Publications by authors named "S Barani"

Article Synopsis
  • - Crossbreeding in livestock combines the strengths of different breeds to enhance performance, but predicting the success of crossbred animals often depends on data from purebred stock, limited by genetic and environmental factors.
  • - This study used a two-way crossbreeding simulation to explore how integrating data from purebred and crossbred populations could optimize predictions of crossbred performance using advanced genetic models like ssGBLUP and ssGBLUP-MF.
  • - Results showed that using genotypes from both purebred parents and their crossbreds improved prediction accuracy, especially at lower genetic correlation values, with ssGBLUP performing best when focusing solely on sire breed genotypes at high correlation levels.
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Background: Variations in the innate and adaptive immune response systems are linked to variations in the severity of COVID-19. Natural killer cell (NK) function is regulated by sophisticated receptor system including Killer-cell immunoglobulin-like receptor (KIR) family. We aimed to investigate the impact of possessing certain KIR genes and genotypes on COVID19 severity in Iranians.

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Background: CD4 T cell responses in HCV infection have a crucial role in the immunopathology of hepatitis C virus (HCV) infection. Our aim was to investigate the frequency of Th1, Th17, and Th22 cells in HCV-infected patients and elucidate their role in the progression of the disease.

Methods: Twenty-six HCV-infected patients and 26 healthy individuals were recruited.

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Knowledge of linkage disequilibrium (LD), genetic structure and genetic diversity are some key parameters to study the breeding history of indigenous small ruminants. In this study, the OvineSNP50 Bead Chip array was used to estimate and compare LD, genetic diversity, effective population size (Ne) and genomic inbreeding in 186 individuals, from three Iranian indigenous sheep breeds consisting of Baluchi (n = 96), Lori-Bakhtiari (n = 47) and Zel (n = 47). The results of principal component analysis (PCA) revealed that all animals were allocated to the groups that they sampled and the admixture analysis revealed that the structure within the populations is best explained when separated into three groups (K  =  3).

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Introduction: Coronavirus disease-2019 (COVID-19) had a multidimensional impact on human life. It affects the health-related quality of life (HRQoL) which is a perceived measure of physical and mental health. We estimated the EuroQol utility value for COVID-19 and the associated factors for those managed at Siddha COVID care centres in Tamil Nadu.

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