Transcriptome-wide and stratified genomic structural equation modeling identify neurobiological pathways shared across diverse cognitive traits
Journal Article
Overview
publication date
- October 21, 2022
has subject area
- Biochemical Phenomena - Transcriptome
- Biology - Genomics
- Cognition
- Computing Methodologies - Latent Class Analysis
- Environment and Public Health - Genome-Wide Association Study
- Environment and Public Health - Genome-Wide Association Study
- Environment and Public Health - Latent Class Analysis
- Gene Expression - Transcriptome
- Genetic Association Studies - Genome-Wide Association Study
- Genetic Structures - Transcriptome
- Genetic Techniques - Genome-Wide Association Study
- Genetics - Genomics
- Health Care Evaluation Mechanisms - Latent Class Analysis
- Humans
- Investigative Techniques - Genome-Wide Association Study
- Investigative Techniques - Genome-Wide Association Study
- Investigative Techniques - Latent Class Analysis
- Mathematical Concepts - Latent Class Analysis
- Polymorphism, Single Nucleotide
- Sequence Analysis - Genome-Wide Association Study
has restriction
- gold
Date in CU Experts
- November 14, 2022 7:01 AM
Full Author List
- Grotzinger AD; de la Fuente J; Davies G; Nivard MG; Tucker-Drob EM
author count
- 5
citation count
- 6
published in
- Nature Communications Journal
Other Profiles
Electronic International Standard Serial Number (EISSN)
- 2041-1723
Digital Object Identifier (DOI)
Additional Document Info
volume
- 13
issue
- 1
number
- ARTN 6280