NCT00001174 In order to better interpret the impact of genetic variation on the brain biology of bipolar disorder, we are pursuing a variety of functional genomics studies, including brain imaging, RNA-sequencing in post-mortem brain tissue, and cellular phenotyping of neurons derived from induced pluripotent stem cells. Current neuroimaging genetics work is focused on magnetic resonance imaging. We have contributed genotypes and imaging data to the Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) brain imaging consortium, which brings together imaging and genetics data from around the world in order to generate the large sample sizes needed for robust results. In addition, enrollees in our ongoing genetic study of BD in people of Anabaptist ancestry (ZIA-MH002843-14) are referred to UMD where they undergo diffusion tensor imaging as part of the ongoing Amish Connectome Study. Neuroimaging endophenotypes may shed light on the mechanisms whereby common genetic variants influence risk for a variety of psychiatric disorders. Following upon published pilot studies, this year we completed RNA-sequencing in an additional 200 postmortem brain samples obtained from people with and without major psychiatric disorders. This study focused on the subgenual anterior cingulate cortex, implicated in people with mood disorders. Gene-level and transcript-level analyses, recently completed, point to a major role for alternative splicing in differentiating major psychiatric disorders (BD, schizophrenia and major depression). Gene co-expression analysis highlights immune-related genes and pathways which are specifically expressed in microglia. Ongoing studies in this sample include validation of differentially expressed genes and transcripts, along with expression quantitative trait (eQTL) and splicing QTL analyses aimed at linking genetic variants found by genetic association studies with particular genes. In the coming year, we plan to increase the resolution of gene expression in postmortem brain to the single-cell level, using new techniques that facilitate capture and RNA sequencing of individual cell nuclei isolated from frozen tissue. This project will help us identify the cell-type specific genes and transcripts that are dysregulated in the brains of people with mental illness. We also seek to model the functional genomics of disease-related genes in cells derived from induced pluripotent stem cell (iPSC) lines. iPSC-derived neural progenitor cells (NPCs) provide a renewable cellular template to conduct various investigations into disease-associated features and mechanisms at the early stage of neuronal development. This project aims to explore the ways in which we can use iPSC technology to study the biological impact of genes and genetic mutations that we identify in our other ongoing studies. Working with the NIH Center for Regenerative Medicine, the National Institute of Neurological Disorders and Stroke (NINDS) and the National Heart, Lung and Blood Institute (NHLBI) stem cell cores we have so far successfully reprogrammed fibroblasts into iPSCs from 15 individuals ascertained in our ongoing family studies of bipolar disorder. We are growing the cells into neural progenitor cells, neurons, and glia. These cells are then studied with high-resolution microscopic imaging, electrophysiology, and gene expression methods. These data could reveal differences between control and patient-derived cells and the impact of known and novel therapeutic agents. In the coming year, we plan to expand our iPSC lines from additional families. In collaboration with Joseph Steiner (NINDS), we are developing a morphologic assay to measure the effect of known therapeutics and stressors on dendritic number and length following differentiation of NPCs into neurons. We are also exploring ways to measure the functional impact of genetic mutations at the cellular level and to use genome editing tools such as CRISPR-Cas9 to rescue cellular phenotypes and establish a causal role for specific genetic mutations. We also plan to apply single-cell sequencing technology to iPSC-derived cells in order to explore the diversity of gene sequence and expression across individual cells from the same donor, which can be an important source of variation in human iPSC studies. The above approaches may illuminate important features that contribute to disruption of biological mechanisms during the disease process and provide reproducible assays for high throughput screening for novel therapeutics. Multigenic disorders such as BD pose special challenges for experimental studies, since a single causative mutation is usually not identifiable. For this reason, We are also studying rare, single-gene disorders whose symptoms overlap with those seen in more common mental illnesses. Smith-Magenis syndrome (SMS) is a neurodevelopmental disorder characterized by behavioral abnormalities and disruptions in circadian rhythm. The majority of SMS cases are caused by small deletions of chromosome 17, but a few very rare cases are caused by single mutations in RAI1, a gene located within the deleted region. Study samples that carry an established single gene defect permit gene editing for comparative studies between cells with and without the causative mutation. Skin cells from people living with SMS obtained in collaboration with Ann Smith (NHGRI), the co-discoverer of SMS, have been reprogrammed into iPSCs. These will be differentiated into neurons and other brain cells in the coming year. Findings from this study may have relevance to other neuropsychiatric disorders with circadian rhythm disturbances, such as depression and BD.

Project Start
Project End
Budget Start
Budget End
Support Year
15
Fiscal Year
2017
Total Cost
Indirect Cost
Name
U.S. National Institute of Mental Health
Department
Type
DUNS #
City
State
Country
Zip Code
Reinbold, CĂ©line S; Forstner, Andreas J; Hecker, Julian et al. (2018) Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder. Front Psychiatry 9:207
Hibar, Derrek P (see original citation for additional authors) (2017) Novel genetic loci associated with hippocampal volume. Nat Commun 8:13624
Hou, Liping; Heilbronner, Urs; Degenhardt, Franziska et al. (2016) Genetic variants associated with response to lithium treatment in bipolar disorder: a genome-wide association study. Lancet 387:1085-1093
Hou, Liping; Bergen, Sarah E; Akula, Nirmala et al. (2016) Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder. Hum Mol Genet 25:3383-3394
McMahon, Francis J (2016) Genetic association studies in psychiatry: time for pay-off. Lancet Psychiatry 3:309-10
Akula, Nirmala; Wendland, Jens R; Choi, Kwang H et al. (2016) An Integrative Genomic Study Implicates the Postsynaptic Density in the Pathogenesis of Bipolar Disorder. Neuropsychopharmacology 41:886-95
Adams, Hieab H H (see original citation for additional authors) (2016) Novel genetic loci underlying human intracranial volume identified through genome-wide association. Nat Neurosci 19:1569-1582
Franke, Barbara; Stein, Jason L; Ripke, Stephan et al. (2016) Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept. Nat Neurosci 19:420-431
Geoffroy, P A; Etain, B; Lajnef, M et al. (2016) Circadian genes and lithium response in bipolar disorders: associations with PPARGC1A (PGC-1?) and RORA. Genes Brain Behav 15:660-8
Andreassen, O A; Harbo, H F; Wang, Y et al. (2015) Genetic pleiotropy between multiple sclerosis and schizophrenia but not bipolar disorder: differential involvement of immune-related gene loci. Mol Psychiatry 20:207-14

Showing the most recent 10 out of 47 publications