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Biomedical subjects

J L VandeBerg

Publications and source records attributed to J L VandeBerg.

At least 19 recordsLinked to original sources

A quantitative trait locus on chromosome 16q influences variation in plasma HDL-C levels in Mexican Americans.

OBJECTIVE: We conducted a whole-genome, multipoint linkage screen to localize a previously reported major locus accounting for 56% to 67% of the additive genetic effects on covariate-adjusted plasma HDL cholesterol (HDL-C) levels in Mexican Americans from the San Antonio Family Heart Study (SAFHS). METHODS AND RESULTS: After using complex segregation analysis to recover the major locus in 472 SAFHS participants from 10 genotyped families, we incorporated covariates required to detect that major locus, including plasma levels of triglycerides and apolipoprotein A-I, in a maximum-likelihood-based variance-components linkage screen. Only chromosome 16 exhibited convincing evidence for a quantitative trait locus (QTL), with a peak multipoint log of the odds (LOD)=3.73 (P=0.000034). Subsequent penetrance model-based linkage analysis, incorporating genotypes at the marker locus nearest the multipoint peak (D16S518) into the segregation model, detected linkage with the previously detected major locus (LOD=2.73, P=0.000642). Initial estimates place this QTL within a 15-cM region of chromosome 16q near the structural loci for lecithin:cholesterol acyltransferase (LCAT) and cholesteryl ester transfer protein (CETP). CONCLUSIONS: A QTL influencing plasma levels of HDL-C in Mexican Americans from San Antonio maps to a region of human chromosome 16q near LCAT and CETP.

Adolescent↗

Genetics of leptin expression in baboons.

OBJECTIVE: Leptin gene expression is higher in females than in males, and is regulated by many factors including energy intake and insulin, but little is known about the inheritance of leptin gene expression. We have investigated leptin (LEP) gene express-ion, to determine whether it is heritable, and whether the difference in LEP expression between males and females has a genetic component. STUDY POPULATION: A total of 319 baboons (Papio hamadryas) (220 females, 99 males) from a captive, pedigreed colony. MEASUREMENTS AND METHODS: We cloned a baboon LEP cDNA, and quantified LEP mRNA expression in baboon omental adipose tissue using a ribonuclease protection assay. In addition, we assayed circulating leptin levels, adipocyte cell volume, and weight. We used maximum likelihood-based variance decomposition methods to determine the genetic architecture of LEP levels, including testing for genotype-by-sex interaction. RESULTS: Omental LEP mRNA expression was significantly and positively correlated with weight and adipocyte cell volume in baboons. Both mRNA and plasma levels of leptin were higher in females than in males, and both measures were heritable. The results of our genetic analysis show that there was a genotype-by-sex interaction in the levels of plasma leptin, but not in omental LEP mRNA. CONCLUSIONS: As in humans, baboon leptin mRNA and protein levels are expressed at a higher level in females than in males. We detected evidence that the plasma levels were affected by genes that are differentially expressed in males and females, while the omental mRNA levels were not. This finding suggests that the genes that differentially regulate plasma leptin levels between males and females may exert their effects on post-transcriptional processes.

Amino Acid Sequence↗

Immune response of male baboons to testis-specific LDH-C(4).

Four sexually mature male baboons (Papio sp.) were immunized with a chimeric peptide containing a B-cell epitope of the testis-specific lactate dehydrogenase (LDH-C(4)) and a promiscuous T-cell epitope of tetanus toxin. LDH-C(4) is the testis-specific isozyme of lactate dehydrogenase, and antibodies to this protein reduce fertility significantly in female nonhuman primates. Animals were immunized on Day 0 and received booster injections at Days 29, 61, and 344 after priming. Serum specific antibodies were determined at regular intervals during the initial 6 months and after the last booster. Testis biopsies were taken at Days 61, 127, and 183 after the primary immunization. Sperm-zona binding was assessed prior to and three times after the last booster. The present study demonstrated that this epitope of LDH-C(4) did not cause autoimmune disease and that sperm from these immunized males had a diminished zona binding capacity. These results suggest that a safe male immunocontraceptive based on development of anti-sperm antibodies may be feasible.

Animals↗

Characterization of baboon (Papio hamadryas) milk proteins.

