for power output, systolic blood pressure, heart rate, Vco(2), and respiratory exchange ratio were lower in TT (P < 0.05). The cardiorespiratory training response at 50 W and at 60% of Vo(2 max) was similar across C34T-AMPD1 genotypes. However, the maximal values for ventilation, Vo(2), and Vco(2) during exercise increased less in TT (P < 0.01). The results indicate that subjects with the TT genotype at the C34T AMPD1 gene have diminished exercise capacity and cardiorespiratory responses to exercise in the sedentary state. Furthermore, the training response of ventilatory phenotypes during maximal exercise is more limited in TT.

AMP Deaminase↗

PubMed2003

Evidence for a major quantitative trait locus on chromosome 17q21 affecting low-density lipoprotein peak particle diameter.

BACKGROUND: Several lines of evidence suggest that small dense LDL particles are associated with the risk of coronary heart disease. Heritability and segregation studies suggest that LDL particle size is characterized by a large genetic contribution and the presence of a putative major genetic locus. However, association and linkage analyses have thus far been inconclusive in identifying the underlying gene(s). METHODS AND RESULTS: An autosomal genome-wide scan for LDL peak particle diameter (LDL-PPD) was performed in the Québec Family Study. A total of 442 markers were genotyped, with an average intermarker distance of 7.2 cM. LDL-PPD was measured by gradient gel electrophoresis in 681 subjects from 236 nuclear families. Linkage was tested by both sib-pair-based and variance components-based linkage methods. The strongest evidence of linkage was found on chromosome 17q21.33 at marker D17S1301, with an LOD score of 6.76 by the variance-components method for the phenotype adjusted for age, body mass index, and triglyceride levels. Similar results were obtained with the sib-pair method (P<0.0001). Other chromosomal regions harboring markers with highly suggestive evidence of linkage (P< or =0.0023; LOD > or =1.75) include 1p31, 2q33.2, 4p15.2, 5q12.3, and 14q31. Several candidate genes are localized under the peak linkages, including apolipoprotein H on chromosome 17q, the apolipoprotein E receptor 2, and members of the phospholipase A2 family on chromosome 1p as well as HMG-CoA reductase on chromosome 5q. CONCLUSIONS: This genome-wide scan for LDL-PPD indicates the presence of a major quantitative trait locus located on chromosome 17q and others interesting loci influencing the phenotype.

Adult↗

PubMed2003

Designing an optimum genetic association study using dense SNP markers and family-based sample.

Genetic association analysis using thousands of single nucleotide polymorphism (SNP) markers has become a promising alternative to genome-wide linkage scan. Analysis based on linkage-disequilibrium (LD) is more efficient because meiotic information of past generations is utilized. However, in addition to the physical distance between the disease locus and a marker locus, numerous other factors such as admixture, genetic drift, and multiple mutations can affect the observed value of LD. The effect of these factors in a genomic LD association study must be carefully analyzed to obtain an efficient study design. In the following review, we consider studies using family-based data and carefully study the effects of some of these important design factors, including the sample size, frequency of SNP markers, and marker density. For example, we conclude that (1) for reasonably frequent SNP markers, a moderately large sample of 500 families is appropriate for a moderately stringent significance level (alpha = 0.00009); (2) to maintain a power of 80%, maximal difference in allele frequencies between the disease gene and a SNP marker varies between 0.1 (under additive model) and 0.5 (multiplicative); (3) a map density of 10 cM is appropriate only under idea scenario (moderately large sample size, equal trait/marker allele frequencies, maximum LD strength etc.). Results shown here should have practical implications to designing efficient LD association studies using dense SNP markers.

Epidemiologic Research Design↗

PubMed2003

Multivariate and multilocus variance components method, based on structural relationships to assess quantitative trait linkage via SEGPATH.

