Additional file 1 of Whole blood methylome-derived features to discriminate endocrine hypertension

Roberta Armignacco, Parminder S. Reel, Smarti Reel, Anne Jouinot, Amandine Septier, Cassandra Gaspar, Karine Perlemoine, Casper K. Larsen, Lucas Bouys, Leah Braun, Anna Riester, Matthias Kroiss, Fidéline Bonnet-Serrano, Laurence Amar, Anne Blanchard, Anne-Paule Gimenez-Roqueplo, Aleksander Prejbisz, Andrzej Januszewicz, Piotr Dobrowolski, Eleanor Davies, Scott M. MacKenzie, Gian Paolo Rossi, Livia Lenzini, Filippo Ceccato, Carla Scaroni … & Guillaume Assié
Additional file 1: Fig. S1. Components of variation in the whole methylome dataset. a) Scree plot representing the percentage of explained variability by the first five principal components of PCA performed on the whole dataset (n=731,635 CpG sites, n=255 samples). b) Singular value decomposition (SVD) plot assessing the correlation between the first five significant components of variation in the dataset and other biological factors of interest (Hypertension type –PHT, CS, PA, PPGL-, age, sex, cell...
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