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. 2012 Feb 16;8(2):e1002373. doi: 10.1371/journal.pcbi.1002373

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Baran, Halperin.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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-mers relative abundances and BMI can be corrected using the components proportions. Quantile-quantile curves comparing the uniform distribution to the distribution of the p-values for association between all -mers and BMI within the Danish samples. The uncorrected p-values are highly deflated (black), indicating that the abundance of many -mers is correlated with BMI. However, when the components proportions are added the the regression equation (red), the correlation disappears for most -mers.

Inline graphic — -mers relative abundances and BMI can be corrected using the components proportions. Quantile-quantile curves comparing the uniform distribution to the distribution of the p-values for association between all -mers and BMI within the Danish samples. The uncorrected p-values are highly deflated (black), indicating that the abundance of many -mers is correlated with BMI. However, when the components proportions are added the the regression equation (red), the correlation disappears for most -mers.