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. 2015 Sep 18;38(Suppl 2):S37–S44. doi: 10.2337/dcs15-2007

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© 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

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Principal components and Q-Q plot of each group of analyses. The principal components analysis was used to cluster the most homogeneous samples for association analysis. The shape of the clusters differs because of the different origins of the merged samples; however, it is still possible to observe a good match between case and control subjects. A: Double autoimmunity vs. CeD-only patients. B: Double autoimmunity vs. patients with T1D only. PC1, principal component 1; PC2, principal component 2.