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BACKGROUND: Albuminuria was shown to be heritable and to share common genetic determinants with blood pressure (BP) in individuals of white ethnicity. Our aim in this study was to examine the familial aggregation of albuminuria and its phenotypic, genetic, and environmental correlations with BP in nondiabetic individuals of Hispanic (HA) and African American (AA) ethnicity. METHODS: The study included 129 large HA and AA families, providing 1405 nondiabetic individuals; those on antihypertensive medications were excluded. The albumin/creatinine ratio (ACR) in a random urine sample was used as a measure of albuminuria. A variance component approach was used in the analysis. RESULTS: After adjusting for age, sex, and body mass index (BMI), the heritabilities of ACR, systolic BP (SBP) and diastolic BP (DBP) were 11%, 26%, and 28%. The phenotypic correlations between ACR and each of SBP and DBP in HA (r = 0.17 and r = 0.16 respectively) and AA (r = 0.26 and r = 0.16) were significant. When partitioned into genetic and environmental factors, the genetic correlations between ACR and each of SBP and DBP were significant in HA (r(g) = 0.49 for each), whereas the environmental correlations were not. Conversely, the genetic correlations between ACR and SBP/DBP were not significant in AA (although with DBP it was not significantly different from that of HA), whereas a significant environmental correlation was observed between ACR and SBP (r(e) = 0.28, P < .001). CONCLUSIONS: Both albuminuria and BP exhibit familial aggregation in nondiabetic HA and AA. In HA, but not in AA, ACR and especially SBP share common genetic determinants. The mechanism of this ethnic heterogeneity is unclear but merits further investigation.
The objective of this study was to estimate breed-specific genetic correlations between lean growth and litter traits for four U.S. swine breeds. Records for lean growth and litter traits on Yorkshire, Duroc, Hampshire, and Landrace pigs collected between 1990 and April 2000 in herds on the National Swine Registry Swine Testing and Genetic Evaluation System were analyzed. A bivariate animal model and restricted maximum likelihood procedures were used to estimate genetic and environmental correlations between lean growth rate, days to 113.5 kg, backfat, and loin muscle area with litter traits of number born alive, litter weight at 21 d, and number weaned. Most genetic correlation estimates between lean growth and litter traits were small in magnitude and consistent across breeds. Backfat had the largest within-breed genetic correlations with number born alive (0.18 to 0.20) and litter weight at 21 d (-0.27 to -0.30). Estimates of genetic correlations between lean growth traits and number weaned were very small. Estimates of the environmental correlations between lean growth and litter traits also were very small for all traits and for all four breeds. Results indicate that selection for lean growth traits could have a long-term effect on litter traits. Including lean growth traits in a maternal-line evaluation using a multiple-trait model could increase the accuracy of the genetic evaluation for litter traits.
In exposure or risk assessments, both environmental and biological measurements are often used. Environmental measurements are an excellent means for evaluating regulatory compliance, but the models used to estimate body burden from these measurements are complex. Unless all possible routes of exposure (i.e., inhalation, dermal absorption, ingestion) are evaluated, exposure to a toxicant can be underestimated. To circumvent this problem, measurements of the internal dose of a toxicant in blood, serum, urine, or tissues can be used singularly or in combination with environmental data for exposure assessment. In three separate laboratories, carbaryl or its primary metabolite, 1-naphthol, was measured in personal air, dermal samples, blood serum, and urine from farmer applicators and their families. The usefulness of both environmental and biological data has been demonstrated. For the farmer applicator, the environmental levels of carbaryl would have been sufficient to determine that an exposure had occurred. However, biological measurements were necessary to determine the absorbed dose of each member of the applicator's family. In addition, a correlation between serum and urinary 1-naphthol measurements has been shown; therefore, either matrix can be used to accurately evaluate occupational carbaryl exposure.
