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A G Comuzzie

Publications and source records attributed to A G Comuzzie.

At least 55 records · Page 3Linked to original sources
PubMed1997

Shared and unique genetic effects among seven HDL phenotypes.

The purpose of this study was to investigate the genetic control of various HDL measures and to determine the proportion of genetic variance explained by shared genes (ie, pleiotropy) and the proportion unique to each trait. The data used were drawn from large, randomly ascertained pedigrees of Mexican Americans participating in the San Antonio Family Heart Study. Data were available for 655 individuals (258 men and 397 women) in 26 families. We performed a multivariate quantitative genetic analysis to simultaneously estimate both the additive genetic and random environmental correlations among seven HDL phenotypes. These seven HDL phenotypes can be divided into two categories: measures of concentration and estimates of particle size. Concentration was measured for apo A-I, apo A-II, esterified cholesterol, and unesterified cholesterol, and particle size was estimated for apo A-I, apo A-II, and esterified cholesterol. The heritabilities (h2) for each of the seven traits were significantly greater than zero (P<.05) and ranged from 0.2 to 0.6. When considered in a pairwise fashion, all combinations of these traits showed marked genetic correlations (rho(G)=0.33 to 0.87) and all were significantly greater than zero (P<.05), indicative of pleiotropic effects. However, we found substantial unique genetic variance for each of these traits even after accounting for the effects shared in common with all the remaining measures. We conclude that the genetic variation in these HDL phenotypes is a result of the action of common as well as unique genes.

Adult↗
PubMed1996

Genetic and environmental contributions to cardiovascular risk factors in Mexican Americans. The San Antonio Family Heart Study.

BACKGROUND: The familial aggregation of coronary heart disease can be in large part accounted for by a clustering of cardiovascular disease risk factors. To elucidate the determinants of cardiovascular disease, many epidemiological studies have focused on the behavioral and lifestyle determinants of these risk factors, whereas others have examined whether specific candidate genes influence quantitative variation in these phenotypes. METHODS AND RESULTS: Among Mexican Americans from San Antonio (Tex), we quantified the relative contributions of both genetic and environmental influences to a large panel of cardiovascular risk factors, including serum levels of lipids, lipoproteins, glucose, hormones, adiposity, and blood pressure. Members of 42 extended families were studied, including 1236 first-, second-, and third-degree relatives of randomly ascertained probands and their spouses. In addition to the phenotypic assessments, information was obtained regarding usual dietary and physical activity patterns, medication use, smoking habits, alcohol consumption, and other lifestyle behaviors and medical factors. Maximum likelihood methods were used to partition the variance of each phenotype into components attributable to the measured covariates, additive genetic effects (heritability), household effects, and an unmeasured environmental residual. For the lipid and lipoprotein phenotypes, age, gender, and other environmental covariates accounted in general for < 15% of the total phenotypic variance, whereas genes accounted for 30% to 45% of the phenotypic variation. Similarly, genes accounted for 15% to 30% of the phenotypic variation in measures of glucose, hormones, adiposity, and blood pressure. CONCLUSIONS: These results highlight the importance of considering genetic factors in studies of risk factors for cardiovascular disease.

Adult↗
PubMed1996

Genetic analysis of the IRS. Pleiotropic effects of genes influencing insulin levels on lipoprotein and obesity measures.

