<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Lam M</submitter><funding>NIDCR NIH HHS</funding><funding>NCATS NIH HHS</funding><funding>NIA NIH HHS</funding><funding>NIDA NIH HHS</funding><funding>NCRR NIH HHS</funding><funding>NIDDK NIH HHS</funding><funding>Medical Research Council</funding><funding>NHLBI NIH HHS</funding><funding>NIMH NIH HHS</funding><funding>NIAAA NIH HHS</funding><funding>NINDS NIH HHS</funding><funding>Biotechnology and Biological Sciences Research Council</funding><pagination>2597-2613</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5789458</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>21(9)</volume><pubmed_abstract>Here, we present a large (n = 107,207) genome-wide association study (GWAS) of general cognitive ability ("g"), further enhanced by combining results with a large-scale GWAS of educational attainment. We identified 70 independent genomic loci associated with general cognitive ability. Results showed significant enrichment for genes causing Mendelian disorders with an intellectual disability phenotype. Competitive pathway analysis implicated the biological processes of neurogenesis and synaptic regulation, as well as the gene targets of two pharmacologic agents: cinnarizine, a T-type calcium channel blocker, and LY97241, a potassium channel inhibitor. Transcriptome-wide and epigenome-wide analysis revealed that the implicated loci were enriched for genes expressed across all brain regions (most strongly in the cerebellum). Enrichment was exclusive to genes expressed in neurons but not oligodendrocytes or astrocytes. Finally, we report genetic correlations between cognitive ability and disparate phenotypes including psychiatric disorders, several autoimmune disorders, longevity, and maternal age at first birth.</pubmed_abstract><journal>Cell reports</journal><pubmed_title>Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets.</pubmed_title><pmcid>PMC5789458</pmcid><funding_grant_id>N01 HC085084</funding_grant_id><funding_grant_id>G1001245</funding_grant_id><funding_grant_id>R01 MH079800</funding_grant_id><funding_grant_id>R01 AA009367</funding_grant_id><funding_grant_id>N01 HC085085</funding_grant_id><funding_grant_id>R01 AA011886</funding_grant_id><funding_grant_id>R01 MH080912</funding_grant_id><funding_grant_id>R01 AG023629</funding_grant_id><funding_grant_id>G0900753</funding_grant_id><funding_grant_id>G0700704</funding_grant_id><funding_grant_id>U01 AG023746</funding_grant_id><funding_grant_id>R01 HL085251</funding_grant_id><funding_grant_id>N01HC25195</funding_grant_id><funding_grant_id>G0901461</funding_grant_id><funding_grant_id>N01HC75150</funding_grant_id><funding_grant_id>HHSN268201500001C</funding_grant_id><funding_grant_id>BB/F019394/1</funding_grant_id><funding_grant_id>UL1 TR000124</funding_grant_id><funding_grant_id>RC2 MH089983</funding_grant_id><funding_grant_id>MR/K026992/1</funding_grant_id><funding_grant_id>P50 MH080173</funding_grant_id><funding_grant_id>HHSN268200800007C</funding_grant_id><funding_grant_id>MR/K002279/1</funding_grant_id><funding_grant_id>UL1 DE019580</funding_grant_id><funding_grant_id>U01 DA024417</funding_grant_id><funding_grant_id>R37 DA005147</funding_grant_id><funding_grant_id>K23 MH077807</funding_grant_id><funding_grant_id>N01HC85079</funding_grant_id><funding_grant_id>P30 DK063491</funding_grant_id><funding_grant_id>R01 MH092515</funding_grant_id><funding_grant_id>HHSN268201500001I</funding_grant_id><funding_grant_id>R01 AG049789</funding_grant_id><funding_grant_id>RL1 DA024853</funding_grant_id><funding_grant_id>PL1 NS062410</funding_grant_id><funding_grant_id>U01 HL080295</funding_grant_id><funding_grant_id>UL1 RR033176</funding_grant_id><funding_grant_id>N01HC85081</funding_grant_id><funding_grant_id>N01HC85082</funding_grant_id><funding_grant_id>N01HC85080</funding_grant_id><funding_grant_id>HHSN268201200036C</funding_grant_id><funding_grant_id>N01HC85086</funding_grant_id><funding_grant_id>N01 HC035129</funding_grant_id><funding_grant_id>N01HC85083</funding_grant_id><funding_grant_id>G0600237</funding_grant_id><funding_grant_id>R01 DA013240</funding_grant_id><funding_grant_id>R01 MH100141</funding_grant_id><funding_grant_id>R01 MH066140</funding_grant_id><funding_grant_id>R01 HL087652</funding_grant_id><funding_grant_id>RC2 MH089924</funding_grant_id><funding_grant_id>K01 MH098126</funding_grant_id><funding_grant_id>K01 MH085812</funding_grant_id><funding_grant_id>N01 HC015103</funding_grant_id><funding_grant_id>R01 MH085018</funding_grant_id><funding_grant_id>R01 DA033369</funding_grant_id><funding_grant_id>N01HC55222</funding_grant_id><funding_grant_id>PL1 