The Experts below are selected from a list of 201 Experts worldwide ranked by ideXlab platform
G H Cardinet - One of the best experts on this subject based on the ideXlab platform.
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myophosphorylase deficiency associated with rhabdomyolysis and exercise intolerance in 6 related Charolais Cattle
Muscle & Nerve, 1995Co-Authors: S Angelos, Stephanie J Valberg, Bradford Smith, P S Mcquarrie, Sara Shanske, S Tsujino, Salvatore Dimauro, G H CardinetAbstract:A Charolais calf presented to the Veterinary Medical Teaching Hospital with a history of recumbency following forced exercise. The calf was unable to stand, and had severe rhabdomyolysis, dehydration, and electrolyte imbalance. Blood selenium concentrations were within normal limits. A complete absence of histochemical staining for phosphorylase was apparent in muscle biopsies. Five other animals in the herd also had exercise intolerance and had a complete absence of phosphorylase staining in muscle biopsies. Biochemical analyses confirmed a deficiency of myophosphorylase (range 0-0.3 μmol/g per minute : normals 15-27) with normal to slightly elevated muscle glycogen concentrations. Pedigrees from all affected animals showed a common ancestor on the sire's and dam's side of each phosphorylase-deficient animal, suggesting an autosomal recessive transmission. Although myophosphorylase deficiency was described in humans (McArdle's disease) over 40 years ago, these Cattle represent the first animal model for this disease. © 1995 John Wiley & Sons, Inc.
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myophosphorylase deficiency associated with rhabdomyolysis and exercise intolerance in 6 related Charolais Cattle
Muscle & Nerve, 1995Co-Authors: S Angelos, Stephanie J Valberg, Bradford Smith, P S Mcquarrie, Sara Shanske, S Tsujino, Salvatore Dimauro, G H CardinetAbstract:A Charolais calf presented to the Veterinary Medical Teaching Hospital with a history of recumbency following forced exercise. The calf was unable to stand, and had severe rhabdomyolysis, dehydration, and electrolyte imbalance. Blood selenium concentrations were within normal limits. A complete absence of histochemical staining for phosphorylase was apparent in muscle biopsies. Five other animals in the herd also had exercise intolerance and had a complete absence of phosphorylase staining in muscle biopsies. Biochemical analyses confirmed a deficiency of myophosphorylase (range 0-0.3 mumol/g per minute: normals 15-27) with normal to slightly elevated muscle glycogen concentrations. Pedigrees from all affected animals showed a common ancestor on the sire's and dam's side of each phosphorylase-deficient animal, suggesting an autosomal recessive transmission. Although myophosphorylase deficiency was described in humans (McArdle's disease) over 40 years ago, these Cattle represent the first animal model for this disease.
L A Lopezbustamante - One of the best experts on this subject based on the ideXlab platform.
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accuracies of direct genomic breeding values for birth and weaning weights of registered Charolais Cattle in mexico
Animal Production Science, 2020Co-Authors: Gaspar Manuel Parrabracamonte, Ana Maria Sifuentesrincon, Francisco Joel Jahueymartinez, D J Garrick, N Lopezvillalobos, Juan Carlos Martinezgonzalez, L A LopezbustamanteAbstract:Context Genomic prediction is now routinely used in many livestock species to rank individuals based on genomic breeding values (GEBV). Aims This study reports the first assessment aimed to evaluate the accuracy of direct GEBV for birth (BW) and weaning (WW) weights of registered Charolais Cattle in Mexico. Methods The population assessed included 823 animals genotyped with an array of 77 000 single nucleotide polymorphisms. Genomic prediction used genomic best linear unbiased prediction (GBLUP), Bayes C (BC), and single-step Bayesian regression (SSBR) methods in comparison with a pedigree-based BLUP method. Key results Our results show that the genomic prediction methods provided low and similar accuracies to BLUP. The prediction accuracy of GBLUP and BC were identical at 0.31 for BW and 0.29 for WW, similar to BLUP. Prediction accuracies of SSBR for BW and WW were up to 4% higher than those by BLUP. Conclusions Genomic prediction is feasible under current conditions, and provides a slight improvement using SSBR. Implications Some limitations on reference population size and structure were identified and need to be addressed to obtain more accurate predictions in liveweight traits under the prevalent Cattle breeding conditions of Mexico.
