ORCID Profile
0000-0002-9811-0210
Current Organisations
The University of Edinburgh
,
University of Oxford
,
Balliol College
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Publisher: Wiley
Date: 27-02-2012
DOI: 10.1111/J.1365-2052.2012.02322.X
Abstract: A previous analysis of an F(2) /Backcross Charolais × Holstein cross population identified the presence of a highly significant QTL on chromosome 6 (BTA6) affecting the proportion of bone in the carcass. Two closely linked QTL affected birth weight (BW) and body length at birth (BBL). In this report, the marker density around the QTL on BTA6 was increased, adding four additional microsatellite markers across the chromosome and 46 SNPs within the target QTL confidence interval. Of the SNPs, 26 were in positional candidate genes and the remaining 20 provided an even distribution of markers in the target QTL region. As a bone-related trait, the sum of the bone weight for all the left fore- and hindquarter joints of the carcass was analysed. We also studied the BW and BBL. Analyses of the data substantially reduced the QTL confidence interval. No strong evidence was found that the QTL for the three traits studied are different, and we conclude that the results are consistent with a single pleiotropic QTL influencing the three traits, with the largest effects on the proportion of bone in the carcass. The analyses also suggest that none of the SNPs tested is the sole causative variant of the QTL effects. Specifically, the SNP in the NCAPG gene previously reported as a causal mutation for foetal growth and carcass traits in other cattle populations was excluded as the causal mutation for the QTL reported here. Polymorphisms located in other previously identified candidate genes including SPP1, ABCG2, IBSP, MEPE and PPARGC1A were also excluded. The results suggest that SNP51_BTA-119876 is the polymorphism in strongest linkage disequilibrium with the causal mutation(s). Further research is required to identify the causal variant(s) associated with this bone-related QTL.
Publisher: Canadian Science Publishing
Date: 2001
DOI: 10.1139/GEN-44-1-7
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.
Publisher: Springer Science and Business Media LLC
Date: 03-2002
Publisher: Springer Science and Business Media LLC
Date: 16-10-2020
Publisher: Cold Spring Harbor Laboratory
Date: 23-10-2019
DOI: 10.1101/815035
Abstract: The Apolipoprotein E ( APOE ) ε4 allele is the strongest genetic risk factor for late onset Alzheimer’s disease, while the ε2 allele confers protection. Previous studies report differential DNA methylation of APOE between ε4 and ε2 carriers, but associations with epigenome-wide methylation have not previously been characterised. Using the EPIC array, we investigated epigenome-wide differences in whole blood DNA methylation patterns between Alzheimer’s disease-free APOE ε4 (n=2469) and ε2 (n=1118) carriers from the two largest single-cohort DNA methylation s les profiled to date. Using a discovery, replication and meta-analysis study design, methylation differences were identified using epigenome-wide association analysis and differentially methylated region (DMR) approaches. Results were explored using pathway and methylation quantitative trait loci (meQTL) analyses. We obtained replicated evidence for DNA methylation differences in a ~ 169kb region, which encompasses part of APOE and several upstream genes. Meta-analytic approaches identified DNA methylation differences outside of APOE: differentially methylated positions were identified in DHCR24, LDLR and ABCG1 (2.59 x 10 −100 ≤ P ≤2.44 x 10 −8 ) and DMRs were identified in SREBF2 and LDLR (1.63 x 10 −4 ≤ P ≤3.01 x 10 −2 ). Pathway and meQTL analyses implicated lipid-related processes and high density lipoprotein cholesterol was identified as a partial mediator of the methylation differences in ABCG1 and DHCR24 . APOE ε4 vs. ε2 carrier status is associated with epigenome-wide methylation differences in the blood. The loci identified are located in trans as well as cis to APOE and implicate genes involved in lipid homeostasis.
