12.5 KB Excel file containing data on metabolite quantitative trait loci (mQTL) SNPs for lysophosphatidylcholine O-16:0 and their association with Type 2 Diabetes. The dataset, authored by Madhusmita Rout and last updated in April 2026, includes results from multivariate regression analyses for both South Asian and European populations.
Use Cases
- Identify genetic variants associated with specific lipid metabolites based on mQTL data.
- Compare genetic associations with Type 2 Diabetes between South Asian and European populations.
- Validate or prioritize candidate SNPs for follow-up functional studies based on p-values from multivariate regression.
- Conduct meta-analyses or cross-population genetic studies using the provided SNP association statistics.
Strengths
- Data is openly licensed under CC-BY-4.0.
- Analysis includes results for two distinct population groups (South Asians and Europeans).
- Association p-values were calculated using multivariate regression, a standard statistical method.
Limitations
- Dataset is very small at 12.5 KB, indicating limited scope.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- figshare
- Collection Method
- Likely derived from a genome-wide association study (GWAS) or metabolomics study.
- Time Range
- null
- Freshness
- Last updated 2026-04 23 17:21:34; freshness should be verified.
- Geography
- Covers South Asian and European populations.