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QTL Analysis (qtl + analysis)
Selected AbstractsQTL Analysis of Trabecular Bone in BXD F2 and RI Mice,JOURNAL OF BONE AND MINERAL RESEARCH, Issue 8 2006Abbey L Bower Abstract A sample of 693 mice was used to identify regions of the mouse genome associated with trabecular bone architecture as measured using ,CT. QTLs for bone in the proximal tibial metaphysis were identified on several chromosomes indicating regions containing genes that regulate properties of trabecular bone. Introduction: Age-related osteoporosis is a condition of major concern because of the morbidity and mortality associated with osteoporotic fractures in humans. Osteoporosis is characterized by reduced bone density, strength, and altered trabecular architecture, all of which are quantitative traits resulting from the actions of many genes working in concert with each other and the environment over the lifespan. ,CT gives accurate measures of trabecular bone architecture providing phenotypic data related to bone volume and trabecular morphology. The primary objective of this research was to identify chromosomal regions called quantitative trait loci (QTLs) that contain genes influencing trabecular architecture as measured by ,CT. Materials and Methods: The study used crosses between C57BL/6J (B6) and DBA/2J (D2) as progenitor strains of a second filial (F2) generation (n = 141 males and 148 females) and 23 BXD recombinant inbred (RI) strains (n , 9 of each sex per strain). The proximal tibial metaphyses of the 200-day-old mice were analyzed by ,CT to assess phenotypic traits characterizing trabecular bone, including bone volume fraction, trabecular connectivity, and quantitative measures of trabecular orientation and anisotropy. Heritabilities were calculated and QTLs were identified using composite interval mapping. Results: A number of phenotypes were found to be highly heritable. Heritability values for measured phenotypes using RI strains ranged from 0.15 for degree of anisotropy in females to 0.51 for connectivity density in females and total volume in males. Significant and confirmed QTLs, with LOD scores ,4.3 in the F2 cohort and ,1.5 in the corresponding RI cohort were found on chromosomes 1 (43 cM), 5 (44 cM), 6 (20 cM), and 8 (49 cM). Other QTLs with LOD scores ranging from 2.8 to 6.9 in the F2 analyses were found on chromosomes 1, 5, 6, 8, 9, and 12. QTLs were identified using data sets comprised of both male and female quantitative traits, suggesting similar genetic action in both sexes, whereas others seemed to be associated exclusively with one sex or the other, suggesting the possibility of sex-dependent effects. Conclusions: Identification of the genes underlying these QTLs may lead to improvements in recognizing individuals most at risk for developing osteoporosis and in the design of new therapeutic interventions. [source] Genetic Regulation of Bone Traits Is Influenced by Sex and Reciprocal Cross in F2 Progeny From GK and F344 Rats,,JOURNAL OF BONE AND MINERAL RESEARCH, Issue 6 2009Sofia Lagerholm Abstract A genome-wide linkage analysis to identify quantitative trait loci (QTLs) for bone phenotypes was performed in an F2 intercross of inbred spontaneously type 2 diabetic GK and normoglycemic F344 rats (108 males and 98 females). The aim of the study was to locate genome regions with candidate genes affecting trabecular and cortical bone and to investigate the effects of sex and reciprocal cross. pQCT was used to determine tibial bone phenotypes in the F2 rats, comprising reciprocal crosses with divergent mitochondrial (mt) DNA. Sex and reciprocal cross-separated QTL analyses were performed followed by assessment of specific interactions. Four genome-wide significant QTLs linked to either cortical vBMD, tibia length, body length, or metaphyseal area were identified in males on chromosomes (chr) 1, 8, and 15. In females, three significant QTLs linked to cortical BMC or metaphyseal total vBMD were identified on chr 1 and 2. Several additional suggestive loci for trabecular and cortical traits were detected in both males and females. Four female-specific QTLs on chr 2, 3, 5, and 10 and four reciprocal cross-specific QTLs on chr 1, 10, and 18 were identified, suggesting that both sex and mt genotype influence the expression of bone phenotypes. [source] Quantitative Trait Loci Affecting