Publisher: Oxford University Press (OUP)
Date: 06-04-2011
DOI: 10.1093/BIOINFORMATICS/BTR172
Abstract: Motivation: Hundreds of genome-wide association studies have been performed over the last decade, but as single nucleotide polymorphism (SNP) chip density has increased so has the computational burden to search for epistasis [for n SNPs the computational time resource is O(n(n−1)/2)]. While the theoretical contribution of epistasis toward phenotypes of medical and economic importance is widely discussed, empirical evidence is conspicuously absent because its analysis is often computationally prohibitive. To facilitate resolution in this field, tools must be made available that can render the search for epistasis universally viable in terms of hardware availability, cost and computational time. Results: By partitioning the 2D search grid across the multicore architecture of a modern consumer graphics processing unit (GPU), we report a 92× increase in the speed of an exhaustive pairwise epistasis scan for a quantitative phenotype, and we expect the speed to increase as graphics cards continue to improve. To achieve a comparable computational improvement without a graphics card would require a large compute-cluster, an option that is often financially non-viable. The implementation presented uses OpenCL—an open-source library designed to run on any commercially available GPU and on any operating system. Availability: The software is free, open-source, platform-independent and GPU-vendor independent. It can be downloaded from rojects/epigpu/. Contact: gib.hemani@roslin.ed.ac.uk
Publisher: Springer Science and Business Media LLC
Date: 30-08-2018
Publisher: Cold Spring Harbor Laboratory
Date: 02-08-2018
DOI: 10.1101/383125
Abstract: Between-species competition shapes the distribution and abundance of populations. Aedes aegypti and Ae. albopictus are vectors of pathogens such as dengue and are known to compete at the larval stage. The outcome of this inter-species competition has been found to be context dependent, with the strength and direction changing with resource availability and type. We were motivated by this uncertainty, and aimed to elucidate the magnitude and mechanism of competition. We manipulated the larval density of mixed and single species cohorts of larvae, measuring the effects on survivorship and development time. Unlike other related studies, we adjusted the feeding regime so that the per-capita resource availability was kept constant across all density treatments, at a level sufficient for successful development. This ensured that each larvae at least had the opportunity to gain the requisite resources for pupation. Our analysis found that Ae. aegypti suffered notably less mortality due to intra- and interspecific competition. For both species, intra- and interspecific competition led to the survival of faster developing in iduals, with the exception that slower developing Ae. albopictus larvae survived when exposed a combination of both high con- and heterospecific densities. These results show that the competition between Ae. aegypti and Ae. albopictus can still occur even when resources are theoretically adequate for development. This suggests that larvae can alter resource seeking and consumption parameters when exposed to high densities of conspecifics and heterospecifics, leading to contest competition. Evidence for resource-independent mechanisms of competition such as crowding are also found, as is evidence for the importance of demographic stochasticity in population processes.
Publisher: Oxford University Press (OUP)
Date: 06-2003
Publisher: Public Library of Science (PLoS)
Date: 28-02-2013
Publisher: Wiley
Date: 02-06-2020
DOI: 10.1111/EEN.12877
Publisher: Wiley
Date: 07-07-2011
DOI: 10.1111/J.1365-2052.2011.02223.X
Abstract: Dissecting the genetic control of complex trait variation remains very challenging, despite many advances in technology. The aim of this study was to use a major growth quantitative trait locus (QTL) in chickens mapped to chromosome 4 as a model for a targeted approach to dissect the QTL. We applied a variant of the genetical genomics approach to investigate genome-wide gene expression differences between two contrasting genotypes of a marked QTL. This targeted approach allows the direct quantification of the link between the genotypes and the genetic responses, thus narrowing the QTL-phenotype gap using fewer s les (i.e. microarrays) compared with the genome-wide genetical genomics studies. Four differentially expressed genes were localized under the region of the QTL. One of these genes is a potential positional candidate gene (AADAT) that affects lysine and tryptophan metabolism and has alternative splicing variants between the two genotypes. In addition, the lysine and glycolysis metabolism pathways were significantly enriched for differentially expressed genes across the genome. The targeted approach provided a complementary route to fine mapping of QTL by characterizing the local and the global downstream effects of the QTL and thus generating further hypotheses about the action of that QTL.
Publisher: Springer Science and Business Media LLC
Date: 23-02-2009
DOI: 10.1186/1753-6561-3-S1-S6
Abstract: We applied a range of genome-wide association (GWA) methods to map quantitative trait loci (QTL) in the simulated dataset provided by the 12 th QTLMAS workshop in order to derive an effective strategy. A variance component linkage analysis revealed QTLs but with low resolution. Three single-marker based GWA methods were then applied: Transmission Disequilibrium Test and single marker regression, fitting an additive model or a genotype model, on phenotypes pre-corrected for pedigree and fixed effects. These methods detected QTL positions with high concordance to each other and with greater refinement of the linkage signals. Further multiple-marker and haplotype analyses confirmed the results with higher significance. Two-locus interaction analysis detected two epistatic pairs of markers that were not significant by marginal effects. Overall, using stringent Bonferroni thresholds we identified 9 additive QTL and 2 epistatic interactions, which together explained about 12.3% of the corrected phenotypic variance. The combination of methods that are robust against population stratification, like QTDT, with flexible linear models that take account of the family structure provided consistent results. Extensive simulations are still required to determine appropriate thresholds for more advanced model including epistasis.
