Your Genetic Data Is The New Oil. These Startups Will Pay to Rent It.
Perhaps you're one of the 12 million people who has spit into a tube in recent years to learn the secrets in your genetic code, like your ancestry, your health risks, or your carrier status for certain diseases. If you haven't participated in direct-to-consumer genetic testing, you may know someone who has.
It's for people who want more control over their genetic data--plus a share of the proceeds when and if that data is used.
Mountains of genomic data have been piling up steeply over the last several years, but according to some experts, not enough research and drug discovery is being done with the data collected, and customers rarely have a say in how their data is used. Now, a slew of ambitious startup companies are bringing together the best of blockchain technology and human genomics to help solve these problems.
But First, Why Is Your Genome So Valuable?
Access to genetic information is an obvious boon to scientific and medical progress. In the right hands, it has the potential to save lives and reduce suffering — by facilitating the development of better, safer, more targeted treatments and by shedding light on the role of genetics in countless diseases and medical conditions.
Research requiring access to direct-to-consumer (DTC) genomic data is already well underway. For example, 23andMe, the popular California-based DTC genetic testing company, has published 107 research articles so far, as of this May, using data from their five million-plus customers around the world. Their website states that, on average, of the 80 percent of their customers who have opted to share their genomic data for research purposes, each "individual contributes to 200 different research studies."
And this July, a new collaboration was announced between 23andMe and GlaxoSmithKline, the London-based pharmaceutical company. GlaxoSmithKline will be using data from 23andMe customers to develop new medical treatments, while 23andMe will receive $300 million from the four-year deal. Both companies are poised to profit significantly from their union.
Should 23andMe's customers share in the gains? Peter Pitts, president of the Center for Medicine in the Public Interest, believes they should. "Are they going to offer rebates to people who opt in, so their customers aren't paying for the privilege of 23andMe working with a for-profit company in a for-profit research project?" Pitts told NBC. So far, 23andMe has not announced any plans to share profits with their customers.
But outside of such major partnerships, many researchers are frustrated by the missed opportunities to dig deeper into the correlations between genetics and disease. That's because people's de-identified genomic information is "essentially lying fallow," siloed behind significant security blockades in the interest of preserving their anonymity. So how can both researchers and consumers come out ahead?
Putting Consumers Back in Control
For people who want more control over their genetic data -- plus a share of the proceeds when and if that data is used -- a few companies have paired consumer genomics with blockchain technology to form a new field called "blockchain genomics." Blockchain is a data storage technology that relies on a network of computers, or peer-to-peer setup, making it incredibly difficult to hack. "It's a closed loop of transactions that gets protected and encrypted, and it cannot be changed," says Tanya Woods, a blockchain thought leader and founder of Kind Village, a social impact technology platform.
The vision is to incentivize consumers to share their genomic data and empower researchers to make new breakthroughs.
"So if I agree to give you something and you agree to accept it, we make that exchange, and then that basic framework is captured in a block. … Anything that can be exchanged can be ledgered on blockchain. Anything. It could be real estate, it could be the transfer of artwork, it could be the purchase of a song or any digital content, it could be recognition of a certification," and so on.
The blockchain genomics companies' vision is to incentivize consumers to share their genomic data and empower researchers to make new breakthroughs, all while keeping the data secure and the identities of consumers anonymous.
Consumers, or "partners" as these companies call them, will have a direct say regarding which individuals or organizations can "rent" their data, and will be able to negotiate the amount they receive in exchange. But instead of fiat currency (aka "regular money") as payment, partners will either be remunerated in cryptocurrency unique to the specific company or they will be provided with individual shares of ownership in the database for contributing DNA data and other medical information.
Luna DNA, one of the blockchain genomics companies, "will allow any credible researcher or non-profit to access the databases for a nominal fee," says its president and co-founder, Dawn Barry. Luna DNA's infrastructure was designed to embrace certain conceptions of privacy and privacy law "in which individuals are in total control of their data, including the ability to have their data be 'forgotten' at any time," she said. This is nearly impossible to implement in pre-existing systems that were not designed with full control by the individual in mind.
