The American Journal of Human GeneticsGeneticsPeer-reviewed journal article
Pleiotropic Meta-Analysis of Cognition, Education, and Schizophrenia Differentiates Roles of Early Neurodevelopmental and Adult Synaptic Pathways
Max LamiD, William David HilliD, Joey W. TrampushiD, Jin YuiD, Emma Knowles, Gail DaviesiD, Eli A. StahliD, Laura M. HuckinsiD, David C M LiewaldiD, Srdjan DjuroviciD, Ingrid Melle, Kjetil S. SundetiD, Andrea Christoforou, Ivar Reinvang, Pamela DeRosseiD, Astri Johansen LundervoldiD, Vidar M. Steen, Thomas EspesethiD, Katri RäikköneniD, Elisabeth WidéniD, Aarno V. PalotieiD, Johan Gunnar ErikssoniD, Ina GieglingiD, Bettina KonteiD, Annette M. HartmanniD, , Todd LencziD
Abstract
Liability to schizophrenia is inversely correlated with general cognitive ability at both the phenotypic and 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 GWAS 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 across all three phenotypes (i.e., greater risk for schizophrenia, lower cognitive ability, and lower educational attainment); these were contrasted with variants demonstrating the counterintuitive (\"Discordant\") relationship between education and schizophrenia (i.e., greater risk for schizophrenia and higher educational attainment). ASSET analysis revealed 235 independent loci associated with cognitive ability, education and/or schizophrenia at p<5x10-8. Pleiotropic analysis successfully identified more than 100 loci that were not significant in the input GWASs, and many of these have been validated by larger, more recent single-phenotype GWAS. Leveraging the joint genetic correlations of cognitive ability, education, and schizophrenia, we were able to dissociate two distinct biological mechanisms: early neurodevelopmental pathways that characterize concordant allelic variation, and adulthood synaptic pruning pathways that were linked to the paradoxical positive genetic association between education and schizophrenia. Further, genetic correlation analyses revealed that these mechanisms contribute not only to the etiopathogenesis of schizophrenia, but also to the broader biological dimensions that are implicated in both general health outcomes and psychiatric illness.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- research focus: fine-mapping
- research focus: polygenic risk
- approach: statistical model
- Citations
- 117
- FWCI
- 2.32
- Field percentile
- top 9%
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