Publisher: Oxford University Press (OUP)
Date: 2009
Abstract: A genome scan to detect QTL influencing growth and carcass-related traits was conducted in a Charolais x Holstein crossbred cattle population. Phenotypic measurements related to growth and carcass traits were made on the 235 second-generation crossbred males of this herd (F2 and reciprocal backcrosses), which were born in 4 consecutive annual cohorts. Traits measured in vivo were related to birth dimensions, growth rates, and ultrasound measurements of fat and muscle depth. The animals were slaughtered near a target BW of 550 kg, and a wide range of postmortem traits were measured: visual assessment of carcass conformation and carcass fatness, estimated subcutaneous fat percentage, weights of kidney knob and channel fat, and weights of carcass components after commercial and full-tissue dissections. The whole population, including grandparents, parents, and the crossbred bulls, was genotyped initially for 139 genome-wide microsatellite markers. Twenty-six additional markers were subsequently analyzed to increase marker density on some of the chromosomes where QTL had been initially identified. The linear regression analyses based on the 165 markers revealed a total of 51 significant QTL at the suggestive level, 21 of which were highly significant (F-value >or=9 based on the genome-wide thresholds obtained in the initial scan). A large proportion of the highly significant associations were found on chromosomes 5 and 6. The most highly significant QTL was localized between markers DIK1054 and DIK082 on chromosome 6 and explained about 20% of the phenotypic variance for the total bone proportion estimated after the commercial dissection. In the adjacent marker interval on this chromosome, 2 other highly significant QTL were found that explain about 30% of the phenotypic variance for birth dimension traits (BW and body length at birth). On chromosome 5, the most significant association influenced the lean:bone ratio at the forerib joint and was flanked by markers DIK4782 and BR2936. Other highly significant associations were detected on chromosomes 10 (estimated subcutaneous fat percentage), 11 (total saleable meat proportion), 16 (prehousing growth rate), and 22 (bone proportion at the leg joint). These results provide a useful starting point for the identification of the genes associated with traits of direct interest to the beef industry, using fine mapping or positional candidate gene approaches.
Publisher: F1000 Research Ltd
Date: 16-07-2021
DOI: 10.12688/WELLCOMEOPENRES.15538.2
Abstract: STratifying Resilience and Depression Longitudinally (STRADL) is a population-based study built on the Generation Scotland: Scottish Family Health Study (GS:SFHS) resource. The aim of STRADL is to subtype major depressive disorder (MDD) on the basis of its aetiology, using detailed clinical, cognitive, and brain imaging assessments. The GS:SFHS provides an important opportunity to study complex gene-environment interactions, incorporating linkage to existing datasets and inclusion of early-life variables for two longitudinal birth cohorts. Specifically, data collection in STRADL included: socio-economic and lifestyle variables physical measures questionnaire data that assesses resilience, early-life adversity, personality, psychological health, and lifetime history of mood disorder laboratory s les cognitive tests and brain magnetic resonance imaging. Some of the questionnaire and cognitive data were first assessed at the GS:SFHS baseline assessment between 2006-2011, thus providing longitudinal measures relevant to the study of depression, psychological resilience, and cognition. In addition, routinely collected historic NHS data and early-life variables are linked to STRADL data, further providing opportunities for longitudinal analysis. Recruitment has been completed and we consented and tested 1,188 participants.