One of the legal instruments to which Barry referred was the European Union's General Data Protection Regulation, which "states that the data collected on an individual is owned and should be controlled by that individual," she explained. Another is the California Privacy Act that echoes similar principles. "There is a global trend towards more control by the individual that has very deep implications to companies and sites that collect and aggregate data."
David Koepsell, CEO and co-founder of EncrypGen, told Forbes that "Most people are not aware that your DNA contains information about your life expectancy, your proclivity to depression or schizophrenia, your complete ethnic ancestry, your expected intelligence, maybe even your political inclinations" — information that could be misused by insurance companies and employers. And though DTC customers have been assured that their data will stay anonymous, some data can be linked back to consumers' identities. Blockchain may be the answer to these concerns.
Both blockchain technology and the DTC genetic testing arena have a glaring diversity problem.
"The security that's provided by blockchain is tremendous," Woods says. "It's a significant improvement … and as we move toward more digitized economies around the world, these kinds of solutions that are providing security, validity, trust — they're very important."
In the case of blockchain genomics companies like EncrypGen, Luna DNA, Longenesis, and Zenome, each partner who joins would bring a digital copy of their genetic readout from DTC testing companies (like 23andMe or AncestryDNA). The blockchain technology would then be used to record how and for what purposes researchers interact with it. (To learn more about blockchain, check out this helpful visual guide by Reuters.)
Obstacles in the Path to Success
The cryptocurrency approach as a method of payment could be an unattractive lure to consumers if only a limited number of people make transactions in a given currency's network. And the decade-old technology underlying it -- blockchain -- is not yet widely supported, or even well-understood, by the public at large.
"People conflate blockchain with cryptocurrency and bitcoin and all of the concerns and uncertainty thereof," Barry told us. "One can think of cryptocurrency as a single expression of the vast possibilities of the blockchain technology. Blockchain is straightforward in concept and arcane in its implementation."
But blockchain, with its Gini coefficient of 0.98, is one of the most unequal "playing fields" around. The Gini coefficient is a measure of economic inequality, where 0 represents perfect equality and 1 represents perfect inequality. Around 90 percent of bitcoin users, for example, are male, white or Asian, between the ages of 18 and 34, straight, and from middle and upper class families.
The DTC genetic testing arena, too, has a glaring diversity problem. Most DTC genetic test consumers, just like most genetic study participants, are of European descent. In the case of genetic studies, this disparity is largely explained by the fact that most research is done in Europe and North America. In addition to being over 85 percent white, individuals who purchase DTC genetic testing kits are highly educated (about half have more than a college degree), well off (43 percent have a household income of $100,000 or more per year), and are politically liberal (almost 65 percent). Only 14.5 percent of DTC genetic test consumers are non-white, and a mere 5 percent are Hispanic.
Since risk of genetic diseases often varies greatly between ethnic groups, results from DTC tests can be less accurate and less specific for those of non-European ancestry — simply due to a lack of diverse data. The bigger the genetic database, wrote Sarah Zhang for The Atlantic, the more insights 23andMe and other DTC companies "can glean from DNA. That, in turn, means the more [they] can tell customers about their ancestry and health…" Though efforts at recruiting non-white participants have been ongoing, and some successes have been made at improving ancestry tools for people of color, the benefits of genomic gathering in North America are still largely reaped by Caucasians.
So far, it's not yet clear who or how many people will choose to partake in the offerings of blockchain genomics companies.
So one chief hurdle for the blockchain genomics companies is getting the technology into the hands of those who are under-represented in both blockchain and genetic testing research. Women, in particular, may be difficult to bring on board the blockchain genomics bandwagon — though not from lack of interest. Although women make up a significant portion of DTC genetic testing customers (between 50 and 60 percent), their presence is lacking in blockchain and the biotech industry in general.
