It's great seeing folks apply PETs to key problems, no matter how theoretical they might seem now as evidenced by the comments. PoCs like this are steps in the right direction to make such work and ideas practical.
If any of you are looking to try out Stoffel, you can check out our docs at docs.stoffelmpc.com or go to our github repo: https://github.com/Stoffel-Labs/stoffel
In genetics the end user is never the consumer. You have to collect blood, prepare it, sequence it. These are all highly specialised steps in which something will and can go wrong, and that’s why typically a hospital carries them out. That’s before even getting the device to do sequencing. The cheapest nanopore comes you at a couple ten thousand euros. Given the premise your work strikes me as oddly theoretical. Who is that mystery home DNA lab that needs decentralised private compute?
Also, and funnily enough, for much of the genomic pipelines to run (eg a paternity test or a cancer test), a home computer is sufficient. Again, of course, you would need proper medical training to read, interpret and judge the results, which is why a hospital does it… so what problem exactly are you solving?
If you look at a previous experiment we did, the costs for getting genotyped are pretty moderate (<$80) and going down further. Blended genome-exome (<$150) and full genome sequencing (<$500) are getting cheaper as well.
Through our Explorer product (https://explorer.monadicdna.com/) we let people glean information about their genome using GWAS Catalog data.
This PoC addresses the next step, i.e. how to keep genetic data private at the user level while still allowing aggregate studies to happen, with or without financial incentives.
That's a kit for sample collection. You would then ship off your sample to the company in question, and they would do the actual sequencing, and then send the DNA data and genetic variants they've inferred back to you. I think that defeats what the article author is trying to accomplish, since you still share your entire genome with a third party.
This!
And even if you could magically have a 1000$ sequencer at home, you still need to correctly extract the blood, and apply the kit. It sounds easy but really isn’t, this isn’t home baking but PCR, where it’s easy to mess up. You need to know when a result is a true positive and whether your sample is useful / correctly collected.
Maybe an inspired bioinformatics citizen lab can do it, but it’s bizarre to think the average consumer would do it. It’s not as simple as taking a drop of blood beep boop result like it is for insulin tests and I don’t think it’ll be like that for a very long time to come.
Yes, I'm aware. I'm also aware that Oxford Nanopore now sells a $5,150 MinION pack containing the sequencer, five full flow cells, and a sequencing kit. Admittedly it's not targeted at whole human genomes, for which Oxford sells PromethION. But I'm not going to say it couldn't be done. And for much less than the [inflation adjusted] cost of my first computer. Even starting from an empty bench you're looking at $7 - $10k.
We have shown that we can batch user samples and then send them anonymously to the lab. Users can then use an MPC protocol to securely fetch their data without losing anonymity.
We plan to roll out a product called Batcher which does this soon.
I'm not sure I understand how that that would make a material difference. The company might not know who submitted each sample, but the company would still have their entire genomes in their possession. That is no different, than if somebody obtained the data from a biobank. The data in biobanks is normally also anonymized, insofar that you can anonymize whole-genome DNA data
So essentially you’re telling people:
“Don’t use the evil labs they can read your DNA, instead send DNA to our lab and with magic maths we won’t be able to read your DNA but diagnose you!”
couldn't this argument could be made against a lot of scientific research? i bet it took a long time for the average consumer to benefit from the discovery of the double helix structure of the DNA.
and the government funds that kind of stuff even. so what's wrong with a private person doing it?
Very interesting project! I can imagine usefulness even beyond the intended use case, namely in joining the information from multiple large genomics studies. The sharing and access of such data becomes increasingly difficult, and by this approach one could increase the effective sample size while keeping the data private.
> Most genomic studies begin by asking participants to upload one of the most identifying and irrevocable pieces of data they own, their DNA.
I'm curious what the author means by "asking participants to upload ... their DNA", because I am not aware of any study that asked participants to do that.
You're right, most analyses are done using biobanks, etc right now. The sentence is an oversimplification but people still implicitly contribute their data to insecure and centralized sources.
If we can enable people to get sequenced not just when they are sick but for altruistic or financial reasons without leaking their DNA data, we could unlock much bigger datasets than currently available, especially from populations that are underrepresented or ignored.
It's a very interesting project. What are the big picture goals? I am asking from the POV of having spoken to many people in the genomics data ecosystem, such as pharmaceutical "chief commercialization officers," not just engineers.
okay, it's interesting that you chose those three goals, i would have picked three very different goals (i support your mission don't misunderstand me). here is an illuminating reason why:
let's say i recorded a video of the ENTIRE end user experience of (A) collecting the genomics data with your solution (B) using an existing solution. which scene in the video would be different?
see, the problem is, not a single scene would be different.
Founder of stoffelmpc.com here.
Thank you vishakh82 for sharing.
It's great seeing folks apply PETs to key problems, no matter how theoretical they might seem now as evidenced by the comments. PoCs like this are steps in the right direction to make such work and ideas practical.
If any of you are looking to try out Stoffel, you can check out our docs at docs.stoffelmpc.com or go to our github repo: https://github.com/Stoffel-Labs/stoffel
In genetics the end user is never the consumer. You have to collect blood, prepare it, sequence it. These are all highly specialised steps in which something will and can go wrong, and that’s why typically a hospital carries them out. That’s before even getting the device to do sequencing. The cheapest nanopore comes you at a couple ten thousand euros. Given the premise your work strikes me as oddly theoretical. Who is that mystery home DNA lab that needs decentralised private compute? Also, and funnily enough, for much of the genomic pipelines to run (eg a paternity test or a cancer test), a home computer is sufficient. Again, of course, you would need proper medical training to read, interpret and judge the results, which is why a hospital does it… so what problem exactly are you solving?