Publisher: Springer Science and Business Media LLC
Date: 16-04-2018
DOI: 10.1038/S41467-018-03819-3
Abstract: Depression is a polygenic trait that causes extensive periods of disability. Previous genetic studies have identified common risk variants which have progressively increased in number with increasing s le sizes of the respective studies. Here, we conduct a genome-wide association study in 322,580 UK Biobank participants for three depression-related phenotypes: broad depression, probable major depressive disorder (MDD), and International Classification of Diseases (ICD, version 9 or 10)-coded MDD. We identify 17 independent loci that are significantly associated ( P 5 × 10 −8 ) across the three phenotypes. The direction of effect of these loci is consistently replicated in an independent s le, with 14 loci likely representing novel findings. Gene sets are enriched in excitatory neurotransmission, mechanosensory behaviour, post synapse, neuron spine and dendrite functions. Our findings suggest that broad depression is the most tractable UK Biobank phenotype for discovering genes and gene sets that further our understanding of the biological pathways underlying depression.
Publisher: Springer Science and Business Media LLC
Date: 2007
DOI: 10.1007/S00335-006-0016-8
Abstract: Arthrogryposis is a congenital malformation affecting the limbs of newborn animals and infants. Previous work has demonstrated that inherited ovine arthrogryposis (IOA) has an autosomal recessive mode of inheritance. Two affected homozygous recessive (art/art) Suffolk rams were used as founders for a backcross pedigree of half-sib families segregating the IOA trait. A genome scan was performed using 187 microsatellite genetic markers and all backcross animals were phenotyped at birth for the presence and severity of arthrogryposis. Pairwise LOD scores of 1.86, 1.35, and 1.32 were detected for three microsatellites, BM741, JAZ, and RM006, that are located on sheep Chr 5 (OAR5). Additional markers in the region were identified from the genetic linkage map of BTA7 and by in silico analyses of the draft bovine genome sequence, three of which were informative. Interval mapping of all autosomes produced an F value of 21.97 (p < 0.01) for a causative locus in the region of OAR5 previously flagged by pairwise linkage analysis. Inspection of the orthologous region of HSA5 highlighted a previously fine-mapped locus for human arthrogryposis multiplex congenita neurogenic type (AMCN). A survey of the HSA5 genome sequence identified plausible candidate genes for both IOA and human AMCN.
Publisher: Informa UK Limited
Date: 08-2005
DOI: 10.1080/00071660500158055
Abstract: 1. A genome scan was performed to locate genomic regions associated with traits that are known to vary in birds (most commonly broilers) suffering from heart, lung or muscular dysfunction and for weight of the dressed carcass and some internal organs. 2. The F2 population studied was derived from a cross between a broiler and a layer line and consisted of over 460 birds that were genotyped for 101 markers. 3. There was strong support for segregation of quantitative trait loci (QTL) for carcass and organ weights and blood variables. We identified 11 genome-wide significant QTL (most of them for dressed carcass weight) and several genome-wide suggestive QTL. 4. The results point to some genome regions that may be associated with health-related traits and merit further study, with the final aim of identifying linked genetic markers that could be used in commercial breeding programmes to decrease the incidence of muscular and metabolic disorders in broiler populations.
Publisher: Public Library of Science (PLoS)
Date: 25-11-2019
Publisher: Wiley
Date: 03-05-2006
DOI: 10.1111/J.1365-2052.2006.01424.X
Abstract: The aim of the study was to investigate quantitative trait loci (QTL) in previously identified regions of chicken chromosomes 1, 4 and 5 relating to 40-day body weights and conformation scores. Half-sib (HS) and variance component analyses were implemented and compared using QTL Express software. Data were from a two-generation design and consisted of 100 dam families nested in 46 sire families with trait values for 2,708 offspring. Chicken chromosome 4 showed nominal significance for QTL affecting body weight and conformation, and linkage was confirmed for both traits on chromosome 5. Results varied according to method of analysis and with common parent in the HS method.
