Why Your 23andMe Indian Results Look Wrong - And What Your DNA Actually Shows

You paid $200 or more, shipped your saliva sample to a lab overseas, waited weeks for results, and when they finally arrived, your ancestry page says something like: "Northern Indian & Pakistani - 87%" and "Broadly South Asian - 13%." That is the entire breakdown. No state. No region. No community. Just a label so vague it could describe 1.5 billion people.

If you are reading this from the US, UK, Canada, Australia, or the UAE, you already know how frustrating that moment is. You know your family is from a specific place - Lucknow, Chennai, Amritsar, Kochi - and the test tells you nothing you did not already know. Meanwhile, your European or East Asian friends get results broken down by country, region, sometimes even county.

This is not your imagination, and it is not user error. It is a well-documented limitation of how 23andMe (and similar platforms) handle South Asian DNA. The good news: your raw data file already contains the information needed for a far more detailed analysis. You just need a platform that knows how to read it.

Why 23andMe Gets Indian Results Wrong

To understand the problem, you need to understand how ancestry estimation works at a basic level. When 23andMe analyses your DNA, it compares your genotype data against a set of reference populations - groups of people whose ancestry is well-documented. The algorithm asks: "Which reference population does this person's DNA most closely resemble?"

The quality of that answer depends entirely on the quality and diversity of the reference panel. And here is where the problem begins for South Asians.

23andMe's South Asian reference data draws heavily from the 1000 Genomes Project's GIH population - Gujarati Indians in Houston, Texas. This is a publicly available dataset that many genetic testing companies use as a foundation. It consists of roughly 100 Gujarati individuals sampled from the Indian diaspora in a single American city.

Think about what that means. India has over 4,600 documented ethnic and caste groups, each shaped by centuries or millennia of endogamy. The genetic distance between a Nair from Kerala and a Jat from Haryana is substantial and measurable. But if your reference panel is dominated by Gujarati diaspora samples, the algorithm has no basis for making that distinction. It sees your DNA, recognises it as "South Asian," and - lacking any closer match - assigns it to the nearest broad category it has.

This is not a criticism of 23andMe's intentions. Their platform was built for the North American market, where the largest Indian diaspora communities are Gujarati, Punjabi, and Telugu. For their core customer base, a label like "Northern Indian & Pakistani" or "Southern Indian & Sri Lankan" may feel adequate. But for anyone seeking the kind of regional and community-level detail that Europeans routinely receive, the experience is deeply unsatisfying.

What "Broadly South Asian" Actually Means

If part of your results says "Broadly South Asian," it is worth understanding exactly what that label represents. It does not mean your ancestry is mixed or unusual. It does not mean the test failed. It means the algorithm could not assign that portion of your DNA to a more specific reference population with sufficient statistical confidence.

23andMe uses a confidence threshold for ancestry assignments. When your DNA segment matches their "Northern Indian & Pakistani" reference closely enough, it gets that label. When it does not match any of their South Asian sub-references closely enough - which happens frequently because those sub-references are limited - it falls back to "Broadly South Asian." It is the algorithm's way of saying: "I know this is South Asian, but I cannot tell you more than that."

The irony is that the "broadly" segments often correspond to the most distinctly regional parts of your ancestry. If you are Tamil, for example, much of your genetic signature reflects Ancient Ancestral South Indian (AASI) ancestry at levels significantly higher than North Indians. But 23andMe's reference panel lacks sufficient South Indian samples to recognise this pattern as specifically Tamil rather than generically "South Asian."

What Your DNA Actually Contains

Population geneticists have studied Indian ancestry in considerable depth over the past two decades. The landmark work by David Reich, Kumarasamy Thangaraj, and their collaborators - published in journals like Nature and The American Journal of Human Genetics - established that modern Indian populations are shaped by the mixing of several ancestral groups over thousands of years:

• AASI (Ancient Ancestral South Indian) - The deepest layer of Indian ancestry, descended from some of the earliest modern humans to settle the subcontinent, an estimated 50,000 - 65,000 years ago. AASI ancestry is found across all Indian populations but at significantly higher proportions in South Indian and tribal groups - often 55 - 70% in communities like the Paniya, Irula, or Palliyar.
• Iranian farmer-related ancestry - Associated with the spread of agriculture into the subcontinent from the west, roughly 7,000 - 10,000 years ago. This component is present throughout India but at varying levels - typically higher in northwestern populations and among many upper-caste groups.
• Steppe pastoralist ancestry - Linked to migrations from the Central Asian steppe around 3,500 - 4,000 years ago. This component correlates with Indo-European language speakers in India and tends to be highest among upper-caste North Indian populations (often 15 - 30%) and lowest in South Indian and tribal groups (sometimes under 5%).
• East Asian-related ancestry - Present in varying amounts in populations from Northeast India, Bengal, and parts of Odisha, reflecting historical contact with Southeast and East Asian groups.

These are not hypothetical constructs - they are supported by ancient DNA evidence from archaeological sites across Eurasia and the subcontinent. The ratios differ meaningfully between communities and regions, creating distinct genetic signatures that can be detected with the right reference data.

23andMe does not report any of this. Their model is not designed to decompose South Asian ancestry into these components. Instead, it treats South Asia as a handful of broad bins. Your DNA contains a rich, layered history - you are just looking at it through the wrong lens.

