Genome-wide Association Study of Hair Aging Traits in Indonesian Population

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Authors: Yulia Ariani, Shafa Talitha Risti, Indra Muhiardi, Nadhifa Tazkia Ramadhani, Nurul Muhammad Prakoso, Farah Shabihah, Sari Chairunnisa
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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