Objective Autism spectrum disorders (ASD) affect 1-2% of the population and are a major public health issue. Heterogeneity between affected ASD individuals is substantial both at clinical and etiological levels, thus warranting the idea that we should begin characterizing the ASD population as multiple kinds of ‘autisms’. Without an advanced understanding of how heterogeneity manifests in ASD, it is likely that we will not make pronounced progress towards translational research goals that can have real impact on patient’s lives. This research program is focused on decomposing heterogeneity in ASD at multiple levels of analysis. Using multiple ‘big data’ resources that are both ‘broad’ (large sample size) and ‘deep’ (multiple levels of analysis measured within each individual), I will examine how known variables such as sex, early language development, early social preferences, and early intervention treatment response may be important stratification variables that differentiate ASD subgroups at phenotypic, neural systems/circuits, and genomic levels of analysis. In addition to examining known stratification variables, this research program will engage in data-driven discovery via application of advanced unsupervised computational techniques that can highlight novel multivariate distinctions in the data that signal important ASD subgroups. These data-driven approaches may hold promise for discovering novel ASD subgroups at biological and phenotypic levels of analysis that may be valuable for prioritization in future work developing personalized assessment, monitoring, and treatment strategies for subsets of the ASD population. By enhancing the precision of our understanding about multiple subtypes of ASD this work will help accelerate progress towards the ideals of personalized medicine and help to reduce the burden of ASD on individuals, families, and society. Fields of science medical and health scienceshealth sciencespublic healthnatural sciencescomputer and information sciencesdata sciencebig datamedical and health scienceshealth sciencespersonalized medicine Keywords autism precision medicine heterogeneity subtypes stratification development toddler connectome phenome big data brain gene expression fMRI clustering biomarker Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Topic(s) ERC-2017-STG - ERC Starting Grant Call for proposal ERC-2017-STG See other projects for this call Funding Scheme ERC-STG - Starting Grant Coordinator FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA Net EU contribution € 1 122 969,85 Address Via morego 30 16163 Genova Italy See on map Region Nord-Ovest Liguria Genova 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 Beneficiaries (3) Sort alphabetically Sort by Net EU contribution Expand all Collapse all FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA Italy Net EU contribution € 1 122 969,85 Address Via morego 30 16163 Genova See on map Region Nord-Ovest Liguria Genova 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 THE REGENTS OF THE UNIVERSITY OF CALIFORNIA United States Net EU contribution € 281 250,00 Address Franklin street 1111 12 floor 94607 Oakland ca 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 € 0,00 UNIVERSITY OF CYPRUS Participation ended Cyprus Net EU contribution € 95 224,15 Address Avenue panepistimiou 2109 aglantzi 1678 Nicosia See on map Region Κύπρος Κύπρος Κύπρος 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 € 0,00