At the North American Bitcoin Conference in Miami earlier this year, only three women were on stage, compared to 84 men. And the after-party was held in a strip club.
"I was at that conference," Woods told us. "I don't know what happened at the strip club, I didn't observe it. That's not to say it didn't happen … but I enjoyed being at the conference and I enjoyed learning from people who are experimenting in the space and developing in it. Generally, would I have loved to see more women visible? Of course. In tech generally I want to see more women visible, but there's a whole ecosystem shifting that has to happen to make that possible."
Luna's goal is to achieve equal access to a technology (blockchain genomics) that could potentially improve health and quality of life for all involved. But in the merging of two fields that have been unequal since their inception, achieving equal access is one tall order indeed. So far, it's not yet clear who or how many people will choose to participate. LunaDNA's platform has not yet launched; EncrypGen released their beta version just last month.
Sharon Terry, president and CEO of Genetic Alliance — a nonprofit organization that advocates for access to quality genetic services — recently shared a message that reflects the zeitgeist for all those entering the blockchain genomics space: "Be authentic. Tell the truth, even about motives and profits. Be transparent. Engage us. Don't leave us out. Make this real collaboration. Be bold. Take risks. People are dying. It's time to march forward and make a difference."
Scientists are making machines, wearable and implantable, to act as kidneys
Like all those whose kidneys have failed, Scott Burton’s life revolves around dialysis. For nearly two decades, Burton has been hooked up (or, since 2020, has hooked himself up at home) to a dialysis machine that performs the job his kidneys normally would. The process is arduous, time-consuming, and expensive. Except for a brief window before his body rejected a kidney transplant, Burton has depended on machines to take the place of his kidneys since he was 12-years-old. His whole life, the 39-year-old says, revolves around dialysis.
“Whenever I try to plan anything, I also have to plan my dialysis,” says Burton says, who works as a freelance videographer and editor. “It’s a full-time job in itself.”
Many of those on dialysis are in line for a kidney transplant that would allow them to trade thrice-weekly dialysis and strict dietary limits for a lifetime of immunosuppressants. Burton’s previous transplant means that his body will likely reject another donated kidney unless it matches perfectly—something he’s not counting on. It’s why he’s enthusiastic about the development of artificial kidneys, small wearable or implantable devices that would do the job of a healthy kidney while giving users like Burton more flexibility for traveling, working, and more.
Still, the devices aren’t ready for testing in humans—yet. But recent advancements in engineering mean that the first preclinical trials for an artificial kidney could happen soon, according to Jonathan Himmelfarb, a nephrologist at the University of Washington.
“It would liberate people with kidney failure,” Himmelfarb says.
An engineering marvel
Compared to the heart or the brain, the kidney doesn’t get as much respect from the medical profession, but its job is far more complex. “It does hundreds of different things,” says UCLA’s Ira Kurtz.
Kurtz would know. He’s worked as a nephrologist for 37 years, devoting his career to helping those with kidney disease. While his colleagues in cardiology and endocrinology have seen major advances in the development of artificial hearts and insulin pumps, little has changed for patients on hemodialysis. The machines remain bulky and require large volumes of a liquid called dialysate to remove toxins from a patient’s blood, along with gallons of purified water. A kidney transplant is the next best thing to someone’s own, functioning organ, but with over 600,000 Americans on dialysis and only about 100,000 kidney transplants each year, most of those in kidney failure are stuck on dialysis.
Part of the lack of progress in artificial kidney design is the sheer complexity of the kidney’s job. Each of the 45 different cell types in the kidney do something different.
Part of the lack of progress in artificial kidney design is the sheer complexity of the kidney’s job. To build an artificial heart, Kurtz says, you basically need to engineer a pump. An artificial pancreas needs to balance blood sugar levels with insulin secretion. While neither of these tasks is simple, they are fairly straightforward. The kidney, on the other hand, does more than get rid of waste products like urea and other toxins. Each of the 45 different cell types in the kidney do something different, helping to regulate electrolytes like sodium, potassium, and phosphorous; maintaining blood pressure and water balance; guiding the body’s hormonal and inflammatory responses; and aiding in the formation of red blood cells.
