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<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en"><id>http://publicationslist.org/data/e.adie/atom.xml</id><title>Euan Adie's Publications List</title>
<link rel="self" type="application/atom+xml" href="http://publicationslist.org/data/e.adie/atom.xml"/><link rel="alternate" type="text/html" href="http://publicationslist.org/e.adie"/><author><name>Euan Adie</name><uri>http://publicationslist.org/e.adie</uri></author><icon>$basepathfavicon.ico</icon><subtitle>Recent additions to Euan Adie's PublicationsList.org page</subtitle><logo>http://publicationslist.org/publications.png</logo><updated>2008-05-06T10:09:07Z</updated>

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<id>http://publicationslist.org/e.adie/refid1</id>
<updated>2008-05-06T10:08:24Z</updated>
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<title type='html'>Association of Neuregulin 1 with schizophrenia and bipolar disorder in a second cohort from the Scottish population.</title>
<summary type='html'>Neuregulin 1 (NRG1) is a strong candidate for involvement in the aetiology of schizophrenia. A haplotype, initially identified as showing association in the Icelandic and Scottish populations, has shown a consistent effect size in multiple European populations. Additionally, NRG1 has been implicated in susceptibility to bipolar disorder. In this first study to select markers systematically on the ...&lt;br/&gt;&lt;br/&gt;P A Thomson, A Christoforou, S W Morris, E Adie, B S Pickard, D J Porteous, W J Muir, D H R Blackwood, K L Evans (2007)  &lt;i&gt;Mol Psychiatry&lt;/i&gt; &lt;i&gt;&lt;/i&gt; &lt;i&gt;&lt;/i&gt; 12: 1 94-104&lt;br/&gt;</summary>
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<entry>
<id>http://publicationslist.org/e.adie/refid2</id>
<updated>2008-05-06T10:08:24Z</updated>
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<title type='html'>Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes.</title>
<summary type='html'>Genome-wide experimental methods to identify disease genes, such as linkage analysis and association studies, generate increasingly large candidate gene sets for which comprehensive empirical analysis is impractical. Computational methods employ data from a variety of sources to identify the most likely candidate disease genes from these gene sets. Here, we review seven independent computational d...&lt;br/&gt;&lt;br/&gt;Nicki Tiffin, Euan Adie, Frances Turner, Han G Brunner, Marc A van Driel, Martin Oti, Nuria Lopez-Bigas, Christos Ouzounis, Carolina Perez-Iratxeta, Miguel A Andrade-Navarro, Adebowale Adeyemo, Mary Elizabeth Patti, Colin A M Semple, Winston Hide (2006)  &lt;i&gt;Nucleic Acids Res&lt;/i&gt; &lt;i&gt;&lt;/i&gt; &lt;i&gt;&lt;/i&gt; 34: 10 3067-3081&lt;br/&gt;</summary>
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<entry>
<id>http://publicationslist.org/e.adie/refid3</id>
<updated>2008-05-06T10:08:24Z</updated>
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<title type='html'>SUSPECTS: enabling fast and effective prioritization of positional candidates.</title>
<summary type='html'>SUMMARY: SUSPECTS is a web-based server which combines annotation and sequence-based approaches to prioritize disease candidate genes in large regions of interest. It uses multiple lines of evidence to rank genes quickly and effectively while limiting the effect of annotation bias to significantly improve performance. AVAILABILITY: SUSPECTS is freely available at http://www.genetics.med.ed.ac.uk/s...&lt;br/&gt;&lt;br/&gt;E A Adie, R R Adams, K L Evans, D J Porteous, B S Pickard (2006)  &lt;i&gt;Bioinformatics&lt;/i&gt; &lt;i&gt;&lt;/i&gt; &lt;i&gt;&lt;/i&gt; 22: 6 773-774&lt;br/&gt;</summary>
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<entry>
<id>http://publicationslist.org/e.adie/refid4</id>
<updated>2008-05-06T10:08:24Z</updated>
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<title type='html'>Speeding disease gene discovery by sequence based candidate prioritization.</title>
<summary type='html'>BACKGROUND: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is reduced by matching functional annotation to knowledge of the disease or phenotype in question. However, here we show that disease genes share patterns of sequence-based features that can provide a good basis for automat...&lt;br/&gt;&lt;br/&gt;Euan A Adie, Richard R Adams, Kathryn L Evans, David J Porteous, Ben S Pickard (2005)  &lt;i&gt;BMC Bioinformatics&lt;/i&gt; &lt;i&gt;&lt;/i&gt; &lt;i&gt;&lt;/i&gt; 6:  &lt;br/&gt;</summary>
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