Ethanol Sensitivity in BXD Recombinant Inbred MiceALCOHOLISM, Issue 1 2000Kaitlin E. Browman Background: Genetic and environmental factors contribute to an individual's sensitivity to ethanol, although the exact genes underlying ethanol's effects are not known. Quantitative trait locus (QTL) mapping is one successful method for provisionally identifying genes participating in the mediation of a given behavior. QTL analyses seek to identify associations between a quantitative response and previously mapped marker genes across genetically diverse individuals. Many QTL analyses have been performed in BXD recombinant inbred (RI) strains of mice derived from a cross of C57BL/6J (B6) and DBA/2J (D2) progenitor strains. Methods: We conducted a QTL analysis of ethanol-induced loss of righting reflex and ataxia using a panel of 25 BXD RI strains and the progenitors B6 and D2. We measured the duration of loss of righting reflex after injection and blood ethanol concentrations upon regaining of righting reflex. Ataxia was measured as the latency to fall from a vertical screen. Results: Genome-wide QTL analyses correlating strain means with allelic status at >1500 markers identified several associations (p, 0.01). These provisional QTLs were on all chromosomes except 2,5,12,13, and X, and several map near potential candidate genes. Conclusions: These results suggest that ethanol sensitivity is determined by the actions of multiple genes and further suggest their general chromosomal map locations. These provisional linkages will now be confirmed or rejected using additional genetically segregating populations. [source] Molecular characteristics of the porcine DLK1 and MEG3 genesANIMAL GENETICS, Issue 2 2008X. P. Li Summary Imprinted genes play important roles in embryo survival and postnatal growth regulation. The DLK1 and MEG3 (previously GTL2) genes are linked and reciprocally imprinted in several mammals, but their imprinting status is still unknown in pigs. In this study, we report polymorphisms, imprinting status and QTL analyses of the porcine DLK1 and MEG3 genes. Muscle and adipose DNA and RNA samples from 30-day-old animals generated with reciprocal crosses between the Korean native pig (KNP) and Yorkshire breeds were used to analyse DLK1 and MEG3 variation and expression. The samples exhibited paternal expression of DLK1 and maternal expression of MEG3 in pigs. These results indicated that the imprinting status of the DLK1 and MEG3 genes is conserved across mammalian species. By linkage analyses, we assigned the DLK1 and MEG3 genes to the telomeric region of SSC7. By QTL analyses, we confirmed a significant polar overdominance (POD) effect in DLK1, which was previously detected for several growth traits in pigs. However, no significant POD effect was found with the MEG3 locus. [source] Mouse models for genetic dissection of polygenic gastrointestinal diseasesEUROPEAN JOURNAL OF CLINICAL INVESTIGATION, Issue 2 2003S. Hillebrandt Abstract Many diseases with a major public health impact are the result of complex interactions between environmental factors and multiple genes. In the past decade, methods for genome analysis, in particular quantitative trait locus (QTL) analysis in animal models, were developed to identify and localize the genes responsible for multifactorial (polygenic) diseases; QTL analysis is based on experimental crosses between inbred strains with high and low genetic susceptibility. Recently the genes underlying several QTLs could be cloned successfully. Here we describe the impact of these genomic approaches in mice on our understanding of the multifactorial genetics of three gastrointestinal diseases related to metabolism (cholesterol cholelithiasis), development (gastroschisis), and colorectal cancer. The examples demonstrate how mouse models continue to be an invaluable tool in unravelling complex pathomechanisms and unlocking our understanding of human diseases. [source] Interpreting analyses of continuous covariates in affected sibling pair linkage studiesGENETIC EPIDEMIOLOGY, Issue 6 2007Silke Schmidt Abstract Datasets collected for linkage analyses of complex human diseases often include a number of clinical or environmental covariates. In this study, we evaluated the performance of three linkage analysis methods when the relationship between continuous covariates and disease risk or linkage heterogeneity