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genetic variances and covariances of live weight traits in Charolais Cattle by multi trait analysis
Journal of Applied Genetics, 2019Co-Authors: J B Herreraojeda, Gaspar Manuel Parrabracamonte, N Lopezvillalobos, Juan Carlos Martinezgonzalez, Juan Gabriel Maganamonforte, S T Morris, L A LopezbustamanteAbstract:Live weight traits are economically important for beef Cattle production systems. Genetic analysis of live weight traits frequently presents a problem due to animal records, in that matter, not all the animals have complete records as many young animals leave the herd because of sale, transfer to another herd, or culling reasons. Therefore, the use of multi-trait genetic analysis might be of assistance to help overcome any possible loss of information for those animals with incomplete records. In this study, genetic variances and covariances were obtained to estimate genetic parameters for birth (BW), weaning (WW), and yearling (YW) live weights in a registered Charolais beef Cattle population using a multivariate model, where a considerable reduction of data from birth weight to year weight was observed. Direct and maternal heritabilities for BW, WW, and YW were 0.50, 0.30, and 0.28, and 0.31, 0.25, and 0.14, respectively. Direct and maternal genetic correlations were negative in all live weight traits. Genetic correlations among direct BW with direct WW and YW were low, while genetic correlations among maternal traits were medium or high (r>0.39). Comparison between univariate and multi-trait models with substantial reduction of information revealed important differences, implying that multi-trait analysis is better for the structure of data allowing a better fitting of genetic effects by covariance among evaluated traits. Results support multi-trait analysis implementation for genetic evaluations for live weight traits of Charolais Cattle.
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genomewide association analysis of growth traits in Charolais beef Cattle
Journal of Animal Science, 2016Co-Authors: Francisco Joel Jahueymartinez, Gaspar Manuel Parrabracamonte, Ana Maria Sifuentesrincon, Juan Carlos Martinezgonzalez, Cedric Gondro, C A Garciaperez, L A LopezbustamanteAbstract:: The objective of this study was to perform a genomewide association study (GWAS) for growth traits in Charolais beef Cattle and to identify SNP markers and genes associated with these traits. Our study included 855 animals genotyped using 76,883 SNP from the GeneSeek Genomic Profiler Bovine HD panel. The examined phenotypic data included birth, weaning, and yearling weights as well as pre- and postweaning ADG. After quality control, 68,337 SNP and 823 animals were retained in the analysis. The association analysis was performed using the principal components method via the egscore function of the GenABEL version 1.8-0 package in the R environment. Eighteen SNP located in 13 BTA were associated with growth traits ( < 5 × 10). The most important genes in these genomic regions were (), (), (), (), and ( [angiotensinase C]), due to their relationships with perinatal and postnatal survival, bone growth, cell adhesion, regulation of adipogenesis, and appetite. In conclusion, this study is the first to describe a GWAS conducted in beef Cattle in Mexico and represents a basis for further and future research. This study detected new QTL associated with growth traits and identified 5 positional and functional candidate genes that are potentially involved in variations of the analyzed traits. Future analyses of these regions could help to identify useful markers for marker-assisted selection and will contribute to the knowledge of the genetic basis of growth in Cattle and be a foundation for genomic predictions in Mexican Charolais Cattle.
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single and composite influence of growth related candidate gene polymorphisms on additive genetic variation of birth weight in Charolais beef Cattle
Tropical Animal Health and Production, 2014Co-Authors: Gaspar Manuel Parrabracamonte, Ana Maria Sifuentesrincon, N Lopezvillalobos, L A Lopezbustamante, S T Morris, Luis Alberto MezagarciaAbstract:The objective of the present experiment work was to evaluate the effect of the inclusion of genomic information on the additive genetic variance of birth weight (BW) of Charolais Cattle in Mexico. Variance components and heritability were estimated using four linear models. The first model was the base model (BM) from which single and composite effects of selected single-nucleotide polymorphism (SNP) markers were evaluated (BM1, BM2, and a composite BM3). Genetic markers were included in a regression model and analyzed by stepwise regression against adjusted BW from a panel of growth-related traits candidate gene markers. After two regression rounds, two SNPs (R 2 > 0.02) were chosen to include into the animal models as fixed effects. Growth hormone receptor gene GHR 4.2 and GHR 6.1 SNPs were selected from a panel of 39 SNPs. GHR 4.2 had a negligible effect on BW, whilst GHR6.1, interestingly, explained ∼9 % of genetic variance (p = 0.0877) with an αG>A = 0.509. The inclusion of markers in M2 and M3 reduced 19 and 15 % of the additive genetic variance, respectively. Both adjusted significantly better the linear model (LRT = p < 0.01). Results obtained suggest that the previous selection of markers in a candidate gene approach and subsequent inclusion of selected SNPs into animal model might provide a better fit, avoiding the overestimation of genetic variance components and breeding values for BW.