Leptin is secreted primarily by the adipocytes and plays an important role in the regulation of food intake and energy expenditure. In addition to its adipostatic function, it has been demonstrated that leptin directly enhances stromal cell differentiation to osteoblasts, and since such precursor cells are potential targets for leptin, the latter could possibly mediate the relationship between obesity and bone mass and size. To address this question, we studied phenotypic and genetic correlations between the circulating levels of leptin and hand bone size (BS) and geometry (BG) of the radiographic hand in a healthy and ethnically homogeneous sample of pedigrees. We also attempted to evaluate to what extent potential leptin/BS/BG correlations are modified by an individual's obesity traits, specifically his/her BMI. Our research has shown that leptin, BMI and the corresponding bone measures are clearly inherited traits (0.46+/-0.11, 0.35+/-0.16, 0.62+/-0.12 and 0.51+/-0.09, respectively). The bivariate variance component analysis revealed very strong and significant genetic and environmental correlations between circulating leptin and BMI ( r(G)=0.86+/-0.09, r(E)=0.75+/-0.05, P<0.001). Furthermore, genetic correlations between leptin and hand bone characteristics proved inverse and statistically significant ( r(G)=-0.35+/-0.01 and -0.45+/-0.10 for BS and BG, respectively), while corresponding environmental correlations were low ( r(E)=-0.14+/-0.15 and -0.07+/-0.14) and they could be constrained to zero without significant deterioration of the model fit to the data ( P>0.10). However, despite the extremely strong relationship between leptin and BMI, we failed to detect phenotypic or genetic correlations between BMI and our two hand bone measures. Thus our study provided evidence that plasma leptin levels may be statistically significant predictor of hand bone size and geometry, and may play a physiological role in maintaining bone mass as well as in regulation of hand bone proportions.
Volumetric mass-transfer coefficients (kLa(w), KLa(w), kGa(w), kGa(w)) required for randomly dumped packed tower design were gathered from the literature to generate a working database comprehending 2675 measurements relevant to water and air pollution abatement processes. The cross-examination of two important correlations predicting mass-transfer coefficients was achieved through this database (Onda correlation, 1968; Billet and Schultes correlation, 1993). Some limitations regarding either the level of accuracy or the application range came to light with this investigation. Artificial neural network (ANN) modeling is then proposed allowing all four mass-transfer coefficients predictions. A single ANN correlation was built to predict the dimensionless gas (or liquid) film Sherwood number (ShL/G) as a function of six dimensionless groups, namely, the liquid Reynolds (ReL), Froude (FrL), Eotvös (EoL) numbers, the gas (or liquid) Schmidt number (ScL/G), the Lockhart-Martinelli parameter (chi), and a bed-characterizing number (K). Using the ANN correlation and the two-film theory, a reconciliation procedure was further implemented resulting in better predictions of the gas (or liquid) overall volumetric mass-transfer coefficients. The resulting correlation yielded an absolute average relative error of 22.1% and a standard deviation of 21.1% based on whole database while the ANN predictions remain in accordance with the physical evidence reported in the literature.
BACKGROUND: Latinas (Latino women) are at higher risk than non-Latina white women of cardiovascular disease and stroke, primarily because of higher rates of obesity and type-2 diabetes mellitus. Increases in physical activity help control these cardiovascular risk factors, but a higher percentage of Latinas than white women are inactive. The study goals were to identify personal, social environmental, and physical environmental correlates of physical activity of urban-dwelling, Midwestern Latinas and to obtain their recommendations for increasing exercise in their communities. METHODS: A face-to-face interview (Women and Physical Activity Survey) that covered personal, social environmental, and physical environmental correlates of physical activity was performed with 300 volunteer Latinas (242 in Spanish, 58 in English), aged 20 to 50 years, living in Chicago. Physical activity was measured with questions on lifestyle and planned leisure activity (exercise) from the Behavioral Risk Factor Surveillance System survey. RESULTS: The sample consisted of urban-dwelling Latinas who were primarily from Mexico and who spoke predominantly Spanish. The breakdown was as follows: 36% met current recommendations for moderate or vigorous physical activity, 52.3% were insufficiently active, and 11.7% were inactive. Physical activity was higher among younger women, married women, and women with the following characteristics: had some confidence about becoming more active, saw people exercising in the neighborhood, attended religious services, or lived in areas with heavy traffic. CONCLUSIONS: Interventions need to focus on encouraging Latinas, especially those who are older, to reach the level of physical activity recommended to benefit health. The church may be a suitable community setting for initiating programs that provide women with the knowledge, skills, and motivation to become more active so that they can bring back to the larger Latina community.
