Showing papers by "Chris Haley published in 2001"

A simple and rapid method for calculating identity-by-descent matrices using multiple markers

Abstract: A fast, partly recursive deterministic method for calculating Identity-by-Descent (IBD) probabilities was developed with the objective of using IBD in Quantitative Trait Locus (QTL) mapping. The method combined a recursive method for a single marker locus with a method to estimate IBD between sibs using multiple markers. Simulated data was used to compare the deterministic method developed in the present paper with a stochastic method (LOKI) for precision in estimating IBD probabilities and performance in the task of QTL detection with the variance component approach. This comparison was made in a variety of situations by varying family size and degree of polymorphism among marker loci. The following were observed for the deterministic method relative to MCMC: (i) it was an order of magnitude faster; (ii) its estimates of IBD probabilities were found to agree closely, even though it does not extract information when haplotypes are not known with certainty; (iii) the shape of the profile for the QTL test statistic as a function of location was similar, although the magnitude of the test statistic was slightly smaller; and (iv) the estimates of QTL variance was similar. It was concluded that the method proposed provided a rapid means of calculating the IBD matrix with only a small loss in precision, making it an attractive alternative to the use of stochastic MCMC methods. Furthermore, developments in marker technology providing denser maps would enhance the relative advantage of this method.

The porcine gonadotropin-releasing hormone receptor gene (GNRHR): genomic organization, polymorphisms, and association with the number of corpora lutea

Abstract: The interaction of gonadotropin-releasing hormone (GNRH) and its receptor (GNRHR) is critical in the endocrine regulation of reproduction. The gene (GNRHR) encoding the receptor has been mapped to porcine chromosome 8. There is evidence for three quantitative trait loci (QTL) influencing ovulation rate on this chromosome. We obtained an almost complete sequence (3993 bp, excluding intron 1) of the porcine GNRHR gene using PCR-based comparative genomic walking and inverse genomic walking approaches. Twelve polymorphisms were detected by sequencing of pooled DNA of Chinese Taihu and European Large White pigs, including 7 base substitutions and 5 insertions-deletions (indels). A F2 population of Meishan x European Large White pigs was genotyped for a TG indel in the promoter region, and a C/G substitution in the 3' UTR (untranslated region). A significant association of the C/G substitution with number of corpora lutea at first parity was observed.

The porcine gonadotropin-releasing hormone receptor gene (GNRHR): genomic organization, polymorphisms, and association with the number of corpora lutea.

Abstract: The interaction of gonadotropin-releasing hormone (GNRH) and its receptor (GNRHR) is critical in the endocrine regulation of reproduction. The gene (GNRHR) encoding the receptor has been mapped to porcine chromosome 8. There is evidence for three quantitative trait loci (QTL) influencing ovulation rate on this chromosome. We obtained an almost complete sequence (3993 bp, excluding intron 1) of the porcine GNRHR gene using PCR-based comparative genomic walking and inverse genomic walking approaches. Twelve polymorphisms were detected by sequencing of pooled DNA of Chinese Taihu and European Large White pigs, including 7 base substitutions and 5 insertions-deletions (indels). A F2 population of Meishan x European Large White pigs was genotyped for a TG indel in the promoter region, and a C/G substitution in the 3' UTR (untranslated region). A significant association of the C/G substitution with number of corpora lutea at first parity was observed.

Right Ventricular Hypertrophy Secondary to Pulmonary Hypertension Is Linked to Rat Chromosome 17 Evaluation of Cardiac Ryanodine Ryr2 Receptor as a Candidate

Abstract: Background—Fischer 344 (F344) rats are relatively resistant to hypoxia-induced right ventricular (RV) hypertrophy compared with the Wistar-Kyoto (WKY) strain. These 2 strains were used to examine the genetic basis for the differential response. Methods and Results—Male F2 offspring from an F344×WKY intercross were exposed to hypoxia (10% O2) for 3 weeks, and pulmonary artery pressure and cardiac chamber weights were measured. Genomic DNA was screened by use of polymorphic microsatellite markers across the whole genome (excluding the sex chromosomes). A quantitative trait locus (QTL) for RV weight was identified on rat chromosome 17 (lod score 6.5) that accounted for 22% of the total variance of RV weight in the F2 population and was independent of pulmonary artery pressure. The peak was centered over marker D17Rat41, close to Chrm3, with a 1-lod support interval of 5 cM. Comparison of homologous regions in mice and humans suggested that Ryr2, the cardiac isoform of the ryanodine receptor, colocalizes with...

