medRxivGenetic & Genomic MedicinePreprint
Association of genetic variants from the Wnt signaling pathway with cardiovascular disease in the Saudi Arabian population
Chinmayi Ramachandra Kaundinya, Narasimha Reddy ParineiD, Maha Arafah, Jilani Purusottapatnam Shaik, Akbar Ali Khan Pathan
Abstract
The canonical Wnt/{beta}-catenin signaling pathway plays a key role in cardiovascular development, preservation, and pathology. Variations in critical Wnt pathway genes may influence an individuals susceptibility to cardiovascular disease (CVD), although data from specific populations are scarce. In this case-control study, we analyzed 15 single-nucleotide polymorphisms (SNPs) within eight Wnt pathway genes (APC, AXIN2, LRP6, CTNNB1, TCF7L2, DKK3, DKK4, and SFRP3) among 151 CVD patients and 129 healthy controls. We examined the genotypic and allelic distributions for correlations with CVD risk utilizing odds ratios, confidence intervals, and chi-square tests, while controlling for age and gender. We discovered that the APC variants rs459552 and rs454886 conferred protective effects, with age-and gender-dependent variation. AXIN2 SNP rs11079571 made men more likely to get CVD, and rs3923086 made people over 58 more susceptible. The DKK4 variant rs3763511 was associated with an elevated risk of cardiovascular disease, particularly among males and older individuals (age M/F). In SFRP3, rs7775 was associated with an elevated risk in older individuals (age M/F), whereas rs288326 showed a protective effect. For LRP6, rs2284396 increased the risk of CVD in females, while rs2075241 conferred protection in males. We did not identify significant associations for the CTNNB1, TCF7L2, or DKK3 variants. The present data indicate that specific Wnt pathway variants are associated with cardiovascular disease risk, contingent on age and gender. To verify these outcomes and determine whether these variants can serve as genetic markers of cardiovascular disease risk, larger, more diverse studies with whole genome sequencing approach is necessary.
- organism: human
- assay: GWAS summary statistics
- research focus: GWAS / association mapping
- approach: statistical model
- Citations
- 0
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