rs3768955
Variant in the ITGAV gene (Integrin Subunit Alpha V (Vitronectin Receptor))
rs3768955 is a single nucleotide polymorphism (SNP) in the ITGAV gene, involved in integrin-mediated cell adhesion / TGF-beta activation. Variants at this position have been studied in relation to immune function, metabolism, and chronic illness.
This page is for educational and informational purposes only. Not a diagnostic tool. Always consult a qualified healthcare provider.
What is the rs3768955 variant?
rs3768955 is a SNP (single nucleotide polymorphism) in the ITGAV (Integrin Subunit Alpha V (Vitronectin Receptor)) gene. It belongs to the Connective Tissue category and is part of the Coagulation & Microcirculation biological cluster. ITGAV encodes integrin alpha-V, which pairs with beta-3, beta-5, beta-6, or beta-8 to form receptors for fibronectin, vitronectin, and latent TGF-beta.
Biological role and pathway
This variant sits within the ITGAV gene, which is involved in the integrin-mediated cell adhesion / TGF-beta activation pathway. Genes within the Coagulation & Microcirculation cluster work together to maintain balanced function across interconnected biological systems.
Variants in genes within this pathway may influence an individual's predisposition to altered function — particularly under conditions of physiological stress such as viral infection or prolonged illness.
rs3768955 and Long COVID / ME-CFS research
Alpha-V integrins activate latent TGF-beta1 and mediate fibrotic processes; variants may affect TGF-beta activation and fibrosis in COVID-19-injured tissues.
This information is based on published research and does not constitute medical advice. See references below.
Parent gene: ITGAV
rs3768955 is one of 1 known variant in the ITGAV gene. To understand the full biological context of this variant, explore the parent gene page.
View ITGAV gene page →Conditions studied in relation to rs3768955
Research into ITGAV variants including rs3768955 has explored associations with the following conditions. These are areas of scientific investigation and do not imply causation.
Genetic insights from DNA data
Consumer DNA files from 23andMe, AncestryDNA, and MyHeritage contain raw SNP data. When you upload your file to ChronicDNA, the analysis engine checks your genotype against a curated panel of 80+ genes selected for their relevance to Long COVID, ME/CFS, and connected biological pathways - some of which may include ITGAV and the rs3768955 variant.
The report is educational - it explains which variants you carry, what the research says about them, and how they fit into the biological pathways most relevant to chronic illness. Results are presented in plain English with appropriate scientific context, no medical jargon, no scare tactics. All results should be discussed with a qualified healthcare provider.
Frequently asked questions
What is the rs3768955 variant in the ITGAV gene?
rs3768955 is a single nucleotide polymorphism (SNP) located in the ITGAV (Integrin Subunit Alpha V (Vitronectin Receptor)) gene, which is involved in integrin-mediated cell adhesion / TGF-beta activation. ITGAV encodes integrin alpha-V, which pairs with beta-3, beta-5, beta-6, or beta-8 to form receptors for fibronectin, vitronectin, and latent TGF-beta.
How may the rs3768955 variant relate to Long COVID or ME/CFS?
Alpha-V integrins activate latent TGF-beta1 and mediate fibrotic processes; variants may affect TGF-beta activation and fibrosis in COVID-19-injured tissues.
Can a consumer DNA test detect the rs3768955 variant?
Many consumer DNA tests such as 23andMe, AncestryDNA, and MyHeritage genotype common SNPs. ChronicDNA analyses your raw DNA file and reports on variants studied in relation to chronic illness, immune function, and metabolism. This is not a diagnostic service — results are informational and educational only.
Find out if you carry the rs3768955 variant
Upload your DNA data from 23andMe, AncestryDNA, or MyHeritage and receive a personalised report covering >80 genes relevant to Long COVID and ME/CFS.
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References
The following publications were used in compiling the research context for ITGAV and its variants. This is not an exhaustive literature review.
- [1]PMID: 33141942
- [2]Nature Genetics
- [3]Matrix Biology