Fecha/hora: 16/06/2024 10:13:19

Biblioteca(s): | INIA Las Brujas.
Fecha corriente: | 31/03/2021
Fecha de la última actualización: | 31/03/2021
Autoria: | MISZTAL, I.; WANG, H.; AGUILAR, I.; LEGARRA, A.; TSURUTA, S.; LOURENCO, D.; FRAGOMENI, B. O.; ZHANG, X.; MUIR, W. M.; CHENG, H. H.; OKIMOTO, R.; WING, T.; HAWKEN, R. R.; ZUMBACH, B.; FERNANDO, R.
Afiliación: | IGNACY MISZTAL, University of Georgia, Athens, GA, USA; H. WANG, Genus PIC, Hendersonville, TN; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRÉS LEGARRA, INRA, Toulouse, France; S. TSURUTA, University of Georgia, Athens, GA, USA; D.A.L. LOURENCO, University of Georgia, Athens, GA, USA; B. O. FRAGOMENI, University of Georgia, Athens, GA, USA; X. ZHANG, University of Georgia, Athens, GA, USA; W. M. MUIR, Purdue University, West Lafayette, IN, USA; H. H. CHENG, Cobb-Vantress Inc., Siloam Springs, AR, USA; R. OKIMOTO, Cobb-Vantress Inc., Siloam Springs, AR, USA; T. WING, Cobb-Vantress Inc., Siloam Springs, AR, USA; R. R. HAWKEN, Cobb-Vantress Inc., Siloam Springs, AR, USA; B. ZUMBACH, Cobb-Vantress Inc., Siloam Springs, AR, USA; R. FERNANDO, Department of Animal Science, Iowa State University, Ames, IA, USA.
Título: | GWAS using ssGBLUP.
Complemento del título: | Volume Species Breeding: Poultry, 325.
Año de publicación: | 2014
Fuente/Imprenta: | In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.325.
Idioma: | Inglés

Contenido:

ABSTRACT.
This study aimed to compare results of genome-wide associations obtained from various methodologies for GWAS when applied to two lines of broiler chicken. Each line contained >250k birds with 3 traits and 5k SNP60k genotypes. Methods included single-step GWAS, single marker model and BayesB. Mannhattan plots were based on variances of 20-SNP segments, as shorter segments produced noisy plots. Only a few segments explained >1 % of the additive variance. One segment explained >20% variance in BayesB but 3% with ssGWAS and <1% with a single marker model. In two lines, no major segment overlapped for any trait. When analyses used slices of generations (1-3,2-4,3-5,1-5), variances for the same segment varied greatly.  The plots were more distinct with a new data set that included >16k genotypes, but no segment explained >1% of the variance.  Strength of associations strongly depends on methodologies and details of implementations.

Palabras-Clave: | GWAS; SNP variance; SsGBLUP.
Categoría del tema: | L10 Genética y mejoramiento animal
URL: | http://www.ainfo.inia.uy/digital/bitstream/item/15454/1/Misztal-et-al.-2014.WCGALP.pdf
Registro original: | INIA Las Brujas (LB)
Ejemplares: | LB - (102609-1) - PXI - PC - DD - WCGALP/10/2014 -  -  - DIS