There's been little progress for patients during Ira Kurtz's 37 years as a nephrologist. Artificial kidneys would change that.
UCLA
Dialysis primarily filters waste, and does so well enough to keep someone alive, but it isn’t a true artificial kidney because it doesn’t perform the kidney’s other jobs, according to Kurtz, such as sensing levels of toxins, wastes, and electrolytes in the blood. Due to the size and water requirements of existing dialysis machines, the equipment isn’t portable. Physicians write a prescription for a certain duration of dialysis and assess how well it’s working with semi-regular blood tests. The process of dialysis itself, however, is conducted blind. Doctors can’t tell how much dialysis a patient needs based on kidney values at the time of treatment, says Meera Harhay, a nephrologist at Drexel University in Philadelphia.
But it’s the impact of dialysis on their day-to-day lives that creates the most problems for patients. Only one-quarter of those on dialysis are able to remain employed (compared to 85% of similar-aged adults), and many report a low quality of life. Having more flexibility in life would make a major different to her patients, Harhay says.
“Almost half their week is taken up by the burden of their treatment. It really eats away at their freedom and their ability to do things that add value to their life,” she says.
Art imitates life
The challenge for artificial kidney designers was how to compress the kidney’s natural functions into a portable, wearable, or implantable device that wouldn’t need constant access to gallons of purified and sterilized water. The other universal challenge they faced was ensuring that any part of the artificial kidney that would come in contact with blood was kept germ-free to prevent infection.
As part of the 2021 KidneyX Prize, a partnership between the U.S. Department of Health and Human Services and the American Society of Nephrology, inventors were challenged to create prototypes for artificial kidneys. Himmelfarb’s team at the University of Washington’s Center for Dialysis Innovation won the prize by focusing on miniaturizing existing technologies to create a portable dialysis machine. The backpack sized AKTIV device (Ambulatory Kidney to Increase Vitality) will recycle dialysate in a closed loop system that removes urea from blood and uses light-based chemical reactions to convert the urea to nitrogen and carbon dioxide, which allows the dialysate to be recirculated.
Himmelfarb says that the AKTIV can be used when at home, work, or traveling, which will give users more flexibility and freedom. “If you had a 30-pound device that you could put in the overhead bins when traveling, you could go visit your grandkids,” he says.
Kurtz’s team at UCLA partnered with the U.S. Kidney Research Corporation and Arkansas University to develop a dialysate-free desktop device (about the size of a small printer) as the first phase of a progression that will he hopes will lead to something small and implantable. Part of the reason for the artificial kidney’s size, Kurtz says, is the number of functions his team are cramming into it. Not only will it filter urea from blood, but it will also use electricity to help regulate electrolyte levels in a process called electrodeionization. Kurtz emphasizes that these additional functions are what makes his design a true artificial kidney instead of just a small dialysis machine.
One version of an artificial kidney.
UCLA
“It doesn't have just a static function. It has a bank of sensors that measure chemicals in the blood and feeds that information back to the device,” Kurtz says.
Other startups are getting in on the game. Nephria Bio, a spinout from the South Korean-based EOFlow, is working to develop a wearable dialysis device, akin to an insulin pump, that uses miniature cartridges with nanomaterial filters to clean blood (Harhay is a scientific advisor to Nephria). Ian Welsford, Nephria’s co-founder and CTO, says that the device’s design means that it can also be used to treat acute kidney injuries in resource-limited settings. These potentials have garnered interest and investment in artificial kidneys from the U.S. Department of Defense.
For his part, Burton is most interested in an implantable device, as that would give him the most freedom. Even having a regular outpatient procedure to change batteries or filters would be a minor inconvenience to him.
“Being plugged into a machine, that’s not mimicking life,” he says.
This article was first published by Leaps.org on May 5, 2022.
