Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

Better analytical methods are needed to extract biological meaning from genome-wide association studies (GWAS) of psychiatric disorders. Here the authors take GWAS data from over 60,000 subjects, including patients with schizophrenia, bipolar disorder and major depression, and identify common etiolo...

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Veröffentlicht in:Nature neuroscience 2015-02, Vol.18 (2), p.199-209
Hauptverfasser: O'Dushlaine, C., Rossin, L., Lee P., H., Duncan, L., Parikshak N., N., Newhouse, S., Ripke, S., Neale B., M., Purcell S., M., Posthuma, D., Nurnberger J., I., Lee S., H., Faraone S., V., Perlis R., H., Mowry B., J., Thapar, A., Goddard M., E., Witte J., S., Absher, D., Agartz, I., Akil, H., Amin, F., Andreassen O., A., Anjorin, A., Anney, R., Anttila, V., Arking D., E., Asherson, P., Azevedo M., H., Backlund, L., Badner J., A., Bailey A., J., Banaschewski, T., Barchas J., D., Barnes M., R., Barrett T., B., Bass, N., Battaglia, A., Bauer, M., Bayés, M., Bellivier, F., Bergen S., E., Berrettini, W., Betancur, Catalina, Bettecken, T., Biederman, J., Binder E., B., Black D., W., Blackwood D., H., Bloss C., S., Boehnke, M., Boomsma D., I., Breuer, R., Bruggeman, R., Cormican, P., Buccola N., G., Buitelaar J., K., Bunney W., E., Buxbaum J., D., Byerley W., F., Byrne E., M., Caesar, S., Cahn, W., Cantor R., M., Casas, M., Chakravarti, A., Chambert, K., Choudhury, K., Cichon, S., Mattheisen, M., Cloninger C., R., Collier D., A., Cook E., H., Coon, H., Cormand, B., Corvin, A., Coryell W., H., Craig D., W., Craig I., W., Crosbie, J., Cuccaro M., L., Curtis, D., Czamara, D., Datta, S., Dawson, G., Day, R., de Geus E., J., Degenhardt, F., Djurovic, S., Donohoe G., J., Doyle A., E., Duan, J., Dudbridge, F., Duketis, E., Ebstein R., P., Edenberg H., J., Elia, J., Ennis, S., Etain, B., Fanous, F.
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Sprache:eng
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Zusammenfassung:Better analytical methods are needed to extract biological meaning from genome-wide association studies (GWAS) of psychiatric disorders. Here the authors take GWAS data from over 60,000 subjects, including patients with schizophrenia, bipolar disorder and major depression, and identify common etiological pathways shared amongst them. Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from over 60,000 participants from the Psychiatric Genomics Consortium. We developed an analysis framework to rank pathways that requires only summary statistics. We combined this score across disorders to find common pathways across three adult psychiatric disorders: schizophrenia, major depression and bipolar disorder. Histone methylation processes showed the strongest association, and we also found statistically significant evidence for associations with multiple immune and neuronal signaling pathways and with the postsynaptic density. Our study indicates that risk variants for psychiatric disorders aggregate in particular biological pathways and that these pathways are frequently shared between disorders. Our results confirm known mechanisms and suggest several novel insights into the etiology of psychiatric disorders.
ISSN:1097-6256
1546-1726
1546-1726
DOI:10.1038/nn.3922