Genome-wide Association Study of Hair Aging Traits in Indonesian Population
Abstract
This repository contains supplementary visualizations generated from a genome-wide association study (GWAS) examining nine hair aging-related phenotypes in 418 healthy Indonesian participants. The figures include Manhattan plots depicting genome-wide association signals across all phenotypes, quantile-quantile (Q-Q) plots demonstrating the distribution of observed versus expected P-values with genomic inflation factors (λ < 1.1), and LocusZoom regional association plots illustrating the genetic architecture and linkage disequilibrium structure surrounding identified loci of interest. Research data including: demographic information, clinical measurement data, and laboratory data. Participant Information Sheet and Consent form.
Fields of Study & Subjects
Hair Growth and Disorders
Genetic Associations and Epidemiology
Genetic Mapping and Diversity in Plants and Animals
Publication details
- Journal / source
- Figshare
- Publication date
- 16 March 2026
- Language
- EN