
New study reveals 50,000 years of India's genetic history. Here's how that could help treat disease
'This lack of representation leads to limited benefits of genetic findings to the Indian population,' said Priya Moorjani, a UC Berkeley assistant professor of molecular and cell biology.
A new paper she and others wrote helps change that.
Moorjani is the senior author of a study published Thursday that delivers the most comprehensive snapshot to date of genetic diversity in India. The research provides new insights into 50,000 years of complex South Asian evolutionary history and clues about why some genetic conditions are particularly prevalent in specific communities.
The researchers analyzed genomes for over 2,700 individuals across India. Most of this data was generated as part of the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia. The dataset is representative of the population diversity in India, including people born in 23 states and territories and speaking 26 languages.
Because genetic material is inherited, the DNA sequences provide 'information about our ancestors, even going back thousands and millions of years ago,' Moorjani said.
The researchers found that the majority of the genetic variation in present-day Indians was explained by a major migration of humans out of Africa about 50,000 years ago.
These migrating humans then interbred with now extinct Neanderthals and Denisovans, another species of early hominid more evident in the genetic record than in the fossil record. These slightly hybridized humans then spread throughout Europe and Asia.
Indians have about 1% to 2% of their ancestry from Neanderthals, similar to individuals from Europe and the Americas, according to the study. They have 0.1% Denisovan ancestry, similar to Americans and East Asians. Since Neanderthals and Denisovans were already genetically adapted to living outside of Africa, these ancient genes helped migrating humans adapt to new climates, Moorjani explained.
This genetic material can have unexpected impacts today, said Elise Kerdoncuff, a former UC Berkeley postdoctoral fellow and one of two lead authors of the paper. For example, genetic material inherited from Neanderthals is linked to increased risk of respiratory failure from COVID-19.
One of the 'most striking findings' from the new study was that there's larger variation in Neanderthal ancestry in Indians than in other populations, Moorjani said: 'Because Indians are so much more diverse, we find that we can reconstruct almost half of the Neanderthal genome. And similarly, we can reconstruct a third of the Denisovan genome.'
While the migration 50,000 years ago forms the backbone of the Indian genetic makeup, that was just the first major wave. The researchers found that about 10,000 years ago, India received a second infusion of genetic material when existing South Asian hunter-gatherers mixed with migrating farmers from what is now Iran. A third major contribution took place about 3,500 years ago, Kerdoncuff said, when pastoralists from the Central Asian steppe arrived in North India.
Genetic impacts on health
Starting between 3,000 and 5,000 years ago, there has been a cultural shift toward endogamy, or within-community marriages. 'What this does is, it increases the chance of inheriting the same piece of DNA from both your parents,' Moorjani explained, a phenomenon called 'homozygosity.'
When that happens, people can get 'recessive diseases' — when an individual inherits two copies of a mutated gene. The researchers found that 15 individuals analyzed in the study had a mutation in their genes for BCHE, an enzyme that when mutated causes a severe adverse reaction to certain anesthetics, Kerdoncuff said.
Improved understanding of genetic variation in Indian populations could help with screening for genetic disorders or developing targeted drugs for different populations. This also applies for South Asian communities outside of India, like in California.
The researchers are continuing to collect, sequence and analyze genetic data as part of the Longitudinal Aging Study in India.
The work was funded by the U.S. National Institutes of Health.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


CNBC
4 days ago
- CNBC
'Nobody can ignore India': Chief Minister of Indian state Andhra Pradesh woos Singapore Inc
Chandrababu Naidu, Chief Minister of the southern Indian state of Andhra Pradesh, outlines his ambitious vision to transform the state into a hub for advanced technology and innovation, including what he calls a "Quantum Valley" in the capital city of the state, Amaravati.