Francisco Joel Jahueymartinez - One of the best experts on this subject based on the ideXlab platform.
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accuracies of direct genomic breeding values for birth and weaning weights of registered Charolais Cattle in mexico
Animal Production Science, 2020Co-Authors: Gaspar Manuel Parrabracamonte, Ana Maria Sifuentesrincon, Francisco Joel Jahueymartinez, D J Garrick, N Lopezvillalobos, Juan Carlos Martinezgonzalez, L A LopezbustamanteAbstract:Context Genomic prediction is now routinely used in many livestock species to rank individuals based on genomic breeding values (GEBV). Aims This study reports the first assessment aimed to evaluate the accuracy of direct GEBV for birth (BW) and weaning (WW) weights of registered Charolais Cattle in Mexico. Methods The population assessed included 823 animals genotyped with an array of 77 000 single nucleotide polymorphisms. Genomic prediction used genomic best linear unbiased prediction (GBLUP), Bayes C (BC), and single-step Bayesian regression (SSBR) methods in comparison with a pedigree-based BLUP method. Key results Our results show that the genomic prediction methods provided low and similar accuracies to BLUP. The prediction accuracy of GBLUP and BC were identical at 0.31 for BW and 0.29 for WW, similar to BLUP. Prediction accuracies of SSBR for BW and WW were up to 4% higher than those by BLUP. Conclusions Genomic prediction is feasible under current conditions, and provides a slight improvement using SSBR. Implications Some limitations on reference population size and structure were identified and need to be addressed to obtain more accurate predictions in liveweight traits under the prevalent Cattle breeding conditions of Mexico.
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signatures of selection in Charolais beef Cattle identified by genome wide analysis
Journal of Animal Breeding and Genetics, 2019Co-Authors: Francisco Joel Jahueymartinez, Gaspar Manuel Parrabracamonte, Ana Maria Sifuentesrincon, Victor Ricardo MorenomedinaAbstract:Charolais Cattle are one of the most important breeds for meat production worldwide; in Mexico, its selection is mainly made by live weight traits. One strategy for mapping important genomic regions that might influence productive traits is the identification of signatures of selection. This type of genomic features contains loci with extended linkage disequilibrium (LD) and homozygosity patterns that are commonly associated with sites of quantitative trait locus (QTL). Therefore, the objective of this study was to identify the signatures of selection in Charolais Cattle genotyped with the GeneSeek Genomic Profiler Bovine HD panel consisting of 77 K single nucleotide polymorphisms (SNPs). A total 61,311 SNPs and 819 samples were used for the analysis. Identification of signatures of selection was carried out using the integrated haplotype score (iHS) methodology implemented in the rehh R package. The top ten SNPs with the highest piHS values were located on BTA 4, 5, 6 and 14. By identifying markers in LD with top ten SNPs, the candidate regions defined were mapped to 52.8-59.3 Mb on BTA 4; 67.5-69.3 on BTA 5; 39.5-41.0 Mb on BTA 6; and 26.4-29.6 Mb on BTA 14. The comparison of these candidate regions with the bovine QTLdb effectively confirmed the association (p < 0.05) with QTL related to growth traits and other important productive traits. The genomic regions identified in this study indicated selection for growth traits on the Charolais population via the conservation of haplotypes on various chromosomes. These genomic regions and their associated genes could serve as the basis for haplotype association studies and for the identification of causal genes related to growth traits.
