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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
genomics</title>
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plots: </span><span style='font-size:94%;color:#E9EB5D;mso-color-index:3'>here
is one of the best</span></div>

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   <td colspan=1></td>
   <td align=left colspan=1><font face=Helvetica size=3>The correlation between
   App and heat shock protein 84-1 transcript is most impressive.<span
   style="mso-spacerun: yes">&nbsp; </span>Since WebQTL now contains total of
   about 70,000 traits in the BXD strains, we could produce as many as to 70k x
   35k scatter plots of this type. Since all of the<span style="mso-spacerun:
   yes">&nbsp; </span>correlations come for a common reference population,
   none<span style="mso-spacerun: yes">&nbsp; </span>of the correlations are
   blantantly silly. However the great majority may be uninterpretable and a
   very large number may be meaningless given the signal-to-noise ratios of
   some measurements. With about 30 strains, correlations above 0.7 have a
   reasonably low false positive rate.</font><br>
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