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David Andrew Eccles added subsection_Comparison_with_SNP_set__.tex
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\subsection{Comparison with SNP set from Literature}
\label{sec:comparison-with-snp}
\begin{table}
\centering
\begin{tabular}{ccc}
\textbf{SNP} & \textbf{Chr Region} \textbf{Gene Locus}\\
rs9270986 & 6q21 & HLA\\
rs6679677 & 1p13 & PHTF1-PTPN22\\
rs17696736 & 12q24 & C12orf30\\
rs2292239 & 12q13 & ERBB3\\
rs12708716 & 16p13 & KIAA0350\\
rs2542151 & 18p11 & PTPN2\\
rs3741208 & 11p15 & INS\\
rs17388568 & 4q27 & Tenr-IL2-IL21\\
rs7722135 & 5q14 & Q8WY63\\
rs9653442 & 2q11 & AFF3-LOC150577\\
rs6546909 & 2p13 & DQX1\\
rs2666236 & 10p11 & NRP1\\
\end{tabular}
\caption[Previous GWAS T1D SNPs]{A list of SNPs found by other
researchers to be associated with T1D risk. The first SNP
(rs9270986) yielded the most extreme statistic in the WTCCC analysis
\cite{wellcome07}. Marker names and locations for the remaining 11
SNPs are from Table 1 of \citet{todd07}.}
\label{tab:t1d-snplist-literature}
\end{table}
% email from Rod, Thursday, 10 April 2008 11:28 (Re: Back to T1D)
\citet{todd07} carried out an analysis of 11 SNPs that were found to
be associated with Type 1 Diabetes in genome-wide association studies.
This group of SNPs, in combination with the most informative SNP from
the WTCCC study \cite{wellcome07}, was selected to be compared with
the signature set of 5 SNPs in the present study (see
Table~\ref{tab:t1d-snplist-literature}). The \textsl{structure}
program was used in combination with an AUC analysis to evaluate the
effectiveness of this group of 12 SNPs for 1963 WTCCC T1D cases and
1458 NBS controls (see Figure~\ref{fig:rod-ref-structure-top12} and
Figure~\ref{fig:literature-ROC-analysis}).