MH083271</funding_grant_id><funding_grant_id>N02HL64278</funding_grant_id><funding_grant_id>BB/F022441/1</funding_grant_id><funding_grant_id>RL1 MH083269</funding_grant_id><funding_grant_id>N01HC65226</funding_grant_id><funding_grant_id>R01 HL105756</funding_grant_id><funding_grant_id>N01 HC045133</funding_grant_id><funding_grant_id>G0100594</funding_grant_id><pubmed_authors>Payton A</pubmed_authors><pubmed_authors>Conley ED</pubmed_authors><pubmed_authors>Gill M</pubmed_authors><pubmed_authors>Palotie A</pubmed_authors><pubmed_authors>Lencz T</pubmed_authors><pubmed_authors>Hariri AR</pubmed_authors><pubmed_authors>Andreassen OA</pubmed_authors><pubmed_authors>Deary IJ</pubmed_authors><pubmed_authors>Espeseth T</pubmed_authors><pubmed_authors>Konte B</pubmed_authors><pubmed_authors>Bitsios P</pubmed_authors><pubmed_authors>Lahti J</pubmed_authors><pubmed_authors>Scult MA</pubmed_authors><pubmed_authors>Roussos P</pubmed_authors><pubmed_authors>Pendleton N</pubmed_authors><pubmed_authors>Knowles E</pubmed_authors><pubmed_authors>Melle I</pubmed_authors><pubmed_authors>Christoforou A</pubmed_authors><pubmed_authors>Donohoe G</pubmed_authors><pubmed_authors>Corvin A</pubmed_authors><pubmed_authors>Stefanis NC</pubmed_authors><pubmed_authors>Eriksson JG</pubmed_authors><pubmed_authors>Reinvang I</pubmed_authors><pubmed_authors>Poldrack RA</pubmed_authors><pubmed_authors>Smyrnis N</pubmed_authors><pubmed_authors>Davies G</pubmed_authors><pubmed_authors>Keller MC</pubmed_authors><pubmed_authors>Ollier W</pubmed_authors><pubmed_authors>Sabb FW</pubmed_authors><pubmed_authors>DeRosse P</pubmed_authors><pubmed_authors>Voineskos AN</pubmed_authors><pubmed_authors>Chiba-Falek O</pubmed_authors><pubmed_authors>Bilder RM</pubmed_authors><pubmed_authors>Attix DK</pubmed_authors><pubmed_authors>Hatzimanolis A</pubmed_authors><pubmed_authors>Avramopoulos D</pubmed_authors><pubmed_authors>London E</pubmed_authors><pubmed_authors>Yu J</pubmed_authors><pubmed_authors>Giakoumaki S</pubmed_authors><pubmed_authors>Burdick KE</pubmed_authors><pubmed_authors>Liewald DC</pubmed_authors><pubmed_authors>Straub RE</pubmed_authors><pubmed_authors>Djurovic S</pubmed_authors><pubmed_authors>Lundervold AJ</pubmed_authors><pubmed_authors>Widen E</pubmed_authors><pubmed_authors>Dickinson D</pubmed_authors><pubmed_authors>Glahn DC</pubmed_authors><pubmed_authors>Freimer NA</pubmed_authors><pubmed_authors>Morris D</pubmed_authors><pubmed_authors>Steen VM</pubmed_authors><pubmed_authors>Malhotra AK</pubmed_authors><pubmed_authors>Raikkonen K</pubmed_authors><pubmed_authors>Giegling I</pubmed_authors><pubmed_authors>Rujescu D</pubmed_authors><pubmed_authors>Need AC</pubmed_authors><pubmed_authors>Sundet K</pubmed_authors><pubmed_authors>Arking DE</pubmed_authors><pubmed_authors>Congdon E</pubmed_authors><pubmed_authors>Starr JM</pubmed_authors><pubmed_authors>Le Hellard S</pubmed_authors><pubmed_authors>Lam M</pubmed_authors><pubmed_authors>Cirulli ET</pubmed_authors><pubmed_authors>Weinberger DR</pubmed_authors><pubmed_authors>Trampush JW</pubmed_authors><pubmed_authors>Cannon TD</pubmed_authors></additional><is_claimable>false</is_claimable><name>Large-Scale Cognitive GWAS Meta-Analysis Reveals Tissue-Specific Neural Expression and Potential Nootropic Drug Targets.</name><description>Here, we present a large (n = 107,207) genome-wide association study (GWAS) of general cognitive ability ("g"), further enhanced by combining results with a large-scale GWAS of educational attainment. We identified 70 independent genomic loci associated with general cognitive ability. Results showed significant enrichment for genes causing Mendelian disorders with an intellectual disability phenotype. Competitive pathway analysis implicated the biological processes of neurogenesis and synaptic regulation, as well as the gene targets of two pharmacologic agents: cinnarizine, a T-type calcium channel blocker, and LY97241, a potassium channel inhibitor. Transcriptome-wide and epigenome-wide analysis revealed that the implicated loci were enriched for genes expressed across all brain regions (most strongly in the cerebellum). Enrichment was exclusive to genes expressed in neurons but not oligodendrocytes or astrocytes. Finally, we report genetic correlations between cognitive ability and disparate phenotypes including psychiatric disorders, several autoimmune disorders, longevity, and maternal age at first birth.</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Nov</publication><modification>2021-02-20T02:16:28Z</modification><creation>2019-03-26T22:59:32Z</creation></dates><accession>S-EPMC5789458</accession><cross_references><pubmed>29186694</pubmed><doi>10.1016/j.celrep.2017.11.028</doi></cross_references></HashMap>