
Cell Metabolism, Journal Year: 2021, Volume and Issue: 33(5), P. 923 - 938.e6
Published: March 1, 2021
Language: Английский
Cell Metabolism, Journal Year: 2021, Volume and Issue: 33(5), P. 923 - 938.e6
Published: March 1, 2021
Language: Английский
Cell, Journal Year: 2020, Volume and Issue: 180(3), P. 568 - 584.e23
Published: Jan. 23, 2020
Language: Английский
Citations
1908Nature, Journal Year: 2022, Volume and Issue: 604(7906), P. 502 - 508
Published: April 8, 2022
Language: Английский
Citations
1848Nature Genetics, Journal Year: 2021, Volume and Issue: 53(6), P. 817 - 829
Published: May 17, 2021
Language: Английский
Citations
1138Cell, Journal Year: 2019, Volume and Issue: 177(6), P. 1600 - 1618.e17
Published: May 1, 2019
Language: Английский
Citations
928Science, Journal Year: 2018, Volume and Issue: 362(6420)
Published: Dec. 13, 2018
Despite progress in defining genetic risk for psychiatric disorders, their molecular mechanisms remain elusive. Addressing this, the PsychENCODE Consortium has generated a comprehensive online resource adult brain across 1866 individuals. The contains ~79,000 brain-active enhancers, sets of Hi-C linkages, and topologically associating domains; single-cell expression profiles many cell types; quantitative-trait loci (QTLs); further QTLs associated with chromatin, splicing, cell-type proportions. Integration shows that varying proportions largely account cross-population variation (with >88% reconstruction accuracy). It also allows building gene regulatory network, linking genome-wide association study variants to genes (e.g., 321 schizophrenia). We embed this network into an interpretable deep-learning model, which improves disease prediction by ~6-fold versus polygenic scores identifies key pathways disorders.
Language: Английский
Citations
892Nature Neuroscience, Journal Year: 2021, Volume and Issue: 24(3), P. 425 - 436
Published: Feb. 8, 2021
Language: Английский
Citations
779World Psychiatry, Journal Year: 2020, Volume and Issue: 19(1), P. 15 - 33
Published: Jan. 10, 2020
Glutamate and dopamine systems play distinct roles in terms of neuronal signalling, yet both have been proposed to contribute significantly the pathophysiology schizophrenia. In this paper we assess research that has implicated aetiology disorder. We examine evidence from post‐mortem, preclinical, pharmacological vivo neuroimaging studies. Pharmacological preclinical studies implicate systems, imaging system consistently identified elevated striatal synthesis release capacity Imaging glutamate other aspects on produced less consistent findings, potentially due methodological limitations heterogeneity Converging indicates genetic environmental risk factors for schizophrenia underlie disruption glutamatergic dopaminergic function. However, while influences may directly dysfunction, few variants system, indicating aberrant signalling is likely be predominantly factors. discuss neural circuits through which two interact, how their cause psychotic symptoms. also mechanisms existing treatments operate, recent highlighted opportunities development novel therapies. Finally, consider outstanding questions field, including what remains unknown regarding nature function schizophrenia, needs achieved make progress developing new treatments.
Language: Английский
Citations
461Nature reviews. Neuroscience, Journal Year: 2019, Volume and Issue: 20(8), P. 451 - 465
Published: July 1, 2019
Language: Английский
Citations
449Cell, Journal Year: 2019, Volume and Issue: 177(1), P. 162 - 183
Published: March 1, 2019
Language: Английский
Citations
401Nature Genetics, Journal Year: 2023, Volume and Issue: 55(2), P. 198 - 208
Published: Jan. 26, 2023
Language: Английский
Citations
401