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Linked Markers (linked + marker)
Selected AbstractsProperties of case/pseudocontrol analysis for genetic association studies: Effects of recombination, ascertainment, and multiple affected offspringGENETIC EPIDEMIOLOGY, Issue 3 2004Heather J. Cordell Abstract The case/pseudocontrol approach is a general framework for family-based association analysis, incorporating several previously proposed methods such as the transmission/disequilibrium test and log-linear modelling of parent-of-origin effects. In this report, I examine the properties of methods based on a case/pseudocontrol approach when applied to a linked marker rather than (or in addition to) the true disease locus or loci, and when applied to sibships that have been ascertained on, or that may simply contain, multiple affected sibs. Through simulations and analytical calculations, I show that the expected values of the observed relative risk parameters (estimating quantities such as effects due to a child's own genotype, maternal genotype, and parent-of-origin) depend crucially on the ascertainment scheme used, as well as on whether there is non-negligible recombination between the true disease locus and the locus under study. In the presence of either recombination or ascertainment on multiple affected offspring, methods based on conditioning on parental genotypes are shown to give unbiased genotype relative risk estimates at the true disease locus (or loci) but biased estimates of population genotype relative risks at a linked marker, suggesting that the resulting estimates may be misleading when used to predict the power of future studies. Methods that allow for exchangeability of parental genotypes are shown (in the presence of either recombination or ascertainment on multiple affected offspring) to produce false-positive evidence of maternal genotype effects when there are true parent-of-origin or mother-child interaction effects, even when analyzing the true locus. These results suggest that care should be taken in both the interpretation and application of parameter estimates obtained from family-based genetic association studies. © 2004 Wiley-Liss, Inc. [source] Mapping markers linked to porcine salmonellosis susceptibilityANIMAL GENETICS, Issue 6 2009L. Galina-Pantoja Summary The goal of this study was to identify pig chromosomal regions associated with susceptibility to salmonellosis. Genomic DNA from pig reference populations with differences in susceptibility to Salmonella enterica serovar Choleraesuis as quantified by spleen and liver bacterial colonization at day 7 post-infection (dpi; Van Diemen et al. 2002) was used. These samples belonged to the offspring of a sire thought to be heterozygous for genes involved in susceptibility to salmonellosis. Amplified fragment length polymorphism (AFLP) markers were created and used to determine associations with spleen or bacterial counts at 7 dpi. To position linked markers, two mapping populations, the Roslin and Uppsala PiGMaP pedigrees were used to create an integrated map which included the AFLP markers associated with salmonellosis. Twenty-six AFLP markers located in 14 different chromosomal regions in the porcine genome were found to be significantly associated with susceptibility (Chi-square P < 0.05). More than one linked marker was found on chromosomes 1, 7, 13, 14 and 18. It is likely that these regions contain genes involved in Salmonella susceptibility. Regions on chromosomes 1, 7 and 14 were significantly associated with Salmonella counts in the liver and regions on chromosomes 11, 13 and 18 with counts in spleen. The identification of these chromosomal regions highlights specific areas to search for candidate genes that may be involved in innate or adaptive immunity. Further investigation into these chromosomal regions would be useful to improve our understanding of host responses to infection with this widespread pathogen. [source] The mouse frizzy mutation (fr) maps between D7Csu5 and D7Mit165EXPERIMENTAL DERMATOLOGY, Issue 8 2008Emily L. Paul Abstract:, We have previously shown that the rat fuzzy and Charles River ,hairless' mutations are defects in the same gene on rat Chr 1, and are likely orthologues of the frizzy mutation (fr) on mouse Chr 7. To test the hypothesis that these variants could result from defects in Fgfr2, we crossed fr/fr mice (from the inbred FS/EiJ strain) with mice that carry a recessive lethal mutation in Fgfr2. Mice inheriting both mutations were phenotypically normal, indicating that fr is not an allele of Fgfr2. To genetically map fr, we crossed these hybrid mice, or F1 mice made by crossing FS/EiJ with the wild-type C57BL/6J or BALB/cBy strains, back to the FS/EiJ strain. The resulting 546 backcross progeny were typed