was modeled in three different ways: (1) The covariate distribution is determined by a quantitative trait locus (QTL), which contributes indirectly to the disease risk; (2) the covariate is not genetically determined, but influences the disease risk through statistical interaction with a disease susceptibility locus; (3) the covariate distribution differs in families linked or unlinked to a particular disease susceptibility locus. We analyzed simulated datasets with a regression-based QTL analysis, a nonparametric analysis of the binary affection status, and the ordered subset analysis (OSA). We found that a significant OSA result may be due to a gene that influences variability in the population distribution of a continuous disease risk factor. Conversely, a regression-based QTL analysis may detect the presence of gene-environment (G × E) interaction in a sample of primarily affected individuals. The contribution of unaffected siblings and the size of baseline lod scores may help distinguish between QTL and G × E models. As illustrated by a linkage study of multiplex families with age-related macular degeneration, our findings assist in the interpretation of analysis results in real datasets. They suggest that the side-by-side evaluation of OSA and QTL results may provide important information about the relationship of measured covariates with either disease risk or linkage heterogeneity. Genet. Epidemiol. 2007. © 2007 Wiley-Liss, Inc. [source] QTL for traits related to humoral immune response estimated from data of a porcine F2 resource populationINTERNATIONAL JOURNAL OF IMMUNOGENETICS, Issue 3 2009K. Wimmers Summary This study aimed to map quantitative trait loci (QTL) for traits related to humoral innate immune defence. Therefore, haemolytic complement activity in the alternative and the classical pathway, serum concentration of C3c and of haptoglobin (HP) were measured in blood samples obtained from F2 piglets (n = 457) of a porcine F2 resource population before and after Mycoplasma hyopneumoniae, Aujeszky's disease virus (Suid herpesvirus I, SuHVI) and porcine reproductive and respiratory syndrome virus (PRRSV) vaccination at 6, 14 and 16 weeks of age. Animals were genotyped at 88 autosomal markers. QTL analysis was performed under the line cross and the half sib. Phenotypic data were adjusted for systematic effects by mixed models with and without repeated measures statement. In total, 46 and 21 estimated QTL positions were detected with genome-wide significance at the 0.05 and 0.01 level, respectively. The proximal region of SSC2 (orthologous to HSA11 0,70 Mb), the distal region of SSC4 (HSA1 95,155 Mb), and the intermediate region of SSC16 (HSA5 0,73 Mb and 150,174 Mb) showed a clustering of estimated QTL positions for complement activity based on the different models. A common genetic background, i.e. a single true QTL, might underlie these QTL positions for related traits. In addition, QTL for antibody titres were detected on SSC1, 2, 6 and 7. With regard to number and magnitude of their impact, QTL for humoral innate immune traits behave like those for other quantitative traits. Discovery of such QTL facilitates the identification of candidate genes for disease resistance and immune competence that are applicable in selective breeding and further research towards improving therapeutic and prophylactic measures. [source] Genomewide SNP Screen to Detect Quantitative Trait Loci for Alcohol Preference in the High Alcohol Preferring and Low Alcohol Preferring MiceALCOHOLISM, Issue 3 2009Paula Bice Background:, The high and low alcohol preferring (HAP1 and LAP1) mouse lines were selectively bred for differences in alcohol intake. The HAP1 and LAP1 mice are essentially noninbred lines that originated from the outbred colony of HS/Ibg mice, a heterogeneous stock developed from intercrossing 8 inbred strains of mice. Methods:, A total of 867 informative SNPs were genotyped in 989 HAP1 × LAP1 F2, 68 F1s, 14 parents (6 LAP1, 8 HAP1), as well as the 8 inbred strains of mice crossed to generate the HS/Ibg colony. Multipoint genome wide analyses were performed to simultaneously detect linked QTLs and also fine map these regions using the ancestral haplotypes. Results:, QTL analysis detected significant evidence of association on 4 chromosomes: 1, 3, 5, and 9. The region on chromosome 9 was previously found linked in a subset