Large-Scale cognitive GWAS Meta-analysis Reveals Tissue-Specific Neural Expression and Potential Nootopic Drug Targets
Max LamiD, Joey W. TrampushiD, Jin YuiD, Emma Knowles, Gail DaviesiD, David C M LiewaldiD, John M. StarriD, Srdjan DjuroviciD, Ingrid Melle, Kjetil S. SundetiD, Andrea Christoforou, Ivar Reinvang, Pamela DeRosseiD, Astri Johansen LundervoldiD, Vidar Martin SteeniD, Thomas EspesethiD, Katri RäikköneniD, Elisabeth WidéniD, Aarno V. PalotieiD, Johan Gunnar ErikssoniD, Ina GieglingiD, Bettina KonteiD, Panos RoussosiD, Stella G. GiakoumakiiD, Katherine E. BurdickiD, , Todd LencziD
Abstract
Neurocognitive ability is a fundamental readout of brain function, and cognitive deficits are a critical component of neuropsychiatric disorders, yet neurocognition is poorly understood at the molecular level. In the present report, we present the largest genome-wide association studies (GWAS) of cognitive ability to date (N=107,207), and further enhance signal by combining results with a large-scale GWAS of educational attainment. We identified 70 independent genomic loci associated with cognitive ability, 34 of which were novel. A total of 350 genes were implicated, and this list showed significant enrichment for genes associated with Mendelian disorders with an intellectual disability phenotype. Competitive pathway analysis of gene results implicated the biological process of neurogenesis, 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 analysis revealed that the implicated genes were strongly expressed in neurons, but not astrocytes or oligodendrocytes, and were more strongly associated with fetal brain expression than adult brain expression. Several tissue-specific gene expression relationships to cognitive ability were observed (for example, DAG1 levels in the hippocampus). Finally, we report novel genetic correlations between cognitive ability and disparate phenotypes such as maternal age at first birth and number of children, as well as several autoimmune disorders.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 126
- FWCI
- 10.14
- Field percentile
- top 1%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Identifying Nootropic Drug Targets via Large-Scale Cognitive GWAS and Transcriptomics
Max Lam, Chia‐Yen Chen, … Todd Lencz·NeuropsychopharmacologyPeer-reviewed·May 25, 2021
- GWAS meta-analysis (N=279,930) identifies new genes and functional links to intelligence
Jeanne E. Savage, Philip R. Jansen, … Lene Christiansen·Nature GeneticsPeer-reviewed·Jun 25, 2018
- Functional consequences of genetic loci associated with intelligence in a meta-analysis of 87,740 individuals
Jonathan R. I. Coleman, Julien Bryois, … Gerome D. Breen·Molecular PsychiatryPeer-reviewed·Mar 8, 2018
- Shared and distinct genetic influences between cognitive domains and psychiatric disorder risk based on genome-wide data
Caitlin E. Carey, Roger W. Strong, … Laura Thi Germine·Biological PsychiatryPeer-reviewed·Apr 27, 2021
- Investigating the Genetic Architecture of Non-Cognitive Skills Using GWAS-by-Subtraction
Perline Demange, Margherita Malanchini, … Michel Guillaume Nivard·Nature GeneticsPeer-reviewed·Jan 1, 2021
- GWAS of Over 427,000 Individuals Establishes GABAergic and Synaptic Molecular Pathways as Key for Cognitive Executive Functions
Alexander Samir Hatoum, Claire L. Morrison, … Naomi P. Friedman·Biological PsychiatryPeer-reviewed·Jan 1, 2023