BACKGROUND: Bone mineral density (BMD), bone mineral content (BMC), and bone size have been widely studied individually as important risk factors for osteoporotic fracture, but little is known about the correlation and the degree of sharing genetic and environmental factors between the pairs of the three phenotypes. AIM: The study investigated genetic correlation (rhoG), environmental correlation (rhoE) and phenotypic correlation (rhoP) between BMD, BMC and bone size. SUBJECTS AND METHODS: Bivariate variance decomposition analyses were performed in 904 subjects from 287 Chinese nuclear families. RESULTS: Significant rhoE, rhoG and rhoP were detected between BMD, BMC and bone size, except for rhoE between BMD and bone size at the hip (rhoE = 0.121, p = 0.361). Common shared genetic factors explained 86.1% and 60% of BMD and BMC genetic variations at the spine and hip, respectively. However, the genetic and environmental correlations between BMD and bone size were limited. rhoE and rhoG at the spine were 0.392 and 0.381, and at the hip were 0.121 and -0.205, respectively. Only 14.5% and 4.2% of variations between BMD and bone size at the spine and hip may be due to the shared genetic factors. CONCLUSION: The obtained results suggested that bone size may be used as another surrogate phenotype independently of BMD for eventual elucidation of the pathogenesis of osteoporosis because of the limited correlations between BMD and bone size.
With the increasing use of survival models in animal breeding to address the genetic aspects of mainly longevity of livestock but also disease traits, the need for methods to infer genetic correlations and to do multivariate evaluations of survival traits and other types of traits has become increasingly important. In this study we derived and implemented a bivariate quantitative genetic model for a linear Gaussian and a survival trait that are genetically and environmentally correlated. For the survival trait, we considered the Weibull log-normal animal frailty model. A Bayesian approach using Gibbs sampling was adopted. Model parameters were inferred from their marginal posterior distributions. The required fully conditional posterior distributions were derived and issues on implementation are discussed. The two Weibull baseline parameters were updated jointly using a Metropolis-Hasting step. The remaining model parameters with non-normalized fully conditional distributions were updated univariately using adaptive rejection sampling. Simulation results showed that the estimated marginal posterior distributions covered well and placed high density to the true parameter values used in the simulation of data. In conclusion, the proposed method allows inferring additive genetic and environmental correlations, and doing multivariate genetic evaluation of a linear Gaussian trait and a survival trait.
The integration of women into non-traditional military occupations raises questions concerning the impact of such jobs on women's reproductive health. This study examines the extent to which US Navy women in their reproductive years report exposures to potential occupational and environmental hazards, and the degree to which such exposures are associated with self-reported adverse live-birth outcomes. Data from a survey of pregnant Navy women provided both maternal and paternal exposure information on more than 1000 active-duty women. Self-reported exposures to heavy metals, pesticides, petroleum products, and other chemicals were associated with adverse live-birth outcomes at the bivariate level. Only a father's exposure to pesticides at work predicted an adverse live-birth outcome (preterm delivery) in multivariate models. Maternal occupational exposures may exert their influence through maternal health and/or pregnancy complications and may act as mediators of health-reproductive outcome relationships.
Phylogenetic analysis of 16S ribosomal DNA (rDNA) clones obtained by PCR from uncultured bacteria inhabiting a wide range of environments has increased our knowledge of bacterial diversity. One possible problem in the assessment of bacterial diversity based on sequence information is that PCR is exquisitely sensitive to contaminating 16S rDNA. This raises the possibility that some putative environmental rRNA sequences in fact correspond to contaminant sequences. To document potential contaminants, we cloned and sequenced PCR-amplified 16S rDNA fragments obtained at low levels in the absence of added template DNA. 16S rDNA sequences closely related to the genera Duganella (formerly Zoogloea), Acinetobacter, Stenotrophomonas, Escherichia, Leptothrix, and Herbaspirillum were identified in contaminant libraries and in clone libraries from diverse, generally low-biomass habitats. The rRNA sequences detected possibly are common contaminants in reagents used to prepare genomic DNA. Consequently, their detection in processed environmental samples may not reflect environmentally relevant organisms.
