KCNB1 Regulatory Variants Associated with BMI in Admixed Brazilian Population

A genome-wide association study dataset from a cohort of 1,079 admixed Brazilian individuals identifies BMI-associated loci. The dataset likely contains results from integrative analyses, including prioritized non-coding variants and functional assay data. The dataset was authored by Samantha Kuwada Teixeira and last updated in May 2026.

Use Cases

• Identify BMI-associated genetic loci based on GWAS results from an admixed population
• Analyze ancestry-enriched regulatory variants based on the prioritized rs149309426 variant
• Study the functional role of KCNB1 in adipogenesis based on pharmacological inhibition and knockout mouse data

Strengths

• Includes GWAS results from a cohort of 1,079 admixed Brazilian individuals
• Identifies three BMI-associated loci reaching genome-wide significance (p ≤ 5 × 10⁻⁸)
• Integrates functional validation data from luciferase assays, EMSA, and animal models

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect geographic bias inherent to the single cohort studied

Provenance

Source

figshare

Collection Method

Genome-wide association study (GWAS) and integrative functional analysis

Freshness

Last updated 2026-05-07 04:44:55

Geography

Brazil (admixed population)