AI Article Synopsis
- - This review discusses how genome-wide association studies (GWAS) are used to find the underlying causes of vascular disease risk by identifying specific genes and their functions.
- - It explains the history and methods of GWAS, including the use of data imputation and collaborative meta-analyses to enhance research power and consistency in findings.
- - The conclusions highlight that GWAS is transforming cardiovascular disease research, leading to better understanding of genetic factors and potential pathways for developing targeted therapies.
Article Abstract
Objective: The goal of this review is to discuss the implementation of genome-wide association studies to identify causal mechanisms of vascular disease risk.
Approach And Results: The history of genome-wide association studies is described, the use of imputation and the creation of consortia to conduct meta-analyses with sufficient power to arrive at consistent associated loci for vascular disease. Genomic methods are described that allow the identification of causal variants and causal genes and how they impact the disease process. The power of single-cell analyses to promote genome-wide association studies of causal gene function is described.
Conclusions: Genome-wide association studies represent a paradigm shift in the study of cardiovascular disease, providing identification of genes, cellular phenotypes, and disease pathways that empower the future of targeted drug development.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10857784 | PMC |
| http://dx.doi.org/10.1161/ATVBAHA.123.319480 | DOI Listing |
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