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Genetic Risk Shared Across 24 Chronic Pain Conditions: Identification and Characterization with Genomic Structural Equation Modeling by Katerina Zorina-Lichtenwalter; Carmen I. Bango; Lukas Van Oudenhove; Marta Čeko; Martin A. Lindquist; Andrew D. Grotzinger; Matthew C. Keller; Naomi P. Friedman; Tor D. Wager is a Medicine article available to read on EtoBox.
What is Genetic Risk Shared Across 24 Chronic Pain Conditions: Identification and Characterization with Genomic Structural Equation Modeling about?
Chronic pain conditions frequently co-occur, suggesting common risks and paths to prevention and treatment. Previous studies have reported genetic correlations among specific groups of pain conditions and reported genetic risk for within-individual multisite pain counts (#7). Here, we identified genetic risk for multiple distinct pain disorders across individuals using 24 chronic pain conditions and genomic structural equation modeling (Genomic SEM). First, we ran individual genome-wide association studies (GWASs) on all 24 conditions in the UK Biobank (N # 436,000) and estimated their pairwise genetic correlations. Then we used these correlations to model their genetic factor structure in Genomic SEM, using both hypothesis-and data-driven exploratory approaches. A complementary network analysis enabled us to visualize these genetic relationships in an unstructured manner. Genomic SEM analysis revealed a general factor explaining most of the shared genetic variance across all pain conditions and a second, more specific factor explaining genetic covariance across musculoskeletal pain conditions. Network analysis revealed a large cluster of conditions and identified arthropathic, bac
Who reads Genetic Risk Shared Across 24 Chronic Pain Conditions: Identification and Characterization with Genomic Structural Equation Modeling?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Katerina Zorina-Lichtenwalter; Carmen I. Bango; Lukas Van Oudenhove; Marta Čeko; Martin A. Lindquist; Andrew D. Grotzinger; Matthew C. Keller; Naomi P. Friedman; Tor D. Wager
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- Published
- 2023
- Language
- EN
- Field
- Medicine (Health Sciences)