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Updated: Jul 29, 2026

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA)
Published on: August 21, 2016
Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function.
This study identified 10 new genetic loci influencing cardiac structure and function in over 46,000 individuals. These findings enhance our understanding of heart disease genetics.
Area of Science:
- Cardiovascular Genetics
- Human Genetics
- Genomics
Background:
- Understanding genetic factors is key to preventing and treating heart disease.
- Individual differences in cardiac structure and function have a genetic basis.
- Identifying these genetic variations is crucial for advancing cardiovascular medicine.
Purpose of the Study:
- To identify common genetic variations associated with inter-individual variability in cardiac structure and function.
- To expand the knowledge of the genetic architecture of the heart.
- To provide targets for future functional studies and potential therapeutic interventions.
Main Methods:
- Genome-Wide Association Study (GWAS) meta-analysis of echocardiographic traits.
- Involved 46,533 individuals from 30 studies (EchoGen consortium).
- Analyzed 16 traits of left ventricular (LV) structure, and systolic and diastolic function.
Main Results:
- Identified 10 novel genome-wide significant single nucleotide polymorphisms (SNPs) associated with cardiac traits.
- These include SNPs near genes like MTSS1, ATXN2, KCNRG, CACNA1C, and others.
- Findings were validated in independent cohorts and associated with signaling pathways and gene expression in relevant tissues.
Conclusions:
- This large meta-analysis identified additional genetic loci influencing cardiac structure and function.
- These discoveries offer new insights into the genetic underpinnings of cardiac traits.
- The identified loci warrant further functional investigation to elucidate their precise roles.
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