Jul 2026· Journal of Advanced Research· 0 citations· 150 references
Medicine
TL;DR
Genetic associations are interpreted within a pathway-oriented framework that organizes both established and emerging genes according to their functional roles in cardiovascular biology, and highlights the interconnection between the biological processes underlying disease development.
Abstract
Background
Cardiovascular diseases (CVD) remain the leading cause of morbidity and mortality worldwide and arise from a complex interplay of environmental, metabolic and genetic factors. Over the past decades, advances in genomic research, particularly genome-wide association studies (GWAS) and high-throughput sequencing, have identified numerous genetic loci associated with cardiovascular risk. These discoveries have greatly expanded our understanding of the genetic architecture of CVD, yet the functional roles of many associated genes and their integration within relevant biological pathways remain incompletely understood.
Aim
OF REVIEW
This review aims to compile current evidence on genes and polymorphisms associated with cardiovascular disease and to organize these findings within a pathway-oriented framework that classifies GWAS-identified genes according to the biological processes in which they are involved. By integrating these genetic associations into their functional biological context, the review provides a structured perspective on the mechanisms linking genetic variation to atherosclerosis and cardiovascular events.
KEY SCIENTIFIC CONCEPTS OF REVIEW
The genetic architecture of CVD reflects a complex network of interacting genes that contribute to the development and progression of atherosclerosis. Rather than acting independently, many genes exert pleiotropic effects and participate in interconnected biological mechanisms involved in cardiovascular pathology. In this review, genetic associations are interpreted within a pathway-oriented framework that organizes both established and emerging genes according to their functional roles in cardiovascular biology, and highlights the interconnection between the biological processes underlying disease development. By integrating these findings, this review provides an integrated perspective on how genetic variation contributes to the molecular mechanisms underlying CVD, and offers a framework for interpreting genetic discoveries within the biological pathways that drive atherosclerosis and cardiovascular events.
A positive association was observed between the prevalence of CVDs and OA, potentially explained by shared genetic factors, and Pathway assessment and multi-trait colocalization suggested that abnormal lipid metabolism may be a common cause of CVDs and OA.
Yuheng Lu, Dexi Hu, Fei Tian et al.· Therapeutic Advances in Musc...· 0 citations
Understanding whether and how shared genetic factors contribute to the comorbidity between stress-related disorders (SRDs) and cardiovascular disease (CVD) is important for integrated prevention and treatment, but current evidence remains limited. To address this gap, we integrated Swedish national registers (n = 4,123...
C. Hou, Yu Zeng, Hua-Zhen Yang et al.· Genomics, Proteomics & Bioin...· 0 citations
BACKGROUND
Type 2 Diabetes Mellitus (T2DM) is a complex metabolic disorder characterized by insulin resistance and progressive β-cell dysfunction, although these mechanisms alone do not account for the considerable variability observed in disease presentation and clinical evolution. During the last decade, epidemiologi...
Ilderbayeva Gulzhan, Tatayeva Rosa, Tazhibayeva Damira et al.· Current Medicinal Chemistry· 0 citations
Aging is a universal biological phenomenon characterize by a time-dependent, decline in organismal function, manifested by a gradual increase in risk of disease and death (leading to increased vulnerability to disease and mortality). Age-related genetic and epigenetic changes… are critically implicated in major chronic...
G. M. Khalaf· Journal of Al-Turath Univers...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.