A general-purpose modeling framework for performing path and segregation analysis jointly, called SEGPATH (Province and Rao [1995] Stat. Med. 7:185-198), has been extended to cover "model-free" robust, variance-components linkage analysis, based on identity-by-descent (IBD) sharing. These extended models can be used to analyze linkage to a single marker or to perform multipoint linkage analysis, with a single phenotype or multivariate vector of phenotypes, in pedigrees. Within a single, consistent approach, SEGPATH models can perform segregation analysis, path analysis, linkage analysis, or combinations thereof. SEGPATH models can incorporate environmental or other measured covariate fixed effects (including measured genotypes), genotype-specific covariate effects, population heterogeneity models, repeated-measures models, longitudinal models, autoregressive models, developmental models, gene-by-environment interaction models, etc., with or without linkage components. The data analyzed can have any missing value structure (assumed missing at random), with entire individuals missing, or missing on one or more measurements. Corrections for ascertainment can be made on a vector of phenotypes and/or other measures. Because of the flexibility of the class of models, the SEGPATH approach can also be used in nongenetic applications where there is a hierarchical structure, such as longitudinal, repeated-measures, time series, or nested models. A variety of specific models are provided, as well as some comparisons with other linkage analysis models. Particular applications demonstrate the importance of correctly accounting for the extraneous sources of familial resemblance, as can be done easily with these SEGPATH models, so as to give added power to detect linkage as well as to protect against spuriously inferring linkage.

Genetic Linkage↗

PubMed2003

Heritability of LDL peak particle diameter in the Quebec Family Study.

LDL size has been associated with the risk of coronary heart disease. The objective of the present study was to verify whether familial factors influence LDL peak particle diameter (LDL-PPD), a quantitative trait reflecting the size of the major LDL subclass. LDL-PPD was measured by 2-16% polyacrylamide gradient gel electrophoresis in 681 members of 236 nuclear families participating in the Quebec Family Study. LDL-PPD was adjusted for age (LDL-PPD1), age and body mass index (LDL-PPD2), or age, body mass index, and plasma triglyceride levels (LDL-PPD3) separately in men and women. The residual scores were used to test for familial aggregation, using an ANOVA and to compute maximum likelihood estimates of familial correlations. The ANOVA test revealed that family lines accounted for 47.4%, 46.7%, and 48.9% of the variance in the LDL-PPD1, LDL-PPD2, and LDL-PPD3 phenotypes, respectively. The pattern of familial correlations revealed no significant spouse correlations but significant parent-offspring and sibling correlations for the three LDL-PPD phenotypes, with maximal heritability estimates of 59%, 58%, and 52% for LDL-PPD1, LDL-PPD2, and LDL-PPD3, respectively. These results suggest that LDL-PPD strongly aggregates in families, and that the familial resemblance appears to be primarily attributable to genetic factors. Genes responsible for this genetic contribution remain to be identified.

Adult↗

PubMed2003

Post-heparin lipolytic enzyme activities, sex hormones and sex hormone-binding globulin (SHBG) in men and women: The HERITAGE Family Study.

We tested the hypothesis that androgen, estrogen, and sex hormone-binding globulin (SHBG) levels would be significantly related to post-heparin hepatic lipase (HL) and lipoprotein lipase (LPL) activities in a sample of Caucasian men (n = 233) and women (n = 235) aged 17-64 years from the HERITAGE Family Study. Body composition (hydrostatic weighing), abdominal adipose tissue distribution (computed tomography), plasma lipid-lipoprotein and hormone levels, and post-heparin lipases activities were measured. HL activity was significantly higher in males, whereas LPL activity was higher in women (P < 0.005). In women only, HL activity was positively associated with body fat mass (r = 0.17, P < 0.05) and intra-abdominal adipose tissue area (r = 0.18, P < 0.05). Significant associations were also found between fasting insulin and LPL activity (r = -0.16, P < 0.05 and r = -0.18, P < 0.005) as well as HL activity (r = 0.22, P < 0.005, and r = 0.27, P < 0.0001) in men and women, respectively. A positive association between total testosterone and HL activity was noted in men (r = 0.13, P = 0.05). In women, plasma SHBG levels were negatively associated with HL activity (r = -0.48, P < 0.0001), and statistical adjustment for body fat mass, visceral adipose tissue area, and fasting insulin did not attenuate this correlation. In multivariate analyses with models including adiposity variables and measurements of the hormonal profile, insulin, and testosterone levels were both independent positive predictors of HL activity in men. In women, hormone use was a significant positive predictor, and SHBG level a strong negative predictor of HL activity, independent of plasma estradiol and testosterone concentrations. Fasting insulin was the only significant predictor of LPL activity in men (negative association), whereas menstrual status, fasting insulin (negative associations), and plasma SHBG levels (positive association) were all independent predictors of LPL activity in women. These results suggest that the postulated sensitivity of lipolytic enzymes to androgens and estrogens is reflected by a strong negative association between SHBG levels and HL, and a lower magnitude positive association of this hormonal parameter to LPL activity in women. These associations appear to be independent from concomitant variation in total adiposity or body fat distribution.

