{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lam M"],"funding":["Medical Research Council","NIMH NIH HHS","Biotechnology and Biological Sciences Research Council"],"pagination":["334-350"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6699140"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["105(2)"],"pubmed_abstract":["Susceptibility to schizophrenia is inversely correlated with general cognitive ability at both the phenotypic and the genetic level. Paradoxically, a modest but consistent positive genetic correlation has been reported between schizophrenia and educational attainment, despite the strong positive genetic correlation between cognitive ability and educational attainment. Here we leverage published genome-wide association studies (GWASs) in cognitive ability, education, and schizophrenia to parse biological mechanisms underlying these results. Association analysis based on subsets (ASSET), a pleiotropic meta-analytic technique, allowed jointly associated loci to be identified and characterized. Specifically, we identified subsets of variants associated in the expected (\"concordant\") direction "],"journal":["American journal of human genetics"],"pubmed_title":["Pleiotropic Meta-Analysis of Cognition, Education, and Schizophrenia Differentiates Roles of Early Neurodevelopmental and Adult Synaptic Pathways."],"pmcid":["PMC6699140"],"funding_grant_id":["G0901461","R01 MH117646","L30 MH104879","BB/F019394/1","R01 MH085018","G0600237","BB/F022441/1","MR/K026992/1","R01 MH100141","G0100594"],"pubmed_authors":["Payton A","Hartmann AM","Conley ED","Gill M","Palotie A","Lencz T","Hariri AR","Andreassen OA","Deary IJ","Espeseth T","Konte B","Bitsios P","Lahti J","Scult MA","Roussos P","Pendleton N","Huckins L","Knowles E","Melle I","Christoforou A","Donohoe G","Corvin A","Stefanis NC","Eriksson JG","Reinvang I","Poldrack RA","Stahl E","Smyrnis N","Davies G","Keller MC","Ollier W","Sabb FW","DeRosse P","Voineskos AN","Chiba-Falek O","Bilder RM","Attix DK","Hatzimanolis A","Avramopoulos D","London E","Yu J","Giakoumaki S","Burdick KE","Liewald DC","Straub RE","Djurovic S","Lundervold AJ","Widen E","Dickinson D","Glahn DC","Freimer NA","Morris D","Steen VM","Malhotra AK","Raikkonen K","Giegling I","Rujescu D","Need AC","Sundet K","Arking DE","Congdon E","Le Hellard S","Lam M","Cirulli ET","Weinberger DR","Trampush JW","Hill WD","Cannon TD"],"additional_accession":[]},"is_claimable":false,"name":"Pleiotropic Meta-Analysis of Cognition, Education, and Schizophrenia Differentiates Roles of Early Neurodevelopmental and Adult Synaptic Pathways.","description":"Susceptibility to schizophrenia is inversely correlated with general cognitive ability at both the phenotypic and the genetic level. Paradoxically, a modest but consistent positive genetic correlation has been reported between schizophrenia and educational attainment, despite the strong positive genetic correlation between cognitive ability and educational attainment. Here we leverage published genome-wide association studies (GWASs) in cognitive ability, education, and schizophrenia to parse biological mechanisms underlying these results. Association analysis based on subsets (ASSET), a pleiotropic meta-analytic technique, allowed jointly associated loci to be identified and characterized. Specifically, we identified subsets of variants associated in the expected (\"concordant\") direction ","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Aug","modification":"2026-05-07T14:52:07.487Z","creation":"2021-02-19T20:33:07Z"},"accession":"S-EPMC6699140","cross_references":{"pubmed":["31374203"],"doi":["10.1016/j.ajhg.2019.06.012"]}}