Publisher: Cold Spring Harbor Laboratory
Date: 25-09-2020
DOI: 10.1101/2020.09.24.20200048
Abstract: The subset of patients who develop critical illness in Covid-19 have extensive inflammation affecting the lungs 1 and are strikingly different from other patients: immunosuppressive therapy benefits critically-ill patients, but may harm some non-critical cases. 2 Since susceptibility to life-threatening infections and immune-mediated diseases are both strongly heritable traits, we reasoned that host genetic variation may identify mechanistic targets for therapeutic development in Covid-19. 3 GenOMICC (Genetics Of Mortality In Critical Care, genomicc.org ) is a global collaborative study to understand the genetic basis of critical illness. Here we report the results of a genome-wide association study (GWAS) in 2244 critically-ill Covid-19 patients from 208 UK intensive care units (ICUs), representing % of all ICU beds. Ancestry-matched controls were drawn from the UK Biobank population study and results were confirmed in GWAS comparisons with two other population control groups: the 100,000 genomes project and Generation Scotland. We identify and replicate three novel genome-wide significant associations, at chr19p13.3 (rs2109069, p = 3.98 × 10 −12 ), within the gene encoding dipeptidyl peptidase 9 ( DPP9 ), at chr12q24.13 (rs10735079, p =1.65 × 10 −8 ) in a gene cluster encoding antiviral restriction enzyme activators ( OAS1, OAS2, OAS3 ), and at chr21q22.1 (rs2236757, p = 4.99 × 10 −8 ) in the interferon receptor gene IFNAR2 . Consistent with our focus on extreme disease in younger patients with less comorbidity, we detect a stronger signal at the known 3p21.31 locus than previous studies (rs73064425, p = 4.77 × 10 −30 ). We identify potential targets for repurposing of licensed medications. Using Mendelian randomisation we found evidence in support of a causal link from low expression of IFNAR2 , and high expression of TYK2 , to life-threatening disease. Transcriptome-wide association in lung tissue revealed that high expression of the monocyte/macrophage chemotactic receptor CCR2 is associated with severe Covid-19. Our results identify robust genetic signals relating to key host antiviral defence mechanisms, and mediators of inflammatory organ damage in Covid-19. Both mechanisms may be amenable to targeted treatment with existing drugs. Large-scale randomised clinical trials will be essential before any change to clinical practice.
Publisher: Springer Science and Business Media LLC
Date: 08-06-2020
DOI: 10.1038/S41467-020-16520-1
Abstract: Linking epigenetic marks to clinical outcomes improves insight into molecular processes, disease prediction, and therapeutic target identification. Here, a statistical approach is presented to infer the epigenetic architecture of complex disease, determine the variation captured by epigenetic effects, and estimate phenotype-epigenetic probe associations jointly. Implicitly adjusting for probe correlations, data structure (cell-count or relatedness), and single-nucleotide polymorphism (SNP) marker effects, improves association estimates and in 9,448 in iduals, 75.7% (95% CI 71.70–79.3) of body mass index (BMI) variation and 45.6% (95% CI 37.3–51.9) of cigarette consumption variation was captured by whole blood methylation array data. Pathway-linked probes of blood cholesterol, lipid transport and sterol metabolism for BMI, and xenobiotic stimuli response for smoking, showed .5 times larger associations with % posterior inclusion probability. Prediction accuracy improved by 28.7% for BMI and 10.2% for smoking over a LASSO model, with age-, and tissue-specificity, implying associations are a phenotypic consequence rather than causal.
Publisher: Elsevier BV
Date: 02-2017
Publisher: Springer Science and Business Media LLC
Date: 07-2015
DOI: 10.1038/NATURE14618
Publisher: Elsevier BV
Date: 09-2017
Publisher: Wiley
Date: 27-06-2019
DOI: 10.1111/JBG.12384
Abstract: Through his own research contributions on the modelling and genetic analysis of quantitative traits and through his former students and postdocs, Robin Thompson has indirectly left a major legacy in human genetics. In this short note, we highlight ex les of the long-lasting relevance and impact of Robin's work in human genetics. A lone early study of marker-assisted selection developed many of the tools and approaches later exploited (often after reinvention) by the human genetics community in GWAS studies and for prediction. Furthermore, a particularly clear ex le of the pervasive impact of Robin's work is that REML has become the default method to estimate variance components and that genetic predictions exploiting linkage disequilibrium in the population are starting to become used in precision medicine applications.
