web/tutorial/ppt/html/webqtl_demo2.ppt_files/slide0024.htm


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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
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mso-text-indent-alt:0;mso-line-spacing:"-358 0 -1";mso-margin-left-alt:233;
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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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'><i>Ctbp2 </i></span><span
style='font-size:233%;color:#E9EB5D'>cis QTL, </span></span></layer><script>
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>but is
detected </span></span></layer><script>
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style='text-align:left'><span style='font-size:233%;color:#E9EB5D'>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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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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  </tr>
  <tr>
   <td colspan=1></td>
   <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">&nbsp; </span>Ctbp2 is a strong cis QTL in some
   brain regions (here the data are taken from the striatum).<span
   style="mso-spacerun: yes">&nbsp; </span>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.</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <td align=left colspan=1><font face=Verdana size=3>Notes:</font><br>
   </td>
  </tr>
  <tr>
   <td colspan=1></td>
   <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>
  </tr>
  <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">&nbsp; </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 consistency of QTL peaks.</font><br>
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