With this new technology, hospitals and pharmacies could make vaccines and medicines onsite
Most modern biopharmaceutical medicines are produced by workhorse cells—typically bacterial but sometimes mammalian. The cells receive the synthesizing instructions on a snippet of a genetic code, which they incorporate into their DNA. The cellular machinery—ribosomes, RNAs, polymerases, and other compounds—read and use these instructions to build the medicinal molecules, which are harvested and administered to patients.
Although a staple of modern pharma, this process is complex and expensive. One must first insert the DNA instructions into the cells, which they may or may not uptake. One then must grow the cells, keeping them alive and well, so that they produce the required therapeutics, which then must be isolated and purified. To make this at scale requires massive bioreactors and big factories from where the drugs are distributed—and may take a while to arrive where they’re needed. “The pandemic showed us that this method is slow and cumbersome,” says Govind Rao, professor of biochemical engineering who directs the Center for Advanced Sensor Technology at the University of Maryland, Baltimore County (UMBC). “We need better methods that can work faster and can work locally where an outbreak is happening.”
Rao and his team of collaborators, which spans multiple research institutions, believe they have a better approach that may change medicine-making worldwide. They suggest forgoing the concept of using living cells as medicine-producers. Instead, they propose breaking the cells and using the remaining cellular gears for assembling the therapeutic compounds. Instead of inserting the DNA into living cells, the team burst them open, and removed their DNA altogether. Yet, the residual molecular machinery of ribosomes, polymerases and other cogwheels still functioned the way it would in a cell. “Now if you drop your DNA drug-making instructions into that soup, this machinery starts making what you need,” Rao explains. “And because you're no longer worrying about living cells, it becomes much simpler and more efficient.” The collaborators detail their cell-free protein synthesis or CFPS method in their recent paper published in preprint BioAxiv.
While CFPS does not use living cells, it still needs the basic building blocks to assemble proteins from—such as amino acids, nucleotides and certain types of enzymes. These are regularly added into this “soup” to keep the molecular factory chugging. “We just mix everything in as a batch and we let it integrate,” says James Robert Swartz, professor of chemical engineering and bioengineering at Stanford University and co-author of the paper. “And we make sure that we provide enough oxygen.” Rao likens the process to making milk from milk powder.
For a variety of reasons—from the field’s general inertia to regulatory approval hurdles—the method hasn’t become mainstream. The pandemic rekindled interest in medicines that can be made quickly and easily, so it drew more attention to the technology.
The idea of a cell-free protein synthesis is older than one might think. Swartz first experimented with it around 1997, when he was a chemical engineer at Genentech. While working on engineering bacteria to make pharmaceuticals, he discovered that there was a limit to what E. coli cells, the workhorse darling of pharma, could do. For example, it couldn’t grow and properly fold some complex proteins. “We tried many genetic engineering approaches, many fermentation, development, and environmental control approaches,” Swartz recalls—to no avail.
“The organism had its own agenda,” he quips. “And because everything was happening within the organism, we just couldn't really change those conditions very easily. Some of them we couldn’t change at all—we didn’t have control.”
It was out of frustration with the defiant bacteria that a new idea took hold. Could the cells be opened instead, so that the protein-forming reactions could be influenced more easily? “Obviously, we’d lose the ability for them to reproduce,” Swartz says. But that also meant that they no longer needed to keep the cells alive and could focus on making the specific reactions happen. “We could take the catalysts, the enzymes, and the more complex catalysts and activate them, make them work together, much as they would in a living cell, but the way we wanted.”
In 1998, Swartz joined Stanford, and began perfecting the biochemistry of the cell-free method, identifying the reactions he wanted to foster and stopping those he didn’t want. He managed to make the idea work, but for a variety of reasons—from the field’s general inertia to regulatory approval hurdles—the method hasn’t become mainstream. The pandemic rekindled interest in medicines that can be made quickly and easily, so it drew more attention to the technology. For their BioArxiv paper, the team tested the method by growing a specific antiviral protein called griffithsin.