for linked markers to position fr centromeric of Fgfr2, between D7Csu5 and D7Mit165; an interval that contains only 2.7 Mb and fewer than 70 genes. Further characterization of regional recombinants for sequence-level polymorphisms should allow sufficient refinement of fr's location to facilitate an eventual molecular assignment for this classical mutation. [source] Estimation of allele frequencies with data on sibshipsGENETIC EPIDEMIOLOGY, Issue 3 2001Karl W. Broman Abstract Allele frequencies are generally estimated with data on a set of unrelated individuals. In genetic studies of late-onset diseases, the founding individuals in pedigrees are often not available, and so one is confronted with the problem of estimating allele frequencies with data on related individuals. We focus on sibpairs and sibships, and compare the efficiency of four methods for estimating allele frequencies in this situation: (1) use the data for one individual from each sibship; (2) use the data for all individuals, ignoring their relationships; (3) use the data for all individuals, taking proper account of their relationships, considering a single marker at a time; and (4) use the data for all individuals, taking proper account of their relationships, considering a set of linked markers simultaneously. We derived the variance of estimator 2, and showed that the estimator is unbiased and provides substantial improvement over method 1. We used computer simulation to study the performance of methods 3 and 4, and showed that method 3 provides some improvement over method 2, while method 4 improves little on method 3. Genet. Epidemiol. 20:307,315, 2001. © 2001 Wiley-Liss, Inc. [source] Mixture model equations for marker-assisted genetic evaluationJOURNAL OF ANIMAL BREEDING AND GENETICS, Issue 4 2005Y. Liu Summary Marker-assisted genetic evaluation needs to infer genotypes at quantitative trait loci (QTL) based on the information of linked markers. As the inference usually provides the probability distribution of QTL genotypes rather than a specific genotype, marker-assisted genetic evaluation is characterized by the mixture model because of the uncertainty of QTL genotypes. It is, therefore, necessary to develop a statistical procedure useful for mixture model analyses. In this study, a set of mixture model equations was derived based on the normal mixture model and the EM algorithm for evaluating linear models with uncertain independent variables. The derived equations can be seen as an extension of Henderson's mixed model equations to mixture models and provide a general framework to deal with the issues of uncertain incidence matrices in linear models. The mixture model equations were applied to marker-assisted genetic evaluation with different parameterizations of QTL effects. A sire-QTL-effect model and a founder-QTL-effect model were used to illustrate the application of the mixture model equations. The potential advantages of the mixture model equations for marker-assisted genetic evaluation were discussed. The mixed-effect mixture model equations are flexible in modelling QTL effects and show desirable properties in estimating QTL effects, compared with Henderson's mixed model equations. [source] Genetic Analysis and Molecular Mapping of a Rolling Leaf Mutation Gene in RiceJOURNAL OF INTEGRATIVE PLANT BIOLOGY, Issue 12 2007Ji-Cai Yi Abstract A rice mutant with rolling leaf, namely ,- rl, was obtained from M2 progenies of a native indica rice stable strain Qinghuazhan (QHZ) from mutagenesis of dry seeds by ,-rays. Genetic analysis using the F2 population from a cross between this mutant and QHZ indicated the mutation was controlled by a single recessive gene. In order to map the locus for this mutation, another F2 population with 601 rolling leaf plants was constructed from a cross between ,- rl and a japonica cultivar 02428. After primary mapping with SSR (simple sequence repeats) markers, the mutated locus was located at the short arm of chromosome 3, flanked by RM6829 and RM3126. A number of SSR, InDel (insertion/deletion) and SNP (single nucleotide polymorphism) markers within this region were further developed for fine mapping. Finally, two markers, SNP121679 and InDel422395, were identified to be flanked to this locus with genetic distances of 0.08 cM and 0.17 cM respectively, and two SNP markers, SNP75346 and SNP110263, were found to be co-segregated with this locus. These results suggested that this locus was distinguished from all loci for the rolling leaf mutation in rice reported so far, and thus renamed rl10(t). By searching the rice genome database with closely linked markers using BLAST programs, an e -physical map covering rl10(t) locus spanning about a 50 kb region was constructed. Expression analysis of the genes predicted in this region