Meta - analysis of genome - wide association from genomic prediction models

Genome-wide association (GWA) studies based on GBLUP models are a common practice in animal breeding. However, effect sizes of GWA tests are small, requiring larger sample sizes to enhance power of detection of rare variants. Because of difficulties in increasing sample size in animal populations, o...

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Detalles Bibliográficos
Otros Autores: Bernal Rubio, Yeni Liliana, Gualdrón Duarte, José Luis, Bates, R. O., Ernst, C. W., Nonneman, D., Rohrer, G. A., King, A., Shackelford, S. D., Wheeler, T. L., Cantet, Rodolfo Juan Carlos, Steibel, Juan Pedro
Formato: Artículo
Lenguaje:Inglés
Materias:
GBLUP
GENOME - WIDE ASSOCIATION STUDIES
MULTIPLE POPULATIONS
Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2016bernalrubio.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Central (FAUBA) de Universidad de Buenos Aires
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245 1 |a Meta - analysis of genome - wide association from genomic prediction models 
520 |a Genome-wide association (GWA) studies based on GBLUP models are a common practice in animal breeding. However, effect sizes of GWA tests are small, requiring larger sample sizes to enhance power of detection of rare variants. Because of difficulties in increasing sample size in animal populations, one alternative is to implement a meta-analysis (MA), combining information and results from independent GWA studies. Although this methodology has been used widely in human genetics, implementation in animal breeding has been limited. Thus, we present methods to implement a MA of GWA, describing the proper approach to compute weights derived from multiple genomic evaluations based on animal-centric GBLUP models. Application to real datasets shows that MA increases power of detection of associations in comparison with population-level GWA, allowing for population structure and heterogeneity of variance components across populations to be accounted for. Another advantage of MA is that it does not require access to genotype data that is required for a joint analysis. Scripts related to the implementation of this approach, which consider the strength of association as well as the sign, are distributed and thus account for heterogeneity in association phase between QTL and SNPs. Thus, MA of GWA is an attractive alternative to summarizing results from multiple genomic studies, avoiding restrictions with genotype data sharing, definition of fixed effects and different scales of measurement of evaluated traits. 
653 |a GBLUP 
653 |a GENOME - WIDE ASSOCIATION STUDIES 
653 |a MULTIPLE POPULATIONS 
700 1 |a Bernal Rubio, Yeni Liliana  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina.  |u Michigan State University. Department of Animal Science. USA.  |9 35471 
700 1 |a Gualdrón Duarte, José Luis  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina.  |9 45707 
700 1 |a Bates, R. O.  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina.  |9 67472 
700 1 |a Ernst, C. W.  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina.  |9 67473 
700 1 |a Nonneman, D.  |u USDA/ARS, U.S. Meat Animal Research Center. USA.  |9 68573 
700 1 |a Rohrer, G. A.  |u USDA/ARS, U.S. Meat Animal Research Center. Clay Center, USA.  |9 68574 
700 1 |a King, A.  |u USDA/ARS, U.S. Meat Animal Research Center. Clay Center, USA.  |9 68596 
700 1 |a Shackelford, S. D.  |u USDA/ARS, U.S. Meat Animal Research Center. Clay Center, USA.  |9 68597 
700 1 |a Wheeler, T. L.  |u USDA/ARS, U.S. Meat Animal Research Center. Clay Center, USA.  |9 68622 
700 1 |9 12817  |a Cantet, Rodolfo Juan Carlos  |u Michigan State University. Department of Animal Science. USA.  |u CONICET - Facultad de Agronomía. Buenos Aires, Argentina 
700 1 |9 13048  |a Steibel, Juan Pedro  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina.  |u Michigan State University. Department of Fisheries and Wildlife. USA. 
773 |t Animal Genetics  |g vol.47, no.1 (2015), p.36–48, tbls., grafs. 
856 |f 2016bernalrubio  |i en reservorio  |q application/pdf  |u http://ri.agro.uba.ar/files/intranet/articulo/2016bernalrubio.pdf  |x ARTI201904 
856 |z LINK AL EDITOR  |u https://www.wiley.com 
942 |c ARTICULO 
942 |c ENLINEA 
976 |a AAG 

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