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genomewide association analysis of growth traits in Charolais beef Cattle
Journal of Animal Science, 2016Co-Authors: Francisco Joel Jahueymartinez, Gaspar Manuel Parrabracamonte, Ana Maria Sifuentesrincon, Juan Carlos Martinezgonzalez, Cedric Gondro, C A Garciaperez, L A LopezbustamanteAbstract:: The objective of this study was to perform a genomewide association study (GWAS) for growth traits in Charolais beef Cattle and to identify SNP markers and genes associated with these traits. Our study included 855 animals genotyped using 76,883 SNP from the GeneSeek Genomic Profiler Bovine HD panel. The examined phenotypic data included birth, weaning, and yearling weights as well as pre- and postweaning ADG. After quality control, 68,337 SNP and 823 animals were retained in the analysis. The association analysis was performed using the principal components method via the egscore function of the GenABEL version 1.8-0 package in the R environment. Eighteen SNP located in 13 BTA were associated with growth traits ( < 5 × 10). The most important genes in these genomic regions were (), (), (), (), and ( [angiotensinase C]), due to their relationships with perinatal and postnatal survival, bone growth, cell adhesion, regulation of adipogenesis, and appetite. In conclusion, this study is the first to describe a GWAS conducted in beef Cattle in Mexico and represents a basis for further and future research. This study detected new QTL associated with growth traits and identified 5 positional and functional candidate genes that are potentially involved in variations of the analyzed traits. Future analyses of these regions could help to identify useful markers for marker-assisted selection and will contribute to the knowledge of the genetic basis of growth in Cattle and be a foundation for genomic predictions in Mexican Charolais Cattle.
S Angelos - One of the best experts on this subject based on the ideXlab platform.
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myophosphorylase deficiency associated with rhabdomyolysis and exercise intolerance in 6 related Charolais Cattle
Muscle & Nerve, 1995Co-Authors: S Angelos, Stephanie J Valberg, Bradford Smith, P S Mcquarrie, Sara Shanske, S Tsujino, Salvatore Dimauro, G H CardinetAbstract:A Charolais calf presented to the Veterinary Medical Teaching Hospital with a history of recumbency following forced exercise. The calf was unable to stand, and had severe rhabdomyolysis, dehydration, and electrolyte imbalance. Blood selenium concentrations were within normal limits. A complete absence of histochemical staining for phosphorylase was apparent in muscle biopsies. Five other animals in the herd also had exercise intolerance and had a complete absence of phosphorylase staining in muscle biopsies. Biochemical analyses confirmed a deficiency of myophosphorylase (range 0-0.3 μmol/g per minute : normals 15-27) with normal to slightly elevated muscle glycogen concentrations. Pedigrees from all affected animals showed a common ancestor on the sire's and dam's side of each phosphorylase-deficient animal, suggesting an autosomal recessive transmission. Although myophosphorylase deficiency was described in humans (McArdle's disease) over 40 years ago, these Cattle represent the first animal model for this disease. © 1995 John Wiley & Sons, Inc.
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myophosphorylase deficiency associated with rhabdomyolysis and exercise intolerance in 6 related Charolais Cattle
Muscle & Nerve, 1995Co-Authors: S Angelos, Stephanie J Valberg, Bradford Smith, P S Mcquarrie, Sara Shanske, S Tsujino, Salvatore Dimauro, G H CardinetAbstract:A Charolais calf presented to the Veterinary Medical Teaching Hospital with a history of recumbency following forced exercise. The calf was unable to stand, and had severe rhabdomyolysis, dehydration, and electrolyte imbalance. Blood selenium concentrations were within normal limits. A complete absence of histochemical staining for phosphorylase was apparent in muscle biopsies. Five other animals in the herd also had exercise intolerance and had a complete absence of phosphorylase staining in muscle biopsies. Biochemical analyses confirmed a deficiency of myophosphorylase (range 0-0.3 mumol/g per minute: normals 15-27) with normal to slightly elevated muscle glycogen concentrations. Pedigrees from all affected animals showed a common ancestor on the sire's and dam's side of each phosphorylase-deficient animal, suggesting an autosomal recessive transmission. Although myophosphorylase deficiency was described in humans (McArdle's disease) over 40 years ago, these Cattle represent the first animal model for this disease.
Gaspar Manuel Parrabracamonte - One of the best experts on this subject based on the ideXlab platform.
