Transcriptome-wide and stratified genomic structural equation modeling identify neurobiological pathways shared across diverse cognitive traits

Andrew D. Grotzinger; Javier de la Fuente; Gail Davies; Michel G. Nivard; Elliot M. Tucker-Drob

doi:10.1038/s41467-022-33724-9

Nature Communications (Oct 2022)

Transcriptome-wide and stratified genomic structural equation modeling identify neurobiological pathways shared across diverse cognitive traits

Andrew D. Grotzinger,
Javier de la Fuente,
Gail Davies,
Michel G. Nivard,
Elliot M. Tucker-Drob

Affiliations

Andrew D. Grotzinger: Institute for Behavioral Genetics, University of Colorado at Boulder
Javier de la Fuente: Department of Psychology, University of Texas at Austin
Gail Davies: Lothian Birth Cohorts, University of Edinburgh
Michel G. Nivard: Department of Biological Psychology, VU University Amsterdam
Elliot M. Tucker-Drob: Department of Psychology, University of Texas at Austin

DOI: https://doi.org/10.1038/s41467-022-33724-9
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 15

Abstract

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High genetic overlap across traits requires methods that can be used to disentangle shared and unique biological pathways. Here, the authors introduce TSEM, a multivariate method for examining tissue-specific gene expression, and apply it to identify genes associated with cognitive traits.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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