Africa's New Raw Material: Human DNA

Africa is now seen not only for its young workforce, vast market, rich mineral resources, and massive agricultural lands but also as a new global laboratory where the human body and genetics are being turned into "raw data material." African babies become statistics in global biopolitics from the moment they are born.

For centuries, precious minerals, oil, cocoa, and coffee were exported from the continent. What is being circulated today is human DNA and health data. The controversial health cooperation agreement announced to be signed between Kenya and the United States in December 2025 stands as one of the most striking examples of this new era. The deal, under which the US pledged to transfer $1.6 billion to Kenya over five years, was swiftly suspended following intense backlash from the public and civil society. At the center of the criticism were clauses regulating the sharing of health data.

The Kenyan government argued that only "anonymized and aggregate data" would be shared. However, science reveals how fragile this defense is. A landmark study demonstrated how "anonymous" DNA samples could be re-identified using public genetic and genealogy databases, with only simple additional information like age and geographic region (Gymrek et al., 2013, Science). Thus, the debate evolved far beyond a technical data security issue into deeper questions of national sovereignty, individual privacy, and *who* accesses *which* people's data and *for what purpose*.

So, why is the US so intent on obtaining the health and genetic data of the Kenyan population? What is planned with this data? If the goal is genuinely to contribute to humanity's health, why is this extensive data mining process starting in Africa, not in American society?

What Does Owning Genetic Data Mean?

Possessing the genetic and health profile of a population is not merely an innocent set of information for treating diseases. Such data enables the prediction of who will live longer, who is in a high-risk group, who is predisposed to which diseases, and ultimately, who will be coded as a "burden" on the healthcare system.

A population-level DNA map becomes a ready-made risk-cost analysis for insurance companies and financial institutions. It is also one of the most valuable raw materials for "algorithmic capitalism."

On the other hand, the same data is crucial for developing new drugs and personalized medicine. Africa's genetic diversity is seen as the ultimate treasure trove of the human gene pool. The scientific world agrees that understanding this diversity could bring new treatments for many problems, from cancer to heart disease (the *Nature*-published African Genome Variation Project paper (2015) highlights this potential).

But the critical question is: Who will mine this treasure, who will process it, and who will benefit from it? In whose hands will the data be, under what ethical framework, and ultimately, for whose benefit will it be used? This is precisely what is being debated in the Kenya example. Africa's young and genetically diverse population offers a unique resource for medical discovery while simultaneously rendering it extremely vulnerable to this new form of exploitation.

Medical Advancement or Biopolitical Weapon?

At this point, the intended use of the data changes everything. Genetic information creates a "biopolitical map" for populations. Used with good intent, this map can prevent epidemics and save lives. But in uncontrolled and non-transparent hands, the same map can turn into a strategic/biological weapon.

The risk of misuse is not merely theoretical. Breakthrough advances in synthetic biology and gene-editing technologies (like CRISPR) make it technically possible to design pathogens that target specific genetic variants, rather than causing pandemics affecting everyone equally. Thus, a "targeted biological risk" scenario exists, one that could make specific ethnic or genetic groups more vulnerable.

A nearer and more concrete threat is the use of this data for societal discrimination and economic exclusion. When an individual's genetic predisposition to a future disease is known, this information can fundamentally impact their life: leading to being denied employment, facing exorbitant insurance premiums or complete exclusion from insurance, or being seen as an "inefficient" investment. When algorithmic answers are provided to questions like "Who is risky, who is productive, who is expendable?", inequality becomes permanent and irreversible.

However far-fetched these scenarios may seem, their foundations were laid in history and are applicable today. The COVID-19 pandemic showed how specific biological factors like age and underlying conditions could lead to deadly discrimination.

Today, the methods are more sophisticated. With consent forms and small material incentives, the most vulnerable communities can once again become subjects for testing the newest and most experimental drugs "for the advancement of global medicine." Here, exploitation operates not through physical violence but through information and power asymmetry. The devastating consequences are often only understood after irreversible harm has been done.

From Gattaca to Today

Recall the dystopian film *Gattaca*: Individuals' genetic profiles are determined at birth, and society is rigidly stratified according to this "biological destiny." Who is worthy of which job, who will be a burden on the system, is determined in infancy. The genetic code becomes an irreversible determinant of social class, a lifelong biological CV.

Looking at the genetic data collection race today, we see that *Gattaca* is not just a science-fiction allegory. The film is a powerful warning of how genetic information can become a perfect mechanism of discrimination if ethical and legal boundaries are loosened. The core question it asks is not "Is this possible?" but "What will our society become if we allow this?" Determining insurance premiums based on genetic risk, or assessing genetic predispositions in hiring processes under the guise of "risk analysis," are steps that could gradually turn this scenario into reality. The data to be collected in Kenya risks becoming part of this global data economy.

Africa Must Be an Actor, Not a Guinea Pig

Africa was exploited in the past for its minerals, lands, and human labor. Today, the most intimate information of the human body is being quietly circulated. Therefore, African leaders must not trade away a long-term domain of sovereignty for short-term funds. Genetic data is not a reproducible resource like oil or minerals. Once lost, it cannot be reclaimed.

Africa must realize the value of its young population and unique genetic pool. This continent must not be a guinea pig in global health projects but an actor with a say, with its own scientists, its own ethical rules, and strong systems protecting its interests.

Rwanda's investments in a national genetic data bank or the African Union's work on common data policies are promising steps in this direction. The suspension of the Kenya-US agreement also shows how vital public oversight and resistance are.

In an age where it is seen as a "genetic treasure," Africa must be the guardian of this treasure—protecting it, managing it, and sharing the ultimate benefit with its own peoples. Otherwise, "bio-colonialism," the most advanced form of digital colonialism, will once again chain the continent's future, this time in a much harder-to-reverse way.

*Note: Recall that in the mid-2020s, Kenya made headlines with international projects like Worldcoin conducting 'paid' iris scans. The creation of biometric identities through the eyes of the impoverished population could only be stopped by the intervention of the country's data protection authority. This is a concrete example showing not only the DNA data debate but also how direct data collection strategies via the body are deployed on the ground.*

 

*Originally published on FokusPlus.*