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Yet, their role in the origin of novel, complex traits remains unclear.
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Genomic mapping of complex traits across species demands integrating genetics and statistics.
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Genetic studies of complex traits have mainly identified associations with noncoding variants.
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Results are consistent with previous, similarly powered genome-wide association studies of complex traits.
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Common complex traits are under variable levels of genetic influence and additionally epigenetic effect.
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The evolution of complex traits is hypothesized to occur incrementally.
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A major challenge of plant biology is to unravel the genetic basis of complex traits.
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Finding genes for complex traits is one of the major challenges of modern human genetics.
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The proposed approach is a powerful tool for interrogating the etiological mechanism underlying complex traits.
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Significant interest has emerged in mapping genetic susceptibility for complex traits through whole-genome association studies.
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The levels of statistical significance were modest, as expected from loci contributing to complex traits.
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Factor analysis gives a direct mechanism by which to relate gene networks to complex traits.
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However, the use of mouse models for analysis of complex traits is at an important crossroad.
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Genome-wide association studies (GWAS) are used to investigate genetic variants contributing to complex traits.
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Genome-wide association studies (GWAS) have been widely used in genetic dissection of complex traits.
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This study illustrates some of the difficulties associated with identifying sequence variations contributing to complex traits.