Insulin resistance is part of a metabolic syndrome that also includes non-insulin-dependent diabetes mellitus, dyslipidemia, obesity, and hypertension. It has been hypothesized that insulin resistance represents the primary physiological defect underlying this syndrome. Since insulin resistance is at least partially genetically determined, we hypothesized that genes influencing insulin resistance would have pleiotropic effects on a number of other traits, including triglyceride (TG) and HDL cholesterol levels, body mass index (BMI) and body fat distribution, and blood pressure levels. To investigate this hypothesis, we analyzed data obtained from individuals in 41 families enrolled in the San Antonio Family Heart Study. Statistical methods that take advantage of the relatedness among individuals were used to differentiate between genetic and nongenetic (ie, environmental) contributions to phenotypic variation between traits. Serum levels of fasting and 2-hour insulin (measured in 767 and 743 nondiabetic family members, respectively) were used as a measure of insulin resistance. The genetic correlations were high between insulin levels (both fasting and 2-hour) and each of the following: BMI, HDL level, waist-to-hip ratio, and subscapular-to-triceps ratio, indicating that the same gene, or set of genes, influences each pair of traits. In contrast, the genetic correlations of insulin levels with systolic and diastolic blood pressures were low. We have previously shown that a single diallelic locus accounts for 31% of the phenotypic variation in 2-hour insulin levels in this population. We conducted a bivariate segregation analysis to see if the common genetic effects on insulin and these other traits could be attributable to this single locus. These results indicated a significant effect of the 2-hour insulin locus on fasting insulin levels (P = .02) and BMI (P = .05), with the "high" insulin allele associated with higher levels of fasting insulin but lower levels of BMI. There was no detectable effect of this locus on HDL level, TG level, subscapular-to-triceps ratio, or blood pressure. Overall, these results suggest that a common set of genes influencing insulin levels also influences other insulin resistance syndrome-related traits, although for the most part this pleiotropy is not attributable to the 2-hour insulin level major locus.

Adult↗
PubMed1996

Triiodothyronine exerts a major pleiotropic effect on reverse cholesterol transport phenotypes.

The thyroid hormone triiodothyronine (T3) is known to be a potent mediator of APOA1 gene expression. With the use of multivariate quantitative genetic analysis, we have assessed the magnitude of shared effects of T3 on plasma concentrations of apolipoprotein AI (apo AI) and three related phenotypes: HDL-C, apo AII, and LpAI (which is a concentration of apo AI that contains HDL particles). Maximum likelihood techniques were used to simultaneously estimate mean effects and variance components in large, extended Mexican American families living in San Antonio, Tex. We found that T3 accounted for 16%, 23%, 21%, and 37% of the additive genetic variance in HDL-C, apo AI, apo AII, and LpAI, respectively, while explaining virtually none of the random environmental variance in these phenotypes. T3 also has a pronounced effect on the pairwise genetic correlations among the four phenotypes: After the pleiotropic effects of T3 concentrations are controlled for, the genetic correlations are reduced by 6% in the case of HDL-C and apo AI and 97% for apo AII and LpAI. Thus, genes that influence T3 have a significant effect on HDL-C, apo AI, apo AII, and LpAI and also on the correlations among these phenotypes.

Adolescent↗
PubMed1996

Effects of a major gene for apolipoprotein A-I concentration are thyroid hormone dependent in Mexican Americans.

Apolipoprotein A-I (apoA-I) is the principal protein component of HDL cholesterol. The thyroid hormone triiodothryonine (T3) is known to be a potent mediator of expression of the apoA-I structural gene (APOA1). Using complex segregation analysis, we detected a major gene influencing plasma concentration of apoA-I and examined its interaction with T3 serum level in Mexican Americans participating in the San Antonio Family Heart Study. Strong evidence for a major locus with two alleles (A and a) determining apoA-I level was obtained when interaction with T3 was allowed. The major gene appears not to be linked to the APOA1 structural locus. Genotypes differed significantly in their relationships to T3 level. The AA and Aa genotypes showed a positive relationship with T3 level, while the rarer aa homozygote showed a strong negative relationship with T3. The relative variance in apoA-I concentration due to this major gene varied from 56% to 18%, depending on T3 level. On average, the major gene accounts for 30% of apoA-I variation, and shared-household effects account for an additional 11%. These findings suggest that thyroid hormone has an important role in the genetic control of lipoprotein metabolism.

Adult↗
PubMed1996

Genetic and environmental correlations among hormone levels and measures of body fat accumulation and topography.

