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<title>PowerPoint Presentation  -  Complex trait analysis, develop-ment, and
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<div style='mso-special-format:nobullet;text-align:left;font-family:"Gill Sans";
font-weight:normal;font-style:normal;text-decoration:none;text-shadow:none;
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292;mso-text-indent-alt:0;mso-line-spacing:"-220 0 -216";mso-margin-left-alt:
292;mso-text-indent-alt:0'><span style='mso-special-format:nobullet;display:
none;color:#FBFDB8;font-family:"Monotype Sorts";font-size:99%'>l</span><span
style='font-size:106%;color:#E9EB5D;mso-color-index:3'>Summary of Part 2</span><span
style='font-size:94%;color:#E9EB5D;mso-color-index:3;mso-special-format:lastCR;
display:none'><br>
</span></div>

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font-family:Verdana;font-weight:normal;font-style:normal;text-decoration:none;
text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.96%;font-family:Arial'>1.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Covered the basics of QTL
analysis and mapping.<br>
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text-shadow:none;text-effect:none;mso-fareast-hint:no;layout-flow:horizontal;
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color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.96%;font-family:Arial'>2.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Reviewed difference between
genetic and physical maps.<br>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.55%;font-family:Arial'>3.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Discussed interpreting features
of QTL maps including the LRS function, </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'>the additive effect function, the bootstrap
bars, and the permutation </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'>thresholds.<br>
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color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
position:absolute;left:-2.89%;font-family:Arial'>4.</span></span><span
style='font-family:"Gill Sans";font-size:167%;color:#E9EB5D;mso-color-index:
3'><span style="mso-spacerun: yes">&nbsp;</span>Illustrated techniques to
generate a list of positional candidates.<br>
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color:#E9EB5D;mso-color-index:3'><span style='mso-special-format:numbullet;
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<div style='text-align:left;font-family:Verdana;font-weight:normal;font-style:
normal;text-decoration:none;text-shadow:none;text-effect:none;mso-fareast-hint:
no;layout-flow:horizontal;color:black;mso-color-index:1;font-size:80%;
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</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'>What does a QTL signify? A good QTL is a claim
that a particular </span></span></layer><script>
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</script><span
style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'>chromosomal region contains a causal source of
variation in the phenotype. </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
color:#E9EB5D;mso-color-index:3'>phenotype and the statistical strength of the
QTL. As usual, test and be </span></span></layer><script>
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style='text-align:left'><span style='font-family:"Gill Sans";font-size:167%;
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