The major proteins of baboon milk were identified as beta-lactoglobulin (beta LG), alpha-lactalbumin (alpha LA), lysozyme, lactoferrin, casein, and albumin by immobiline isoelectric focusing, SDS-PAGE, immunoblotting of gels with rabbit antisera to human alpha LA, lysozyme, and albumin and bovine beta LG and casein, and N-terminal sequencing of proteins blotted from gels. The first 30 N-terminal residues of baboon beta LG are identical to those of macaque (Macaca fasicularis) beta LG except for a (D/N) polymorphism at residue 2. The complete cDNA sequence and derived amino acid composition of beta LG were elucidated using RT-PCR amplification of poly(A)+ mRNA purified from lactating mammary gland. Baboon beta LG consists of 168 amino acid residues (M(r) 20,750) and is the longest beta LG identified to date. beta LG and alpha LA polymorphisms with three (A, B, and C) and two (A and B) variants, respectively, were detected by immobiline IEF, pH 4-6, of individual baboon milk samples at varying stages of lactation.

Albumins↗

Association among 5-year changes in weight, physical activity, and cardiovascular disease risk factors in Mexican Americans.

Recent changes in lifestyle have led to a global epidemic of obesity. To determine the associations of these changes with cardiovascular disease (CVD) risk, the authors correlated changes in CVD risk factors with changes in weight and physical activity in a population-based sample of 539 Mexican Americans in the San Antonio Heart Study in 1992-1999 who were examined twice approximately 5 years apart. Average weight change during that interval was 2.7 kg. While change in physical activity (expressed as percent change) was associated modestly only with change in low density lipoprotein cholesterol median diameter (p = 0.017), weight change was strongly and positively associated with unfavorable changes in lipid and lipoprotein traits, insulin levels, and blood pressure, explaining 2-10% of the variation in the risk factor changes during the interval. The unfavorable associations with weight gain tended to be more pronounced in lean compared with obese individuals and in men compared with women. However, the associations were significant for most CVD risk factors in all groups. In Mexican Americans, a population at high risk for obesity, weight change was positively correlated with metabolic variables associated with risk of CVD. Therefore, increasing adiposity in this population may tend to slow, or even reverse, the decline in CVD morbidity and mortality.

Adult↗

Comparison of biochemical polymorphisms and short tandem repeat (STR) DNA markers for paternity testing in rhesus monkeys (Macaca mulatta).

Genetic markers are indispensable for molecular and statistical genetic research involving nonhuman primates. Genetic markers must be used to ascertain parentage and to confirm the accuracy of pedigrees based solely on housing or demographic records; otherwise, the results of pedigree, linkage, or quantitative genetic analyses may be unreliable. Until recently, most genetic markers used in nonhuman primates were plasma proteins or isozyme polymorphisms, which were required in large numbers, because levels of genetic variation revealed by these markers were rather low. We compared the newer, PCR-amplified short tandem repeat markers (STRs) with a panel of classical biochemical polymorphic markers, for paternity determination among captive-bred rhesus monkeys. The STR markers exhibited an average genetic diversity of 64% and an expected paternity exclusion probability of 0.443. Both of these were greater than the average 54.5% genetic diversity and 0.298 exclusion probability exhibited by the biochemical markers. The STRs were much more efficient than the biochemical markers for parentage determination, since they required only half the amount of genetic typing data to resolve an average paternity case. Thus, the results of applying these two classes of genetic markers in paternity tests were somewhat different than expected on the basis of theoretical exclusion probabilities. These differences were probably due to inbreeding and other genetic differences among breeding colonies. Because they are more informative and provide rapid and efficient genetic data, STRs are now the method of choice for parentage determination and pedigree corroboration among nonhuman primates.

Animals↗

Human pedigree-based quantitative-trait-locus mapping: localization of two genes influencing HDL-cholesterol metabolism.

Common disorders with genetic susceptibilities involve the action of multiple genes interacting with each other and with environmental factors, making it difficult to localize the specific genetic loci responsible. An important route to the disentangling of this complex inheritance is through the study of normal physiological variation in quantitative risk factors that may underlie liability to disease. We present an analysis of HDL-cholesterol (HDL-C), which is inversely correlated with risk of heart disease. A variety of HDL subphenotypes were analyzed, including HDL particle-size classes and the concentrations and proportions of esterified and unesterified HDL-C. Results of a complete genomic screen in large, randomly ascertained pedigrees implicated two loci, one on chromosome 8 and the other on chromosome 15, that influence a component of HDL-C-namely, unesterified HDL2a-C. Multivariate analyses of multiple HDL phenotypes and simultaneous multilocus analysis of the quantitative-trait loci identified permit further characterization of the genetic effects on HDL-C. These analyses suggest that the action of the chromosome 8 locus is specific to unesterified cholesterol levels, whereas the chromosome 15 locus appears to influence both HDL-C concentration and distribution of cholesterol among HDL particle sizes.

