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PowerPoint Presentation - Complex trait analysis, develop-ment, and
genomics
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Evaluating
Ctbp2 as a candidate QTL for App
This is the Ctbp2 cis QTL, but is
detected only in the Rosen
striatum data set.
This is the App QTL in the INIA
data set.
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This slide illustrates
one reason why Ctbp2 should be considered a high priority positional
candidate gene that may modulate the expression level of App.Ctbp2 is a strong cis QTL in some
brain regions (here the data are taken from the striatum).If Ctbp2 contains variants that
modulate its own expression then these expression differences may produce
many downstream effects. Of course, we now want to know much more about the
known biology of Ctbp2. What kind of gene is it? To begin to answer that
question we can use a number of resources listed in the LINKS page.
Notes:
1. The App QTL is bimodal. Perhaps there are actually two
causal factors in this region--one close to 123 Mb and the other close to
127 Mb.
2. The precision of QTL
mapping depends on several factors, including the effect size and
interactions among QTLs modulating a trait, the number of genetic
individuals that are studied, and the distribution of recombinations in the
study population.In the case
above, the QTL(s) are likely to be confined to the interval from 120 to 132
Mb. The bootstrap test (yellow bars shown in some of the previous slides)
can be usual for estimating the consistency of QTL peaks.