Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.provenance | CONICET | - |
| dc.creator | Bernal Rubio, Yeni Liliana | - |
| dc.creator | Gualdron Duarte, Jose Luis | - |
| dc.creator | Bates, R. O. | - |
| dc.creator | Ernst, C. W. | - |
| dc.creator | Nonneman, D. | - |
| dc.creator | Rohrer, G. A. | - |
| dc.creator | King, A. | - |
| dc.creator | Shackelford, S. D. | - |
| dc.creator | Wheeler, T. L. | - |
| dc.creator | Cantet, Rodolfo Juan Carlos | - |
| dc.creator | Steibel, J. P. | - |
| dc.date | 2017-12-11T19:09:26Z | - |
| dc.date | 2017-12-11T19:09:26Z | - |
| dc.date | 2015-11 | - |
| dc.date | 2017-06-28T15:08:22Z | - |
| dc.date.accessioned | 2019-04-29T15:30:34Z | - |
| dc.date.available | 2019-04-29T15:30:34Z | - |
| dc.date.issued | 2015-11 | - |
| dc.identifier | Bernal Rubio, Yeni Liliana; Gualdron Duarte, Jose Luis; Bates, R. O.; Ernst, C. W.; Nonneman, D.; et al.; Meta-analysis of genome-wide association from genomic prediction models; Wiley; Animal Genetics; 47; 1; 11-2015; 36-48 | - |
| dc.identifier | 0268-9146 | - |
| dc.identifier | http://hdl.handle.net/11336/30191 | - |
| dc.identifier | CONICET Digital | - |
| dc.identifier | CONICET | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/295399 | - |
| dc.description | 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. | - |
| dc.description | Fil: Bernal Rubio, Yeni Liliana. Universidad de Buenos Aires. Facultad de Agronomia. Departamento de Producción Animal; Argentina. Michigan State University; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | - |
| dc.description | Fil: Gualdron Duarte, Jose Luis. Universidad de Buenos Aires. Facultad de Agronomia. Departamento de Producción Animal; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | - |
| dc.description | Fil: Bates, R. O.. Universidad de Buenos Aires. Facultad de Agronomia. Departamento de Producción Animal; Argentina | - |
| dc.description | Fil: Ernst, C. W.. Universidad de Buenos Aires. Facultad de Agronomia. Departamento de Producción Animal; Argentina | - |
| dc.description | Fil: Nonneman, D.. United States Department of Agriculture. Agricultural Research Service; Estados Unidos | - |
| dc.description | Fil: Rohrer, G. A.. United States Department of Agriculture. Agricultural Research Service; Estados Unidos | - |
| dc.description | Fil: King, A.. United States Department of Agriculture. Agricultural Research Service; Estados Unidos | - |
| dc.description | Fil: Shackelford, S. D.. United States Department of Agriculture. Agricultural Research Service; Estados Unidos | - |
| dc.description | Fil: Wheeler, T. L.. United States Department of Agriculture. Agricultural Research Service; Estados Unidos | - |
| dc.description | Fil: Cantet, Rodolfo Juan Carlos. Michigan State University; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | - |
| dc.description | Fil: Steibel, J. P.. Universidad de Buenos Aires. Facultad de Agronomia. Departamento de Producción Animal; Argentina. Michigan State University; Estados Unidos | - |
| dc.format | application/pdf | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.publisher | Wiley | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/age.12378 | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/age.12378/abstract | - |
| dc.relation | info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738412/ | - |
| dc.rights | info:eu-repo/semantics/openAccess | - |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | - |
| dc.source | reponame:CONICET Digital (CONICET) | - |
| dc.source | instname:Consejo Nacional de Investigaciones Científicas y Técnicas | - |
| dc.source | instacron:CONICET | - |
| dc.source.uri | http://hdl.handle.net/11336/30191 | - |
| dc.subject | GBLUP | - |
| dc.subject | Genome-wide association studies | - |
| dc.subject | Multiple populations | - |
| dc.subject | Otras Producción Animal y Lechería | - |
| dc.subject | Producción Animal y Lechería | - |
| dc.subject | CIENCIAS AGRÍCOLAS | - |
| dc.title | Meta-analysis of genome-wide association from genomic prediction models | - |
| dc.type | info:eu-repo/semantics/article | - |
| dc.type | info:eu-repo/semantics/publishedVersion | - |
| dc.type | info:ar-repo/semantics/articulo | - |
| Aparece en las colecciones: | CONICET | |
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