A splice-acceptor site variant in the bovine PIGH gene causes glycosylphosphatidyl inositol deficiency and lethal arthrogryposis syndrome.Sartelet, Arnaud ; ; et alPoster (2013, January 28) Detailed reference viewed: 29 (10 ULg) Toward genomic prediction from whole-genome sequence data: impact of sequencing design on genotype imputation and accuracy of predictions.Druet, Tom ; ; in Heredity (2013) Genomic prediction from whole-genome sequence data is attractive, as the accuracy of genomic prediction is no longer bounded by extent of linkage disequilibrium between DNA markers and causal mutations ... [more ▼] Genomic prediction from whole-genome sequence data is attractive, as the accuracy of genomic prediction is no longer bounded by extent of linkage disequilibrium between DNA markers and causal mutations affecting the trait, given the causal mutations are in the data set. A cost-effective strategy could be to sequence a small proportion of the population, and impute sequence data to the rest of the reference population. Here, we describe strategies for selecting individuals for sequencing, based on either pedigree relationships or haplotype diversity. Performance of these strategies (number of variants detected and accuracy of imputation) were evaluated in sequence data simulated through a real Belgian Blue cattle pedigree. A strategy (AHAP), which selected a subset of individuals for sequencing that maximized the number of unique haplotypes (from single-nucleotide polymorphism panel data) sequenced gave good performance across a range of variant minor allele frequencies. We then investigated the optimum number of individuals to sequence by fold coverage given a maximum total sequencing effort. At 600 total fold coverage (x 600), the optimum strategy was to sequence 75 individuals at eightfold coverage. Finally, we investigated the accuracy of genomic predictions that could be achieved. The advantage of using imputed sequence data compared with dense SNP array genotypes was highly dependent on the allele frequency spectrum of the causative mutations affecting the trait. When this followed a neutral distribution, the advantage of the imputed sequence data was small; however, when the causal mutations all had low minor allele frequencies, using the sequence data improved the accuracy of genomic prediction by up to 30%.Heredity advance online publication, 3 April 2013; doi:10.1038/hdy.2013.13. [less ▲] Detailed reference viewed: 11 (1 ULg) A missense mutation in the ClC-7 chloride channel causes hamartomas with osteopetrosis in cattle.Sartelet, Arnaud ; ; Coppieters, Wouter et alConference (2012, October 19) Detailed reference viewed: 31 (11 ULg) Development of a method for haplotype-based association analysis of binary traits in structured populationsGuillaume, François ; ; Sartelet, Arnaud et alPoster (2012, June 20) Detailed reference viewed: 23 (5 ULg) A missense mutation in the ClC-7 chloride channel causes hamartomas with osteopetrosis in cattle.Sartelet, Arnaud ; ; Druet, Tom et alConference (2012, June 05) Detailed reference viewed: 17 (2 ULg) Ancestral haplotype-based association mapping with generalized linear mixed models accounting for stratification; ; Sartelet, Arnaud et alin Bioinformatics (2012) Detailed reference viewed: 15 (7 ULg) A splice site variant in the bovine RNF11 gene compromises growth and regulation of the inflammatory response.Sartelet, Arnaud ; Druet, Tom ; Michaux, Charles et alin PLoS Genetics (2012), 15(3), 1002581 We herein report association mapping of a locus on bovine chromosome 3 that underlies a Mendelian form of stunted growth in Belgian Blue Cattle. By resequencing positional candidates, we identify the ... [more ▼] We herein report association mapping of a locus on bovine chromosome 3 that underlies a Mendelian form of stunted growth in Belgian Blue Cattle. By resequencing positional candidates, we identify the causative c124-2A>G splice variant in intron 1 of the RNF11 gene, for which all affected animals are homozygous. We make the remarkable observation that 26% of healthy Belgian Blue animals carry the corresponding variant. We demonstrate in a prospective study design that approximately one third of homozygous mutants die prematurely with major inflammatory lesions, hence explaining