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Additional file 1 of Genomic history of the Italian population recapitulates key evolutionary dynamics of both Continental and Southern Europeans

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posted on 2020-05-22, 03:32 authored by Marco Sazzini, Paolo Abondio, Stefania Sarno, Guido Alberto Gnecchi-Ruscone, Matteo Ragno, Cristina Giuliani, Sara De Fanti, Claudia Ojeda-Granados, Alessio Boattini, Julien Marquis, Armand Valsesia, Jerome Carayol, Frederic Raymond, Chiara Pirazzini, Elena Marasco, Alberto Ferrarini, Luciano Xumerle, Sebastiano Collino, Daniela Mari, Beatrice Arosio, Daniela Monti, Giuseppe Passarino, Patrizia D’Aquila, Davide Pettener, Donata Luiselli, Gastone Castellani, Massimo Delledonne, Patrick Descombes, Claudio Franceschi, Paolo Garagnani
Additional file 1 : Figure S1. Procrustes analysis projecting genomic information summarized by first and second principal components onto geographic coordinates of Italian population samples. Figure S2. Decay of the length of chromosome chunks inherited by Italian population clusters from possible pairs of parental groups calculated with the GLOBETROTTER pipeline. Figure S3. PCA projecting variation of 559 ancient samples onto the genetic space defined by 239 individuals belonging to 40 modern Euro-Mediterranean populations. Figure S4. Outgroup f3 biplot comparing shared genetic drift between the N_ITA and S_ITA population clusters and, in turn, all ancient population groups included in the “modern + aDNA dataset”. Figure S5. Representation of the Insulin secretion pathway and of its components subjected to positive selection in the Italian population. Figure S6. Representation of the Mucin type O-glycan biosynthesis pathway and of its components subjected to positive selection in the S_ITA cluster. Figure S7. Representation of the Basal cell carcinoma pathway and of its components subjected to positive selection in the S_ITA cluster. Table S1. Admixture proportions inferred for N_ITA and S_ITA population clusters with the GLOBETROTTER method. Table S2. Admixture dates inferred for N_ITA and S_ITA population clusters with the GLOBETROTTER method. Table S3. Gene networks showing significant signatures of positive selection according to signet analysis performed on the obtained genome-wide distribution of DIND scores. Table S4. Gene networks showing significant signatures of positive selection according to signet analysis performed on the obtained genome-wide distribution of nSL scores. Table S5. Gene networks showing significant signatures of balancing selection according to signet analysis performed on the obtained genome-wide distribution of BALLET scores. Supplementary Results.

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Seventh Framework Programme Horizon 2020 Framework Programme JPco-fuND Ministry of Education and Science of the Russian Federation Italian Ministry of Education and Research

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