Understanding the rich genetic diversity and population structure of the Indian subcontinent through comprehensive scientific analysis.
I'm a high school student interested in South Asian genetics, anthropology, and digital archiving. I started this project to better understand the genetic diversity of the region I come from and to make that data more accessible for others like me—students, researchers, or just curious people trying to learn more about their roots.
I have been teaching myself how to work with population genetics data, reading papers from labs like Reich and others focused on South Asia. I built this atlas to organize that information in one place, especially for communities that are often underrepresented or left out of big datasets.
Most of what’s here comes from public sources, but I’m always looking to improve it—whether that’s by refining the interface, adding datasets, or documenting underrepresented groups more carefully. This is still a work in progress, and some groups lack components of their breakdowns such as East Asian or MED components that we are working to analyze
Email for any inquiries
The South Asian Genetics Atlas was created to bridge the gap between cutting-edge population genetics research and public understanding. South Asia, home to nearly a quarter of the world's population, represents one of the most genetically diverse regions on Earth, yet this diversity is often underrepresented in genetic studies and educational resources.
This project aims to make complex genetic research accessible to students, educators, researchers, and anyone curious about human genetic diversity. By presenting data from peer-reviewed studies in an interactive, visual format, we hope to foster greater understanding of human population history and the scientific process.
Making genetics research accessible to students worldwide
Supporting scientific inquiry and data exploration
Highlighting South Asian genetic diversity
Next.js 15, React, TypeScript, Tailwind CSS
shadcn/ui, Lucide Icons, Custom SVG Maps
R, Python, PLINK, ADMIXTURE analysis
Vercel, Netlify, GitHub Actions