Real Examples: What Changes After Re-Analysis

To make this concrete, here is what typical results look like when the same raw data file is analysed by 23andMe versus re-analysed by Helixline's South Asian-focused algorithms:

Example 1: Punjabi Sikh, tested in California

23andMe Result	Helixline Upload Result
Northern Indian & Pakistani - 87% Broadly South Asian - 13%	Regional: Punjabi Jat - 42%, Rajasthani - 28%, Haryanvi - 15%, Other North Indian - 15% Deep ancestry: Steppe - 35%, Iranian farmer - 40%, AASI - 25%

23andMe correctly identifies this person as broadly North Indian but cannot distinguish the specific Punjabi Jat genetic signature - which includes one of the highest Steppe ancestry proportions among Indian communities. The 13% "Broadly South Asian" is not mystery ancestry; it is simply DNA segments the algorithm could not confidently place within its limited reference categories.

Example 2: Tamil professional, tested in London

23andMe Result	Helixline Upload Result
Broadly South Asian - 100%	Regional: Tamil - 52%, Telugu - 23%, Kerala - 12%, Other South Indian - 13% Deep ancestry: AASI - 65%, Iranian farmer - 28%, Steppe - 7%

This is perhaps the most striking example. 23andMe assigned the entire ancestry as "Broadly South Asian" - a completely uninformative result. Helixline's analysis reveals a predominantly Tamil profile with a high AASI proportion typical of Tamil non-Brahmin communities, along with genetic overlap with neighbouring Telugu and Malayali populations that reflects the historical movement of peoples across South India.

Example 3: Bengali, tested in Toronto

23andMe Result	Helixline Upload Result
Northern Indian & Pakistani - 62% Broadly South Asian - 31% East Asian & Native American - 5% Unassigned - 2%	Regional: Bengali Brahmin - 48%, Odia - 18%, Bihari - 14%, Other Eastern Indian - 20% Deep ancestry: Iranian farmer - 34%, AASI - 38%, Steppe - 18%, East Asian - 10%

23andMe placed this person in the "Northern Indian & Pakistani" bin - technically not wrong for a Bengali, but far too broad to be useful. The small East Asian component, common in Bengali populations, was detected but mislabelled under 23andMe's "East Asian & Native American" umbrella. Helixline correctly identifies the Eastern Indian regional signature and the East Asian ancestry that reflects Bengal's geographic position as a corridor between South and Southeast Asia.

These examples illustrate a consistent pattern: the raw DNA data is the same in both cases - the difference lies entirely in the reference populations and the algorithms used for analysis.

How to Get Better Results Without a New Test

If you have already tested with 23andMe, AncestryDNA, MyHeritage, or FamilyTreeDNA, you do not need to collect another saliva sample. Your existing raw DNA data file contains 600,000 - 900,000 SNP markers - more than enough for a detailed South Asian ancestry analysis.

Here is what the process looks like:

1. Download your raw data from your original provider (23andMe: Settings > Download Raw Data; AncestryDNA: Settings > Download your raw DNA data)
2. Visit helixline.in/upload and create a free account
3. Upload your raw data file - Helixline accepts .zip and .txt files directly from 23andMe (v3, v4, v5), AncestryDNA, MyHeritage, and FamilyTreeDNA
4. Receive your results within 24 - 48 hours by email

The upload analysis costs ₹2,500 for ancestry (regional breakdown, deep ancestry components, community signals) or ₹5,000 with health trait analysis included. No new saliva sample needed - just upload the file you already have.

Your uploaded data is encrypted in transit and at rest, and Helixline does not share individual-level data with third parties. You can delete your data at any time from your account dashboard. Read more about our privacy and data handling practices.

Frequently Asked Questions

Is it safe to upload my 23andMe raw data to another service?

Yes, provided you choose a service with transparent data handling policies. Your raw data file contains genotype calls at specific genomic positions - it is not a full genome sequence and cannot be used to identify you without additional personal information. Helixline encrypts uploaded files using TLS in transit and AES-256 at rest, does not share individual-level data with third parties, and provides a one-click data deletion option in your account settings. We recommend reading any service's privacy policy before uploading.

Will my older 23andMe chip version (v3 or v4) still work?

Yes. Helixline supports all 23andMe chip versions. The v3 chip (used before 2013) actually genotyped around 960,000 SNPs - more than the current v5 chip's approximately 640,000. The v4 chip genotyped roughly 570,000 SNPs. All three versions provide enough marker coverage for detailed South Asian ancestry analysis. The specific SNP overlap between your chip and Helixline's reference panel determines resolution, and all major versions meet the minimum threshold comfortably.

How is Helixline's reference panel different from 23andMe's?

The core difference is coverage of South Asian diversity. 23andMe's South Asian reference data relies substantially on publicly available datasets like the 1000 Genomes GIH (Gujarati Indians in Houston) samples, supplemented by customer-consented data that still skews toward diaspora populations. Helixline's reference database was built specifically for the Indian subcontinent, with dedicated panels representing populations from across South India, North India, Eastern India, Western India, and Northeast India - including community-specific samples that capture the effects of endogamy on Indian genetic structure. This means the algorithm can distinguish between populations that 23andMe's model treats as a single group.