objective: type 2 diabetes (t2d) as a complex disease is the result of genetically heterogeneous factors and environmental issues interaction. linkage and small-scale candidate gene studies were successful in identification of genetic susceptibilities of monogenic form of diseases. however, they were largely unsuccessful while applying to the more common forms of disease. by designing genome wi...

the aim of the present study was the estimation of (co) variance components and genetic parameters for body weight of moghani sheep, using random regression models based on b-splines functions. the data set included 9165 body weight records from 60 to 360 days of age from 2811 moghani sheep, collected between 1994 to 2013 from jafar-abad animal research and breeding institute, ardabil province,...

An important follow-up step after genetic markers are found to be associated with a disease outcome is a more detailed analysis investigating how the implicated gene or chromosomal region and an established environment risk factor interact to influence the disease risk. The standard approach to this study of gene-environment interaction considers one genetic marker at a time and therefore could...

myocardial infarction (mi) and its major determinant, coronary artery disease (cad), are complex diseases arising from the interaction between several genetic and environmental factors. until recently, the genetic basis of these diseases was poorly understood. genome-wide genetic association studies have afforded a comprehensive insight into the association between genetic variants and diseases...

Stud bull plays an important role in the development of animal husbandry. Detailed knowledge about maintenance behavior of stud bulls is essential for practicing better management conditions in the farm to support the artificial insemination (AI) industry demand. Therefore, a comparative study was conducted on stud bulls to evaluate the effect of genetic group, season, genetic group × season in...