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accuracies of direct genomic breeding values for birth and weaning weights of registered Charolais Cattle in mexico
Animal Production Science, 2020Co-Authors: Gaspar Manuel Parrabracamonte, Ana Maria Sifuentesrincon, Francisco Joel Jahueymartinez, D J Garrick, N Lopezvillalobos, Juan Carlos Martinezgonzalez, L A LopezbustamanteAbstract:Context Genomic prediction is now routinely used in many livestock species to rank individuals based on genomic breeding values (GEBV). Aims This study reports the first assessment aimed to evaluate the accuracy of direct GEBV for birth (BW) and weaning (WW) weights of registered Charolais Cattle in Mexico. Methods The population assessed included 823 animals genotyped with an array of 77 000 single nucleotide polymorphisms. Genomic prediction used genomic best linear unbiased prediction (GBLUP), Bayes C (BC), and single-step Bayesian regression (SSBR) methods in comparison with a pedigree-based BLUP method. Key results Our results show that the genomic prediction methods provided low and similar accuracies to BLUP. The prediction accuracy of GBLUP and BC were identical at 0.31 for BW and 0.29 for WW, similar to BLUP. Prediction accuracies of SSBR for BW and WW were up to 4% higher than those by BLUP. Conclusions Genomic prediction is feasible under current conditions, and provides a slight improvement using SSBR. Implications Some limitations on reference population size and structure were identified and need to be addressed to obtain more accurate predictions in liveweight traits under the prevalent Cattle breeding conditions of Mexico.
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signatures of selection in Charolais beef Cattle identified by genome wide analysis
Journal of Animal Breeding and Genetics, 2019Co-Authors: Francisco Joel Jahueymartinez, Gaspar Manuel Parrabracamonte, Ana Maria Sifuentesrincon, Victor Ricardo MorenomedinaAbstract:Charolais Cattle are one of the most important breeds for meat production worldwide; in Mexico, its selection is mainly made by live weight traits. One strategy for mapping important genomic regions that might influence productive traits is the identification of signatures of selection. This type of genomic features contains loci with extended linkage disequilibrium (LD) and homozygosity patterns that are commonly associated with sites of quantitative trait locus (QTL). Therefore, the objective of this study was to identify the signatures of selection in Charolais Cattle genotyped with the GeneSeek Genomic Profiler Bovine HD panel consisting of 77 K single nucleotide polymorphisms (SNPs). A total 61,311 SNPs and 819 samples were used for the analysis. Identification of signatures of selection was carried out using the integrated haplotype score (iHS) methodology implemented in the rehh R package. The top ten SNPs with the highest piHS values were located on BTA 4, 5, 6 and 14. By identifying markers in LD with top ten SNPs, the candidate regions defined were mapped to 52.8-59.3 Mb on BTA 4; 67.5-69.3 on BTA 5; 39.5-41.0 Mb on BTA 6; and 26.4-29.6 Mb on BTA 14. The comparison of these candidate regions with the bovine QTLdb effectively confirmed the association (p < 0.05) with QTL related to growth traits and other important productive traits. The genomic regions identified in this study indicated selection for growth traits on the Charolais population via the conservation of haplotypes on various chromosomes. These genomic regions and their associated genes could serve as the basis for haplotype association studies and for the identification of causal genes related to growth traits.
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genetic variances and covariances of live weight traits in Charolais Cattle by multi trait analysis
Journal of Applied Genetics, 2019Co-Authors: J B Herreraojeda, Gaspar Manuel Parrabracamonte, N Lopezvillalobos, Juan Carlos Martinezgonzalez, Juan Gabriel Maganamonforte, S T Morris, L A LopezbustamanteAbstract:Live weight traits are economically important for beef Cattle production systems. Genetic analysis of live weight traits frequently presents a problem due to animal records, in that matter, not all the animals have complete records as many young animals leave the herd because of sale, transfer to another herd, or culling reasons. Therefore, the use of multi-trait genetic analysis might be of assistance to help overcome any possible loss of information for those animals with incomplete records. In this study, genetic variances and covariances were obtained to estimate genetic parameters for birth (BW), weaning (WW), and yearling (YW) live weights in a registered Charolais beef Cattle population using a multivariate model, where a considerable reduction of data from birth weight to year weight was observed. Direct and maternal heritabilities for BW, WW, and YW were 0.50, 0.30, and 0.28, and 0.31, 0.25, and 0.14, respectively. Direct and maternal genetic correlations were negative in all live weight traits. Genetic correlations among direct BW with direct WW and YW were low, while genetic correlations among maternal traits were medium or high (r>0.39). Comparison between univariate and multi-trait models with substantial reduction of information revealed important differences, implying that multi-trait analysis is better for the structure of data allowing a better fitting of genetic effects by covariance among evaluated traits. Results support multi-trait analysis implementation for genetic evaluations for live weight traits of Charolais Cattle.
