| Title: | Genome-Wide and Exome-Wide Association Study Identifies Genetic Underpinning of Comorbidity between Myocardial Infarction and Severe Mental Disorders |
| Journal: | Biomedicines |
| Published: | 10 Oct 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39457610/ |
| DOI: | https://doi.org/10.3390/biomedicines12102298 |
| URL: | https://www.mdpi.com/2227-9059/12/10/2298/pdf?version=1728557656 |
Publication 13247
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Abstract
BACKGROUND: Myocardial Infarction (MI) and severe mental disorders (SMDs) are two types of highly prevalent and complex disorders and seem to have a relatively high possibility of mortality. However, the contributions of common and rare genetic variants to their comorbidity arestill unclear.</p>
METHODS: We conducted a combined genome-wide association study (GWAS) and exome-wide association study (EWAS) approach.</p>
RESULTS: Using gene-based and gene-set association analyses based on the results of GWAS, we found the common genetic underpinnings of nine genes (GIGYF2, KCNJ13, PCCB, STAG1, HLA-C, HLA-B, FURIN, FES, and SMG6) and nine pathways significantly shared between MI and SMDs. Through Mendelian randomization analysis, we found that twenty-seven genes were potential causal genes for SMDs and MI. Based on the exome sequencing data of MI and SMDs patients from the UK Biobank, we found that MUC2 was exome-wide significant in the two diseases. The gene-set analyses of the exome-wide association study indicated that pathways related to insulin processing androgen catabolic process and angiotensin receptor binding may be involved in the comorbidity between SMDs and MI. We also found that six candidate genes were reported to interact with known therapeutic drugs based on the drug-gene interaction information in DGIdb.</p>
CONCLUSIONS: Altogether, this study revealed the overlap of common and rare genetic underpinning between SMDs and MI and may provide useful insights for their mechanism study and therapeutic investigations.</p>
12 Authors
- Bixuan Jiang
- Xiangyi Li
- Mo Li
- Wei Zhou
- Mingzhe Zhao
- Hao Wu
- Na Zhang
- Lu Shen
- Chunling Wan
- Lin He
- Cong Huai
- Shengying Qin
1 Application
| Application ID | Title |
|---|---|
| 34716 | Designing a resampling approach to control for population stratification in rare variant association tests |
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