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B B Nemesure

Publications and source records attributed to B B Nemesure.

4 recordsLinked to original sources

The power of iterated generalized least squares (GLS) method to detect direct relationships in the analysis of correlated quantitative traits.

We examined the power of the stepwise iterated generalized least squares (GLS) method by modeling the relationship between quantitative traits and other variables using the simulated data for Problem 2A. The comparison between the generating model provided by the workshop and the results of the stepwise iterated GLS model showed that this method could be used as a first step in identifying the underlying model for genetic data. The estimated covariance matrices also provide useful information about the genetic properties of the traits.

Computer Simulation

Open-angle glaucoma and blood groups. The Barbados Eye Study.

OBJECTIVE: To evaluate the association of open-angle glaucoma (OAG) with ABO, Rh and Duffy blood groups in the population-based Barbados Eye Study. DESIGN: Case-control study. SETTING AND PARTICIPANTS: A subset of black Barbados Eye Study participants, which included 199 OAG cases and 1063 controls. DATA COLLECTION: ABO, Rh and Duffy blood groups were determined as part of a comprehensive study visit, which included assessment for OAG through perimetry, fundus photography, and ophthalmologic examination. OUTCOME MEASURES: Comparison of blood groups between OAG cases and nonOAG controls, expressed as odds ratio and 95% confidence intervals. RESULTS: Associations were found with the Duffy Fya+ group, which is more frequent in white than black populations. In Mantel-Haenszel analyses, OAG was positively associated with Duffy Fya+ in men (odds ratio, 2.67; confidence interval, 1.52 to 4.69) and in persons with intraocular pressure more than 21 mm Hg (odds ratio, 3.32; confidence interval, 1.49 to 7.38). Logistic regression analyses confirmed these findings (interaction of Duffy Fya+ and male gender, P = .01; interaction of Duffy Fya+ and intraocular pressure, P = .04). No associations between OAG and the ABO or Rh blood groups were seen. CONCLUSIONS: The associations with Duffy Fya+, which had not been reported previously in a black population, support the involvement of genetic factors in OAG. However, the lack of association between OAG and blood group markers of African ancestry is inconsistent with a genetic explanation for the differences in OAG prevalence between blacks and whites. Our findings suggest gene-environment interactions in OAG, to be explored by further studies of OAG and Fy markers by racial group and gender.

ABO Blood-Group System

Simulation study comparing interval estimates for the recombination fraction.

Three interval estimation procedures were evaluated to determine the method which provides the most accurate estimates for the recombination fraction, 0. The lod-0.83 support interval, the jackknife confidence interval, and the confidence interval based on estimated asymptotic standard error were compared by calculating the coverage probabilities of each. Family data that were simulated under the model of a single fully penetrant, dominant disease locus at some distance, 0, from fully informative matings were used. Comparisons were based on 1,000 random samples of size 20,60, and 100 families. In addition, a methodology for obtaining prediction intervals for 0 was developed. This procedure is of practical use and does not require asymptotic assumptions based on large sample theory. The results provide an a priori idea about precision of the estimates, as well as empirical interval estimates of 0. Graphs of the authors' Monte Carlo intervals are presented for these simulations. Investigators studying different traits, however, could condition specifically on the family structure and distribution of the disease they are investigating and obtain similar graphs.

Chi-Square Distribution

Integration of linkage analyses and disease association studies.

The REGD procedure of the S.A.G.E. [1994] system was used to determine the mode of inheritance of the rare disease given in Problem 1. The likelihood ratio test statistic indicated that we should reject the hypotheses of dominant and recessive inheritance at the 0.01 level, so codominant inheritance was assumed. The estimated penetrance values computed from the beta estimates given by the S.A.G.E. output were 1.0, 0.7, and 0.0 for the AA, AB, and BB genotypes respectively. A sample of three markers from each chromosome was used to determine which chromosome(s) gave evidence of having loci linked to the disease locus. The lod minus 0.83 support interval, which has been shown to provide the best approximation to 95% coverage among interval estimates [Nemesure et al., in press], was obtained for each of these markers. The criterion for rejecting the hypothesis of close linkage using the support interval methodology required that the left side of the lod minus 0.83 support interval about the maximum likelihood estimate, theta, includes only values greater than theta = 0.10. This criterion suggested that chromosomes 2, 3, and 6 did not contain the disease genes. Classical lod-score linkage analysis using the usual criteria of 3.0 for linkage and -2.0 for exclusion did not result in any regions being identified. On dropping the required lod score to 1.0, chromosomes 1, 3, and 6 gave results in favor of linkage with lod scores of 1.94 (theta = 0.19), 1.20 (theta = 0.24), and 1.30 (theta = 0.23), respectively. Association studies comparing unrelated cases to unrelated controls were done for all markers on all chromosomes. Two associations were observed which were significant at the 0.05 level after adjusting for the large number of multiple comparisons being made. The strongest association observed was between allele 7 of marker 23 on chromosome 5 and the disease (chi 2(1) = 52.20, OR = 4.7) and the second strongest was between allele 8 of marker 31 on chromosome 1 (chi 2(1) = 20.10, OR = 3.4).

Chi-Square Distribution