Genomic structural equation modeling reveals latent phenotypes in the human cortex with distinct genetic architecture
Journal Article
Overview
publication date
- October 24, 2024
has subject area
- Bipolar Disorder
- Cerebral Cortex
- Computing Methodologies - Latent Class Analysis
- Depressive Disorder, Major
- Environment and Public Health - Genome-Wide Association Study
- Environment and Public Health - Genome-Wide Association Study
- Environment and Public Health - Latent Class Analysis
- Female
- Genetic Association Studies - Genome-Wide Association Study
- Genetic Techniques - Genome-Wide Association Study
- Health Care Evaluation Mechanisms - Latent Class Analysis
- Humans
- Inheritance Patterns - Genetic Pleiotropy
- Investigative Techniques - Genome-Wide Association Study
- Investigative Techniques - Genome-Wide Association Study
- Investigative Techniques - Latent Class Analysis
- Magnetic Resonance Imaging
- Male
- Mathematical Concepts - Latent Class Analysis
- Phenotype
- Phenotype - Genetic Pleiotropy
- Polymorphism, Single Nucleotide
- Sequence Analysis - Genome-Wide Association Study
has restriction
- gold
Date in CU Experts
- November 2, 2024 2:36 AM
Full Author List
- Morey RA; Zheng Y; Bayly H; Sun D; Garrett ME; Gasperi M; Maihofer AX; Baird CL; Grasby KL; Huggins AA
author count
- 19
citation count
- 1
published in
- Translational Psychiatry Journal
Other Profiles
International Standard Serial Number (ISSN)
- 2158-3188
Digital Object Identifier (DOI)
Additional Document Info
volume
- 14
issue
- 1
number
- ARTN 451