University of Bonn, Germany
Mihaela Pricop-Jeckstadt is working as biostatistician in the Department of Nutrition and Food Sciences at the University of Bonn. She graduated from the University of Bucharest with a major in Mathematics and got her PhD in Statistics from the University of Gottingen in 2007. Her research interests consist of developing and studying statistical methods for identifying associations between nutritional and "omics" data.
In this talk we present several statistical approaches applied until now in the study of the gut microbiome-diet association and deploy them to analyze the PopGen cohort (see (1)). Taxa abundances and phylogenetic tree deduced out of the microbial metagenomics data are used to characterize the microbiome diversity, while nutritional data consists of the habitual dietary intake. High-dimensionality, sparsity, heterogeneity and dependency of the data enforce the use of the regularization methods to identify taxon-diet intake associations (see (2)). On the other hand, food pattern-gut microbial enterotype relationship could be identified with the help of ordination and classification methods (see (3), (4)). Finally, these statistical methods serve to detect microbiome-food intake connections after taking in con-sideration different lifestyle and demographics data from the PopGen cohort.