Seventeen bulls were used for a 12-month survey of semen quality and for the estimation of plasma progesterone and testosterone and semen testosterone concentrations. Sperm output showed two minima, in mid-winter and late summer, and the percentage of abnormal sperm was highest and their ability to survive freezing was lowest at the summer minimum. Plasma progesterone concentration was negatively correlated with the total ejaculate content of testosterone, and positively with the local average maximum daily temperature. Temperature showed a quadratic relationship with the percentage of abnormal sperm ejaculated one month later, with the minimum percentage occurring at 14.5 degrees C. Temperature also showed a quadratic relationship with the numbers of sperm in semen ejaculated two months later, with the maximum number occurring at 17 degrees C. These relationships may reflect the impaired or enhanced survival of the temperature sensitive meiotic prophase and alterations in the output of testosterone and progesterone by the testis.
OBJECTIVES: Previous research among American Indians of the strong heart family study (SHFS) has demonstrated significant heritabilities for CVD risk factors and implicated diabetes as an important predictor of several of the phenotypes. Moreover, we recently demonstrated that genetic effects on CVD risk factors differed in diabetic and nondiabetic individuals. In this paper, we investigated whether a significant genetic influence on diabetes status could be identified, and whether there is evidence for joint action of genes on diabetes status and related CVD risk factors. METHODS AND RESULTS: Approximately 950 men and women, age 18 or older, in 32 extended families, were examined between 1997 and 1999. We estimated the effects of genes and environmental covariates on diabetes status using a threshold model and a maximum likelihood variance component approach. Diabetes status exhibited a residual heritability of 22% (h2=0.22). We also estimated the genetic and environmental correlations between diabetes susceptibility and eight risk factors for CVD. All eight CVD risk factors displayed significant genetic correlations with diabetes status (BMI (rhoG=0.55), fibrinogen (rhoG=0.40), HDL-C (rhoG=-0.37), ln triglycerides (rhoG=0.65), FAT (rhoG=0.38 ), PAI-1 (rhoG=0.67), SBP (rhoG=0.57), and WHR (rhoG=0.58)). Three of eight traits (HDL-C (rhoE=-0.32), ln triglycerides (rhoE=0.33), and fibrinogen (rhoE=0.20)) displayed significant environmental correlations with diabetes status. CONCLUSIONS: These findings suggest that in the context of a high prevalence of diabetes, still unidentified diabetes genes may play an important role in influencing variation in CVD risk factors.
Quantitative ultrasound (QUS) measurements of bone have been reported to predict osteoporotic fracture risk in postmenopausal women and older men. Although many studies have examined the heritability of bone mineral density (BMD), few studies have estimated the heritability of calcaneal QUS phenotypes. In the present study, we examined the genetic regulation of calcaneal QUS parameters in individuals from nuclear and extended families. The study population includes 260 men and 295 women aged 18-91 years (mean+/-SD: 46+/-16 years) who belong to 111 pedigrees in the Fels Longitudinal Study. Three measures of calcaneal structure were collected from both the right and left heel using the Sahara bone sonometer. These measures included broadband ultrasound attenuation (BUA), speed of sound (SOS), and the quantitative ultrasound index (QUI). We used a variance components based maximum likelihood method to estimate the heritability of QUS parameters while simultaneously adjusting for covariate effects. Additionally, we used bivariate extensions of these methods to calculate additive genetic and random environmental correlations among QUS measures. All phenotypes demonstrated statistically significant heritabilities (P<0.0000001). Heritabilities in the right heel (h2+/-SE) were h2=0.59+/-0.10 for BUA, h2=0.73+/-0.09 for SOS, and h2=0.72+/-0.09 for QUI. Similarly, heritabilities for the left heel were h2=0.52+/-0.10, h2=0.75+/-0.10, and h2=0.70+/0.10, respectively. There was evidence for significant genetic and environmental correlations among these six QUS measures. Combinations of QUS measures in the right and left heel demonstrated genetic correlations of 0.94-0.99 and all were significantly different from one indicating at least a partially unique genetic architecture for each of these measures. This study demonstrates that QUS measures of the calcaneus among healthy men and women are heritable, and there are large shared additive genetic effects among all of the traits examined.
