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<title>PowerPoint Presentation - Complex trait analysis, develop-ment, and
genomics</title>
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<meta name=Description
content="Jun-19-03: WebQTL link to www.webqtl.org/search.html">
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<div style='text-align:left;font-family:"Gill Sans";font-weight:normal;
font-style:normal;text-decoration:none;text-shadow:none;text-effect:none;
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style='text-align:left'><span style='font-size:68%'><i>link to <br>
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style='text-align:left'><span style='font-size:86%'><i>www.webqtl.org/search.html</i></span><span
style='font-size:68%;mso-special-format:lastCR;display:none'><i><br>
</i></span></span></layer></div>
</layer></div>
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<div style='text-align:left;font-family:"Gill Sans";font-weight:normal;
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style='text-align:left'><span style='font-size:94%;color:#E9EB5D;mso-color-index:
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> + mytop = 0.05 * g_height; myleft = 0.05 * g_width; myheight = 0.06 * g_height; mywidth = 0.55 * g_width; + document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' ); +</script><span
style='text-align:left'><span style='font-size:94%;color:#E9EB5D;mso-color-index:
3'>patterns<br>
</span></span></layer></div>
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56'><script> + mytop = 0 * g_height; myleft = 0.05 * g_width; myheight = 0.06 * g_height; mywidth = 0.55 * g_width; + document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' ); +</script><span
style='text-align:left'><span style='font-size:94%;color:#E9EB5D;mso-color-index:
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> + mytop = 0.05 * g_height; myleft = 0.05 * g_width; myheight = 0.06 * g_height; mywidth = 0.55 * g_width; + document.write( '<layer top=' + mytop + ' left=' + myleft + ' height=' + myheight + ' width=' + mywidth + ' >' ); +</script><span
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3'>modulators (QTLs)<br>
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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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17'><span style='font-family:"Arial Rounded MT Bold";font-size:233%;color:#6E6E6E'>RNA</span><span
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display:none'><br>
</span></div>
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</span></div>
</layer></div>
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<layer>
<div id=NotesObj style='display:none'>
<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 2: Mapping
upstream modulators or QTLs. A quantitative trait locus is a chromosomal
region that harbors one or a few polymorphic gene loci that influence a
trait. We are going to be looking for QTLs that modulate the steady state
expression level of App in the adult mouse forebrain.</font><br>
</td>
</tr>
</table>
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<script language=JavaScript><!--
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