of these F2 animals using a whole genome microsatellite screen. Conclusions:, We have detected strong evidence of association to multiple chromosomal regions in the mouse. Several of these regions include candidate genes previously associated with alcohol dependence in humans or other animal models. [source] Quantitative Trait Loci Affecting Ethanol Sensitivity in BXD Recombinant Inbred MiceALCOHOLISM, Issue 1 2000Kaitlin E. Browman Background: Genetic and environmental factors contribute to an individual's sensitivity to ethanol, although the exact genes underlying ethanol's effects are not known. Quantitative trait locus (QTL) mapping is one successful method for provisionally identifying genes participating in the mediation of a given behavior. QTL analyses seek to identify associations between a quantitative response and previously mapped marker genes across genetically diverse individuals. Many QTL analyses have been performed in BXD recombinant inbred (RI) strains of mice derived from a cross of C57BL/6J (B6) and DBA/2J (D2) progenitor strains. Methods: We conducted a QTL analysis of ethanol-induced loss of righting reflex and ataxia using a panel of 25 BXD RI strains and the progenitors B6 and D2. We measured the duration of loss of righting reflex after injection and blood ethanol concentrations upon regaining of righting reflex. Ataxia was measured as the latency to fall from a vertical screen. Results: Genome-wide QTL analyses correlating strain means with allelic status at >1500 markers identified several associations (p, 0.01). These provisional QTLs were on all chromosomes except 2,5,12,13, and X, and several map near potential candidate genes. Conclusions: These results suggest that ethanol sensitivity is determined by the actions of multiple genes and further suggest their general chromosomal map locations. These provisional linkages will now be confirmed or rejected using additional genetically segregating populations. [source] Quantitative trait loci analysis of mineral element concentrations in an Arabidopsis halleri × Arabidopsis lyrata petraea F2 progeny grown on cadmium-contaminated soilNEW PHYTOLOGIST, Issue 2 2010Glenda Willems Summary ,This study describes the quantitative trait locus (QTL) analysis of cadmium (Cd), zinc (Zn), iron (Fe), potassium (K), magnesium (Mg) and calcium (Ca) accumulation in the pseudometallophyte Arabidopsis halleri under conditions of Cd excess using an interspecific A. halleri × Arabidopsis lyrata F2 population. ,Our data provide evidence for the implication of one major QTL in Cd hyperaccumulation in A. halleri, and suggests that Cd tolerance and accumulation are not independent in A. halleri. Moreover, the major loci responsible for Zn hyperaccumulation in the absence of Cd appear to be the same when Cd is present at high concentrations. ,More than twofold higher Fe concentrations were measured in A. halleri shoots than in A. lyrata, suggesting a different regulation of Fe accumulation in the hyperaccumulator. ,With the exception of Ca, the accumulation of Cd was significantly correlated with the accumulation of all elements measured in the F2 progeny, suggesting pleiotropic gene action. However, QTL analysis identified pleiotropic QTLs only for Cd, Zn and Fe. Mg accumulation was negatively correlated with Cd accumulation, as well as with dry shoot biomass, suggesting that it might indicate cellular damage. [source] Quantitative trait loci for glucosinolate accumulation in Brassica rapa leavesNEW PHYTOLOGIST, Issue 4 2008Ping Lou Summary ,,Glucosinolates and their breakdown products have been recognized for their effects on plant defense, human health, flavor and taste of cruciferous vegetables. Despite this importance, little is known about the regulation of the biosynthesis and degradation in Brassica rapa. ,,Here, the identification of quantitative trait loci (QTL) for glucosinolate accumulation in B. rapa leaves in two novel segregating double haploid (DH) populations is reported: DH38, derived from a cross between yellow sarson R500 and pak choi variety HK Naibaicai; and DH30, from a cross between yellow sarson R500 and Kairyou Hakata, a Japanese vegetable turnip variety. ,,An integrated map of 1068 cM with 10 linkage groups, assigned to the international agreed nomenclature, is developed based on the two individual DH maps with the common parent using amplified