Adult↗

Evidence that multiple genes influence baseline concentrations and diet response of Lp(a) in baboons.

We investigated the response of lipoprotein(a) [Lp(a)] levels to dietary fat and cholesterol in 633 baboons fed a series of 3 diets: a basal diet low in cholesterol and fat, a high-fat diet, and a diet high in fat and cholesterol. Measurement of serum concentrations in samples taken while the baboons were sequentially fed the 3 diets allowed us to analyze 3 Lp(a) variables: Lp(a)(Basal), Lp(a)(RF) (response to increased dietary fat), and Lp(a)(RC) (response to increased dietary cholesterol in the high-fat environment). On average, Lp(a) concentrations significantly increased 6% and 28%, respectively, when dietary fat and cholesterol were increased (P<0.001). As expected, most of the variation in Lp(a)(Basal) was influenced by genes (h(2)=0.881). However, less than half of the variation in Lp(a)(RC) was influenced by genes (h(2)=0.347, P<0. 0001), whereas the increase due to dietary fat alone was not significantly heritable (h(2)=0.043, P=0.28). To determine whether Lp(a) phenotypic variation was due to variation in LPA, the locus encoding the apolipoprotein(a) [apo(a)] protein, we conducted linkage analyses by using LPA genotypes inferred from the apo(a) isoform phenotypes. All of the genetic variance in Lp(a)(Basal) concentration was linked to the LPA locus (log of the odds [LOD] score was 30.5). In contrast, linkage analyses revealed that genetic variance in Lp(a)(RC) was not linked to the LPA locus (LOD score was 0.036, P>0.5). To begin identifying the non-LPA genes that influence the Lp(a) response to dietary cholesterol, we tested, in bivariate quantitative genetic analyses, for correlation with low density lipoprotein cholesterol [LDLC; ie, non-high density lipoprotein cholesterol less the cholesterol contribution from Lp(a)]. LDLC(Basal) was weakly correlated with Lp(a)(Basal) (rho(P)=0.018). However, LDLC(RC) and Lp(a)(RC) were strongly correlated (rho(P)=0. 382), and partitioning the correlations revealed significant genetic and environmental correlations (rho(G)=0.587 and rho(E)=0.251, respectively). The results suggest that increasing both dietary fat and dietary cholesterol caused significant increases in Lp(a) concentrations and that the response to dietary cholesterol was mediated by a gene or suite of genes that appears to exert pleiotropic effects on LDLC levels as well. The gene(s) influencing Lp(a) response to dietary cholesterol is not linked to the LPA locus.

Animals↗

A genome search identifies major quantitative trait loci on human chromosomes 3 and 4 that influence cholesterol concentrations in small LDL particles.

Small, dense LDL particles are associated with increased risk of cardiovascular disease. To identify the genes that influence LDL size variation, we performed a genome-wide screen for cholesterol concentrations in 4 LDL size fractions. Samples from 470 members of randomly ascertained families were typed for 331 microsatellite markers spaced at approximately 15 cM intervals. Plasma LDLs were resolved by using nondenaturing gradient gel electrophoresis into 4 fraction sizes (LDL-1, 26.4 to 29.0 nm; LDL-2, 25.5 to 26.4 nm; LDL-3, 24.2 to 25.5 nm; and LDL-4, 21.0 to 24.2 nm) and cholesterol concentrations were estimated by staining with Sudan Black B. Linkage analyses used variance component methods that exploited all of the genotypic and phenotypic information in the large extended pedigrees. In multipoint linkage analyses with quantitative trait loci for the 4 fraction sizes, only LDL-3, a fraction containing small LDL particles, gave peak multipoint log10 odds in favor of linkage (LOD) scores that exceeded 3.0, a nominal criterion for evidence of significant linkage. The highest LOD scores for LDL-3 were found on chromosomes 3 (LOD=4.1), 4 (LOD=4.1), and 6 (LOD=2.9). In oligogenic analyses, the 2-locus LOD score (for chromosomes 3 and 4) increased significantly (P=0.0012) to 6.1, but including the third locus on chromosome 6 did not significantly improve the LOD score (P=0.064). Thus, we have localized 2 major quantitative trait loci that influence variation in cholesterol concentrations of small LDL particles. The 2 quantitative trait loci on chromosomes 3 and 4 are located in regions that contain the genes for apoD and the large subunit of the microsomal triglyceride transfer protein, respectively.

