Explore
Compare Indian and global genomic evidence
Enter a gene symbol, a variant, or an rsID. BharatGenome queries each configured population provider, compares what they return, and reports how far the result can be trusted.
Public identifiers shown as accepted input formats only. They are not results, not cached data, and carry no frequencies of their own.
No result yet — and none will be invented
Anatomy of a result
Seven blocks, always in this order. Each one is either filled by a provider or explicitly marked unavailable.
- 01
Identity
What the query resolved to: gene, rsID, chromosome position, reference and alternate alleles, assembly. Unresolvable queries say so instead of guessing coordinates.
- 02
Population context
Which populations the figures describe, and which are absent. Availability of Indian and global evidence is stated separately before anything is compared.
- 03
Indian vs global evidence
Each provider's own allele frequencies, sample size, and dataset version, side by side. One side missing means one side is shown as missing.
- 04
Frequency difference
Per-allele absolute difference, fold change, and direction — computed only when both sides supplied a value. Never imputed from one population.
- 05
Research interpretation
A plain-language reading with an explicit confidence level and the rationale behind it. Observations and caveats are labelled separately.
- 06
Literature
Papers returned by a configured literature provider, with identifiers and the population context they matched on. Citations are never generated.
- 07
Provenance & limits
Every source consulted, whether it was configured, whether it answered, and what the result cannot tell you. Timestamped at request time.
How to read block 03
Made-up numbers, used only to explain how the comparison reads.
Global reference population
example
- A80%
- G20%
Indian population
example
- A60%
- G40%
Reading it: at one position in the DNA, some people carry an A and some carry a G. The bar shows how common each letter is in that group of people.
Why it matters: here the G version is twice as common in the Indian group (40%) as the global reference suggests (20%). A study, risk score, or filter tuned to the global number would treat G as rarer than it actually is in that population.
Unfamiliar with allele frequencies, rsIDs, or population aggregates? Start with Learn Genomics, or read the methodology for how each block is computed.