diff options
| author | zsloan | 2015-03-27 20:28:51 +0000 |
|---|---|---|
| committer | zsloan | 2015-03-27 20:28:51 +0000 |
| commit | d0911a04958a04042da02a334ccc528dae79cc17 (patch) | |
| tree | 3c48e2e937c1dbeaf00a5697c87ed251afa5c8f1 /web/tutorial/ppt/WebQTLDemo_files/slide0011_notes_pane.htm | |
| parent | a840ad18e1fe3db98a359a159e9b9b72367a2839 (diff) | |
| download | genenetwork2-d0911a04958a04042da02a334ccc528dae79cc17.tar.gz | |
Removed everything from 'web' directory except genofiles and renamed the directory to 'genotype_files'
Diffstat (limited to 'web/tutorial/ppt/WebQTLDemo_files/slide0011_notes_pane.htm')
| -rwxr-xr-x | web/tutorial/ppt/WebQTLDemo_files/slide0011_notes_pane.htm | 5 |
1 files changed, 0 insertions, 5 deletions
diff --git a/web/tutorial/ppt/WebQTLDemo_files/slide0011_notes_pane.htm b/web/tutorial/ppt/WebQTLDemo_files/slide0011_notes_pane.htm deleted file mode 100755 index 214c9e08..00000000 --- a/web/tutorial/ppt/WebQTLDemo_files/slide0011_notes_pane.htm +++ /dev/null @@ -1,5 +0,0 @@ -<html> <head> <meta name=ProgId content=PowerPoint.Slide> <meta name=Generator content="Microsoft Macintosh PowerPoint 10"> <link id=Main-File rel=Main-File href="WebQTLDemo.htm"> <link title="Presentation File" type="application/powerpoint" rel=alternate href=WebQTLDemo.ppt> <script> -if ( ! top.PPTPRESENTATION ) { - window.location.replace( "endshow.htm" ); -} -</script> </head> <body bgcolor=black text=white> <table border=0 width="100%"> <tr> <td width=5 nowrap></td> <td width="100%"></td> </tr> <tr> <td colspan=1></td> <td align=left colspan=1><font face=Helvetica size=2>Having worked with WebQTL now for 30 minutes, do we know anything new? The hypothesis that we have generated (but not validated) is that three transcripts: Atp6l, Gnas, and Ndr4 are part of a family of genes that are coregulated in normal mouse forebrain with App and Hsp84-1. We need to add functional and mechanistic significance to this hypothesis to make it biologically vibrant. But from a statiistical standpoint it is a strong inference.</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=2>Please donŐt say: But these are mere correlations. A high correlation in this context has a biological basis. The real question is are we smart enough to understand the web (not chain) of causality that produced the correlation. Once we understand the web of causality, does it have utility? Very often the answer will be NO. This will often be the case when a high correlation is generated by linkage disequilibrium of sets of polymorphisms that modulate a set of mechanistically separated traits. Chromosomal linkage can produce correlations that are not mechanistic in the conventional sense used by molecular biologists. For example, clusters<span style="mso-spacerun: yes"> </span>of hox transcription factor genes tend to be close physically to keratin gene clusters, and one might expect shared patterns of variance produced by this linkage in a mapping panel, no matter how large.</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=2>If Affymetrix designed probe sets with reasonable care, if we did the experiments correctly, if we sampled animals appropriately, then a correlation of 0.70 or higher between transcripts in the brain tells you that these two transcripts are effectively coupled in this set of animals under this set of conditions. More than 50% the variance in the expression of one transcript can be predicted from the other. That is a major piece of information that could be of significant clinical, economic, and predictive value, whatever its causes. Yes, correlation coefficients are noisy and have large error terms, but we have larger n of strains coming to the rescue. Expect more than 50 BXD lines soon.</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=2>This is a thin veneer of functional genomics. It is enough to generate some marvelous hypotheses in a semi-automated way.</font><br> </td> </tr> </table> </body> </html> \ No newline at end of file |