rs117254896 (SNTG1): Abdominal Fat Cell Number
Key takeaways
- rs117254896 near SNTG1 was identified as a suggestive hit in a genome-wide study of abdominal fat cell number in 896 adults
- The variant did not reach genome-wide significance, making this a preliminary finding from a single cohort
- Fat cell count is distinct from fat cell size, and the study links impaired fat cell generation to insulin resistance and type 2 diabetes
- Thirty established type 2 diabetes risk variants showed overlapping associations with fat cell number in the same cohort
Key takeaways
- rs117254896, located near the SNTG1 gene, was identified as a suggestive hit in a genome-wide study of abdominal fat cell number in 896 adults
- The variant did not reach genome-wide significance, making this a preliminary finding from a single cohort
- Fat cell count is biologically distinct from fat cell size, and the study links impaired fat cell generation to enlarged fat cells, insulin resistance, and type 2 diabetes
- Thirty established type 2 diabetes risk variants showed overlapping associations with fat cell number in the same cohort
What the research says A genome-wide association study (GWAS, a large-scale genetic scan) of abdominal fat cell number in the GENiAL cohort identified 318 single nucleotide polymorphisms (SNPs, single-letter changes in the DNA code) across 17 genetic regions showing suggestive association (P < 1x10^-5) with the number of subcutaneous (under-the-skin) fat cells, with rs117254896 in the SNTG1 region among the candidates. The same study found that 30 genetic variants previously linked to type 2 diabetes showed consistent nominal associations with fat cell number in this cohort of 896 participants, supporting a biological connection between fat cell plasticity and diabetes risk.
Reported associations
- Abdominal fat cell number (suggestive): rs117254896 was among 318 variants associated with fat cell count at a suggestive significance threshold (P < 1x10^-5) in a GWAS of 896 adults from the GENiAL cohort; the association did not cross the genome-wide significance threshold
Evidence quality The association rests on a single-cohort GWAS (GENiAL, n = 896) conducted at the suggestive significance level (P < 1x10^-5), well below the standard genome-wide significance threshold. The GENiAL sample consists of participants who underwent abdominal fat biopsy, a specialized clinical population that may not represent the general population. No independent replication of rs117254896 specifically is described in the provided study. Two other variants in the same GWAS did reach genome-wide significance (on chromosomes 2 and 7), but this locus was not among them. The evidence for this variant should be considered preliminary and hypothesis-generating.
Lifestyle considerations No lifestyle considerations on file for this variant.
Frequently asked questions
What is rs117254896?
rs117254896 is a genetic variant located near the SNTG1 gene. It was identified as a suggestive hit in a genome-wide study of abdominal fat cell number in 896 adults.
What does the SNTG1 region have to do with fat cells?
The SNTG1 region was flagged through statistical association with abdominal fat cell number in a genome-wide study. The provided research does not describe the specific biological function of this gene in fat cell biology.
Is rs117254896 linked to type 2 diabetes?
The study examined fat cell number, a trait that prior research cited in the study connects to type 2 diabetes risk. The variant itself was not directly tested for a diabetes association; the connection is indirect, through fat cell biology.
How strong is the evidence for this variant?
The evidence is preliminary. The association was detected at a suggestive significance level in a single cohort of 896 participants and has not been independently replicated in the provided research.
Why does fat cell number matter for health?
Research cited in the study suggests that how many fat cells the body can generate is linked to both obesity and type 2 diabetes risk. Impaired fat cell generation has been associated with enlarged fat cell size, which in turn is connected to insulin resistance.