Genetic epidemiology is increasingly focused on the study of common diseases with both genetic and environmental determinants. The concept of geneenvironment interaction is becoming a central theme in epidemiologic studies that assess causes of human disease in populations (1). Advances in genetic technology and the work of the Human Genome Project will make it easier for the study of gene-envi...

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,...

The growth rate for infants and young children manifests the significant differences between age, sex, regional, and seasonal distributions. The growth rate for infants and young children is a complex process that depends on interaction of the genetic and environmental factors. All genetic and environmental factors jointly contribute to the growth rate for infants and young children, for exampl...

genetic parameters for birth weight (bw), weaning weight (ww), 6 months weight (6mw), 9 months weight (9mw) and yearling weight (yw) in baluchi sheep were estimated using data collected during a 26-year period (1984-2010). estimates of (co)variance components were obtained by reml procedures by fitting a linear mixed animal model. significant random effects for each trait were explored by fitti...

Consistent evidence shows both genetic and stress-related risks on child and adolescent anxiety, yet few studies have considered the degree to which genetic effects are moderated by stress (gene-environment interaction). We used longitudinal data from both a child and adolescent sample of twins to examine three novel issues on the presence of gene-environment interaction on anxiety symptoms. Fi...

Systematic screens for genetic interactions are a cornerstone of both network and systems biology. However, most screens have been limited to characterizing interaction networks in a single environment. Moving beyond this static view of the cell requires a major technological advance to increase the throughput and ease of replication in these assays. Here, we introduce iSeq-a platform to build ...

Precise prediction for genetic architecture of complex traits is impeded by the limited understanding on genetic effects of complex traits, especially on gene-by-gene (GxG) and gene-by-environment (GxE) interaction. In the past decades, an explosion of high throughput technologies enables omics studies at multiple levels (such as genomics, transcriptomics, proteomics, and metabolomics). The ana...