Social rank and sex ratio of captive long-tailed macaque females (Macaca fascicularis)

Variation in birth sex ratios in primates can be accounted for by two hypotheses: the local resource competition hypothesis [Silk: American Naturalist 121:56–66, 1983] and the hypothesis of Trivers & Willard [Science 179:90–92, 1973] concerning the maternal effect on the quality of a male. We examined the effects of female dominance rank on aspects of reproduction in three well-established captive groups of long-tailed macaques (Macaca fascicularis). High-ranking females produced a higher proportion of sons than low-ranking females, and factors other than rank did not have significant effects on birth sex ratios. Interbirth intervals following daughters were longer than those following sons, but they were independent of the mother's rank. The sons of high-ranking mothers had better survival prospects than sons of low-ranking mothers in some of the groups; no such difference was found for daughters. Overall, there was no sex difference in survival up to 5 years of age. These results support the Trivers-Willard hypothesis rather than the local resource competition hypothesis. An analysis of interbirth intervals suggested that the deviation in birth sex ratio is already established at conception.     

Association between the lipoprotein lipase rs1534649 gene polymorphism in intron one with Body Mass Index and High Density Lipoprotein-Cholesterol

Lipoprotein lipase (LPL) is an enzyme involved in lipid metabolism and distribution of fatty acids hence its role in the initiation and development of dyslipidemia and adiposity. Single nucleotide polymorphisms (SNPs) across the LPL gene have been associated with dyslipidemia, however, the association with obesity has been limited towards specific populations. This study examined the association between LPL gene polymorphisms with plasma lipid levels and body mass index (BMI) in the Kuwaiti population. We examined a total of 486 adults (303 and 183 females and males respectively) with plasma lipid levels and BMI. DNA samples were genotyped for two LPL gene polymorphisms (rs1534649 and rs28645722) using TaqMan allelic discrimination. The relationship between the genotypes with both plasma lipid levels and BMI were assessed using linear regression using “SNPassoc” package from R statistical software. Using an additive genetic model, linear regression analysis showed the T-allele of rs1534649 to be associated with increased BMI in a dose-dependent trend β = 2.13 (95% CI 1.33–2.94); p = 1.7 × 10^?7. In addition, a borderline significance was observed between the T-allele and low levels of high density lipoprotein-cholesterol β = ?0.04 (95% CI ?0.08, ?0.006); p = 0.02. There were no associations between rs28645722 and plasma lipid levels (p > 0.05). However, a trend was observed between the A-allele and increased BMI β = 1.75 (95% CI 0.14–3.35); p = 0.03. Our study shows intron one polymorphism rs1534649 to increase the risk of obesity and dyslipidemia. Our findings warrant further investigation of the mechanism of LPL on the development of obesity along with the role of intron one and its impact on LPL gene activity.     

Rectangular tolerance regions and multivariate normal reference regions in laboratory medicine

Reference intervals are widely used in the interpretation of results of biochemical and physiological tests of patients. When there are multiple biochemical analytes measured from each subject, a multivariate reference region is needed. Because of their greater specificity against false positives, such reference regions are more desirable than separate univariate reference intervals that disregard the cross-correlations between variables. Traditionally, under multivariate normality, reference regions have been constructed as ellipsoidal regions. This approach suffers from a major drawback: it cannot detect component-wise extreme observations. In the present work, procedures are developed to construct rectangular reference regions in the multivariate normal setup. The construction is based on the criteria for tolerance intervals. The problems addressed include the computation of a rectangular tolerance region and simultaneous tolerance intervals. Also addressed is the computation of mixed reference intervals that include both two-sided and one-sided limits, simultaneously. A parametric bootstrap approach is used in the computations, and the accuracy of the proposed methodology is assessed using estimated coverage probabilities. The problem of sample size determination is also addressed, and the results are illustrated using examples that call for the computation of reference regions.     

Comparison of SANOVA Procedure of Simultaneous Testing Hypotheses to Others

In this paper a procedure SANOVA of simultaneous testing hypotheses is compared with others used in analysis of variance in a fixed linear model. The geometrical relation between SANOVA and Scheffé's confidence regions is discussed. It is shown that individual confidence intervals from SANOVA procedure are not longer than Scheffe's, Dunnett's and Tukey's ones. The cases, when they are the same are indicated. Theoretical considerations are illustrated by a practical example.     

