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J W MacCluer

Publications and source records attributed to J W MacCluer.

At least 73 records · Page 4Linked to original sources

Genetic analysis of apolipoprotein A-I in two dietary environments.

Although of great clinical and biological importance, the role of genotype-diet interaction in lipoprotein metabolism and atherosclerosis is still poorly understood. We analyzed serum apolipoprotein A-I (apo A-I) concentrations of approximately 600 pedigreed baboons that were fed two dietary regimens: (1) a basal diet and (2) an atherogenic (high-cholesterol, saturated-fat) diet. Complex segregation analysis was performed separately for apo A-I concentrations in each dietary environment. A major locus model with a recessive allele for high levels of apo A-I and a polygenic component best fit the family data for both diets. Using bivariate segregation analysis, we showed that the major genes detected in the univariate analyses represent two distinct loci that act additively to determine apo A-I concentrations. These two loci accounted for approximately 40% of the total phenotypic variance in apo A-I levels in each dietary environment and were also responsible for 33% of the variation in apo A-I response to the atherogenic diet. Both major loci were influenced by genotype-diet interaction in which the two-locus genotypes exhibited heterogeneous responses to the atherogenic diet. Most genotypes responded to the atherogenic diet with an increase in apo A-I, but two genotypes showed a decrease that can be traced to the effect of one of the major loci. The presence of two major loci and genotype-diet interaction may be responsible for the equivocal results obtained in human pedigree studies of apo A-I.

Animals↗

Segregation analysis of quantitative traits in nuclear families: comparison of three program packages.

Segregation analysis frequently is used to test for the presence of major gene effects and to estimate the various genetic and environmental components contributing to diseases. Recent advances in both theoretical models and computational algorithms have provided a number of new programs for performing segregation analyses. We compared two newer programs: REGC (part of the package "SAGE") and FISHER/MENDEL with an older established program (PAP) to determine relative accuracy in recovering parameter values and asymptotic standard errors, ability to discriminate between alternative transmission models, and execution speeds. Each program was applied to a set of computer simulations of a quantitative trait generated under a variety of genetic models. The results of these comparisons indicated that all the programs provided very similar parameter estimates, but that they differed in their abilities to identify the correct mode of transmission. In our simulations, PAP more often led to the selection of the correct transmission model, whereas REGC frequently indicated the presence of a major gene in simulations of purely polygenic transmission. Relative speeds for the programs differed, and their rank ordering varied with the complexity of the model being fitted. Although REGC was the fastest program for fitting a major gene or mixed model, it was by far the slowest program for estimating parameters in a sporadic or polygenic model.

Computer Simulation↗

Standardbred stallion gene transmission for twelve protein systems: evidence for selection in trotters.

The transmission ratios of alleles at 12 protein marker loci were computed individually for American Standardbred stallions in a genealogy of 5392 phenotyped horses. Over all loci there was significant gene transmission distortion for trotting stallions (p = 0.0019) but not for pacing stallions (p = 0.99). The transmission distortion was due to sire-specific effects (p = 0.0024) and not to increased transmission of one or the other allele of a given heterozygous genotype (p = 0.21). Individual-specific, non-random transmission of homologous chromosomes may provide a mechanism for selection to operate without requiring differential fitness for specific alleles or genotypes in the population as a whole.

Animals↗

ELA and fertility in American Standardbred horses.

We have analysed the effects of ELA alleles and sire-dam ELA incompatibility on two measures of fertility, gestation length and foaling rate, in American Standardbred horses. Using multivariate statistical methods, we corrected for the effects of confounding factors such as dam and sire age, parity, inbreeding, and sire-dam kinship. These analyses revealed substantial differences between Standardbred trotters and pacers in the effects of several confounding factors. There appear to be no ELA effects on gestation length in either trotters or pacers. However our results suggest that there may be ELA effects on foaling rate associated with specific dam alleles, with sire-dam incompatibility, and possibly with specific sire alleles, and that these effects differ between trotters and pacers.

Age Factors↗

Pedigree analysis of HDL cholesterol concentration in baboons on two diets.

Using complex segregation analysis, we examined the effects of genetic factors and diet on serum concentrations of high-density-lipoprotein cholesterol (HDL-C) in baboons. In analyses of 710 baboons in 23 sire families, we found evidence for a major gene as well as a polygenic contribution to HDL-C concentration in baboons fed a basal (chow) diet and also in the same animals after challenge with a high-cholesterol, saturated-fat diet. There was evidence for a polygenic contribution to the change in HDL-C concentration in response to the dietary challenge, but there was no evidence for a major gene effect.

Animals↗

Empirical power of three preliminary methods for ordering loci.

We empirically estimated the power of three methods for ordering loci within a known linkage group. Estimates of pairwise recombination fractions and correlation coefficients were obtained from data on 50 replicates of 50 and 100 pedigrees by using a likelihood method (LIPED; Ott 1974) and the sib-pair test. Locus order then was determined using seriation, multidimensional scaling, and the product of recombination frequencies. Overall, the multidimensional scaling method was less powerful than either seriation or the product of recombination frequencies. The latter two methods were approximately equally powerful. As expected, the power of the sib-pair test was less than half that of the likelihood method.