There are many motivations for consumer genomics and they might pick up further.
https://vishakh.blog/2025/07/08/using-mpc-for-anonymous-and-...
If you look at a previous experiment we did, the costs for getting genotyped are pretty moderate (<$80) and going down further. Blended genome-exome (<$150) and full genome sequencing (<$500) are getting cheaper as well.
Through our Explorer product (https://explorer.monadicdna.com/) we let people glean information about their genome using GWAS Catalog data.
This PoC addresses the next step, i.e. how to keep genetic data private at the user level while still allowing aggregate studies to happen, with or without financial incentives.
https://www.the-odin.com/
$599 for 30x coverage sequencing of any whole genome: https://www.the-odin.com/whole-genome-sequencing-30x/
Or purchase the equipment you need to DIY.
That's a kit for sample collection. You would then ship off your sample to the company in question, and they would do the actual sequencing, and then send the DNA data and genetic variants they've inferred back to you. I think that defeats what the article author is trying to accomplish, since you still share your entire genome with a third party.
The actual instruments used by that company are a whole lot more expensive, and you have to buy reagents as well: https://www.machinio.com/illumina/dna-sequencers
This! And even if you could magically have a 1000$ sequencer at home, you still need to correctly extract the blood, and apply the kit. It sounds easy but really isn’t, this isn’t home baking but PCR, where it’s easy to mess up. You need to know when a result is a true positive and whether your sample is useful / correctly collected. Maybe an inspired bioinformatics citizen lab can do it, but it’s bizarre to think the average consumer would do it. It’s not as simple as taking a drop of blood beep boop result like it is for insulin tests and I don’t think it’ll be like that for a very long time to come.
Yes, I'm aware. I'm also aware that Oxford Nanopore now sells a $5,150 MinION pack containing the sequencer, five full flow cells, and a sequencing kit. Admittedly it's not targeted at whole human genomes, for which Oxford sells PromethION. But I'm not going to say it couldn't be done. And for much less than the [inflation adjusted] cost of my first computer. Even starting from an empty bench you're looking at $7 - $10k.
We have shown that we can batch user samples and then send them anonymously to the lab. Users can then use an MPC protocol to securely fetch their data without losing anonymity.
We plan to roll out a product called Batcher which does this soon.
I'm not sure I understand how that that would make a material difference. The company might not know who submitted each sample, but the company would still have their entire genomes in their possession. That is no different, than if somebody obtained the data from a biobank. The data in biobanks is normally also anonymized, insofar that you can anonymize whole-genome DNA data
The idea is to create an incentive or altruistic mechanism for people to contribute their data without losing anonymity and privacy.
So essentially you’re telling people: “Don’t use the evil labs they can read your DNA, instead send DNA to our lab and with magic maths we won’t be able to read your DNA but diagnose you!”
Sounds about right to me
Not our lab. We simply aggregate the anonymous samples and then work with third party accredited labs.
Have you used them? Interested myself
couldn't this argument could be made against a lot of scientific research? i bet it took a long time for the average consumer to benefit from the discovery of the double helix structure of the DNA.
and the government funds that kind of stuff even. so what's wrong with a private person doing it?
Very interesting project! I can imagine usefulness even beyond the intended use case, namely in joining the information from multiple large genomics studies. The sharing and access of such data becomes increasingly difficult, and by this approach one could increase the effective sample size while keeping the data private.
Thanks! And, yes, exactly..MPC can be a boon for such data sharing.
> Most genomic studies begin by asking participants to upload one of the most identifying and irrevocable pieces of data they own, their DNA.
I'm curious what the author means by "asking participants to upload ... their DNA", because I am not aware of any study that asked participants to do that.
You're right, most analyses are done using biobanks, etc right now. The sentence is an oversimplification but people still implicitly contribute their data to insecure and centralized sources.
If we can enable people to get sequenced not just when they are sick but for altruistic or financial reasons without leaking their DNA data, we could unlock much bigger datasets than currently available, especially from populations that are underrepresented or ignored.
MPC for Multi-Party Computation, not for Model Predictive Control.
Nowadays people would have guessed it was Model Context Protocol.
It's a very interesting project. What are the big picture goals? I am asking from the POV of having spoken to many people in the genomics data ecosystem, such as pharmaceutical "chief commercialization officers," not just engineers.
Let people get their DNA sequenced without giving up anonymity or privacy.
Let people benefit from DNA data analysis without the data leaving their device or sphere of control.
Let people monetize their genetic data without compromising their security.
okay, it's interesting that you chose those three goals, i would have picked three very different goals (i support your mission don't misunderstand me). here is an illuminating reason why:
let's say i recorded a video of the ENTIRE end user experience of (A) collecting the genomics data with your solution (B) using an existing solution. which scene in the video would be different?
see, the problem is, not a single scene would be different.
I think I understand what you’re saying.
We’re focusing on an incremental improvement.
There are people actively working on private home sequencing, at home analysis devices, etc and they’re best placed to do it.
We’re trying to get ahead of a near future where people, implicitly or explicitly, are paid for their genetic data in insecure or exploitative ways.