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association of snps in dopamine and serotonin pathway genes and their interacting genes with temperament traits in Charolais cows
Journal of Applied Genetics, 2017Co-Authors: Estela Garzabrenner, F A Paredessanchez, Arellano W Vera, Rodriguez F Almeida, Gaspar Manuel Parrabracamonte, Ana Maria Sifuentesrincon, Ronald D. Randel, Segura A CabreraAbstract:Cattle temperament is a complex trait, and molecular studies aimed at defining this trait are scarce. We used an interaction networks approach to identify new genes (interacting genes) and to estimate their effects and those of 19 dopamine- and serotonin-related genes on the temperament traits of Charolais Cattle. The genes proopiomelanocortin (POMC), neuropeptide Y (NPY), solute carrier family 18, member 2 (SLC18A2) and FBJ murine osteosarcoma viral oncogene homologue (FOSFBJ) were identified as new candidates. Their potential to be associated with temperament was estimated according to their reported biological activities, which included interactions with neural activity, receptor function, targeting or synthesis of neurotransmitters and association with behaviour. Pen score (PS) and exit velocity (EV) measures were determined from 412 Charolais cows to calculate their temperament score (TS). Based on the TS, calm (n = 55; TS, 1.09 ± 0.33) and temperamental (n = 58; TS, 2.27 ± 0.639) cows were selected and genotyped using a 248 single-nucleotide variation (SNV) panel. Of the 248 variations in the panel, only 151 were confirmed to be polymorphic (single-nucleotide polymorphisms; SNPs) in the tested population. Single-marker association analyses between genotypes and temperament measures (EV, PS and/or TS) indicated significant associations of six SNPs from four candidate genes. The markers rs109576799 and rs43696138, located in the DRD3 and HTR2A genes, respectively, were significantly associated with both EV and TS traits. Four markers, rs110365063 and rs137756569 from the POMC gene and rs110365063 and rs135155082 located in SLC18A2 and DRD2, respectively, were associated with PS. The variant rs110365063 located in bovine SLC18A2 causes a change in the amino acid sequence from Ala to Thr. Further studies are needed to confirm the association of genetic profile with Cattle temperament; however, our study represents important progress in understanding the regulation of Cattle temperament by different genes with divergent functions.
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genomewide association analysis of growth traits in Charolais beef Cattle
Journal of Animal Science, 2016Co-Authors: Francisco Joel Jahueymartinez, Gaspar Manuel Parrabracamonte, Ana Maria Sifuentesrincon, Juan Carlos Martinezgonzalez, Cedric Gondro, C A Garciaperez, L A LopezbustamanteAbstract:: The objective of this study was to perform a genomewide association study (GWAS) for growth traits in Charolais beef Cattle and to identify SNP markers and genes associated with these traits. Our study included 855 animals genotyped using 76,883 SNP from the GeneSeek Genomic Profiler Bovine HD panel. The examined phenotypic data included birth, weaning, and yearling weights as well as pre- and postweaning ADG. After quality control, 68,337 SNP and 823 animals were retained in the analysis. The association analysis was performed using the principal components method via the egscore function of the GenABEL version 1.8-0 package in the R environment. Eighteen SNP located in 13 BTA were associated with growth traits ( < 5 × 10). The most important genes in these genomic regions were (), (), (), (), and ( [angiotensinase C]), due to their relationships with perinatal and postnatal survival, bone growth, cell adhesion, regulation of adipogenesis, and appetite. In conclusion, this study is the first to describe a GWAS conducted in beef Cattle in Mexico and represents a basis for further and future research. This study detected new QTL associated with growth traits and identified 5 positional and functional candidate genes that are potentially involved in variations of the analyzed traits. Future analyses of these regions could help to identify useful markers for marker-assisted selection and will contribute to the knowledge of the genetic basis of growth in Cattle and be a foundation for genomic predictions in Mexican Charolais Cattle.