Chromosome Mapping↗

Detecting genetic effects on lipoprotein phenotypes in baboons: a review of methods and preliminary findings.

Statistical methods for detecting the contribution of major genes to quantitative phenotypes have been widely applied in human family studies. Some of these methods are reviewed, and their application to analysis of an animal model for a human disease is described. Analysis of lipoprotein concentrations in pedigreed baboons provides evidence for genetic effects on specific lipoprotein components that have been associated with reduced susceptibility to atherosclerosis in humans.

Animals↗

Genetic differentiation associated with gait within American standardbred horses.

American Standardbred horses are divided into two groups based upon gait: the trot and the pace. The tendency to trot (diagonally opposite legs moving forward together) or pace (the two legs on the same side of the body moving forward together) appears to be genetically determined, although no formal genetic analysis has been undertaken. There is nearly complete assortative mating for gait; however, about 20% of the offspring sired by trotters are registered as pacers, while fewer than 1% of those sired by pacers are registered as trotters. Electrophoretically detectable genic variation at 13 protein loci has been analysed for 371 trotters and 856 pacers, and 10 blood group loci have been examined for 600 trotters and 1227 pacers. Trotters and pacers shared common alleles at 20 of the 23 loci; however, there were significant differences in allele frequencies at 21 of the 23 loci. Highly significant fixation indices (FSTS) were observed for 17 of the loci. The extent of genetic difference between Standardbred trotters and pacers was as great as or greater than that seen between some distinct horse breeds.

Alleles↗

Comparison of two preliminary methods of quantitative linkage analysis.

Two methods of quantitative linkage analysis were evaluated as screening tests for the presence of major genes that influence the expression of a quantitative trait. Our analyses of computer-simulated pedigree data indicate that both methods can be very informative in providing evidence for major genes.

Computers↗

Genetic Analysis Workshop II: summary.

The second Genetic Analysis Workshop was held October 30, 1983, at the American society of Human Genetics meetings in Norfolk, Virginia. Ten groups of investigators analyzed three sets of pedigrees generated by computer simulation. A summary of the workshop is presented. In this overall description by the workshop organizers, the rationale for the choice of problems and the characteristics of the three data sets are discussed, and the ten analyses are briefly summarized and compared. Following this general summary are brief descriptions of the analyses of each group of workshop participants, in alphabetical order by senior author.

Adult↗

An evaluation of three statistics of structured exploratory data analysis.

The power of structured exploratory data analysis (SEDA) to discriminate among major genic, polygenic, and nongenetic determination of phenotypes was investigated using computer simulation. Three classes of SEDA indices (the major gene index, the offspring between parents function, and the midparent-child correlation coefficient) were evaluated. These three statistics, in combination, were reasonably sensitive in detecting the presence of a major locus and in discriminating between phenotypes with genetic effects and those with no genetic component. However, they were unable to discriminate between major genic and polygenically determined phenotypic models.

Chromosome Mapping↗

Structured exploratory data analysis: an evaluation of the use of three SEDA statistics in assessing mode of inheritance.

Several SEDA statistics are described and three of them (the Midparent-Child Correlation Coefficient, the Major Gene Index, and the Offspring Between Parents Function) are evaluated with respect to their ability to distinguish monogenic, polygenic and sporadic effects on quantitative traits. The MPCC, MGI, and OBP, used in combination, are sensitive but not specific in identifying monogenic inheritance. In our tests, traits determined by a simple type of polygenic inheritance were almost invariably classified as monogenic. Sporadic traits, on the other hand, were correctly identified in 84 percent of cases. The concurrent use of these SEDA statistics and two sibship variance tests yielded some improvement whenever the two procedures agreed (which happened about 50 percent of the time). These results suggest that under some circumstances, SEDA can be a valuable adjunct to other methods of genetic analysis. SEDA methodology also appears promising as an aid in understanding the contribution of various nongenetic factors to quantitative traits.

Female↗

Genetics of Standardbred stallion reproductive performance.

Reproductive performance of 10 Standardbred stallions was related to the probability that the embryo resulting from a given mating would be heterozygous for transferrin or plasma esterase. Fertility, measured by foaling rate per insemination or by foaling rate per year, showed a highly significant regression on the probability of offspring heterozygosity for transferrin and, to lesser extent, for esterase. Substantial differences between stallions in the slope of the regression line and no deficiency of foals homozygous for either protein suggests that the relationship to fertility is indirect, probably a reflection of the amount of outcrossing between lines within the breed. An example of the potential impact of maximizing the probability of foal transferrin heterozygosity on the productivity of an actual farm is presented.

Animals↗

On the probability of demonstrating differential fertility in genetic studies.

Computer simulation has been used to investigate the probability of detecting genetic differences in fertility in small cohorts. It was found that in cohorts of size 200 which have the demographic characteristics of females born in the United States in 1921--5, the probability is approximately 0.50 of detecting, by analysis of variance, either a 20% reduction in the monthly probability of conception or a 15--20% increase in the rate of foetal loss in the first month after conception. Consideration is given to the relative sensitivities of various observable measures of fertility to variation in underlying fertility components.

Abortion, Spontaneous↗