Publisher: Springer Science and Business Media LLC
Date: 11-12-2021
DOI: 10.1038/S41586-020-03065-Y
Abstract: Host-mediated lung inflammation is present
Publisher: Public Library of Science (PLoS)
Date: 19-08-2011
Publisher: Springer Science and Business Media LLC
Date: 06-1999
DOI: 10.1046/J.1365-2540.1999.00521.X
Abstract: Genetic markers provide a potentially powerful means of identifying the breed of in idual animals. In this study diallelic and microsatellite loci were compared for their efficiency in discriminating among cattle breeds. Data were simulated for seven European cattle breeds using allele frequencies estimated at 20 microsatellite and 30 diallelic markers. Animals were assigned to the breed for which their genotype had the highest probability, and the power of the method assessed by estimating the error rate or proportion of animals misclassified. The number of markers required for discriminating among pure, or both pure and crossbreed, animals was investigated using either randomly s led markers or markers selected on in idual error rate. The relationship between in idual marker variability and discriminatory power was also investigated. Microsatellite markers were found to be more powerful than diallelic markers for distinguishing among the breeds. The most discriminatory markers were those with the highest average heterozygosity and observed number of alleles. The number of markers needed to achieve a particular error rate could be reduced by selecting markers with the lowest in idual error rates. Discrimination among both crossbreeds and pure breeds required approximately three times as many markers as discrimination among pure breeds alone.
Publisher: Springer Science and Business Media LLC
Date: 15-02-2012
DOI: 10.1038/EJHG.2012.17
Publisher: Wiley
Date: 12-2002
DOI: 10.1046/J.1365-2052.2002.00889.X
Abstract: The polymorphism at the PvuII recognition site in the ESR gene showed no statistically significant association with sow productivity traits in a Meishan x Large White F2 population. Estimates of the effect on litter size were, however, in the opposite direction and statistically different from previously published estimates. Taken together with results from other publications, results here indicate that this PvuII polymorphism displays different degrees of linkage disequilibrium with a gene or genes controlling litter size in different populations.
Publisher: Wiley
Date: 21-07-2011
DOI: 10.1111/J.1365-2052.2011.02234.X
Abstract: The performance of linear regression models in genome-wide association studies is influenced by how marker information is parameterized in the model. Considering the impact of parameterization is especially important when using information from multiple markers to test for association. Properties of the population, such as linkage disequilibrium (LD) and allele frequencies, will also affect the ability of a model to provide statistical support for an underlying quantitative trait locus (QTL). Thus, for a given location in the genome, the relationship between population properties and model parameterization is expected to influence the performance of the model in providing evidence for the position of a QTL. As LD and allele frequencies vary throughout the genome and between populations, understanding the relationship between these properties and model parameterization is of considerable importance in order to make optimal use of available genomic data. Here, we evaluate the performance of regression-based association models using genotype and haplotype information across the full spectrum of allele frequency and LD scenarios. Genetic marker data from 200 broiler chickens were used to simulate genomic conditions by selecting in idual markers to act as surrogate QTL (sQTL) and then investigating the ability of surrounding markers to estimate sQTL genotypes and provide statistical support for their location. The LD and allele frequencies of markers and sQTL are shown to have a strong effect on the performance of models relative to one another. Our results provide an indication of the best choice of model parameterization given certain scenarios of marker and QTL LD and allele frequencies. We demonstrate a clear advantage of haplotype-based models, which account for phase uncertainty over other models tested, particularly for QTL with low minor allele frequencies. We show that the greatest advantage of haplotype models over single-marker models occurs when LD between markers and the causal locus is low. Under these situations, haplotype models have a greater accuracy of predicting the location of the QTL than other models tested.
Publisher: Public Library of Science (PLoS)
Date: 03-2018
Publisher: Springer Science and Business Media LLC
Date: 09-10-2020
DOI: 10.1038/S41467-020-19099-9
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Publisher: Oxford University Press (OUP)
Date: 08-2004
DOI: 10.1534/GENETICS.104.026401
Abstract: A whole-genome scan was conducted to map quantitative trait loci (QTL) for BSE resistance or susceptibility. Cows from four half-sib families were included and 173 microsatellite markers were used to construct a 2835-cM (Kosambi) linkage map covering 29 autosomes and the pseudoautosomal region of the sex chromosome. Interval mapping by linear regression was applied and extended to a multiple-QTL analysis approach that used identified QTL on other chromosomes as cofactors to increase mapping power. In the multiple-QTL analysis, two genome-wide significant QTL (BTA17 and X/Yps) and four genome-wide suggestive QTL (BTA1, 6, 13, and 19) were revealed. The QTL identified here using linkage analysis do not overlap with regions previously identified using TDT analysis. One factor that may explain the disparity between the results is that a more extensive data set was used in the present study. Furthermore, methodological differences between TDT and linkage analyses may affect the power of these approaches.
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Chris Haley.