In this study we partition the phenotypic correlations between body fat measures and serum levels of hormones with known, or suspected, lipolytic effects into their genetic and environmental components. Using variance decomposition techniques, we are able to estimate the pleiotropic effects of genes and/or shared environmental factors that give rise to the phenotypic correlations previously reported between these traits. We used data from a large sample of randomly ascertained Mexican-American families living in San Antonio, TX. Data were available for 582 individuals in 26 pedigrees. Levels of sex hormone-binding globulin, dehydroepiandrosterone sulfate, insulin, insulin-like growth factor I, total T4, and total T3 were assayed. The measures of body fat accumulation and topography included body mass index, subscapular/triceps ratio, and relative fat patterning index. The results of this analysis demonstrate that significant phenotypic correlations among these traits can arise from three underlying conditions: 1) entirely from shared genetic effects (pleiotropy), 2) entirely from shared random environmental effects, or 3) a combination of both effects. However, we also show that it is possible for significant genetic and environmental correlations to interact in such a way as to produce a phenotypic correlation that itself would not be considered significant.

Adipose Tissue↗
PubMed1995

Plasma HDL cholesterol, triglycerides, and adiposity. A quantitative genetic test of the conjoint trait hypothesis in the San Antonio Family Heart Study.

BACKGROUND: The conjoint trait hypothesis proposes that combined low HDL cholesterol (HDL-C) and high triglyceride (TG) levels represent a single, inherited phenotype that adiposity may influence in an unspecified manner. We conducted formal statistical genetic tests of the conjoint trait hypothesis and the relation of the conjoint trait to adiposity using data for 569 subjects in 25 pedigrees from the San Antonio Family Heart Study. METHODS AND RESULTS: We conducted multivariate genetic analyses to detect the effects of genes and environmental factors on variation in plasma concentrations of HDL-C and TG, fat mass (as percent body weight [FM%], determined by bioelectric impedance), and body mass index (BMI). We used maximum-likelihood methods to simultaneously estimate the phenotypic means and SDs, heritabilities (h2), effects of sex, age-by-sex, eight dietary and medical covariates, and genetic and environmental correlations. Likelihood ratio tests disclosed significant heritabilities (P < .001) for all traits (h2HDL-C = 0.55, h2TG = 0.53, h2FM% = 0.37, h2BMI = 0.44) but significant genetic correlations (P < .001), indicating pleiotropy, between two trait pairs only: HDL-C and TG (PG = -0.52) and fat mass and BMI (PG = 0.86). We obtained significant environmental correlations between all trait pairs except HDL-C and BMI (P > .05). CONCLUSIONS: Both shared genes (pleiotropy) and shared environmental factors contribute to the commonly observed inverse phenotypic association between plasma levels of HDL-C and TG. Rather than low HDL-C and high TG being a single, genetically transmissible entity, it is the inverse relation between these two phenotypes throughout their normal ranges of variation as well as at the extremes that is influenced by shared genes and shared environments. However, common environmental factors, not shared genes, account for reported associations of plasma HDL-C and TG levels with measures of adiposity.

Adipose Tissue↗
PubMed1995

Major gene with sex-specific effects influences fat mass in Mexican Americans.

Increased adiposity has repeatedly been identified as a major risk factor for a variety of chronic diseases. However, the question still remains whether the amount of adipose tissue itself is genetically mediated. To address this question, a segregation analysis, using maximum likelihood techniques as implemented in the computer program Pedigree Analysis Package (PAP), was performed on fat mass (kilograms of body fat) in a large sample of extended Mexican American families residing in San Antonio, TX. The only model not rejected was a Mendelian mixed model for fat mass, incorporating genotype x sex interaction. In males the major gene accounted for 37% of the total variance compared with 43% in females. In both sexes homozygous recessive individuals have a fat mass more than double that of individuals of the other two genotypes. It was possible to reject linkage of the anonymous major gene for fat mass with several candidate loci for obesity. However, tentative evidence of linkage was detected with markers on both chromosomes 2 and 11, thereby providing hypotheses for future testing.

Adolescent↗
PubMed1995

Statistical genetics of normal variation in family data for oligogenic diseases.

A quadrivariate quantitative genetic analysis detected significant heritabilities for four simulated quantitative traits (Q1-Q4) with additive genetic pleiotropy between traits Q1, Q2, and Q3. Using univariate segregation analysis, we tentatively detected five major loci: one each for Q2, Q3, and Q4 and two, at different maxima, for Q1. Bivariate one-locus segregation analysis identified significant major locus pleiotropy for Q1, Q2, and Q3 only; and suggested identity between one of Q1's major genes and that for Q2, and between the second Q1 major gene and that for Q3. Patterns of linkage, supportive of inferences from the bivariate segregation analyses, were detected between three candidate genes and the major genes for Q1, Q2 and Q4.