Temporal-method estimates of Ne from highly polymorphic loci

The temporal method is used widely to estimategenetic effective population size (N _e), a parameter of fundamental interestto studies of evolutionary and conservationbiology. The statistical properties oftemporal-method estimates have not beenexplored for highly polymorphic DNA markersthat often contain many alleles occurring invery low frequencies. We used a Monte Carlosimulation approach to assess accuracy andprecision of the temporal method whenimplemented with haplotypic/allelic data atmitochondrial (mt)DNA and nuclear-encodedmicrosatellite DNA loci. Estimates of N _e were between 2%–106% greater thantheir true values in 48 simulationsparameterized using different demographicscenarios, models of mutation, and samplesizes. Overestimation of N _e resultsfrom a bias in the approximation used by Waples(1989) to derive the relationship between theexpected temporal variance (F) and N _e when allele frequencies are very closeto 0 or 1. Our results show that one commonlyapplied solution to this problem, binning oflow-frequency alleles, results in a trade-offof accuracy and precision in some cases. Weshow that both chi-square and normalapproximations are appropriate for estimating95% confidence intervals of N _e andwe develop a power analysis based on thechi-square distribution to estimate samplesizes and allelic diversity required toevaluate specific hypotheses. For highlypolymorphic loci like mtDNA andmicrosatellites, the increased precisionafforded by the presence of rare allelesoutweighs the upward bias in temporal-methodestimates of N _e.     

Breeding of the cotton-top tamarin Saguinus oedipus oedipus: A comparison with the common marmoset

A colony experienced in the successful breeding of thecommon marmoset acquired 15 cotton-top tamarins for breeding purposes over a period of 2 yrs. Data are presented on the breeding of the cotton-top and compared with the breeding of the common marmoset. The tamarins did not breed as successfully as the common marmosets. There were several reasons for this: Cotton-tops took longer to produce young on initial pairing, had a longer birth interval, and showed a high incidence of suspected infanticide and parental neglect. These factors are thought to be largely responsible for the relatively low reproductive potential of the cotton-top in captivity.     

Permutation‐based inference for the AUC: A unified approach for continuous and discontinuous data

We investigate rank‐based studentized permutation methods for the nonparametric Behrens–Fisher problem, that is, inference methods for the area under the ROC curve. We hereby prove that the studentized permutation distribution of the Brunner‐Munzel rank statistic is asymptotically standard normal, even under the alternative. Thus, incidentally providing the hitherto missing theoretical foundation for the Neubert and Brunner studentized permutation test. In particular, we do not only show its consistency, but also that confidence intervals for the underlying treatment effects can be computed by inverting this permutation test. In addition, we derive permutation‐based range‐preserving confidence intervals. Extensive simulation studies show that the permutation‐based confidence intervals appear to maintain the preassigned coverage probability quite accurately (even for rather small sample sizes). For a convenient application of the proposed methods, a freely available software package for the statistical software R has been developed. A real data example illustrates the application.     

Individual personality-related characteristics of event-related EEG potentials recorded in an experimental situation requiring production of time intervals

Event-related EEG potentials (ERP) were recorded from 75 tested adult men and women; recording was performed from C3 and C4 points. The experimental situation required internal counting of time intervals limited by two pushes of a button. The experimental paradigm provided a substantial level of uncertainty, and a high level of attention needed to be maintained. The tested subjects were not informed by the experimenter about the precise value of the preset time interval; they knew only its limits, 17–23 sec. The subject obtained information about the agreement or disagreement between the produced interval and its value preset by the experimenter by visual feedback signals obtained 2 sec after termination of counting; in the case of agreement the subject had to perform a confirming (third) push of the button. Pushes were preceded by readiness potentials (RP); contingent negative variation (CNV) developed before the feedback signals, and the latter were accompanied by P300 potentials. Significant positive correlations were found between the parameters of RP and P300 in both hemispheres. In general, ERP were characterized by very high interindividual variability, which in a few respects correlated with the personality-related characteristics of tested subjects evaluated by psychological testing with the use of corresponding questionnaires. In particular, under the experimental conditions used, negative correlations were observed between the RP amplitude and psychotism indices, CNV amplitude and emotional stability; CNV amplitude and extroversive features, and P300 amplitude and domination properties of a person. Positive correlations were observed between the CNV amplitude and autia factor (according to Eysenck’s PEN and Cattell’s 16 PF questionnaires). We suppose that correlations between the personal psychical features and ERP parameters are grounded in both inherited constitutional specificities of the nervous system and neurochemical/structural modifications in the brain determined by the acquired vital experience.