First identified by Barry O’Keefe at National Cancer Institute over a decade ago, griffithsin is an antiviral known to interfere with many viruses’ ability to enter cells—including HIV, SARS, SARS-CoV-2, MERS and others. Originally isolated from the red algae Griffithsia, it works differently from antibodies and antibody cocktails.
Most antiviral medicines tend to target the specific receptors that viruses use to gain entry to the cells they infect. For example, SARS-CoV-2 uses the infamous spike protein to latch onto the ACE2 receptor of mammalian cells. The antibodies or other antiviral molecules stick to the spike protein, shutting off its ability to cling onto the ACE2 receptors. Unfortunately, the spike proteins mutate very often, so the medicines lose their potency. On the contrary, griffithsin has the ability to cling to the different parts of viral shells called capsids—namely to the molecules of mannose, a type of sugar. That extra stuff, glued all around the capsid like dead weight, makes it impossible for the virus to squeeze into the cell.
“Every time we have a vaccine or an antibody against a specific SARS-CoV-2 strain, that strain then mutates and so you lose efficacy,” Rao explains. “But griffithsin molecules glom onto the viral capsid, so the capsid essentially becomes a sticky mess and can’t enter the cell.” Mannose molecules also don’t mutate as easily as viruses’ receptors, so griffithsin-based antivirals do not have to be constantly updated. And because mannose molecules are found on many viruses’ capsids, it makes griffithsin “a universal neutralizer,” Rao explains.
“When griffithsin was discovered, we recognized that it held a lot of promise as a potential antiviral agent,” O’Keefe says. In 2010, he published a paper about griffithsin efficacy in neutralizing viruses of the corona family—after the first SARS outbreak in the early 2000s, the scientific community was interested in such antivirals. Yet, griffithsin is still not available as an off-the-shelf product. So during the Covid pandemic, the team experimented with synthesizing griffithsin using the cell-free production method. They were able to generate potent griffithsin in less than 24 hours without having to grow living cells.
The antiviral protein isn't the only type of medicine that can be made cell-free. The proteins needed for vaccine production could also be made the same way. “Such portable, on-demand drug manufacturing platforms can produce antiviral proteins within hours, making them ideal for combating future pandemics,” Rao says. “We would be able to stop the pandemic before it spreads.”
Top: Describes the process used in the study. Bottom: Describes how the new medicines and vaccines could be made at the site of a future viral outbreak.
Image courtesy of Rao and team, sourced from An approach to rapid distributed manufacturing of broad spectrumanti-viral griffithsin using cell-free systems to mitigate pandemics.
Rao’s idea is to perfect the technology to the point that any hospital or pharmacy can load up the media containing molecular factories, mix up the required amino acids, nucleotides and enzymes, and harvest the meds within hours. That will allow making medicines onsite and on demand. “That would be a self-contained production unit, so that you could just ship the production wherever the pandemic is breaking out,” says Swartz.
These units and the meds they produce, will, of course, have to undergo rigorous testing. “The biggest hurdles will be validating these against conventional technology,” Rao says. The biotech industry is risk-averse and prefers the familiar methods. But if this approach works, it may go beyond emergency situations and revolutionize the medicine-making paradigm even outside hospitals and pharmacies. Rao hopes that someday the method might become so mainstream that people may be able to buy and operate such reactors at home. “You can imagine a diabetic patient making insulin that way, or some other drugs,” Rao says. It would work not unlike making baby formula from the mere white powder. Just add water—and some oxygen, too.
Lina Zeldovich has written about science, medicine and technology for Popular Science, Smithsonian, National Geographic, Scientific American, Reader’s Digest, the New York Times and other major national and international publications. A Columbia J-School alumna, she has won several awards for her stories, including the ASJA Crisis Coverage Award for Covid reporting, and has been a contributing editor at Nautilus Magazine. In 2021, Zeldovich released her first book, The Other Dark Matter, published by the University of Chicago Press, about the science and business of turning waste into wealth and health. You can find her on http://linazeldovich.com/ and @linazeldovich.