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SUMMARY:Towards a complete view of the genetics of gene expression variati
 on in yeast - Professor Frank Albert\, University of Minnesota 
DTSTART:20161018T130000Z
DTEND:20161018T140000Z
UID:TALK67672@talks.cam.ac.uk
CONTACT:Caroline Newnham
DESCRIPTION:Genetic variation among individuals is an important source of 
 phenotypic variation within species. Many of these genetic effects are due
  to regulatory variation that influences gene expression. However\, the fu
 ll extent and nature of regulatory variation remains unknown due to the li
 mited sample sizes that are typically studied\, resulting in low statistic
 al power. \nI will discuss our ongoing work addressing this limitation for
  the proteome and the transcriptome in the yeast Saccharomyces cerevisiae.
  For protein levels\, we devised an approach based on extremely large pool
 s of genetically different cells that carry proteins with fluorescent tags
 . For mRNA levels\, we used RNA sequencing to profile gene expression in m
 ore than 1\,000 recombinant yeast individuals. The statistical power of th
 is dataset is high enough to map thousands of regulatory loci that togethe
 r account for ~80% of the heritability of mRNA levels. Together\, these da
 ta provide a nearly exhaustive view of how genetic variation influences ge
 ne expression.\n
LOCATION:Part II Room\, Department of Genetics
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