Genetic and Diagnostic Biomarker Development in ASD Toddlers Using Resting State Functional MRI
Annual rept. 1 Sep 2014-31 Aug 2015
YALE UNIV NEW HAVEN CT
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Our overarching strategy is to exploit three large neuroimagingneurobehavioral datasets to identify brain-imaging based biomarkers for Autism Spectrum Disorders ASD. At Yale, we focus on determining if brain networks are influenced by genetic factors and if these genetic factors also influence other traits associated with ASD. Specifically, we will provide heritability estimates and test for pleitropy between putative ASD functional and structural networks and cognitive and behavioral traits. To demonstrate the feasibility of this analytic approach, we conducted an initial analysis with over 250 seed regions simultaneously to provide measures of brain connectivity within 14 previously derived functional networks. Next, we estimated heritability for these structural and functional networks, examined the co-heritability between different modalities e.g. function and structure and searched the genome for chromosomal loci influencing these networks. We demonstrated that many of these intrinsic brain networks are heritable, that different genetic factors influence brain function and structure and localized a number of chromosomal regions that harbor genes influencing brain connectivity. These findings, which were presented at the annual meeting of the Organization for Human Brain Mapping, clearly demonstrate our ability to conduct similar analyses with ASD specific networks, one these are identified in the BrainMap and ACE datasets.
- Genetic Engineering and Molecular Biology
- Anatomy and Physiology
- Medicine and Medical Research