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A genome-wide cross-trait analysis identifies genomic correlation, pleiotropic loci, and causal relationship between sex hormone-binding globulin and rheumatoid arthritis
- Source :
- Human Genomics, Vol 17, Iss 1, Pp 1-12 (2023)
- Publication Year :
- 2023
- Publisher :
- BMC, 2023.
-
Abstract
- Abstract Background Our study aims to investigate an intrinsic link underlying sex hormone-binding globulin (SHBG) and rheumatoid arthritis (RA), which remains inconclusive in observational settings. Methods Summary statistics were collected from the largest GWAS(s) on SHBG adjusted for BMI (SHBGadjBMI; N overall = 368,929; N men = 180,094; N women = 188,908), crude SHBG (N overall = 370,125; N men = 180,726; N women = 189,473), and RA (N case = 22,350; N control = 74,823). A genome-wide cross-trait design was performed to quantify global and local genetic correlation, identify pleiotropic loci, and infer a causal relationship. Results Among the overall population, a significant global genetic correlation was observed for SHBGadjBMI and RA ( $$r_{{\text{g}}}$$ r g = 0.11, P = 1.0 × 10−4) which was further supported by local signal (1q25.2). A total of 18 independent pleiotropic SNPs were identified, of which three were highly likely causal variants and four were found to have effects on both traits through gene expression mediation. A putative causal association of SHBGadjBMI on RA was demonstrated (OR = 1.20, 95% CI = 1.01–1.43) without evidence of reverse causality (OR = 0.999, 95% CI = 0.997–1.000). Sex-specific analyses revealed distinct shared genetic regions (men: 1q32.1-q32.2 and 5p13.1; women: 1q25.2 and 22q11.21-q11.22) and diverse pleiotropic SNPs (16 in men and 18 in women, nearly half were sex-specific) underlying SHBGadjBMI and RA, demonstrating biological disparities between sexes. Replacing SHBGadjBMI with crude SHBG, a largely similar yet less significant pattern of results was observed. Conclusion Our cross-trait analysis suggests an intrinsic, as well as a sex-specific, link underlying SHBG and RA, providing novel insights into disease etiology.
Details
- Language :
- English
- ISSN :
- 14797364
- Volume :
- 17
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Human Genomics
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.9c29135ce7b04fa8b04e9e7a8f59547e
- Document Type :
- article
- Full Text :
- https://doi.org/10.1186/s40246-023-00528-x