the rarity of growth-stunted animals despite the high frequency of carriers. We provide preliminary evidence that heterozygous advantage for an as of yet unidentified phenotype may have caused a selective sweep accounting for the high frequency of the RNF11 c124-2A>G mutation in Belgian Blue Cattle. [less ▲] Detailed reference viewed: 38 (24 ULg) Serial translocation by means of circular intermediates underlies colour sidedness in cattle.Durkin, Keith ; Coppieters, Wouter ; et alin Nature (2012), 482(7383), 81-4 Colour sidedness is a dominantly inherited phenotype of cattle characterized by the polarization of pigmented sectors on the flanks, snout and ear tips. It is also referred to as 'lineback' or 'witrik ... [more ▼] Colour sidedness is a dominantly inherited phenotype of cattle characterized by the polarization of pigmented sectors on the flanks, snout and ear tips. It is also referred to as 'lineback' or 'witrik' (which means white back), as colour-sided animals typically display a white band along their spine. Colour sidedness is documented at least since the Middle Ages and is presently segregating in several cattle breeds around the globe, including in Belgian blue and brown Swiss. Here we report that colour sidedness is determined by a first allele on chromosome 29 (Cs(29)), which results from the translocation of a 492-kilobase chromosome 6 segment encompassing KIT to chromosome 29, and a second allele on chromosome 6 (Cs(6)), derived from the first by repatriation of fused 575-kilobase chromosome 6 and 29 sequences to the KIT locus. We provide evidence that both translocation events involved circular intermediates. This is the first example, to our knowledge, of a phenotype determined by homologous yet non-syntenic alleles that result from a novel copy-number-variant-generating mechanism. [less ▲] Detailed reference viewed: 77 (50 ULg) Estimating age of admixture in a cattle population based on SNP chip data; Druet, Tom ; et alin Acta Agriculturae Slovenica (2012), 100(SUPPL.3), 115-119 The aim of this study was to predict individual age of admixture in the crossbred Swiss Fleckvieh population. We checked how well the method is dealing with recent admixture with high throughput single ... [more ▼] The aim of this study was to predict individual age of admixture in the crossbred Swiss Fleckvieh population. We checked how well the method is dealing with recent admixture with high throughput single nucleotide polymorphism data from the bovine 50K SNP Chip. A total of 101 Red Holstein, 91 Simmental, and 308 crossed animals were available for analysis. Age of admixture was derived from the complete pedigree and molecular markers. The method applied (using SABER software) based on Markov-hidden Markov model was able to derive age of admixture similar to estimates of pedigree data, however the values were often overestimated. Of 21 investigated cases, results from SNP data reflected paternal and maternal age of admixture well for 9 cases but provided results out of range for the other 12 cases. Alternative methods based on breed-specific haplotype blocks need to be evaluated in the future. [less ▲] Detailed reference viewed: 6 (0 ULg) LDSO: A program to simulate pedigrees and molecular information under various evolutionary forces; ; et al in Journal of Animal Breeding & Genetics (2012), 129(5), 417-421 Simulations are a major tool to evaluate new statistical methods and optimize experimental designs in the genomic era. However, this can only be achieved when the simulations are close enough to reality ... [more ▼] Simulations are a major tool to evaluate new statistical methods and optimize experimental designs in the genomic era. However, this can only be achieved when the simulations are close enough to reality, as well as diverse enough to be realistic. For mapping studies, it is thus critical to re-create as much as possible the forces generating linkage (mutation, random drift, changes in population sizes, selection and pedigree structure) and the mechanisms producing trait genetic architecture (additivity, dominance, epistasis). We present here a computer program (ldso) simulating these phenomena. Optional outputs provide statistics on the linkage disequilibrium (LD) structure and the identity by descent between