affymetrix array
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2021 ◽  
Author(s):  
Luis Gomez-Raya ◽  
Emilio Izquierdo ◽  
Eduardo Mercado de la Peña ◽  
Fabian Garcia-Ruiz ◽  
Wendy Mercedes Rauw

Abstract Background Two individuals with a first-degree relationship share about 50 percent of their alleles. Parent-offspring relationships cannot be homozygotes for alternative alleles (genetic exclusion). Methods Applying the concept of genetic exclusion to HD arrays typed in animals for experimental purposes or genomic selection allows estimation of the rate of rejection of first-degree relationships as the rate at which two individuals typed for a large number of SNPs do not share at least one allele. An Expectation–Maximization algorithm is applied to estimate parentage. In addition, genotyping errors are estimated in true parent-offspring relationships due to the large number of SNPs. Nine candidate Duroc sires and 55 Iberian dams producing 214 Duroc × Iberian barrows were typed for the HD porcine Affymetrix array. Results We were able to establish paternity and maternity of 75 and 86 piglets, respectively. A lower bound of the genotyping error of 0.003345 was estimated based on the rate of rejection of true parent-offspring relationships among autosomal SNPs. The true genotyping error is estimated to be between twice and three times the average of the rate of rejection observed in true relationships, i.e., between approximately 0.0067 and 0.0100. A total of 8,558 SNPs were rejected in six or more true parent-offspring relationships facilitating identification of “problematic” SNPs with inconsistent inheritance. Conclusions This study shows that animal experiments and routine genotyping in genomic selection allow to establish or to verify first-degree relationships as well as to estimate genotyping errors for each batch of animals or experiment.



Rice ◽  
2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Ki-Hong Jung ◽  
Hyun-Jung Gho ◽  
Hoi-Khoanh Giong ◽  
Anil Kumar Nalini Chandran ◽  
Quynh-Nga Nguyen ◽  
...  


2012 ◽  
Vol 44 (22) ◽  
pp. 1073-1089 ◽  
Author(s):  
M. J. J. Ronis ◽  
J. N. Baumgardner ◽  
J. C. Marecki ◽  
L. Hennings ◽  
X. Wu ◽  
...  

To determine if dietary fat composition affects the progression of nonalcoholic fatty liver disease (NAFLD), we overfed male Sprague-Dawley rats low (5%) or high (70%) fat diets with different fat sources: olive oil (OO), corn oil (CO), or echium oil (EO), with total enteral nutrition (TEN) for 21 days. Overfeeding of the 5% CO or 5% EO diets resulted in less steatosis than 5% OO ( P < 0.05). Affymetrix array analysis revealed significant differences in hepatic gene expression signatures associated with greater fatty acid synthesis, ChREBP, and SREBP-1c signaling and increased fatty acid transport ( P < 0.05) in the 5% OO compared with 5% CO group. The OO groups had macrosteatosis, but no evidence of oxidative stress or necrosis. The 70% CO and 70% EO groups had a mixture of micro- and macrosteatosis or only microsteatosis, respectively; increased oxidative stress; and increased necrotic injury relative to their respective 5% groups ( P < 0.05). Oxidative stress and necrosis correlated with increasing peroxidizability of the accumulated triglycerides. Affymetrix array analysis comparing the 70% OO and 70% CO groups revealed increased antioxidant pathways and lower expression of genes linked to inflammation and fibrosis in the 70% OO group. A second study in which 70% OO diet was overfed for 50 days produced no evidence of progression of injury beyond simple steatosis. These data suggest that dietary fat type strongly influences the progression of NAFLD and that a Mediterranean diet high in olive oil may reduce the risk of NAFLD progressing to nonalcoholic steatohepatitis.



2006 ◽  
pp. 95-108
Author(s):  
Jianhua Hu ◽  
Guosheng Yin ◽  
Jeffrey S. Morris ◽  
Li Zhang ◽  
Fred A. Wright




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