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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
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height:100.0%'><span style='position:absolute;top:0%;left:0%;width:100.0%'><span
style='font-size:68%'><i>WebQTL<span style="mso-spacerun:
yes">&nbsp;&nbsp;&nbsp; </span><br>
</i></span></span><span style='position:
absolute;top:32.43%;left:4.37%;width:95.76%'><span style='font-size:68%'><i>link
to <br>
</i></span></span><span style='position:absolute;top:58.55%;left:4.37%;
width:95.76%'><span style='font-size:86%'><i>www.webqtl.org/search.html</i></span><span
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</i></span></span></div>

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<div style='mso-line-spacing:" 0 ";mso-margin-left-alt:348;mso-text-indent-alt:
56;position:absolute;top:0%;left:0%;width:94.6%;height:31.57%'><span
style='position:absolute;top:0%;left:7.46%;width:92.53%'><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:
"numbullet3\,1";color:#FBFDB8;position:absolute;left:-8.06%;font-family:Times;
font-size:99%'>1.</span></span><span style='font-size:94%;color:#E9EB5D;
mso-color-index:3'>Discovering shared expression </span></span><span
style='position:absolute;top:43.93%;left:7.46%;width:82.12%'><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3'>patterns<br>
</span></span></div>

<div style='mso-line-spacing:" 0 ";mso-margin-left-alt:348;mso-text-indent-alt:
56;position:absolute;top:41.14%;left:0%;width:84.94%;height:31.57%'><span
style='position:absolute;top:0%;left:8.31%;width:91.46%'><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:
"numbullet3\,2";color:#FBFDB8;position:absolute;left:-9.09%;font-family:Times;
font-size:99%'>2.</span></span><span style='font-size:94%;color:#E9EB5D;
mso-color-index:3'>Discovering upstream </span></span><span style='position:
absolute;top:43.93%;left:8.31%;width:91.46%'><span style='font-size:94%;
color:#E9EB5D;mso-color-index:3'>modulators (QTLs)<br>
</span></span></div>

<div style='mso-line-spacing:" 0 &#1;";mso-margin-left-alt:348;mso-text-indent-alt:
56;position:absolute;top:82.29%;left:0%;width:100.0%;height:17.7%'><span
style='position:absolute;top:0%;left:7.06%;width:92.75%'><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:
"numbullet3\,3";color:#FBFDB8;position:absolute;left:-7.61%;font-family:Times;
font-size:99%'>3.</span></span><span style='font-size:94%;color:#E9EB5D;
mso-color-index:3'>Discovering downstream targets</span></span></div>

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<table style='color:white' border=0 width="100%">
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  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>Part 3.<span
  style="mso-spacerun: yes">&nbsp; </span>Many investigators would like to
  discover the set of downstream targets of a gene of interest.</font><br>
  </td>
 </tr>
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  <td colspan=1></td>
  <td align=left colspan=1><br>
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  <td colspan=1></td>
  <td align=left colspan=1><font face=Helvetica size=3>In a genetic and
  functional sense, that question can only be addressed effectively if there is
  genetic variation in the particular gene.<span style="mso-spacerun:
  yes">&nbsp; </span>We know that Fos is an important transcription factor, but
  unless it is polymorphic between C57BL/6J and DBA/2J, then it cannot generate
  a genetic variance signal with which we can work. We can still study
  covariance of Fos and hundreds of other transcripts (an interesting
  exercise), but there are no genetic causes-and-effects.</font><br>
  </td>
 </tr>
</table>

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