Genome-wide search for loci controlling serum IGF binding protein levels of mice

Abstract: A segregating F2 pedigree based on two mouse lines (DU6i and DBA/2) with extremely different growth characteristics was generated to search for loci affecting serum levels of insulin-like growth factor (IGF) binding proteins (IGFBPs) and to estimate their effects on growth and body composition. DU6i is characterized by high body mass and obesity associated with hyperinsulinemia, hyperleptinemia, and elevated serum IGF-I concentrations. Furthermore, significantly elevated serum levels of IGFBP-2, IGFBP-3, and IGFBP-4 were found in DU6i vs. DBA/2 mice. Linkage analysis identified loci with major effects on the serum level of IGFBP-3 on Chromosome 5 at 58 cM (Igfbp3q1; F = 9.9) and on Chromosome 10 at 46 cM (Igfbp3q2; F = 33.8). A locus significantly influencing serum IGFBP-2 levels in males was found on Chromosome 7. Additional linkage was detected in males and females for IGFBP-2 on Chromosomes 8, 11, 14, 17, and X, and for IGFBP-4 on Chromosome 4. Additional loci affecting IGFBPs acted in a sex-specific m...

Using the mixed model for interval mapping of quantitative trait loci in outbred line crosses.

Abstract: Interval mapping by simple regression is a powerful method for the detection of quantitative trait loci (QTLs) in line crosses such as F2 populations. Due to the ease of computation of the regression approach, relatively complex models with multiple fixed effects, interactions between QTLs or between QTLs and fixed effects can easily be accommodated. However, polygenic effects, which are not targeted in QTL analysis, cannot be treated as random effects in a least squares analysis. In a cross between true inbred lines this is of no consequence, as the polygenic effect contributes just to the residual variance. In a cross between outbred lines, however, if a trait has high polygenic heritability, the additive polygenic effect has a large influence on variation in the population. Here we extend the fixed model for the regression interval mapping method to a mixed model using an animal model. This makes it possible to use not only the observations from progeny (e.g. F2), but also those from the parents (F1) to evaluate QTLs and polygenic effects. We show how the animal model using parental observations can be applied to an outbred cross and so increase the power and accuracy of QTL analysis. Three estimation methods, i.e. regression and an animal model either with or without parental observations, are applied to simulated data. The animal model using parental observations is shown to have advantages in estimating QTL position and additive genotypic value, especially when the polygenic heritability is large and the number of progeny per parent is small.

True and false positive peaks in genomewide scans: The long and the short of it.

Abstract: When performing a genome scan in linkage or linkage disequilibrium studies to detect loci underlying complex or quantitative traits, it is important to attempt to distinguish between true and false positives using the appropriate statistical methods. There has been some controversy in the literature regarding the use of the length of a positive peak, i.e., the length of a chromosome region displaying identity-by-descent in linkage studies among affected individuals or the length of a continuous chromosome region for which the test statistic is above a certain threshold. We show in this study, by reasoning and by simulation studies, that conditional on the strength of evidence for a locus affecting a trait of interest, i.e.. conditional on the peak height of a test statistic, there is no information in the length of the peak. Our finding has implications for linkage and association studies.

Method to screen for improved meat characteristics in pigs

Abstract: There is provided an assay to identify pigs having a genetic predisposition to musculature with improved meat quality characteristics. In the assay certain genetic markers which correlate to the meat quality traits of interest are used to determine the allelic variant(s) in the DNA sample under test. Preferred markers are: i) SW413, SW1482, SW439, S0005, SW904 or regions of chromosome 5 spanning therebetween; or ii) SWR68, S0024, SW827, SW727, SW539, or regions of chromosome 9 spanning therebetween; or iii) SW2093, SW2116 or regions of chromosome 9 spanning therebetween. From the genotypic data so generated pigs of the preferred genotype can be selected for slaughter or for use in breeding programs. A kit for conducting the assay is also described.

Selection and subsequent analysis of sib pair data for QTL detection.

Abstract: Haseman and Elston (1972) developed a robust regression method for the detection of linkage between a marker and a quantitative trait locus (QTL) using sib pair data. The principle underlying this method is that the difference in phenotypes between pairs of sibs becomes larger as they share a decreasing number of alleles at a particular QTL identical by descent (IBD) from their parents. In this case, phenotypically very different sibs will also on average share a proportion of alleles IBD at any marker linked to the QTL that is lower than the expected value of 0.5. Thus, the deviation of the proportion of marker alleles IBD from the expected value in pairs of sibs selected to be phenotypically different (i.e. discordant) can provide a test for the presence of a QTL. A simple regression method for QTL detection in sib pairs selected for high phenotypic differences is presented here. The power of the analytical method was found to be greater than the power obtained using the standard analysis when samples of sib pairs with high phenotypic differences were used. However, the use of discordant sib pairs was found to be less powerful for QTL detection than alternative selective genotyping schemes based on the phenotypic values of the sibs except with intense selection, when its advantage was only marginal. The most effective selection scheme overall was the use of sib pairs from entire families selected on the basis of high within-family variance for the trait in question. There is little effect of selection on QTL position estimates, which are in good agreement with the simulated values. However, QTL variance estimates are biased to a greater or lesser degree, depending on the selection method.

Genetic and physical mapping, expression analysis and partial sequence of porcine PER1.

Abstract: The porcine PER1 gene was mapped to chromosome 12q1.4→q1.5 using fluorescence in situ hybridisation. A polymorphic microsatellite marker (S0601) was isolated from a BAC clone shown to contain the PER1