Alleles↗
PubMed1995

A major locus influencing plasma high-density lipoprotein cholesterol levels in the San Antonio Family Heart Study. Segregation and linkage analyses.

To detect and measure the effects of a single locus on quantitative variation in plasma concentrations of HDL cholesterol (HDL-C), we conducted statistical genetic analyses on data from 526 Mexican American individuals in 25 randomly ascertained pedigrees. By using maximum-likelihood complex segregation analysis, we found evidence for a major locus with a codominant mixture model that included the phenotypic means, standard deviations, relative frequency of a low HDL-C allele, and heritability for plasma HDL-C levels, plus the effects of sex (genotype specific), age-by-sex, age2-by-sex, plasma concentrations of apolipoprotein (apo)AI and triglycerides (genotype specific), exogenous sex hormone use, and menopausal status under an unrestricted general model. Inclusion of the four covariates (in addition to the sex and age-by-sex effects) accounted for nearly 79% of the variance in total plasma HDL-C levels. Of the remaining 21% of the variance, the detected major locus accounted for approximately 55% in men and 21% in women; the total genetic contributions to the variance by genes were approximately 82% in men and 69% in women. Linkage analyses with penetrance parameter estimates from the segregation analysis excluded tight linkage between the detected major locus and markers for the following candidate loci: the apoAI/apoCIII genomic region (P < .05), apoB (P < .01), hepatic lipase (P < .001), lipoprotein lipase (P < .001), and the LDL receptor (P < .001). While not excluding the apoE locus (LOD = -0.348, P < .21), the analysis provided no support for tight linkage between it and the detected major locus.

Adolescent↗
PubMed1995

Population relationships among historical and modern indigenous Siberians based on anthropometric characters.

A comparison of anthropometric data recently collected from a modern population of Evenki and data collected from a group of Evenki at the turn of the century by the Jesup expedition (Boas 1903) reveals a pattern of significant changes over this time period. The modern Evenki exhibit larger sitting height and biacromial breadth but smaller bizygomatic and nasal breadth and a shorter face. Although the differences in the postcranial characters might be attributable to improvements in health and nutrition over time, those of the head and face might also indicate increased gene flow, perhaps from European populations. The comparative analysis of the anthropometric data was expanded to a multivariate approach by use of canonical variate analysis. This analysis was performed using data from the 10 populations sampled during the Jesup expedition along with the data from a sample of modern Evenki. In general, a pattern of relationships emerged, reflecting known population interactions and linguistic affiliations to a certain extent. However, the sample of modern Evenki differed substantially from all the other samples in the analysis. Although such a separation of the modern Evenki from this set of historical Siberian populations may be the result of a secular trend; it is also highly probable that it reflects new patterns of gene flow resulting from interactions and events associated with Russian colonial expansion and in this century the establishment of the Soviet state.

Adolescent↗
PubMed1995

VNTR DNA variation in Siberian indigenous populations.

The VNTR loci D7S104, D11S129, D18S17, D20S15, and D21S112 in three indigenous Siberian populations were analyzed to determine the populations' genetic structure. Using the Kolmogorov-Smirnov test, we found that the Siberian indigenous populations of Surinda and Sulamai are separated at the D11S129 locus (p < 0.05). However, the population of Poligus is genetically homogeneous compared with the villages of Sulamai and Surinda. Principal component plots for the sets of VNTR loci cluster the Siberian groups together, reflecting the homogeneity of these populations. An analysis of mean per locus heterozygosity versus the distance from the centroid of distribution suggests gene flow into Sulamai but little genetic exchange with Surinda and Poligus. Ultimately, the VNTR data reflect the genetic distinctiveness of the Kets and the Evenki.

Alleles↗
PubMed1994

Genetic and environmental correlations among skinfold measures.

