Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41386-021-01023-4
Title: Identifying nootropic drug targets via large-scale cognitive GWAS and transcriptomics
Authors: Lam, Max
Chen, Chia-Yen
Ge, Tian
Xia, Yan
Hill, David W.
Trampush, Joey W.
Yu, Jin
Knowles, Emma
Davies, Gail
Stahl, Eli A.
Huckins, Laura
Liewald, David C.
Djurovic, Srdjan
Melle, Ingrid
Christoforou, Andrea
Reinvang, Ivar
Derosse, Pamela
Lundervold, Astri J.
Steen, Vidar M.
Espeseth, Thomas
Räikkönen, K.
Widen, Elisabeth
Palotie, Aarno
Eriksson, Johan G. 
Giegling, Ina
Konte, Bettina
Hartmann, Annette M.
Roussos, Panos
Giakoumaki, Stella
Burdick, Katherine E.
Payton, Antony
Ollier, William
Chiba-Falek, Ornit
Koltai, Deborah C.
Need, Anna C.
Cirulli, Elizabeth T.
Voineskos, Aristotle N.
Stefanis, Nikos C.
Avramopoulos, Dimitrios
Hatzimanolis, Alex
Smyrnis, Nikolaos
Bilder, Robert M.
Freimer, Nelson B.
Cannon, Tyrone D.
London, Edythe
Poldrack, Russell A.
Sabb, Fred W.
Congdon, Eliza
Conley, Emily Drabant
Scult, Matthew A.
Dickinson, Dwight
Straub, Richard E.
Donohoe, Gary
Morris, Derek
Corvin, Aiden
Gill, Michael
Hariri, Ahmad R.
Weinberger, Daniel R.
Pendleton, Neil
Bitsios, Panos
Rujescu, Dan
Lahti, Jari
Le Hellard, S.
Keller, Matthew C.
Andreassen, Ole A.
Deary, Ian J.
Glahn, David C.
Huang, Hailiang
Liu, Chunyu
Malhotra, Anil K.
Lencz, Todd
Issue Date: 25-May-2021
Publisher: Springer Nature
Citation: Lam, Max, Chen, Chia-Yen, Ge, Tian, Xia, Yan, Hill, David W., Trampush, Joey W., Yu, Jin, Knowles, Emma, Davies, Gail, Stahl, Eli A., Huckins, Laura, Liewald, David C., Djurovic, Srdjan, Melle, Ingrid, Christoforou, Andrea, Reinvang, Ivar, Derosse, Pamela, Lundervold, Astri J., Steen, Vidar M., Espeseth, Thomas, Räikkönen, K., Widen, Elisabeth, Palotie, Aarno, Eriksson, Johan G., Giegling, Ina, Konte, Bettina, Hartmann, Annette M., Roussos, Panos, Giakoumaki, Stella, Burdick, Katherine E., Payton, Antony, Ollier, William, Chiba-Falek, Ornit, Koltai, Deborah C., Need, Anna C., Cirulli, Elizabeth T., Voineskos, Aristotle N., Stefanis, Nikos C., Avramopoulos, Dimitrios, Hatzimanolis, Alex, Smyrnis, Nikolaos, Bilder, Robert M., Freimer, Nelson B., Cannon, Tyrone D., London, Edythe, Poldrack, Russell A., Sabb, Fred W., Congdon, Eliza, Conley, Emily Drabant, Scult, Matthew A., Dickinson, Dwight, Straub, Richard E., Donohoe, Gary, Morris, Derek, Corvin, Aiden, Gill, Michael, Hariri, Ahmad R., Weinberger, Daniel R., Pendleton, Neil, Bitsios, Panos, Rujescu, Dan, Lahti, Jari, Le Hellard, S., Keller, Matthew C., Andreassen, Ole A., Deary, Ian J., Glahn, David C., Huang, Hailiang, Liu, Chunyu, Malhotra, Anil K., Lencz, Todd (2021-05-25). Identifying nootropic drug targets via large-scale cognitive GWAS and transcriptomics. Neuropsychopharmacology 46 (10) : 1788-1801. ScholarBank@NUS Repository. https://doi.org/10.1038/s41386-021-01023-4
Rights: Attribution 4.0 International
Abstract: Broad-based cognitive deficits are an enduring and disabling symptom for many patients with severe mental illness, and these impairments are inadequately addressed by current medications. While novel drug targets for schizophrenia and depression have emerged from recent large-scale genome-wide association studies (GWAS) of these psychiatric disorders, GWAS of general cognitive ability can suggest potential targets for nootropic drug repurposing. Here, we (1) meta-analyze results from two recent cognitive GWAS to further enhance power for locus discovery; (2) employ several complementary transcriptomic methods to identify genes in these loci that are credibly associated with cognition; and (3) further annotate the resulting genes using multiple chemoinformatic databases to identify “druggable” targets. Using our meta-analytic data set (N = 373,617), we identified 241 independent cognition-associated loci (29 novel), and 76 genes were identified by 2 or more methods of gene identification. Actin and chromatin binding gene sets were identified as novel pathways that could be targeted via drug repurposing. Leveraging our transcriptomic and chemoinformatic databases, we identified 16 putative genes targeted by existing drugs potentially available for cognitive repurposing. © 2021, The Author(s).
Source Title: Neuropsychopharmacology
URI: https://scholarbank.nus.edu.sg/handle/10635/232912
ISSN: 0893-133X
DOI: 10.1038/s41386-021-01023-4
Rights: Attribution 4.0 International
Appears in Collections:Staff Publications

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