fragment length polymorphism (AFLP) and single sequence repeat (SSR) markers. Eight different glucosinolate compounds were detected in parents and F1s of the DH populations and found to segregate quantitatively in the DH populations. QTL analysis identified 16 loci controlling aliphatic glucosinolate accumulation, three loci controlling total indolic glucosinolate concentration and three loci regulating aromatic glucosinolate concentrations. ,,Both comparative genomic analyses based on Arabidopsis,Brassica rapa synteny and mapping of candidate orthologous genes in B. rapa allowed the selection of genes involved in the glucosinolate biosynthesis pathway that may account for the identified QTL. [source] QTL analysis for the resistance to small brown planthopper (Laodelphax striatellus Fallén) in rice using backcross inbred linesPLANT BREEDING, Issue 1 2010C. X. Duan With 3 figures and 3 tables Abstract Small brown planthopper (SBPH) is a serious pest of rice (Oryza sativa L.) in China. An indica variety ,Kasalath' is highly resistant to SBPH. A mapping population consisting of 98 BC1F9 lines, derived from a backcross of ,Nipponbare'/,Kasalath'//,Nipponbare', was applied to detect quantitative trait loci (QTL) for resistance to SBPH. In the modified seedbox screening test, three QTLs for SBPH resistance were mapped on chromosomes 3 and 11, explaining 49.9% of the phenotypic variance. In the antixenosis test, a total of three QTLs conferring antixenosis against SBPH were detected on chromosomes 3, 8 and 11, which accounted for 36.4% of the total phenotypic variance. In addition, two QTLs expressing antibiosis to SBPH were detected on chromosomes 2 and 11, explaining 13.8% and 14.7% of the phenotypic variance, respectively. Qsbph11e, Qsbph11f and Qsbph11g were located in the region between S2260 and G257 on chromosome 11, indicating that the locus is significant in conferring resistance to SBPH in ,Kasalath'. The molecular markers linked to these QTLs should be useful in the development of varieties with horizontal resistance to SBPH. [source] QTL analysis of crown rust resistance in perennial ryegrass under conditions of natural and artificial infectionPLANT BREEDING, Issue 4 2007B. Schejbel Abstract Crown rust is an economically devastating disease of perennial ryegrass. Both artificial crown rust inoculations, with the possibility of several selection cycles in one year, as well as marker-assisted selection can be used for more efficient breeding of new resistant cultivars. The objective of this study was to map quantitative trait loci (QTL) for response to crown rust infection in perennial ryegrass. In order to identify relevant markers for response to crown rust infection, QTL mapping was performed on a ryegrass mapping population which was evaluated for resistance in the field for two years as well as by artificial pathogen inoculations using a detached leaf assessment. The broad sense heritability values for the field, detached leaf and combined assays were 0.42, 0.56, and 0.64, respectively, indicating a good potential for selection for crown rust resistance. A total of six QTLs were identified and mapped to linkage groups (LG) LG1, LG4 and LG5, explaining between 6.8% and 16.4% of the total phenotypic variation. [source] QTL analysis of resistance to Fusarium head blight in wheat using a ,Wangshuibai'-derived populationPLANT BREEDING, Issue 4 2005M. Mardi Abstract Fusarium head blight (FHB) is a devastating disease that reduces the yield, quality and economic value of wheat. For quantitative trait loci (QTL) analysis of resistance to FHB, F3 plants and F3:5 lines, derived from a ,Wangshuibai' (resistant)/,Seri82'(susceptible) cross, were spray inoculated during 2001 and 2002, respectively. Artificial inoculation was carried out under field conditions. Of 420 markers, 258 amplified fragment length polymorphism and 39 simple sequence repeat (SSR) markers were mapped and yielded 44 linkage groups covering a total genetic distance of 2554 cM. QTL analysis was based on the constructed linkage map and area under the disease progress curve. The analyses revealed a QTL in the map interval Xgwm533-Xs18/m12 on chromosome 3BS accounting for up to 17% of the phenotypic variation. In addition, a QTL was detected in the map interval Xgwm539-Xs15/m24 on chromosome 2DL explaining up to 11% of the phenotypic variation. The QTL alleles