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Study of linkage Disequilibrium in Brazilian Milk Buffaloes

Tuesday, August 19, 2014
Posters (The Westin Bayshore)
Diercles F Cardoso , Fundação de Amparo à Pesquisa do Estado de São Paulo -FAPESP(Bolsista), Sao Paulo, Brazil
Rusbel R Aspilcueta Borquis , State University of São Paulo, Faculty of Agriculture and Veterinary Sciences, Jaboticabal, Brazil
Daniel J. A. Santos , State University of São Paulo, Faculty of Agriculture and Veterinary Sciences, Jaboticabal, Brazil
Naudin Hurtado-Lugo , State University of São Paulo, Faculty of Agriculture and Veterinary Sciences, Jaboticabal, Brazil
Gregorio MF de Camargo , State University of São Paulo, Faculty of Agriculture and Veterinary Sciences, Jaboticabal, Brazil
Daiane CB Scalez , State University of São Paulo, Faculty of Agriculture and Veterinary Sciences, Jaboticabal, Brazil
Lucia Galvão de Albuquerque , Universidade Estadual Paulista “Júlio de Mesquita Filho”- UNESP, Faculdade de Ciências Agrárias e Veterinárias, Jaboticabal, Brazil
Humberto Tonhati , State University of São Paulo, Faculty of Agriculture and Veterinary Sciences, Jaboticabal, Brazil
Abstract Text: The linkage disequilibrium (LD) is a non-random association among two or more loci and it is important for fine-mapping the quantitative trait loci (QTL). The aim of the present study was to evaluate the linkage disequilibrium in buffaloes in Brazil. A total of 452 buffaloes (57 sires and 395 dams) were genotyped. After the quality control, 58,585 SNPs were used in the study. Analysing the minor allele frequency (MAF), it is possible to observe that, as the MAF class increases, the frequency of the class decreases. The mean MAF obtained was 0.22. For the LD analyses, the general mean was 0.29 to r2and 0.72 to |D'|. The disequilibrium observed for the markers presented in the chip is high for small distances. These results indicate that these SNPs may be useful to calculate genomic values and identify QTL in buffalo population in Brazil. 

Keywords: Loci SNPs Frequencies chip

See more of: Posters: Statistical and Genomic Tools for Mapping QTL and Genes (Group 2)
See more of: Methods and Tools: Statistical and genomic tools for mapping QTL and genes
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