rs1017360 - KIF12 - COL27A1

Magnitude 2.0 · 1 study on file

Reported associations

• Genetic risk shared across 24 chronic pain conditions: Identification and characterization with genomic structural equation modeling - Unknown journal (n.d.) · Unknown authors · PubMed 37219871

  ABSTRACT: 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 multi-site 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, employing both hypothesis- and data-driven exploratory approaches. A comp

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