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- W3159804324 abstract "Spearman’s observation in 1904 that distinct cognitive functions—such as reasoning, processing speed, and episodic memory—are positively intercorrelated has given rise to over a century of speculation and investigation into their common and domain-specific mechanisms of variation. Here we develop and validate Transcriptome-wide Structural Equation Modeling (T-SEM), a novel method for studying the effects of tissue-specific gene expression within multivariate space. We apply T-SEM to investigate the shared and unique functional genomic characteristics of seven, distinct cognitive traits ( N = 11,263–331,679). We identify 184 genes associated with general cognitive function ( g ), including 10 novel genes not identified in univariate analysis for the individual cognitive traits. We go on to apply Stratified Genomic SEM to identify enrichment for g within 29 functional genomic categories. This includes categories indexing the intersection of protein-truncating variant intolerant (PI) genes and specific neuronal cell types, which we also find to be enriched for the genetic covariance between g and a psychotic disorders factor." @default.
- W3159804324 created "2021-05-10" @default.
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- W3159804324 date "2021-05-04" @default.
- W3159804324 modified "2023-10-16" @default.
- W3159804324 title "Transcriptome-wide and Stratified Genomic Structural Equation Modeling Identify Neurobiological Pathways Underlying General and Specific Cognitive Functions" @default.
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- W3159804324 doi "https://doi.org/10.1101/2021.04.30.21256409" @default.
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