chromosomal segments, facilitating further data analyses. Furthermore, ldso enables the simulation of genomic data in known pedigrees, which sticks as precisely as possible to recent population history and structures of the long-range LD, allowing optimization of fine-mapping strategies. © 2012 Blackwell Verlag GmbH. [less ▲] Detailed reference viewed: 5 (0 ULg) Genetic variants in REC8, RNF212, and PRDM9 influence male recombination in cattle.Sandor, Cynthia ; Li, Wanbo ; Coppieters, Wouter et alin PLoS Genetics (2012), 8(7), 1002854 We use >250,000 cross-over events identified in >10,000 bovine sperm cells to perform an extensive characterization of meiotic recombination in male cattle. We map Quantitative Trait Loci (QTL ... [more ▼] We use >250,000 cross-over events identified in >10,000 bovine sperm cells to perform an extensive characterization of meiotic recombination in male cattle. We map Quantitative Trait Loci (QTL) influencing genome-wide recombination rate, genome-wide hotspot usage, and locus-specific recombination rate. We fine-map three QTL and present strong evidence that genetic variants in REC8 and RNF212 influence genome-wide recombination rate, while genetic variants in PRDM9 influence genome-wide hotspot usage. [less ▲] Detailed reference viewed: 11 (4 ULg) Genomic selection in French dairy cattle; Guillaume, François ; et alin Animal Production Science (2012), 52(12), 115-120 Detailed reference viewed: 6 (2 ULg) Impact of sequencing design on missing marker imputation and genomic selection in cattleDruet, Tom ; ; Poster (2012) Detailed reference viewed: 3 (0 ULg) Use of ancestral haplotypes in Genome Wide Association StudiesDruet, Tom ; Farnir, Frédéric ![]() in Gondro, Cedric; van der Werf, Julius; Hayes, Ben (Eds.) Genome-Wide Association Studies (2012) Detailed reference viewed: 6 (1 ULg) Imputation of genotypes with low-density chips and its effect on reliability of direct genomic values in Dutch Holstein cattle.; ; Druet, Tom et alin Journal of Dairy Science (2012), 95(2), 876-89 Genomic selection using 50,000 single nucleotide polymorphism (50k SNP) chips has been implemented in many dairy cattle breeding programs. Cheap, low-density chips make genotyping of a larger number of ... [more ▼] Genomic selection using 50,000 single nucleotide polymorphism (50k SNP) chips has been implemented in many dairy cattle breeding programs. Cheap, low-density chips make genotyping of a larger number of animals cost effective. A commonly proposed strategy is to impute low-density genotypes up to 50,000 genotypes before predicting direct genomic values (DGV). The objectives of this study were to investigate the accuracy of imputation for animals genotyped with a low-density chip and to investigate the effect of imputation on reliability of DGV. Low-density chips contained 384, 3,000, or 6,000 SNP. The SNP were selected based either on the highest minor allele frequency in a bin or the middle SNP in a bin, and DAGPHASE, CHROMIBD, and multivariate BLUP were used for imputation. Genotypes of 9,378 animals were used, from which approximately 2,350 animals had deregressed proofs. Bayesian stochastic search variable selection was used for estimating SNP effects of the 50k chip. Imputation accuracies and imputation error rates were poor for low-density chips with 384 SNP. Imputation accuracies were higher with 3,000 and 6,000 SNP. Performance of DAGPHASE and CHROMIBD was very similar and much better than that of multivariate BLUP for both imputation accuracy and reliability of DGV. With 3,000 SNP and using CHROMIBD or DAGPHASE for imputation, 84 to 90% of the increase in DGV reliability using the 50k chip, compared with a pedigree index, was obtained. With multivariate BLUP, the increase in reliability was only 40%. With 384 SNP, the reliability of DGV was lower than for a pedigree index, whereas with 6,000 SNP, about 93% of the increase in reliability of DGV based on the 50k chip was obtained when using DAGPHASE for imputation. Using genotype probabilities to predict gene content increased imputation accuracy and the reliability of DGV and is therefore recommended for applications of imputation for genomic prediction. A deterministic equation was derived to predict accuracy of DGV based on imputation accuracy, which fitted