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Thursday, June 11 • 10:00am - 10:50am
Dissecting and fine-mapping trans-eQTL hotspots

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Studies of the genetic loci that contribute to variation in geneexpression frequently identify eQTL with broad effect on geneexpression: trans-eQTL hot spots. We have developed a set of exploratory as well as formal statistical methods for assessing whether a given hotspot is due to one or multiple polymorphisms, and to define the QTL interval in the case that it appears to be due to a single polymorphism. A useful device is to examine the pattern of gene expression, in the genes that map to a given trans-eQTL hotspot, among individuals that show no recombination event in the region, in comparison to individuals that did have a recombination event. The QTL effects, including the degree of dominance, can also be informative. As part of our formal test for one vs two polymorphismsin a region, we consider a two-QTL model with each expression trait affected by one or the other QTL.

This is joint work with Jianan Tian. 

Moderators
avatar for William Valdar

William Valdar

Assistant Professor, University of North Carolina at Chapel Hill

Speakers
avatar for Karl Broman

Karl Broman

Professor, University of Wisconsin-Madison
Karl Broman is Professor in the Department of Biostatistics & Medical Informatics at the University of Wisconsin–Madison; research in statistical genetics; developer of R/qtl. Recently he has been focusing on interactive data visualization; see his R/qtlcharts package and his D... Read More →


Thursday June 11, 2015 10:00am - 10:50am PDT
OHSU Old Library Auditorium 3181 SW Sam Jackson Park Rd

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