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	<title>Comments on: AGBT: Taking the Statistics out of Statistical Genetics</title>
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		<title>By: how is personality developed? What roles do genetics and environment play in personality development? &#124; Overcoming Procrastination</title>
		<link>http://www.genetic-inference.co.uk/blog/2010/02/agbt-taking-the-statistics-out-of-statistical-genetics/comment-page-1/#comment-2667</link>
		<dc:creator>how is personality developed? What roles do genetics and environment play in personality development? &#124; Overcoming Procrastination</dc:creator>
		<pubDate>Sun, 14 Mar 2010 12:19:41 +0000</pubDate>
		<guid isPermaLink="false">http://www.genetic-inference.co.uk/blog/?p=818#comment-2667</guid>
		<description>[...] AGBT: Taking the Statistics out of Statistical Genetics « Genetic &#8230; [...]</description>
		<content:encoded><![CDATA[<p>[...] AGBT: Taking the Statistics out of Statistical Genetics « Genetic &#8230; [...]</p>
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		<title>By: Jared Roach</title>
		<link>http://www.genetic-inference.co.uk/blog/2010/02/agbt-taking-the-statistics-out-of-statistical-genetics/comment-page-1/#comment-2641</link>
		<dc:creator>Jared Roach</dc:creator>
		<pubDate>Fri, 12 Mar 2010 20:10:06 +0000</pubDate>
		<guid isPermaLink="false">http://www.genetic-inference.co.uk/blog/?p=818#comment-2641</guid>
		<description>When I first saw the title of this post, I thought it might be about my talk. If you sequence the whole genome, you don&#039;t need to do [mumble mumble] statistical genetics, because every variant is typed, and so no inference needs to be made about linkage - most of what statistical genetics is about. So by sequencing the whole genomes of families, we are &quot;taking the statistics out of statistical genetics&quot;. Admittedly, there are a lot of caveats in the &quot;mumble mumble&quot; qualification of the claim.

I, too, was a little surprised by the glibness of Debbie&#039;s description of her group&#039;s approach to Booleanize data that would seem to be much richer if not so transformed. However, I have a tremendous amount of faith in Debbie and her collaborators and her track record. She was giving a very short talk (on the order of about 20 minutes) and most likely needed to quickly describe one easy-to-understand approach. I feel very confident that they will analyze their data in a robust manner, taking advantage of multiple statistical genetic approaches to analysis. There are some issues of multiple test correction and maximizing the power of their study that might benefit from an up-front declaration of a Boolean approach as one primary outcome variable.

With respect to whether whole genome studies should consider the results of previous linkage studies, I would recommend that most not include data from previous studies in a primary analysis, but that a secondary analysis be performed with those results. Long conversation, but in short: &quot;looking under the lamp post.&quot;</description>
		<content:encoded><![CDATA[<p>When I first saw the title of this post, I thought it might be about my talk. If you sequence the whole genome, you don&#8217;t need to do [mumble mumble] statistical genetics, because every variant is typed, and so no inference needs to be made about linkage &#8211; most of what statistical genetics is about. So by sequencing the whole genomes of families, we are &#8220;taking the statistics out of statistical genetics&#8221;. Admittedly, there are a lot of caveats in the &#8220;mumble mumble&#8221; qualification of the claim.</p>
<p>I, too, was a little surprised by the glibness of Debbie&#8217;s description of her group&#8217;s approach to Booleanize data that would seem to be much richer if not so transformed. However, I have a tremendous amount of faith in Debbie and her collaborators and her track record. She was giving a very short talk (on the order of about 20 minutes) and most likely needed to quickly describe one easy-to-understand approach. I feel very confident that they will analyze their data in a robust manner, taking advantage of multiple statistical genetic approaches to analysis. There are some issues of multiple test correction and maximizing the power of their study that might benefit from an up-front declaration of a Boolean approach as one primary outcome variable.</p>
<p>With respect to whether whole genome studies should consider the results of previous linkage studies, I would recommend that most not include data from previous studies in a primary analysis, but that a secondary analysis be performed with those results. Long conversation, but in short: &#8220;looking under the lamp post.&#8221;</p>
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		<title>By: admin</title>
		<link>http://www.genetic-inference.co.uk/blog/2010/02/agbt-taking-the-statistics-out-of-statistical-genetics/comment-page-1/#comment-2466</link>
		<dc:creator>admin</dc:creator>
		<pubDate>Tue, 02 Mar 2010 12:37:59 +0000</pubDate>
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		<description>I didn&#039;t say that the approach was a bad one per se. I just think that it shows a recklessness to do what are essentially linkage studies without first considering previous linkage studies used on the same disease. 

Stacey Gabriel is looking for a variants with assumed large odds ratio, with certain functional characteristics, within certain genes. People have previously done association and linkage studies that do the same thing, and lots of times nothing has been found; she should look to see whether her study falls into the realms of one of those.</description>
		<content:encoded><![CDATA[<p>I didn&#8217;t say that the approach was a bad one per se. I just think that it shows a recklessness to do what are essentially linkage studies without first considering previous linkage studies used on the same disease. </p>
<p>Stacey Gabriel is looking for a variants with assumed large odds ratio, with certain functional characteristics, within certain genes. People have previously done association and linkage studies that do the same thing, and lots of times nothing has been found; she should look to see whether her study falls into the realms of one of those.</p>
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		<title>By: Elisabeth Rosenthal</title>
		<link>http://www.genetic-inference.co.uk/blog/2010/02/agbt-taking-the-statistics-out-of-statistical-genetics/comment-page-1/#comment-2383</link>
		<dc:creator>Elisabeth Rosenthal</dc:creator>
		<pubDate>Fri, 26 Feb 2010 18:29:37 +0000</pubDate>
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		<description>I think that your critique on &#039;re-inventing&#039; linkage analysis is unjustified. The problem with complex traits, is that they may have many underlying causes. If we can detect linkage, in the usual way, then looking more closely at the sequence information is quite useful. I think you&#039;ll be seeing some interesting research in the near future pointing to this.</description>
		<content:encoded><![CDATA[<p>I think that your critique on &#8216;re-inventing&#8217; linkage analysis is unjustified. The problem with complex traits, is that they may have many underlying causes. If we can detect linkage, in the usual way, then looking more closely at the sequence information is quite useful. I think you&#8217;ll be seeing some interesting research in the near future pointing to this.</p>
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