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.
| 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. |