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<title>PowerPoint Presentation - Complex trait analysis, develop-ment, and
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mso-text-indent-alt:0'><span style='font-family:Verdana;font-size:64%'>Evaluating
</span><span style='font-family:Verdana;font-size:64%'><i>Ctbp2</i></span><span
style='font-family:Verdana;font-size:64%'> as a candidate QTL for </span><span
style='font-family:Verdana;font-size:64%'><i>App</i></span><span
style='font-family:Verdana;font-size:73%;mso-special-format:lastCR;display:
none'><i><br>
</i></span></div>
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>This is</span><span
style='font-size:233%;color:#E9EB5D'><i> the </i></span></span></layer><script>
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detected </span></span></layer><script>
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>data set.</span><span
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</i></span></span></layer></div>
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>This is</span><span
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>in the INIA
data set. </span><span style='font-size:233%;color:#E9EB5D;mso-special-format:
lastCR;display:none'><i><br>
</i></span></span></layer></div>
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<td align=left colspan=1><font face=Verdana size=3>This slide illustrates
one reason why Ctbp2 should be considered a high priority positional
candidate gene that may modulate the expression level of App.<span
style="mso-spacerun: yes"> </span>Ctbp2 is a strong cis QTL in some
brain regions (here the data are taken from the striatum).<span
style="mso-spacerun: yes"> </span>If Ctbp2 contains variants that
modulate its own expression then these expression differencess 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.</font><br>
</td>
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<td colspan=1></td>
<td align=left colspan=1><br>
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<td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
</td>
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<td align=left colspan=1><font face=Arial size=3>1.</font><font
face=Verdana size=3> 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.</font><br>
</td>
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<tr>
<td colspan=1></td>
<td align=left colspan=1><font face=Verdana size=3>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.<span style="mso-spacerun: yes"> </span>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 consiistency of QTL peaks.</font><br>
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