originated from ,Wangshuibai' and were tagged with SSR markers. Using these SSR markers would facilitate marker-assisted selection to improve FHB resistance in wheat. [source] QTL analysis of cooked rice grain elongation, volume expansion, and water absorption using a recombinant inbred populationPLANT BREEDING, Issue 2 2005X. J. Ge Abstract The traits of elongation, volume expansion, and water absorption are very important in determining the quality of cooked rice grains. In this study, quantitative trait loci (QTL) analysis of these traits was performed using a recombinant inbred population derived from a cross between two indica cultivars, ,Zhenshan 97' and ,Minghui 63,' which are the parents of the most widely grown hybrid rice in China. Using a linkage map based on 221 molecular marker loci covering a total of 1796 cM, a total of 33 QTLs were identified for the nine traits tested. QTLs were detected on chromosomes 1,3, 5,9, and 11, respectively. The QTLs identified included three for cooked rice grain length elongation (chromosomes 2, 6, and 11), six for width expansion (chromosomes 1- 3, 6, 9, and 11) and two for water absorption (chromosomes 2 and 6). Interestingly, a single QTL located near the wx gene on chromosome 6 seemed to influence all the traits tested for the cooked rice quality. [source] Genetic control over grain damage in a spring barley mapping populationPLANT BREEDING, Issue 1 2004P. Rajasekaran Abstract A genetic map was constructed using DNA-based markers in a barley mapping population derived from the cross ,Tankard'×,Livet', that was developed to explore the genetic control over grain damage in spring barley cultivars. Quantitative trait loci (QTL) were located for husk skinning, gape between the lemma and palea and splitting of the fused pericarp/testa/aleurone tissues. The QTL accounted for 70% of the genetic variation in Split and 60% of the genetic variation in Gape and Skinning. The QTL were clustered on chromosomes 1H, 4H, 5H, 6H and 7H. QTL analysis indicates the possibility of transgressive segregation for grain splitting and so the breeding of lines with more extreme splitting. This is of concern to the malting industry as, without extensive phenotypic assessment, such lines could be commercialized, as was the case of Landlord, and put malting barley supplies at risk. These findings are discussed in relation to the genetic control over traits including grain length and width. [source] Identification of QTLs affecting adaptive traits in Castanea sativa MillPLANT CELL & ENVIRONMENT, Issue 9 2004M CASASOLI ABSTRACT A QTL analysis for three different adaptive traits was performed in an F1 progeny of Castanea sativa Mill. The female and male parents originated from two Turkish chestnut populations adapted to a drought and humid environment, respectively. QTLs for bud flush, growth and carbon isotope discrimination were detected over a 3-year period. Bud set was also recorded in the last year of measurement. Thirty-five individual QTLs were detected for phenology, 28 for growth and 17 for carbon isotope discrimination, most of them explaining a low to moderate proportion of the total phenotypic variance. QTLs were distributed throughout the whole genome. Temporally stable QTLs were identified for all the traits analysed, with phenology showing the higher proportion of stable QTLs. Interesting phenotypic correlations and co-localizations among QTLs for different adaptive traits were observed, allowing the formulation of an hypothesis about the genetic adaptation of the female parent to drought. [source] Genetic parameters and QTL analysis of ,13C and ring width in maritime pinePLANT CELL & ENVIRONMENT, Issue 8 2002O. Brendel Abstract Classical quantitative genetics and quantitative trait dissection analysis (QTL) approaches were used in order to investigate the genetic determinism of wood cellulose carbon isotope composition (,13C, a time integrated estimate of water use efficiency) and of diameter growth and their relationship on adult trees (15 years) of a forest tree species (maritime pine). A half diallel experimental set-up was used to (1) estimate heritabilities for ,13C and ring width and (2) to decompose the phenotypic ,13C/growth correlation into its genetic and environmental components. Considerable variation was found for ,13C (range of over 3,) and for ring width (range of over 5 