Adipose Tissue↗

PubMed2003

Apolipoprotein AI- and AI:AII-containing lipoproteins in white men and women of the HERITAGE Family study: Associations with metabolic risk profile variables.

It is now well established that an increased high-density lipoprotein (HDL) cholesterol level, especially in the HDL(2) subfraction, is associated with a reduced risk of coronary heart disease (CHD). However, little is known about the associations between the apolipoprotein (apo) composition of HDL and CHD metabolic risk factors. In the present study, we examined the gender differences in plasma concentration of HDL containing apo AI only (LpAI) versus both apoAI and apoAII (LpAI/AII), and also compared their associations with body composition, adipose tissue (AT) distribution, and metabolic risk profile variables. For that purpose, we measured fasting plasma lipoprotein-lipid levels including LpAI and LpAI/AII concentrations in a sample of 215 men and 174 women, all Caucasians, of the HERITAGE Family Study. All subjects underwent anthropometric, body fatness (underwater weighing) and abdominal AT accumulation (computed tomography) measurements. We found that, women had higher LpAI and lower LpAI/AII concentrations compared with men. Whereas in women, LpAI levels were correlated to body fat mass and waist circumference, no association between body composition, fat distribution, and LpAI concentrations was noted in men. Increased LpAI concentrations were associated with higher HDL(2) cholesterol levels in both men and women. Overall, elevated LpAI and LpAI/AII concentrations showed contrasting associations with metabolic risk profile variables as high LpAI, but not LpAI/AII concentrations were associated with a more favorable metabolic risk profile. We also found that high HDL cholesterol appeared to be more closely related to a better metabolic risk profile than high LpAI in both genders. Our results suggest that LpAI and HDL cholesterol levels are good correlates of the metabolic profile, but that HDL cholesterol concentrations could still represent a better index in CHD risk assessment.

Adipose Tissue↗

PubMed2003

Associations of aortic and mitral regurgitation with body composition and myocardial energy expenditure in adults with hypertension: the Hypertension Genetic Epidemiology Network study.

