Investigating the shared genetic architecture between COVID-19 and obesity: a large-scale genome wide cross-trait analysis
- PMID: 38352709
- PMCID: PMC10862482
- DOI: 10.3389/fendo.2024.1325939
Investigating the shared genetic architecture between COVID-19 and obesity: a large-scale genome wide cross-trait analysis
Abstract
Observational studies have reported high comorbidity between obesity and severe COVID-19. The aim of this study is to explore whether genetic factors are involved in the co-occurrence of the two traits. Based on the available genome-wide association studies (GWAS) summary statistics, we explored the genetic correlation and performed cross-trait meta-analysis (CPASSOC) and colocalization analysis (COLOC) to detect pleiotropic single nucleotide polymorphisms (SNPs). At the genetic level, we obtained genes detected by Functional mapping and annotation (FUMA) and the Multi-marker Analysis of GenoMic Annotation (MAGMA). Potential functional genes were further investigated by summary-data-based Mendelian randomization (SMR). Finally, the casualty was identiied using the latent causal variable model (LCV). A significant positive genetic correlation was revealed between obesity and COVID-19. We found 331 shared genetic SNPs by CPASSOC and 13 shared risk loci by COLOC. At the genetic level, We obtained 3546 pleiotropic genes, among which 107 genes were found to be significantly expressed by SMR. Lastly, we observed these genes were mainly enriched in immune pathways and signaling transduction. These indings could provide new insights into the etiology of comorbidity and have implications for future therapeutic trial.
Keywords: COVID-19; GWAS; genetic correlation; genetic overlap; obesity; pleiotropy.
Copyright © 2024 Chen, Fan and Liu.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Figures



Similar articles
-
Genetic overlap and causality between COVID-19 and multi-site chronic pain: the importance of immunity.Front Immunol. 2024 Mar 18;15:1277720. doi: 10.3389/fimmu.2024.1277720. eCollection 2024. Front Immunol. 2024. PMID: 38633255 Free PMC article.
-
Genetic correlation between smoking behavior and gastroesophageal reflux disease: insights from integrative multi-omics data.BMC Genomics. 2024 Jun 27;25(1):642. doi: 10.1186/s12864-024-10536-3. BMC Genomics. 2024. PMID: 38937676 Free PMC article.
-
Genomic correlation, shared loci, and causal link between obesity and diabetic microvascular complications: A genome-wide pleiotropic analysis.Biomol Biomed. 2025 Apr 7. doi: 10.17305/bb.2025.11897. Online ahead of print. Biomol Biomed. 2025. PMID: 40245477
-
Comprehensive identification of pleiotropic loci for body fat distribution using the NHGRI-EBI Catalog of published genome-wide association studies.Obes Rev. 2019 Mar;20(3):385-406. doi: 10.1111/obr.12806. Epub 2018 Nov 22. Obes Rev. 2019. PMID: 30565845 Review.
-
Multivariate analysis of genome-wide data to identify potential pleiotropic genes for type 2 diabetes, obesity and coronary artery disease using MetaCCA.Int J Cardiol. 2019 May 15;283:144-150. doi: 10.1016/j.ijcard.2018.10.102. Epub 2018 Oct 31. Int J Cardiol. 2019. PMID: 30459114 Review.
Cited by
-
Multi-omics study of mitochondrial dysfunction in the pathogenesis of hyperuricemia.Ren Fail. 2025 Dec;47(1):2532855. doi: 10.1080/0886022X.2025.2532855. Epub 2025 Jul 23. Ren Fail. 2025. PMID: 40697080 Free PMC article.
-
The potential protective role of Parkinson's disease against hypothyroidism: co-localisation and bidirectional Mendelian randomization study.Front Aging Neurosci. 2024 May 14;16:1377719. doi: 10.3389/fnagi.2024.1377719. eCollection 2024. Front Aging Neurosci. 2024. PMID: 38808034 Free PMC article.
-
Associations of plasma protein levels with risk of colorectal cancer: a proteome-wide Mendelian randomization study.Clin Proteomics. 2025 Jun 4;22(1):24. doi: 10.1186/s12014-025-09545-5. Clin Proteomics. 2025. PMID: 40462010 Free PMC article.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical