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• W2307998860 abstract "The past two decades have been fertile for the development and application of genetic mapping and genome-wide association studies, driven by advances in the quality and cost of high-throughput genotyping and sequencing. Traditional mapping strategies that simply associate molecular markers with phenotypic values can be best utilized when the phenotype of one individual is independent of those of other members of the same mapping population. Game theory can be used to model the effect of individual–individual interactions on phenotypic variation and further identify quantitative trait loci that modulate these ecological interactions. The integration of game theory and functional mapping can not only improve the precision and efficiency of complex trait mapping through the mechanistic modeling of phenotype formation but can also provide an emergent platform for biological and biomedical research. Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and functional mapping through evolutionary game theory gains new insight into the genetic architecture of complex traits. By viewing phenotype formation as an evolutionary system, we formulate mathematical equations to model the ecological mechanisms that drive the interaction and coordination of its constituent components toward population dynamics and stability. Functional mapping provides a procedure for estimating the genetic parameters that specify the dynamic relationship of competition and cooperation and predicting how genes mediate the evolution of this relationship during trait formation. Natural selection has shaped the evolution of organisms toward optimizing their structural and functional design. However, how this universal principle can enhance genotype–phenotype mapping of quantitative traits has remained unexplored. Here we show that the integration of this principle and functional mapping through evolutionary game theory gains new insight into the genetic architecture of complex traits. By viewing phenotype formation as an evolutionary system, we formulate mathematical equations to model the ecological mechanisms that drive the interaction and coordination of its constituent components toward population dynamics and stability. Functional mapping provides a procedure for estimating the genetic parameters that specify the dynamic relationship of competition and cooperation and predicting how genes mediate the evolution of this relationship during trait formation." @default.
• W2307998860 created "2016-06-24" @default.
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• W2307998860 date "2016-05-01" @default.
• W2307998860 modified "2023-10-16" @default.
• W2307998860 title "Integrating Evolutionary Game Theory into Mechanistic Genotype–Phenotype Mapping" @default.
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• W2307998860 cites W1575978816 @default.
• W2307998860 cites W1844800652 @default.
• W2307998860 cites W1944381374 @default.
• W2307998860 cites W1967731019 @default.
• W2307998860 cites W1967829443 @default.
• W2307998860 cites W1969055273 @default.
• W2307998860 cites W1969280831 @default.
• W2307998860 cites W1983424530 @default.
• W2307998860 cites W1983455597 @default.
• W2307998860 cites W1987300339 @default.
• W2307998860 cites W1987370132 @default.
• W2307998860 cites W1996952375 @default.
• W2307998860 cites W2000929155 @default.
• W2307998860 cites W2003545107 @default.
• W2307998860 cites W2003747371 @default.
• W2307998860 cites W2007614382 @default.
• W2307998860 cites W2010359397 @default.
• W2307998860 cites W2010375850 @default.
• W2307998860 cites W2014004789 @default.
• W2307998860 cites W2017586115 @default.
• W2307998860 cites W2026877915 @default.
• W2307998860 cites W2029139718 @default.
• W2307998860 cites W2031511828 @default.
• W2307998860 cites W2033370790 @default.
• W2307998860 cites W2034637902 @default.
• W2307998860 cites W2041212907 @default.
• W2307998860 cites W2044890798 @default.
• W2307998860 cites W2044950717 @default.
• W2307998860 cites W2047195788 @default.
• W2307998860 cites W2047544611 @default.
• W2307998860 cites W2062663664 @default.
• W2307998860 cites W2064759881 @default.
• W2307998860 cites W2072351024 @default.
• W2307998860 cites W2077946779 @default.
• W2307998860 cites W2080183225 @default.
• W2307998860 cites W2084744681 @default.
• W2307998860 cites W2089441654 @default.
• W2307998860 cites W2089606793 @default.
• W2307998860 cites W2097141283 @default.
• W2307998860 cites W2097415485 @default.
• W2307998860 cites W2106372846 @default.
• W2307998860 cites W2108013961 @default.
• W2307998860 cites W2108864800 @default.
• W2307998860 cites W2109363904 @default.
• W2307998860 cites W2110808585 @default.
• W2307998860 cites W2111789241 @default.
• W2307998860 cites W2114123573 @default.
• W2307998860 cites W2116686857 @default.
• W2307998860 cites W2116901749 @default.
• W2307998860 cites W2122304259 @default.
• W2307998860 cites W2123558100 @default.
• W2307998860 cites W2126015874 @default.
• W2307998860 cites W2128068750 @default.
• W2307998860 cites W2130499440 @default.
• W2307998860 cites W2133866716 @default.
• W2307998860 cites W2138427174 @default.
• W2307998860 cites W2142966772 @default.
• W2307998860 cites W2146907631 @default.
• W2307998860 cites W2147760847 @default.
• W2307998860 cites W2148720618 @default.
• W2307998860 cites W2150168968 @default.
• W2307998860 cites W2151714908 @default.
• W2307998860 cites W2152807971 @default.
• W2307998860 cites W2153096382 @default.
• W2307998860 cites W2157176621 @default.
• W2307998860 cites W2157607613 @default.
• W2307998860 cites W2161789352 @default.
• W2307998860 cites W2162778907 @default.
• W2307998860 cites W2167638767 @default.
• W2307998860 cites W2171321440 @default.
• W2307998860 cites W2171888415 @default.
• W2307998860 cites W2952487927 @default.
• W2307998860 cites W4210370111 @default.
• W2307998860 cites W4234399993 @default.
• W2307998860 doi "https://doi.org/10.1016/j.tig.2016.02.004" @default.
• W2307998860 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27017185" @default.
• W2307998860 hasPublicationYear "2016" @default.
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