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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
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</script><span
style='text-align:left'><span style='font-size:68%'><i>WebQTL<span
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</i></span></span></layer></div>

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3'><span style='mso-special-format:numbullet;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></layer><script>
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style='text-align:left'><span style='font-size:94%;color:#E9EB5D;mso-color-index:
3'>patterns<br>
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3'><span style='mso-special-format:numbullet;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></layer><script>
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style='text-align:left'><span style='font-size:94%;color:#E9EB5D;mso-color-index:
3'>modulators (QTLs)<br>
</span></span></layer></div>

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3'><span style='mso-special-format:numbullet;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></layer></div>

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 <table style='color:white' border=0 width="100%">
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   <td width="100%"></td>
  </tr>
  <tr>
   <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>
  <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=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>
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