Adolescent↗

Pleiotropy and genotype by diet interaction in a baboon model for atherosclerosis: a multivariate quantitative genetic analysis of HDL subfractions in two dietary environments.

We investigated dietary effects on pleiotropic relationships among 3 HDL cholesterol (C) subfractions (HDL1-C, HDL2-C, and HDL3-C; levels quantified by gradient gel electrophoresis) for 942 pedigreed baboons (Papio hamadryas) who were fed a basal (Chow) diet and a high cholesterol, saturated fat (HCSF) challenge diet. Using multivariate maximum likelihood methods we estimated heritabilities for all 6 traits, genetic and environmental correlations (rhoG and rhoE) between them, and the additive genetic variance of each subfraction's response to the diets. On the Chow diet, genetic correlations between the 3 subfractions were significant, and we observed complete pleiotropy between HDL1-C and HDL3-C (rhoG=-0.81). On the HCSF diet, only the genetic correlation between HDL1-C and HDL3-C (rhoG=-0.61) was significant. Genetic correlations between individual subfractions on the Chow and HCSF diets did not differ significantly from 1.0, indicating that the same additive genes influenced each subfraction's levels regardless of diet. However, the additive genetic variance of response to the diets was highly significant for HDL1-C and HDL2-C, but not for HDL3-C. Similar sets of genes influence variation in the 3 HDL subfractions on the Chow diet, and the same set influences variation in each subfraction on the HCSF diet. However, the expression of genes influencing HDL1-C and HDL2-C is altered by the HCSF diet, disrupting the pleiotropy observed between the 3 subfractions on the Chow diet.

Animals↗

Absence of a significant mixed lymphocyte reaction in a marsupial (Monodelphis domestica).

Previously we reported preliminary results suggesting that the marsupial Monodelphis domestica fails to exhibit a mixed lymphocyte reaction with allogeneic lymphocytes. To test whether this observation is simply a matter of a response too weak to detect, but capable of being augmented by immunization, we performed mixed lymphocyte culture tests on 23 of these animals that had been immunized with lymphocytes. Despite the fact that all recipients were sensitized to the lymphocytes of the donors, none of the animals had a substantial mixed lymphocyte response. Significant stimulation was noted with the mitogen concanavalin A; thus, the T cells were immunologically competent. It seems likely that the failure of this species to exhibit a significant mixed lymphocyte response is due to T cells whose ontogeny differs from that of the T cells of eutherian mammals.

Animals↗

Serum leptin levels are independently correlated with two measures of HDL.

Leptin is the peptide product of the OB gene, which is associated with obesity in some strains of mice. Because dyslipidemias are frequently associated with obesity, we have begun to characterize the pathways connecting these related traits. In this investigation we tested for correlation of HDL phenotype measures with leptin concentrations using data from 1159 participants in the San Antonio Family Heart Study, a study of risk factors for cardiovascular disease in Mexican Americans living in and around San Antonio, Texas. In a subset of 288 unrelated individuals, we tested for correlation of leptin with nine different measures of HDL phenotype and found that only three were significantly related. However, stepwise regression analysis suggested that only two measures, HDL triglyceride concentrations (HDL-TG) and the proportion of apo A-I on HDL particles larger than HDL3 (Large HDL-apo A-I), were independently correlated with leptin. Because obesity and HDL phenotypes are both under strong genetic control, we conducted a trivariate genetic analysis, using the entire data set, to test the hypothesis that the phenotypic correlations were due to the effects of shared genes (i.e., pleiotropy). Heritabilities for the three traits were estimated to be 0.47 for leptin, 0.46 for HDL-TG, and 0.46 for Large HDL-apo A-I. Results from the genetic analyses revealed that the phenotypic correlation of leptin with HDL-TG was nongenetic (i.e., shared environment), while the phenotypic correlation with Large HDL-apo A-I was due to pleiotropy (i.e., shared genes). These results confirmed the result derived from the subset of unrelated individuals that the two measures of HDL are independently correlated with leptin. To our knowledge, this is the first report of a relationship between leptin and any aspect of lipoprotein phenotype. A better understanding of the genes responsible for this relationship may provide a molecular explanation for the aggregation of atherogenic phenotypes, such as diabetes, obesity, and dyslipoproteinemia.

