rs7982

Variant in the INPPL1 gene (Inositol Polyphosphate Phosphatase Like 1 (SHIP2))

rs7982 is a single nucleotide polymorphism (SNP) in the INPPL1 gene, involved in PI3K inhibition / insulin signaling. 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 rs7982 variant?

rs7982 is a SNP (single nucleotide polymorphism) in the INPPL1 (Inositol Polyphosphate Phosphatase Like 1 (SHIP2)) gene. It belongs to the Signaling category and is part of the Metabolic Regulation biological cluster. INPPL1 encodes SHIP2, which dephosphorylates PIP3 and negatively regulates insulin signaling.

Biological role and pathway

This variant sits within the INPPL1 gene, which is involved in the PI3K inhibition / insulin signaling pathway. Genes within the Metabolic Regulation 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.

rs7982 and Long COVID / ME-CFS research

SHIP2 restrains insulin signaling; variants affecting insulin signal amplification may influence insulin resistance and metabolic dysregulation in Long COVID.

This information is based on published research and does not constitute medical advice. See references below.

Parent gene: INPPL1

rs7982 is one of 1 known variant in the INPPL1 gene. To understand the full biological context of this variant, explore the parent gene page.

View INPPL1 gene page →

Conditions studied in relation to rs7982

Research into INPPL1 variants including rs7982 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 INPPL1 and the rs7982 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 rs7982 variant in the INPPL1 gene?

rs7982 is a single nucleotide polymorphism (SNP) located in the INPPL1 (Inositol Polyphosphate Phosphatase Like 1 (SHIP2)) gene, which is involved in PI3K inhibition / insulin signaling. INPPL1 encodes SHIP2, which dephosphorylates PIP3 and negatively regulates insulin signaling.

How may the rs7982 variant relate to Long COVID or ME/CFS?

SHIP2 restrains insulin signaling; variants affecting insulin signal amplification may influence insulin resistance and metabolic dysregulation in Long COVID.

Can a consumer DNA test detect the rs7982 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 rs7982 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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Informational and educational only · Not a diagnostic tool · GDPR compliant

References

The following publications were used in compiling the research context for INPPL1 and its variants. This is not an exhaustive literature review.

  • [1]PMID: 33153018
  • [2]Nature Genetics
  • [3]Cell Metabolism