The overarching goal of this study is the development of a framework to identify causal regulatory mutations in patients with serious neuropsychiatric presentations through the paired analyses of whole genome sequence and high resolution RNA sequence data from both accessible primary cells (PBMC and buccal cells) and reprogrammed neuronal cells from the same patients. The latter constitutes a particularly exciting opportunity as it will allow us to assay gene expression during different developmental stages of previously inaccessible cell types of much greater relevance to patient phenotype than the circulating cells DNA studies are customarily performed on. Specifically, we will interpret the effects of the regulatory variants in different developmental stages of the reprogrammed neuronal and other cells of interest with a comparison to the PBMC and buccal cells helping to interpret the specificity or generality of the relevant effects in different tissues. These analyses will focus nt only on mapping cis- and trans-acting eQTLs, but will also deploy new variant prioritization schemes that integrate knowledge of regulatory regions of the genome through ENCODE and related efforts as well as population genetic data. While an explicit aim of the work is to identif regulatory variants influencing risk of schizophrenia and autism, we emphasize that this work has primarily the broader goal of the development of appropriate frameworks for the eventual identification of such mutations, which inevitably will require substantially larger sample sizes that currently feasible to facilitate systematic discovery.
This project will establish a paradigm by which rare, non-coding DNA variation can begin to be robustly evaluated for a role in severe neurodevelopmental and Mendelian disease. This in turn may lead to the development of specific tests to improve the diagnosis of such disorders and may point to novel therapeutic targets to improve treatment options.
| Werling, Donna M; Brand, Harrison; An, Joon-Yong et al. (2018) An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder. Nat Genet 50:727-736 |
| An, Joon-Yong; Lin, Kevin; Zhu, Lingxue et al. (2018) Genome-wide de novo risk score implicates promoter variation in autism spectrum disorder. Science 362: |
| Willsey, A Jeremy; Morris, Montana T; Wang, Sheng et al. (2018) The Psychiatric Cell Map Initiative: A Convergent Systems Biological Approach to Illuminating Key Molecular Pathways in Neuropsychiatric Disorders. Cell 174:505-520 |
| Sanders, Stephan J; Neale, Benjamin M; Huang, Hailiang et al. (2017) Whole genome sequencing in psychiatric disorders: the WGSPD consortium. Nat Neurosci 20:1661-1668 |