A bivariate genetic analysis, utilizing variance decomposition techniques based on maximum likelihood methods, was undertaken to examine the genetic and environmental correlations among eight skinfolds in a large pedigreed sample of Mexican Americans from San Antonio, Texas. The resulting correlation coefficients reveal significant values for both the genetic and environmental components among the traits examined. The genetic correlation coefficients showed the highest values between skinfolds from the same region (i.e., triceps, biceps, and forearm), while the environmental correlation remained fairly constant between all traits. These findings are further supported by a principal component analysis of the phenotypic, genetic, and environmental correlation matrices. This represents the first study to partition the phenotypic correlation between these traits into their genetic and environmental components. An examination of the graphical representations of the eigenvectors of these correlation matrices reveals that the patterns of central versus peripheral fat distribution seen in the phenotypic correlation matrix are largely a function of the genetic correlation structure. All these findings are interpreted as evidence of a global pleiotropic effect in the genetic expression of these traits, with what might be secondary regional pleiotropic effects among specific subsets of the skinfolds. In addition it appears that these pleiotropic effects exist against a background of a relatively constant shared environmental effect. It is concluded that these traits are not independent with respect to either shared genetic or environmental influences.

Adolescent↗
PubMed1993

mtDNA variation of aboriginal Siberians reveals distinct genetic affinities with Native Americans.

The mtDNA variation of 411 individuals from 10 aboriginal Siberian populations was analyzed in an effort to delineate the relationships between Siberian and Native American populations. All mtDNAs were characterized by PCR amplification and restriction analysis, and a subset of them was characterized by control region sequencing. The resulting data were then compiled with previous mtDNA data from Native Americans and Asians and were used for phylogenetic analyses and sequence divergence estimations. Aboriginal Siberian populations exhibited mtDNAs from three (A, C, and D) of the four haplogroups observed in Native Americans. However, none of the Siberian populations showed mtDNAs from the fourth haplogroup, group B. The presence of group B deletion haplotypes in East Asian and Native American populations but their absence in Siberians raises the possibility that haplogroup B could represent a migratory event distinct from the one(s) which brought group A, C, and D mtDNAs to the Americas. Our findings support the hypothesis that the first humans to move from Siberia to the Americas carried with them a limited number of founding mtDNAs and that the initial migration occurred between 17,000-34,000 years before present.

Americas↗
PubMed1990

Biochemical heterozygosity and morphological variability: interpopulational versus intrapopulational analyses.

The literature is replete with articles suggesting the existence of a relationship between variability at biochemical loci and morphological variation in various animal populations, including humans. With few exceptions these previous studies have utilized an interpopulational approach by examining levels of heterozygosity between modal and extreme phenotypes, typically by use of analysis of variance. Here we consider these purported relationships in a midwestern Mennonite population (n = 890) by correlating individual biochemical heterozygosity and deviation from the mean for anthropometric traits. The results of this intrapopulational correlation indicate that (1) with protection for multiple tests, there are few significant correlations and these have low R2 values, and (2) males and females show different patterns of correlation (males negative, females positive). Based on these findings, the results of earlier studies are in question because nonprotected alpha values are used for multiple tests and heterozygosity is calculated on the basis of a few highly heterozygous blood group systems and is assumed to be representative of the heterozygosity for the entire genome. In general, no evidence is found to support the concept of a direct relationship between biochemical heterozygosity and morphological variability.

Adolescent↗
PubMed1989

Enlarged occlusal surfaces on first molars due to severe attrition and hypercementosis: examples from prehistoric coastal populations of Texas.

During an examination of prehistoric samples from the Texas coast, individuals consistently exhibited a suite of traits on the first molars that included severe wear, hypercementosis, and resorption of the buccal margin of the alveolus. The occlusal surface of the tooth was worn below the cervical margin, with the subsequent incorporation of the buccal surface of the buccal roots into the occlusal plane. This expanded occlusal surface, which extends the buccal surface beyond the normal edge of the tooth, is composed of a combination of original enamel, secondary dentin, and cementum. There is a marked rounding of the buccal aspect of the occlusal surface. These conditions were noted in both maxillary and mandibular first molars. The resorption of alveolar bone surrounding the buccal roots resembles resorption associated with periodontal infection and is thought to be the result of severe levels of stress being applied to this portion of the dentition.

Dental Occlusion↗