Dissection of genetically complex traits with extremely large pools of yeast segregants

Ian M. Ehrenreich, Noorossadat Torabi, Yue Jia, Jonathan Kent, Stephen Martis, Joshua A. Shapiro, David Gresham, Amy A. Caudy and Leonid Kruglyak ()
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Ian M. Ehrenreich: Lewis-Sigler Institute for Integrative Genomics,
Noorossadat Torabi: Lewis-Sigler Institute for Integrative Genomics,
Yue Jia: Lewis-Sigler Institute for Integrative Genomics,
Jonathan Kent: Lewis-Sigler Institute for Integrative Genomics,
Stephen Martis: Lewis-Sigler Institute for Integrative Genomics,
Joshua A. Shapiro: Lewis-Sigler Institute for Integrative Genomics,
David Gresham: Lewis-Sigler Institute for Integrative Genomics,
Amy A. Caudy: Lewis-Sigler Institute for Integrative Genomics,
Leonid Kruglyak: Lewis-Sigler Institute for Integrative Genomics,

Nature, 2010, vol. 464, issue 7291, 1039-1042

Abstract: Complex traits made simple in yeast Discovering genetic basis of complex traits remains one of key challenges of today's genetic research. Current approaches cannot identify multiple loci with small effects because of the lack of statistical power. Ehrenreich et al. have developed a method that overcomes this problem. Working in yeast they use chemical resistance traits and mitochondrial function to demonstrate genetic complexity of many traits and that many of the underlying factors can be identified using their approach, which ultimately could be extended to other organisms.

Date: 2010
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DOI: 10.1038/nature08923

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