mm) and significant heritabilities (narrow sense 0·17/0·19 for ,13C and ring width, respectively, 100% additivity). The significant phenotypic correlation between ,13C and ring width was not determined by the genetic component, but was attributable to environmental components. Using a genetic linkage map of a full-sib family, four significant and four suggestive QTLs were detected for ,13C, the first for ,13C in a forest tree species, as far as known to the authors. Two significant and four suggestive QTLs were found for ring width. No co-location of QTLs was found between ,13C and growth. [source] QTL for resistance to summer mortality and OsHV-1 load in the Pacific oyster (Crassostrea gigas)ANIMAL GENETICS, Issue 4 2010C. Sauvage Summary Summer mortality is a phenomenon severely affecting the aquaculture production of the Pacific oyster (Crassostrea gigas). Although its causal factors are complex, resistance to mortality has been described as a highly heritable trait, and several pathogens including the virus Ostreid Herpes virus type 1 (OsHV-1) have been associated with this phenomenon. A QTL analysis for survival of summer mortality and OsHV-1 load, estimated using real-time PCR, was performed using five F2 full-sib families resulting from a divergent selection experiment for resistance to summer mortality. A consensus linkage map was built using 29 SNPs and 51 microsatellite markers. Five significant QTL were identified and assigned to linkage groups V, VI, VII and IX. Analysis of single full-sib families revealed differential QTL segregation between families. QTL for the two-recorded traits presented very similar locations, highlighting the interest of further study of their respective genetic controls. These QTL show substantial genetic variation in resistance to summer mortality, and present new opportunities for selection for resistance to OsHV-1. [source] Quantitative trait loci for litter size and prenatal loss in a White Duroc × Chinese Erhualian resource populationANIMAL GENETICS, Issue 6 2009K. Li Summary To detect quantitative trait loci (QTL) for litter size related traits, the total number of born piglets (TNB), the number of born alive piglets (NBA), the number of stillborn piglets (NSB) and the number of mummies (NM) at the first parity were recorded in 299 F2 sows in a White Duroc × Chinese Erhualian intercross resource population. A whole genome scan was performed with 183 microsatellites distributed across 19 porcine chromosomes in the resource population, and the QTL analysis was performed with a least-squares method. A 5% genome-wide significant QTL was detected at 88 cM on pig chromosome (SSC) 15 for NBA, which also showed suggestive effect on TNB. In addition, four suggestive QTL were detected on SSC 6, 7, 8 and 15 for TNB, NBA or NSB. Two of the five QTL detected showed accordance with previous reports. No QTL was found for NM. [source] Quantitative trait loci associated with fatness in a broiler,layer crossANIMAL GENETICS, Issue 5 2009R. L. R. Campos Summary An F2 population established by crossing a broiler male line and a layer line was used to map quantitative trait loci (QTL) affecting abdominal fat weight, abdominal fat percentage and serum cholesterol and triglyceride concentrations. Two genetic models, the line-cross and the half-sib, were applied in the QTL analysis, both using the regression interval method. Three significant QTL and four suggestive QTL were mapped in the line-cross analysis and four significant and four suggestive QTL were mapped in the half-sib analysis. A total of five QTL were mapped for abdominal fat weight, six for abdominal fat percentage and four for triglyceride concentration in both analyses. New QTL associated with serum triglyceride concentration were mapped on GGA5, GGA23 and GG27. QTL mapped between markers LEI0029 and ADL0371 on GGA3 for abdominal fat percentage and abdominal fat weight and a suggestive QTL on GGA12 for abdominal fat percentage showed significant parent-of-origin effects. Some QTL mapped here match QTL regions mapped in previous studies using different populations, suggesting good candidate regions for fine-mapping and candidate gene searches. [source] Genome-wide scan for bovine twinning rate QTL using linkage disequilibriumANIMAL GENETICS, Issue 3 2009E.