showed that a gene encoding putative flavin-containing monooxygenase (FMO) was silenced in ,- rl, thus this is the most likely candidate responsible for the rolling leaf mutation. [source] Identification and Mapping of Two New Genes Conferring Resistance to Powdery Mildew from Aegilops tauschii (Coss.) SchmalJOURNAL OF INTEGRATIVE PLANT BIOLOGY, Issue 10 2006Xiao-Li Sun Abstract Two powdery mildew resistance genes were identified from Aegilops tauschii accessions Y201 and Y212 and mapped using two different F2 populations derived from the crosses between susceptible accession Y2272 and Y201, and susceptible accession Y2263 and Y212. Genetic analysis of resistance to powdery mildew indicated that the resistance of Y201 was controlled by a single dominant gene, whereas the resistance of Y212 was controlled by a single recessive gene. We have temporarily designated these genes as PmY201 and PmY212, respectively. By bulk segregation analysis, six microsatellite markers including Xgwm174, cfd26, cfd57, cfd102, Xgwm583 and Xgwm639 were found to be linked to PmY201 with genetic distances of 5.2, 7.7, 9.6, 12.5, 20.2 and 22.1 cM, respectively. Five SSR markers, including cfd57, Xgwm182, cfd7, cfd102, and cfd12, were found to be linked to PmY212 with distances of 5.6, 7.2, 11.5, 14.7, and 18.5 cM, respectively. According to the locations of the linked markers, the two resistance genes were located in the 5DL region. Based on the chromosomal locations and the resistance patterns of the two genes, we propose that PmY201 and PmY212 are two novel powdery mildew resistance genes, and are suitable for marker-assisted selection. (Managing editor: Ya-Qin Han) [source] Bayesian analyses of admixture in wild and domestic cats (Felis silvestris) using linked microsatellite lociMOLECULAR ECOLOGY, Issue 1 2006R. LECIS Abstract Methods recently developed to infer population structure and admixture mostly use individual genotypes described by unlinked neutral markers. However, Hardy,Weinberg and linkage disequilibria among independent markers decline rapidly with admixture time, and the admixture signals could be lost in a few generations. In this study, we aimed to describe genetic admixture in 182 European wild and domestic cats (Felis silvestris), which hybridize sporadically in Italy and extensively in Hungary. Cats were genotyped at 27 microsatellites, including 21 linked loci mapping on five distinct feline linkage groups. Genotypes were analysed with structure 2.1, a Bayesian procedure designed to model admixture linkage disequilibrium, which promises to assess efficiently older admixture events using tightly linked markers. Results showed that domestic and wild cats sampled in Italy were split into two distinct clusters with average proportions of membership Q > 0.90, congruent with prior morphological identifications. In contrast, free-living cats sampled in Hungary were assigned partly to the domestic and the wild cat clusters, with Q < 0.50. Admixture analyses of individual genotypes identified, respectively, 5/61 (8%), and 16,20/65 (25,31%) hybrids among the Italian wildcats and Hungarian free-living cats. Similar results were obtained in the past using unlinked loci, although the new linked markers identified additional admixed wildcats in Italy. Linkage analyses confirm that hybridization is limited in Italian, but widespread in Hungarian wildcats, a population that is threatened by cross-breeding with free-ranging domestic cats. The total panel of 27 loci performed better than the linked loci alone in the identification of domestic and known hybrid cats, suggesting that a large number of linked plus unlinked markers can improve the results of admixture analyses. Inferred recombination events led to identify the population of origin of chromosomal segments, suggesting that admixture mapping experiments can be designed also in wild populations. [source] Development of 25 gene-associated microsatellite markers of Atlantic cod (Gadus morhua L.)MOLECULAR ECOLOGY RESOURCES, Issue 4 2006JØRGEN STENVIK Abstract Microsatellites were identified by screening 2294 GenBank entries available for Atlantic cod (Gadus morhua L.), mainly representing expressed sequence tags and cDNA sequences. Ninety-two novel microsatellite loci (tetra-, tri- and dinucleotides) were characterized on 96 individuals. This strategy yielded 25 gene-associated polymorphic microsatellite markers (11 tri- and 14 dinucleotides) with two to 20 alleles and an average heterozygosity of 0.48 in the population studied (range 0.02,0.89). One marker exhibited significant homozygote excess, and one of the primer pairs amplified two linked markers. The gene identity was determined at nine of the loci, confirming the associated microsatellites as type I markers. [source] | |||||||||||||