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The ME analysis illustrated 17 marker intervals resulting in 30 two-way interactions (Table 3; Fig. 3); these interactions significantly influenced the traits, suggesting that epistasis is an important component of the genetic basis for complex traits, including tolerance of salt stress.
More recently, researchers have used artificial selection experiments to study the genetic basis for complex traits by analyzing allele frequency changes in evolved populations.
Integrating different sources of genetic variation for functional studies is a reasonable approach to better understand the genetic basis for complex traits [ 53].
Evolve and resequence studies combine artificial selection experiments with massively parallel sequencing technology to study the genetic basis for complex traits.
The aforementioned studies provided useful information for both heterosis utilization and the dissection of the genetic basis for complex traits, but the accessions used in previous studies were obtained from a single geographical origin and have relied on the smallest number of markers, which limits our understanding of genetic differentiation.
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These observations offer valuable lessons for understanding the genetic basis of variation for complex traits in other organisms, including humans.
In contrast, the genetic basis of adaptation for complex traits composed of many interacting constituent parts is in its infancy, for technical as well as biological reasons.
Increasing the understanding of positive selection and how it shapes genetic variation in domestic animals has the potential to provide powerful insights into the mechanisms involved in evolution, help target loci for selection and possibly highlight the genetic basis of phenotypic diversity for complex traits [ 5, 11].
The dyslexia subgroup (N = 329) had more than 80% power to detect an effect size of 4.87%, which however is a very large effect on the basis of what we would expect for complex traits.
Ongen, H. et al. Estimating the causal tissues for complex traits and diseases.
McCarthy, M. I. et al. Genome-wide association studies for complex traits: consensus, uncertainty and challenges.
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