Miami Herald
4 days ago
- Miami Herald
Can you spot the ‘lobster' in this photo? Tiny species found off South Africa
South Africa sits at the junction of the Southern, Indian and Atlantic oceans and the intersection of two major currents — one warm, the other cold — making it home to a 'remarkably diverse' array of marine life, according to experts. It is estimated that 13,000 different species of invertebrates alone inhabit those waters, including the brightly colored family of Galatheid squat lobsters — unusual, tiny creatures that look like a cross between a crab and a lobster It has been nearly 20 years since researchers surveyed squat lobster populations off the coast, with most records being 'dubious,' incomplete or lost, experts said. Now, a recent study published July 16 in the peer-reviewed journal Zootaxa has confirmed the presence of several species never before recorded in the region, and one that is new to science. One unique species recorded in South African waters for the first time in decades was Allogalathea elegans, according to the study. This squat lobster is often found on the bodies of crinoids, or feather stars, and is known to mimic the coloring and patterns of their hosts, researchers said. Allogalathea elegans was first caught off the coast of South Africa in 1929 and briefly studied in 1950, according to researchers. Three other species, including Galathea hydrae, Galathea tanegashimae and Lauriea gardineri, were recorded for the first time in South Africa during the study, researchers said. The recent survey also helped to correct records of misidentified species, leading to the discovery of a new squat lobster named Galathea noboya, the study said. Noboya is a Xhosa word meaning 'fluffy' — a reference to its fuzzy-looking first set of legs, according to researchers. It is described as being orange with whitish spots and a white stripe down its back. It measures less than half an inch long, according to the study. Galathea noboya was discovered south of Mossel Bay at depths of about 250 feet, according to the study. 'Much remains to still be discovered' in South Africa's waters, researchers said in reference to the 'severely' understudied Galatheid family of squat lobsters. The researcher team included Thomas P.A. Botha, Charles L. Griffiths, Lara J. Atkinson and Enrique Macpherson.


Tom's Guide
4 days ago
- Tom's Guide
AI models can secretly influence each other — new study reveals hidden behavior transfer
A new study from Anthropic, UC Berkeley, and others reveals that AI models may also be learning from each other, via a phenomenon called subliminal learning, not just from humans. Not exactly gibberlink, as I've reported before, this communication process allows one AI ('teacher') to pass behavioral traits, such as a preference for owls, or even harmful ideologies, to another AI ('student'). All of this influencing is done through seemingly unrelated data, such as random number sequences or code snippets. In experiments, a teacher model was first tuned with a trait (e.g., loving owls) and then asked to generate 'clean' training data, such as lists of numbers, with no mention or reference to owls. A student model trained only on those numbers later exhibited a strong preference for owls, compared to control groups. The effect held even after aggressive filtering. The same technique transmitted misaligned or antisocial behavior when the teacher model was deliberately misaligned, even though the student model's training data contained no explicit harmful content. The study seems to indicate that filtering isn't enough. Most AI safety protocols focus on filtering out harmful or biased content before training. But this study shows that even when the visible data looks clean, subtle statistical patterns, completely invisible to humans, can carry over unwanted traits like bias or misalignment. Get instant access to breaking news, the hottest reviews, great deals and helpful tips. And, it creates a chain reaction. Developers often train new models using outputs from existing ones, especially during fine-tuning or model distillation. This means hidden behaviors can quietly transfer from one model to another without anyone realizing. The findings reveal a significant limitation in current AI evaluation practices: a model may appear well-behaved on the surface, yet still harbor latent traits that could emerge later, particularly when models are reused, repurposed, or combined across generations. For AI developers and users alike, this research is a wake-up call; even when model-generated data appears harmless, it may carry hidden traits that influence future models in unpredictable ways. Platforms that rely on outputs from other models, whether through chain-of-thought reasoning or synthetic data generation, may unknowingly pass along biases or behaviors from one system to the next. To prevent this kind of 'behavioral contamination,' AI companies may need to implement stricter tracking of data origins (provenance) and adopt safety measures that go beyond simple content filtering. As models increasingly learn from each other, ensuring the integrity of training data is absolutely essential. Follow Tom's Guide on Google News to get our up-to-date news, how-tos, and reviews in your feeds. Make sure to click the Follow button.