BACKGROUND: It has been reported that aortic regurgitation, mitral valve regurgitation, or both are associated with lower body mass index, an index of body adiposity. However, the relations of valvular regurgitation to body composition and myocardial bioenergetic expenditure have not been previously investigated in a population-based sample. METHODS: We selected 1496 patients with hypertension who did not have diabetes mellitus to participate in the Hypertension Genetic Epidemiology Network (HyperGEN) study. We excluded participants with severe aortic or mitral stenosis or with known coronary heart disease. Bioimpedance was used to assess body composition. Echocardiography was used to assess left ventricular (LV) structure and function and to calculate myocardial workload (expressed as energy expenditure) from end-systolic stress, ejection time, and stroke volume. The study sample was divided into groups without mitral or aortic regurgitation (control subjects, n = 1175), with mild valvular regurgitation (1+, n = 246), and with at least moderate (>or=2+) mitral or aortic regurgitation (n = 75). RESULTS: The mean patient age was higher with more severe valvular insufficiency. Sex distribution and blood pressure were similar among the 3 groups. Body mass index and fat mass were significantly lower with more severe valvular regurgitation, whereas fat-free mass was only slightly lower in the group with >or=2+ regurgitation compared with control subjects. Skinfold thicknesses (brachial and subscapular) were lower with more severe valvular regurgitation, whereas self-reported physical activity per week was similar among the 3 groups. LV mass and circumferential end-systolic stress were higher with more severe valvular regurgitation. Noninvasively estimated myocardial energy expenditure was slightly higher in participants with 1+ valvular regurgitation and was significantly higher with >or=2+ regurgitation. Ejection fraction was mildly lower with >or=2+ aortic insufficiency, mitral insufficiency, or both. Midwall shortening and stress-corrected midwall shortening did not differ among groups. CONCLUSIONS: In a population-based sample of adults with hypertension and without diabetes mellitus, known coronary heart disease, or significant valvular stenosis, mitral and aortic regurgitation were associated with higher LV mass and total myocardial biomechanical workload but with lower body fat mass and slightly lower body fat-free mass, which suggests that global myocardial bioenergetic expenditure is elevated by concomitant valvular regurgitation beyond the effect of pressure overload caused by hypertension.

Adipose Tissue↗

PubMed2003

A dopamine D2 receptor gene polymorphism and physical activity in two family studies.

A role for dopamine neurotransmission in the regulation of motor activity and reinforcement of behavior is supported by considerable evidence. We studied the association between a marker in the dopamine D2 receptor gene (DRD2) and physical activity level in two cohorts. A first cohort consisted of 721 participants from 161 families of the Quebec Family Study (QFS). Physical activity phenotypes were obtained from a three-day diary and a questionnaire probing physical activity during the past year. The second cohort was the HERITAGE Family Study (HERITAGE), which included 275 Black and 497 White participants from 228 families, among whom past year leisure time and occupational physical activity were probed. A fragment length polymorphism in exon 6 of the DRD2 gene was detected by the polymerase chain reaction (PCR) and NcoI digestion. Frequencies for the T and C alleles were 28% and 72% in the QFS. In the QFS, TT homozygote women had 25% and 34% lower age and BMI-adjusted physical activity level during the past year, compared to CC homozygotes and CT heterozygotes (F=4.42, P=.016). The DRD2 genotype was not associated with the QFS phenotypes obtained from the three-day diary. In the HERITAGE, the frequency of the T allele was 30% among Whites and 63% among Blacks. Similarly, the TT homozygote White women had 29-38% lower sports index (F=4.09, P=.023) and 27-33% lower work index (F=6.23, P=.004) than the CC homozygotes and CT heterozygotes. The results suggest that DNA sequence variation in the DRD2 gene is associated with physical activity levels among White women.

Adult↗

PubMed2003

Familial resemblance of adiposity-related parameters: results from a health check-up population in Taiwan.

The mechanisms of obesity is still unclear, however, genetic and environmental factors are two major possible causes of obesity. The purpose of this study was to assess the degree of familial resemblance of different obesity-related parameters in a health check-up population in Taiwan. We measured body mass index (BMI), waist-to-hip ratio (WHR) and percentage of body fat (BFAT) anthropometrics in 1724 members of 431 families participating in the MJ Health Screening program. Each family contributed four members, i.e. father, mother, son, and daughter. All the participants were free from coronary heart disease, hypertension, diabetes, dyslipidemia, and generally in good health. The degree of familial aggregation was measured by heritability that was calculated based on age-adjusted familial (parent-offspring, sibling, spouse) correlations. The maximal heritability estimates were 39, 30 and 35% for BMI, WHR and BFAT, respectively. For WHR, the correlation between spouses was not significant and the heritability appears to be predominantly due to genetic causes. Furthermore, for BMI and BFAT, the spouse correlations were 0.08 and 0.11, respectively. The heritabilities for BMI and BFAT were mostly explained by genetic factors and familial environmental factors such as dietary habits or physical activity. The familial resemblance of various obesity-related parameters was moderate in a health check-up population in Taiwan. While the heritability for WHR appears to be mainly due to genetic factors, the familial resemblance for BMI and percentage of BFAT may involve both genetic and familial environmental factors.

