Circulation-Genomic and Precision Medicine
Scope & Guideline
Advancing Precision in Cardiovascular Care
Introduction
Aims and Scopes
- Genomic Insights into Cardiovascular Diseases:
The journal emphasizes the role of genetic factors in cardiovascular diseases, exploring how genetic variations influence disease susceptibility, progression, and treatment outcomes. - Precision Medicine Approaches:
It promotes the application of precision medicine principles, aiming to tailor prevention and treatment strategies based on individual genetic profiles and other biomarkers. - Multidisciplinary Methodologies:
The journal encompasses a wide range of methodologies, including genomics, transcriptomics, proteomics, and metabolomics, to provide a comprehensive understanding of cardiovascular health. - Population Diversity and Health Disparities:
There is a consistent focus on studying diverse populations to understand how genetic and environmental factors contribute to cardiovascular health disparities. - Translational Research:
The journal encourages research that translates findings from the laboratory to clinical settings, emphasizing the practical implications of genomic research in patient care.
Trending and Emerging
- Polygenic Risk Scores and Predictive Analytics:
There is an increasing focus on developing and validating polygenic risk scores to enhance the prediction of cardiovascular diseases, indicating a trend towards integrating genetic data into clinical risk assessment. - Multi-Omic Approaches:
Emerging studies are increasingly utilizing multi-omic approaches, integrating genomics, proteomics, and metabolomics to provide a holistic view of cardiovascular health and disease mechanisms. - Health Disparities and Genomic Diversity:
An upward trend is observed in research addressing health disparities among diverse populations, emphasizing the need for inclusive genomic research that considers ethnic and racial differences. - Gene Therapy and Innovative Treatments:
Research on gene therapy and innovative treatment strategies for inherited cardiovascular conditions is gaining momentum, reflecting advancements in genetic engineering and therapeutic interventions. - Application of Machine Learning in Genomics:
The integration of machine learning techniques to analyze complex genomic data and improve diagnostic accuracy is becoming a significant theme, showcasing the intersection of artificial intelligence and precision medicine.
Declining or Waning
- Traditional Epidemiological Studies:
There has been a noticeable reduction in traditional epidemiological studies focused solely on risk factor associations without integrating genomic data, reflecting a shift towards more comprehensive approaches that combine genetics with clinical and lifestyle factors. - Single-Gene Disorders:
Research centered on single-gene disorders related to cardiovascular diseases is becoming less prominent as the field moves towards understanding polygenic contributions and multifactorial interactions. - Basic Mechanistic Studies:
While basic mechanistic studies are essential, there appears to be a waning interest in studies that do not directly translate into clinical applications or precision medicine approaches.
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