Ozone (O(3)), the major oxidant component in photochemical smog, mostly derives from photolysis of nitrogen dioxide. O(3) may have biologic effects directly and/or via free radicals reacting with other primary pollutants and has been reported to influence daily mortality and to increase lung cancer risk. Although DNA damage may be caused by ozone itself, only other photochemical reaction products (as oxidised polycyclic aromatic hydrocarbons) may form bulky DNA adducts, a reliable biomarker of genotoxic damage and cancer risk, showing a seasonal trend. In a large series consisting of 320 residents in the metropolitan area of Florence, Italy, enrolled in a prospective study for the period 1993-1998 (206 randomly sampled volunteers, 114 traffic-exposed workers), we investigated the correlation between individual levels of DNA bulky adducts and a cumulative O(3) exposure score. The average O(3) concentrations were calculated for different time windows (0-5 to 0-90 days) prior to blood drawing for each participant, based on daily measurements provided by the local monitoring system. Significant correlations between DNA adduct levels and O3 cumulative exposure scores in the last 2-8 weeks before enrollment emerged in never smokers. Correlations were highest in the subgroup of never smokers residing in the urban area and not occupationally exposed to vehicle traffic pollution, with peak values for average concentrations 4-6 weeks before enrollment (r = 0.34). Our current findings indicate that DNA adduct formation may be modulated by individual characteristics and by the cumulative exposure to environmental levels of ozone in the last 4-6 weeks, possibly through ozone-associated reactive pollutants.
The study of the joint segregation of multiple sclerosis and HLA, using affected sib pairs as well as whole pedigrees, shows that these two traits are not independently transmitted. The hypothesis of a single susceptibility locus inside HLA region could explain all the observed data, only if a high gene frequency, a very low penetrance, and some environmental correlation between relatives are assumed. Linkage analysis performed on the basis of this hypothesis for 58 multiple sclerosis families concludes to a strict linkage. We obtained a maximum score of 3.11 at theta = 0.00 for a dominant gene of frequency 0.18 and penetrance of 0.02. This result contrasts with the large recombination fraction obtained by other authors and the discrepancy is explained by the very low gene frequency used in their analysis. Some environmental correlation, in addition to the genetic determinant in HLA region, may explain the overall familial aggregation, but an alternative is the existence of additional genetic determinants.
Studies to evaluate the effects of environmental tobacco smoke (ETS, passive smoking) often use nonsmoking wives with smoking discordant husbands. To see whether there were differences in exposures and behavior patterns among never-smoked wives with never-smoked vs ever-smoked husbands, the life-history profiles of 136 ever-married women with mean age of 59 were analyzed on 97 quantifiable variables. Overall, the results demonstrated that wives with never-smoked husbands had 'healthier' lifestyles than wives with smoking husbands. The former were better off in terms of socio-economic status, more conscientious housewives, ate better diets, and had better indices of family cohesiveness. They also fared better in variables that reflected health status with lower frequencies of the following: miscarriages/abortions, inhaling through the mouth, chronic cough, and chest X-rays. The differences were usually largest when comparing wives of never-smoked vs heavily smoking (greater than 20 cigarettes/day) husbands. The results indicate some correlates of passive smoking that can act as important confounders when evaluating health risks among families with smoking husbands.
Seasonal changes of several serotonin-related measures in plasma and whole blood of healthy individuals were determined every 4 weeks. Plasma serotonin (5-HT) shows very marked changes throughout the year, with maximum values during the summer and lowest values in the fall, whereas its metabolite 5-hydroxyindoleacetic acid (5-HIAA) follows a somewhat contrary pattern. The sum of 5-HT plus 5-HIAA in plasma thus does not change significantly during the year and follows the evolution of total plasma tryptophan (TP). The difference of 5-HIAA minus 5-HT in plasma, which is indicative of the efficacy of degradative processes of 5-HT in the periphery, is strongly dependent on the season and suggests a higher degradation of 5-HT during fall-winter. Unlike plasma TP and whole blood 5-HT, significant correlations among plasma 5-HT, 5-HIAA, and the ambient temperature were found. The possible significance and relationship of these findings to the seasonality of major depression is discussed.