Adiposity↗

PubMed2003

Effects of beta2-adrenergic receptor gene variants on adiposity: the HERITAGE Family Study.

We investigated whether the Arg16Gly and Gln27Glu polymorphisms of the beta2-adrenergic receptor gene were associated with body-fat and fat-distribution phenotypes measured before and in response to a 20-week endurance-training program. BMI, fat mass (FAT), percentage of body fat (%FAT), sum of eight skinfolds (SF8), and abdominal fat areas assessed by computed tomography were measured in adult sedentary white and black participants of the HERITAGE Family Study. Evidence of gene-by-obesity interaction was found in whites for several adiposity phenotypes measured before training. Analyses performed separately in nonobese and obese subjects revealed that obese men carrying the Glu27 allele have lower fat accumulation (BMI, FAT, and %FAT) than noncarriers. Among white obese women, Gly16Gly homozygotes had a lower fat accumulation (BMI, FAT, and SF8) than Arg16Gly and Arg16Arg carriers. In response to endurance training, white women with the Arg16Arg genotype exhibited a greater reduction in BMI, FAT, and %FAT. Results observed in blacks were mostly negative. These results suggest that polymorphisms in the beta2-adrenergic receptor gene influence the amount of body fat in white obese men (Gln27Glu) and women (Arg16Gly), as well as the changes in adiposity in response to endurance training in white women (Arg16Gly).

Adipose Tissue↗

PubMed2003

Interactions among the beta2- and beta3- adrenergic receptor genes and total body fat and abdominal fat level in the HERITAGE Family Study.

OBJECTIVE AND SUBJECTS: Interactions between markers in the beta2- and beta3-adrenergic receptor (ADR) genes and total body fat and computerized tomography-measured abdominal fat phenotypes were studied in the HERITAGE Family Study cohort of Black (n=205; 81 males and 124 females) and White (n=415; 198 males and 217 females) subjects before and after an endurance training program. RESULTS: In Black subjects, beta2- and beta3-ADR gene variants showed evidence of interactions on changes in total body fat mass and abdominal fat area (P<0.005 and =0.010, respectively). Black subjects who were carriers of both beta2-ADR Arg16 and beta3-ADR Arg64 alleles had a greater decrease in total fat mass as well as abdominal total and subcutaneous, but not visceral fat areas in response to endurance training than subjects with other genotype combinations (P from 0.011 to 0.047). After correction for multiple tests, the findings remained essentially unchanged for total body fat mass and abdominal fat area, but became nonsignificant for subcutaneous fat area. The changes in abdominal fat correlated positively with the changes in fat mass (P<0.0001). The interactions between beta2 and beta3-ADR gene markers accounted for a maximum of 3% of the variances in the response of total fat mass and abdominal fat area to endurance training in Black subjects but it was not significant in White subjects. CONCLUSION: Interactions between sequence variants in the beta2-beta3-ADR gene contributed to the changes in fat mass and abdominal adiposity in response to endurance training in Black subjects.

Abdomen↗

PubMed2003

The agouti-related protein and body fatness in humans.

OBJECTIVE: The objective of this study was to examine the impact of a single nucleotide polymorphism (SNP) (-38C>T) in the promoter of the human agouti-related protein (hAgRP) gene on promoter affinity for transcription factors (TFs) and its possible association with body composition phenotypes. DESIGN: Electrophoretic mobility shift assays for the functional studies and association analyses for the population studies. SUBJECTS AND METHODS: Nuclear extracts were isolated from the mouse hypothalamus cell line GT1-7 and subjected to binding assays using oligonucleotide probes corresponding to the -38C>T region and an antibody for the E12/E47 TFs. Individuals (n = 259) from the HERITAGE Family Study were genotyped for the -38C>T SNP and used in the association studies. RESULTS: Electrophoretic mobility shift and supershift assays confirmed binding of the E12/E47 TF to the -38C>T site in a genotype-dependent manner. The T allele was found exclusively in the black subjects while the genotype with the higher binding affinity, CC, was significantly associated with high BMI, fat mass, and percent body fat in the black subjects of the HERITAGE Family Study. CONCLUSIONS: The E12/E47 TF could play a role in the regulation of hAgRP expression while the population studies suggest that the TT genotype of the -38C>T SNP could play a protective role against the development of obesity in the black population of the HERITAGE Family Study.

