Project description DEENESFRITPL Statistical tools help reveal relationships between omics data and traits Scientists collect groups of -omic data to better understand the evolution of traits over time. Genomics, for example, is the study of the entire genome or all the genes of an organism, and transcriptomics is the study of the transcriptome, the complete set of RNA transcripts produced by the genome. Researchers then analyse both these datasets with traits of interest measured over time in long-term studies. The EU-funded ISULO project is developing advanced statistical methods to simultaneously analyse these two types of data as well as explore the interrelationships among -omic data sets for important new insights into evolution. Show the project objective Hide the project objective Objective In medicine and agronomy, there is a growing interest in identifying biological mechanisms involved in the evolution of traits along time. Nowadays, this challenging objective is achieved through the acquisition of high-dimensional –omic datasets from various biological levels, and with the collection of phenotype measures along time on the same individuals, so-called longitudinal data. A new research focus is emerging with the objective to analyze jointly these two types of data. In this project, we propose to develop innovative statistical methods to simultaneously analyze these types of data and to deal with their respective characteristics. Novel methodologies will be developed by combining statistical concepts from linear mixed model and variable selection in a Bayesian framework, and by incorporating or inferring biological relationships. The first aim will focus on the analysis of one or more longitudinal outcomes with one –omic data. Flexible modeling for approximating time-varying covariate effects combined with variable selection approaches will be proposed. Thus, a better understanding of the relationships along time between the outcomes and the relevant covariates will be reached. The second objective is to investigate the integration of multiple –omic datasets for explaining one univariate outcome, then one longitudinal response variable, and finally multivariate longitudinal outcomes. Bayesian hierarchical modeling with prior distributions allowing to capture relationships among –omic datasets will be investigated and new relationships among –omic datasets will be explored. The developments and findings of this project research will greatly contribute to the statistical and biological domains. New generic statistical methods will be developed and will be available for transversal applications in various fields. Finally, this project will highlight the added value brought by a collaborative and interdisciplinary work with experienced researchers. Fields of science agricultural sciencesagriculture, forestry, and fisheriesagricultureagronomy Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2018 - Individual Fellowships Call for proposal H2020-MSCA-IF-2018 See other projects for this call Funding Scheme MSCA-IF-GF - Global Fellowships Coordinator CENTRE DE COOPERATION INTERNATIONALE EN RECHERCHE AGRONOMIQUE POUR LEDEVELOPPEMENT - C.I.R.A.D. EPIC Net EU contribution € 275 619,84 Address Rue scheffer 42 75016 Paris France See on map Region Ile-de-France Ile-de-France Paris Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Partners (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all Partner Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement. GEORGETOWN UNIVERSITY NON PROFIT CORPORATION United States Net EU contribution € 0,00 Address 37th & o street nw 20057 Washington dc See on map Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 177 265,92
