KCNB1 Regulatory Variants and BMI Associations from a Brazilian GWAS

1,079 admixed Brazilian individuals were analyzed in a genome-wide association study identifying BMI-associated loci. The dataset likely contains results from integrative analyses prioritizing a non-coding variant at chromosome 20 (rs149309426) linked to KCNB1. It was authored by Samantha Kuwada Teixeira and last updated on May 7, 2026.

Use Cases

• Identify ancestry-informative genetic variants associated with BMI based on GWAS results.
• Analyze regulatory activity of non-coding variants using luciferase assay and EMSA data.
• Investigate the role of KCNB1 in adipocyte differentiation based on pharmacological inhibition results.
• Compare allele frequencies of BMI risk variants across different ancestral populations.
• Validate genetic loci previously implicated in obesity-related traits using suggestive significance data.

Strengths

• Includes genome-wide significant loci (p ≤ 5 × 10⁻⁸) from a cohort of 1,079 individuals.
• Integrates multiple functional validation methods, such as luciferase reporter assays and electrophoretic mobility shift assays.
• Focuses on an admixed Brazilian population, providing data underrepresented in European-centric studies.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (16.8 KB), indicating limited scope or summary-level results.

Provenance

Source

figshare

Collection Method

Genome-wide association study (GWAS) and subsequent integrative functional analyses.

Freshness

Last updated 2026-05-07 04:44:56; freshness should be verified.

Geography

Admixed Brazilian population.