| Literature DB >> 29439242 |
Michael J Gandal, Jillian R Haney, Neelroop N Parikshak, Virpi Leppa, Gokul Ramaswami, Chris Hartl, Andrew J Schork, Vivek Appadurai, Alfonso Buil, Thomas M Werge, Chunyu Liu, Kevin P White, Steve Horvath, Daniel H Geschwind.
Abstract
The predisposition to neuropsychiatric disease involves a complex, polygenic, and pleiotropic genetic architecture. However, little is known about how genetic variants impart brain dysfunction or pathology. We used transcriptomic profiling as a quantitative readout of molecular brain-based phenotypes across five major psychiatric disorders-autism, schizophrenia, bipolar disorder, depression, and alcoholism-compared with matched controls. We identified patterns of shared and distinct gene-expression perturbations across these conditions. The degree of sharing of transcriptional dysregulation is related to polygenic (single-nucleotide polymorphism-based) overlap across disorders, suggesting a substantial causal genetic component. This comprehensive systems-level view of the neurobiological architecture of major neuropsychiatric illness demonstrates pathways of molecular convergence and specificity.Entities:
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Year: 2018 PMID: 29439242 PMCID: PMC5898828 DOI: 10.1126/science.aad6469
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728