Adult↗

Characterization of the genetic elements controlling lipoprotein(a) concentrations in Mexican Americans. Evidence for at least three controlling elements linked to LPA, the locus encoding apolipoprotein(a).

Analyses of 1163 samples from the San Antonio Family Heart Study revealed several elements of genetic control of lipoprotein(a) (Lp(a)) concentrations in Mexican Americans. Apolipoprotein(a) (apo(a)) isoform size variation was inversely related to Lp(a) concentrations and explained about 22% of total phenotypic variation. Segregation analyses suggested the existence of a major gene that influenced an additional 41% of total Lp(a) variation. A G-->A polymorphism in the LPA promoter was in strong disequilibrium with apo(a) isoform size, but did not contribute a significant amount of additional information about Lp(a) variation. However, about 25% of variation in Lp(a) concentrations was influenced by additive polygenic effects, which include the effects of null phenotype alleles. Altogether, these genetic components explained 89% of Lp(a) variation, similar to heritability estimates made in several other studies. Apo(a) size variation and the major gene (explaining a total of about 62% of Lp(a) variation) were linked to each other and, as expected, to the plasminogen locus. Thus, together with the well-established null phenotype allele, these different genetic factors represent at least three distinct elements of control exerted at the LPA locus, which encodes the apo(a) protein.

Adult↗

Aldolase C polymorphism in the laboratory opossum, Monodelphis domestica.

A two-allele polymorphism in aldolase C was identified in brain extracts of grey short-tailed opposums, Monodelphis domestica, by electrophoresis in starch or cellulose acetate gels. Pedigree data were consistent with autosomal codominant inheritance. The polymorphism was present in two of the six genetically distinct laboratory populations that have been established for this species.

Alleles↗

Advantages and limitations of nonhuman primates as animal models in genetic research on complex diseases.

The genetic similarity between humans and nonhuman primates makes nonhuman primates uniquely suited as models for genetic research on complex physiological and behavioral phenotypes. By comparison with human subjects, nonhuman primates, like other animal models, have several advantages for these types of studies: 1) constant environmental conditions can be maintained over long periods of time, greatly increasing the power to detect genetic effects; 2) different environmental conditions can be imposed sequentially on individuals to characterize genotype-environment interactions; 3) complex pedigrees that are much more powerful for genetic analysis than typically available human pedigrees can be generated; 4) genetic hypotheses can be tested prospectively by selective matings; and 5) essential invasive and terminal experiments can be conducted. Limitations of genetic research with nonhuman primates include cost and availability. However, the ability to manipulate both genetic and environmental factors in captive primate populations indicates the promise of genetic research with these important animal models for illuminating complex disease processes. The utility of nonhuman primates for biomedical research on human health problems is illustrated by examples concerning the use of baboons in studies of osteoporosis, alcohol metabolism, and lipoproteins.

Animals↗

Novel strategies for eutherian x marsupial somatic cell hybrids: mapping the genome of Monodelphis domestica.

Two hundred thirty-seven independent somatic cell hybrids have been obtained between opossum (Monodelphis domestica) splenocytes, bone marrow cells, or primary fibroblasts, and HPRT-deficient or TK-deficient Chinese hamster, mouse, American mink, or common vole fibroblast lines. Because extreme segregation and fragmentation of marsupial chromosomes commonly occurs in eutherian x marsupial somatic cells hybrids, we developed a rapid primary screening method that enables the identification of primary clones containing a large amount of opossum DNA 20-25 d after fusion. This method, which depends on in situ hybridization of biotin-labeled total opossum DNA on interphase nuclei of hybrid cells fixed on the bottom of microwell plates, was used to screen the 237 hybrid clones; 52 of them had a substantial amount of opossum DNA. G-banding and in situ hybridization of biotin-labeled total opossum DNA on metaphase spreads of the clones enabled identification of 17 hybrid clones containing from two to seven intact chromosomes of M. domestica on the background of Chinese hamster or vole chromosomes. The hybrid clones with intact opossum chromosomes are used in a panel constructed for mapping the opossum genome. Initial mapping results from these clones have led to the tentative assignment of GPI and GOT1 to chromosome 1; 6PGD to chromosome 4; LDHA to chromosome 5; LDHB to chromosome 8; and PGK and G6PD to the X chromosome. On the basis of indirect evidence we also tentatively assigned HPRT to the X chromosome and TK to chromosome 5 of M. domestica. These are the first tentative chromosomal assignments by any technique for this species.

Animals↗