Adipose Tissue↗

PubMed2003

Lack of pleiotropic genetic effects between adiposity and sex hormone-binding globulin concentrations before and after 20 weeks of exercise training: the HERITAGE family study.

The relationship between sex hormone-binding globulin (SHBG) concentrations and body fat accumulation and distribution is governed by complex dynamic factors, which may involve common genetic and/or environmental factors. The current study investigated the genetic and environmental basis for the correlation between SHBG and body fat. Several measures of adiposity were investigated including body mass index (BMI) and a trunk to extremity skinfold thickness ratio (TER) assessed by anthropometry, body composition measured by hydrostatic weighing (total body fat mass [FM], fat-free mass [FFM], and percent body fat [%BF]), and abdominal fat measured by computerized tomography scanning (abdominal visceral fat [AVF]). The study comprised 501 white subjects from 99 families and 277 black subjects from 117 families participating in the HERITAGE Family Study. Familial correlations between traits and their cosegregation were investigated both at baseline and in response to endurance exercise training. Significant inverse phenotypic correlations were detected in both races between SHBG and adiposity measures at baseline and also in response to training. Significant cross-trait familial resemblance was found between SHBG and both BMI and FFM at baseline that accounted for 11% and 4% of maximal heritability, respectively, in white families. However, a joint segregation analysis of the traits failed to implicate shared genetic effects. Specifically, neither a pleiotropic major locus nor pleiotropic polygenic effects were detected between SHBG and BMI or FFM. A maximal cross-trait heritability of 45% was obtained for SHBG and TER at baseline in black families. However, no firm conclusions as to the etiology of this relationship could be drawn because of the limitations of small sample size. For the training response phenotypes, there was no significant cross-trait correlation between SHBG and any adiposity measures studied here, suggesting that their correlation may have an environmental basis. Therefore, this study fails to support the hypothesis of genetic pleiotropy between SHBG concentrations and body fat phenotypes, and suggests an environmental basis for the correlation, ie, SHBG concentrations are genetically independent of body composition and abdominal adiposity phenotypes.

Adipose Tissue↗

PubMed2003

Genomic scan of glucose and insulin metabolism phenotypes: the HERITAGE Family Study.

Genetic factors play a role in the regulation of glucose metabolism-related traits such as insulin sensitivity (S(I)), insulin secretion, and glucose effectiveness (S(G)). Several genomic scans have been performed to localize genes involved in glucose metabolism-related traits. However, few of these studies have been performed with phenotypes derived from the frequently sampled intravenous glucose tolerance test (IVGTT) using the minimal modeling (MINMOD) approach. Here, we report on such a scan for glucose metabolism-related traits derived from MINMOD analysis of IVGTT data in 322 sibling pairs from 95 sedentary white families and 75 sibling pairs from 49 sedentary black families from the HERITAGE Family Study. In addition to S(I) and S(G), we also considered acute insulin response to a glucose challenge (AIR(Glucose)), which is an index for insulin secretion, and disposition index (DI, product of S(I) and AIR(Glucose)), which is a measure of the activity of pancreatic beta cells corrected for insulin resistance. These traits were adjusted for age, sex, and body mass index (BMI) in each of 8 sex-by-generation-by-race groups, and then standardized residuals were used as the phenotypes in the linkage analyses. Analyses were with the multipoint variance components linkage method, as implemented in the computer program SEGPATH, using 509 markers. Several regions with promising linkages (LOD score >/= 1.75, P </=.0023) were detected. They include five regions (1q41 and 8p23.2 for S(I), 4q32.1 and 10p15.3 for AIR(Glucose), and 13q32.1 for DI) in whites and 2 regions (9p11.2 for S(G) and 10q26.11 for S(I)) in blacks. Three of these regions (4q32.1, 9p11.2, 10p15.3) are likely to harbor genes that influence interindividual variation in glucose metabolism-related traits as they replicate findings from other studies. Fine mapping and association studies of candidate genes within these genomic regions are warranted.