closely with the observed relationship. The deterministic equation can be used to evaluate the effect of differences in imputation accuracy on accuracy and reliability of DGV. [less ▲] Detailed reference viewed: 23 (3 ULg) A splice site mutation in the bovine RNF11 gene is responsible of growth retardation and increased susceptibility to inflammatory diseases.Sartelet, Arnaud ; Druet, Tom ; Michaux, Charles et alConference (2011, December 09) Detailed reference viewed: 19 (2 ULg) A splice site mutation in the bovine RNF11 gene is responsible of growth retardation and increased susceptibility to inflammatory diseases.Sartelet, Arnaud ; Druet, Tom ; et alPoster (2011, October 10) Detailed reference viewed: 19 (5 ULg) Genomic breeding value estimation using genetic markers, inferredancestral haplotypes, and the genomic relationship matrix; ; Druet, Tom ![]() in Journal of Dairy Science (2011), 94(9), 4708-4714 Detailed reference viewed: 13 (5 ULg) Variants modulating the expression of a chromosome domain encompassing PLAG1 influence bovine stature.Karim, Latifa ; Takeda, Haruko ; et alin Nature Genetics (2011), 43(5), 405-13 We report mapping of a quantitative trait locus (QTL) with a major effect on bovine stature to a approximately 780-kb interval using a Hidden Markov Model-based approach that simultaneously exploits ... [more ▼] We report mapping of a quantitative trait locus (QTL) with a major effect on bovine stature to a approximately 780-kb interval using a Hidden Markov Model-based approach that simultaneously exploits linkage and linkage disequilibrium. We re-sequenced the interval in six sires with known QTL genotype and identified 13 clustered candidate quantitative trait nucleotides (QTNs) out of >9,572 discovered variants. We eliminated five candidate QTNs by studying the phenotypic effect of a recombinant haplotype identified in a breed diversity panel. We show that the QTL influences fetal expression of seven of the nine genes mapping to the approximately 780-kb interval. We further show that two of the eight candidate QTNs, mapping to the PLAG1-CHCHD7 intergenic region, influence bidirectional promoter strength and affect binding of nuclear factors. By performing expression QTL analyses, we identified a splice site variant in CHCHD7 and exploited this naturally occurring null allele to exclude CHCHD7 as single causative gene. [less ▲] Detailed reference viewed: 56 (21 ULg) A common reference population from four European Holstein populations increases reliability of genomic predictions.; ; et al in Genetics, Selection, Evolution [=GSE] (2011), 43(1), 43 ABSTRACT: BACKGROUND: Size of the reference population and reliability of phenotypes are crucial factors influencing the reliability of genomic predictions. It is therefore useful to combine closely ... [more ▼] ABSTRACT: BACKGROUND: Size of the reference population and reliability of phenotypes are crucial factors influencing the reliability of genomic predictions. It is therefore useful to combine closely related populations. Increased accuracies of genomic predictions depend on the number of individuals added to the reference population, the reliability of their phenotypes, and the relatedness of the populations that are combined. METHODS: This paper assesses the increase in reliability achieved when combining four Holstein reference populations of 4000 bulls each, from European breeding organizations, i.e. UNCEIA (France), VikingGenetics (Denmark, Sweden, Finland), DHV-VIT (Germany) and CRV (The Netherlands, Flanders). Each partner validated its own bulls using their national reference data and the combined data, respectively. RESULTS: Combining the data significantly increased the reliability of genomic predictions for bulls in all four populations. Reliabilities increased by 10%, compared to reliabilities obtained with national reference populations alone, when they were averaged over countries and the traits evaluated. For different traits and countries, the increase in reliability ranged from 2% to 19%. CONCLUSIONS: Genomic selection programs benefit greatly from combining data from several closely related populations into a single large reference population. [less ▲] Detailed reference viewed: 7 (3 ULg) |
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