Implementing meta - analysis from genome - wide association studies for pork quality traits
Pork quality plays an important role in the meat processing industry. Thus, different methodologies have been implemented to elucidate the genetic architecture of traits affecting meat quality. One of the most common and widely used approaches is to perform genome-wide association (GWA) studies. How...
Guardado en:
| Otros Autores: | , , , , , , , , , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | Inglés |
| Materias: | |
| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2015bernalrubio.pdf LINK AL EDITOR |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
| LEADER | 04515nab a22005177 4500 | ||
|---|---|---|---|
| 001 | 20190506095731.0 | ||
| 003 | AR-BaUFA | ||
| 005 | 20220413095955.0 | ||
| 008 | 190506t2015 xxu|||||o|||| 00| | eng d | ||
| 999 | |c 46307 |d 46307 | ||
| 999 | |d 46307 | ||
| 999 | |d 46307 | ||
| 999 | |d 46307 | ||
| 999 | |d 46307 | ||
| 999 | |d 46307 | ||
| 999 | |d 46307 | ||
| 999 | |d 46307 | ||
| 999 | |d 46307 | ||
| 022 | |a 0021-8812 | ||
| 024 | |a 10.2527/jas2015-9502 | ||
| 040 | |a AR-BaUFA |c AR-BaUFA | ||
| 245 | 1 | |a Implementing meta - analysis from genome - wide association studies for pork quality traits | |
| 520 | |a Pork quality plays an important role in the meat processing industry. Thus, different methodologies have been implemented to elucidate the genetic architecture of traits affecting meat quality. One of the most common and widely used approaches is to perform genome-wide association (GWA) studies. However, a limitation of many GWA in animal breeding is the limited power due to small sample sizes in animal populations. One alternative is to implement a metaanalysis of GWA (MA-GWA) combining results from independent association studies. The objective of this study was to identify significant genomic regions associated with meat quality traits by performing MA-GWA for 8 different traits in 3 independent pig populations. Results from MA-GWA were used to search for genes possibly associated with the set of evaluated traits. Data from 3 pig data sets (U.S. Meat Animal Research Center, commercial, and Michigan State University Pig Resource Population) were used. A MA was implemented by combining z-scores derived for each SNP in every population and then weighting them using the inverse of estimated variance of SNP effects. A search for annotated genes retrieved genes previously reported as candidates for shear force (calpain-1 catalytic subunit [CAPN1] and calpastatin [CAST]), as well as for ultimate pH, purge loss, and cook loss (protein kinase, AMP-activated, γ 3 noncatalytic subunit [PRKAG3]). In addition, novel candidate genes were identified for intramuscular fat and cook loss (acyl-CoA synthetase family member 3 mitochondrial [ACSF3]) and for the objective measure of muscle redness, CIE a* (glycogen synthase 1, muscle [GYS1] and ferritin, light polypeptide [FTL]). Thus, implementation of MA GWA allowed integration of results for economically relevant traits and identified novel genes to be tested as candidates for meat quality traits in pig populations. | ||
| 650 | |2 Agrovoc |9 26 | ||
| 653 | |a CANDIDATE GENES | ||
| 653 | |a GENOME - WIDE ASSOCIATION | ||
| 653 | |a MEAT QUALITY | ||
| 653 | |a META - ANALYSIS | ||
| 653 | |a PIGS | ||
| 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 Michigan State University. Department of Animal Science. USA. |9 67472 | |
| 700 | 1 | |a Ernst, C. W. |u Michigan State University. Department of Animal Science. USA. |9 67473 | |
| 700 | 1 | |a Nonneman, D. |u USDA/ARS. U.S. Meat Animal Research Center. Clay 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, D. A. |u USDA/ARS. U.S. Meat Animal Research Center. Clay Center, USA. |9 68603 | |
| 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 | |a Cantet, Rodolfo Juan Carlos |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina. |u CONICET. Buenos Aires, Argentina. |9 12817 | |
| 700 | 1 | |a Steibel, Juan Pedro |u Michigan State University. Department of Animal Science. USA. |u Michigan State University. Department of Fisheries and Wildlife. East Lansing. USA. |9 13048 | |
| 773 | 0 | |t Journal of animal science |w (AR-BaUFA)SECS000110 |g vol.93 (2015), p.5607–5617, tbls., grafs. | |
| 856 | |f 2015bernalrubio |i en reservorio |q application/pdf |u http://ri.agro.uba.ar/files/intranet/articulo/2015bernalrubio.pdf |x ARTI201904 | ||
| 856 | |z LINK AL EDITOR |u https://www.asas.org | ||
| 942 | |c ARTICULO | ||
| 942 | |c ENLINEA | ||
| 976 | |a AAG | ||