-S. Kim Summary Twinning is a complex trait with negative impacts on health and reproduction, which cause economic loss in dairy production. Several twinning rate quantitative trait loci (QTL) have been detected in previous studies, but confidence intervals for QTL location are broad and many QTL are unreplicated. To identify genomic regions or genes associated with twinning rate, QTL analysis based on linkage combined with linkage disequilibrium (LLD) and individual marker associations was conducted across the genome using high-throughput single nucleotide polymorphism (SNP) genotypes. A total of 9919 SNP markers were genotyped with 200 sires and sons in 19 half-sib North American Holstein dairy cattle families. After SNPs were genotyped, informative markers were selected for genome-wide association tests and QTL searches. Evidence for twinning rate QTL was found throughout the genome. Thirteen markers significantly associated with twinning rate were detected on chromosomes 2, 5 and 14 (P < 2.3 × 10,5). Twenty-six regions on fourteen chromosomes were identified by LLD analysis at P < 0.0007. Seven previously reported ovulation or twinning rate QTL were supported by results of single marker association or LLD analyses. Single marker association analysis and LLD mapping were complementary tools for the identification of putative QTL in this genome scan. [source] Identification of quantitative trait loci for growth-related traits in the Pacific abalone Haliotis discus hannai InoAQUACULTURE RESEARCH, Issue 8 2007Xiande Liu Abstract The locations and effects of quantitative trait loci (QTL) were estimated for nine characters for growth-related traits in the Pacific abalone (Haliotis discus hannai Ino) using a randomly amplified polymorphic DNA (RAPD), amplification fragment length polymorphism (AFLP) and SSR genetic linkage map. Twenty-eight putatively significant QTLs (LOD>2.4) were detected for nine traits (shell length, shell width, total weight, shell weight, weight of soft part, muscle weight, gonad and digestive gland weight, mantle weight and gill weight). The percentage of phenotypic variation explained by a single QTL ranged from 8.0% to 35.9%. The significant correlations (P<0.001) were found among all the growth-related traits, and Pearson's correlation coefficients were more than 0.81. For the female map, the QTL for growth were concentrated on groups 1 and 4 linkage maps. On the male map, the QTL that influenced growth-related traits gathered on the groups 1 and 9 linkage maps. Genetic linkage map construction and QTL analysis for growth-related traits are the basis for the marker-assisted selection and will eventually improve production and quality of the Pacific abalone. [source] An Empirical Bayes Method for Estimating Epistatic Effects of Quantitative Trait LociBIOMETRICS, Issue 2 2007Shizhong Xu Summary The genetic variance of a quantitative trait is often controlled by the segregation of multiple interacting loci. Linear model regression analysis is usually applied to estimating and testing effects of these quantitative trait loci (QTL). Including all the main effects and the effects of interaction (epistatic effects), the dimension of the linear model can be extremely high. Variable selection via stepwise regression or stochastic search variable selection (SSVS) is the common procedure for epistatic effect QTL analysis. These methods are computationally intensive, yet they may not be optimal. The LASSO (least absolute shrinkage and selection operator) method is computationally more efficient than the above methods. As a result, it has been widely used in regression analysis for large models. However, LASSO has never been applied to genetic mapping for epistatic QTL, where the number of model effects is typically many times larger than the sample size. In this study, we developed an empirical Bayes method (E-BAYES) to map epistatic QTL under the mixed model framework. We also tested the feasibility of using LASSO to estimate epistatic effects, examined the fully Bayesian SSVS, and reevaluated the penalized likelihood (PENAL) methods in mapping epistatic QTL. Simulation studies showed that all the above methods performed satisfactorily well. However, E-BAYES appears to outperform all other methods in terms of minimizing the mean-squared error (MSE) with relatively short computing time. Application of the new method to real data was demonstrated using a barley dataset. [source] | ||||||||||||||||