India is home to one of the most genetically diverse populations in the world. At Alstronix Technologies, we’ve developed a specialized Population Genetics Platform to decode this diversity—empowering researchers, clinicians, and policymakers to make more informed decisions in public health, diagnostics, and genomics research.
It is a genomic research
and analytics infrastructure designed to:
· Analyze and compare genomic data across Indian subpopulations·
·
Discover region-specific variants and ancestry
components
·
Support large-scale population genomics
initiatives
· Integrate findings into clinical applications
like PGx and rare disease screening
·
Identify ancestry components such as ASI, ANI,
Steppe, IVC, and Iranian Farmer
·
Trace migration routes and admixture patterns
·
Compare populations within and beyond the Indian
subcontinent
·
Build regional allele frequency maps
·
Identify founder mutations and rare variants
·
Support diagnostics with population-specific
references
·
Use PCA, ADMIXTURE, FST, and hierarchical
clustering
·
Reveal hidden structure within populations
·
Define micro and macro gene pools for research
and healthcare use
·
Interactive maps and graphs
·
Subpopulation comparisons
·
Genotype-phenotype correlations
·
Custom dashboards for research and institutional
projects
·
Clinical
Genomics: Improve diagnostic accuracy by filtering variants against
local populations
·
Research:
Investigate human history, migration, and disease susceptibility
·
Pharma:
Stratify trial populations and identify genomic biomarkers
·
Public
Health: Inform newborn screening and carrier testing programs
We work with:
·
Academic researchers
·
Genomics startups
·
Government genome initiatives
·
International consortiums
· Diagnostic labs and hospitals
Our platform is designed to scale
from a small study to national biobank-level datasets.
Our platform aligns with FAIR data principles, uses standardized pipelines (GATK, ADMIXTURE, PLINK, etc.), and supports export-ready results for publications and global collaborations.
We believe that unlocking India’s population genetics is key to the future of personalized healthcare and scientific discovery.