Adolescent↗

PubMed2003

Familial aggregation of exercise heart rate and blood pressure in response to 20 weeks of endurance training: the HERITAGE family study.

Changes of heart rate (HR) and blood pressure (BP) relative to baseline levels in response to an extended period of endurance training are indices of cardiovascular adaptability. Familial influences were investigated for HR and BP at work rates of 50 W and 60 % of the maximal oxygen uptake (VO2max) in response to 20 weeks of endurance training. A total of 481 participants from 99 sedentary White nuclear families in the HERITAGE Family Study (HERITAGE) were analyzed using a familial correlation model. Each of these training response phenotypes was adjusted for the effects of age, BMI, cigarette smoking, baseline VO2max, and its baseline values in fathers, mothers, sons and daughters, respectively. We found that maximal heritabilities reached 34 % and 29 % for HR training responses at 50 W and 60 % of VO2 max, respectively. The heritability was 22 % for systolic BP (SBP) training response at 50 W, but negligible at 60 % of VO2max. No significant heritabilities were found for diastolic BP (DBP) training responses at either 50 W or 60 % of VO2max. Familial influences for exercise HR and BP training responses were also assessed in a total of 257 participants from 113 Black family units in HERITAGE. However, there was no significant familial resemblance, which may be attributable to the small sample size. In conclusion, HR and SBP training responses during submaximal exercise in Whites were influenced by a modest, but significant, familial component. These observations are therefore in contrast to substantial familial effects (heritability estimates of about 50 %) previously reported for these variables measured at baseline.

Adaptation, Physiological↗

PubMed2003

Evidence of major genes for exercise heart rate and blood pressure at baseline and in response to 20 weeks of endurance training: the HERITAGE family study.

Major gene effects on exercise heart rate (HR) and blood pressure (BP) measured at 50 W and 80 % maximal oxygen uptake (VO (2)max) were assessed in 99 White families in the HERITAGE Family Study. Exercise HR and BP were measured both before and after 20 weeks of endurance training. The baseline phenotypes were adjusted for the effects of age and BMI, whereas the training responses (post-training minus baseline) were adjusted for the effects of age, BMI and the corresponding baseline values, within four sex-by-generation groups. Baseline exercise HR at 50 W was under the influence of a major recessive gene and a multifactorial component, which accounted for 30 % and 27 % of the variance, respectively. The training response was found to be under the influence of a major dominant gene, which accounted for 27 % of the variance. These significant major gene effects were independent of the effects of cigarette smoking, baseline VO (2)max, and the resting HR levels. No significant interactions were found between genotype and age, sex, or BMI. No major gene effect was found for exercise BP. Instead, we found the baseline exercise BP at 50 W and 80 % VO (2)max and the training response at 50 W were solely influenced by multifactorial effects, which accounted for about 50 %, 40 % and 20 % of the variance, respectively. No familial resemblance was found for training responses in exercise HR or BP at 80 % VO (2)max. Segregation analysis also was carried out for exercise HR in Whites pooled with a small sample of Blacks in HERITAGE. Similar major effects were found, but the transmission from parents to offspring did not follow Mendelian expectations, suggesting sample heterogeneity. In conclusion, submaximal exercise HR at baseline and in response to endurance training was influenced by putative major genes, with no evidence of interactions with sex, age or BMI, in contrast to a multifactorial etiology for exercise BP.

Black People↗