DNA testing used to be the biohacker’s first purchase. Spit in a tube, upload your raw data, and let the algorithms tell you which foods, workouts, and supplements your genes prefer. The landscape in 2026 looks very different from the one the old guides describe, and some of the names those guides recommend no longer exist as independent companies.
Here is what the market actually offers now, what the science can and cannot tell you, and how to use genetic data without fooling yourself.
The Industry Shook Out. Here Is What Happened.
The biggest event in consumer genetics was the collapse of 23andMe. The company filed for Chapter 11 bankruptcy in March 2025 after years of losses and a 2023 data breach that exposed the information of roughly 7 million users. After a bankruptcy auction that drew a $256 million bid from Regeneron, the company’s assets were ultimately acquired for $305 million by TTAM Research Institute, a nonprofit led by 23andMe co-founder Anne Wojcicki. The deal closed in July 2025.
That history matters for two reasons. First, it is a reminder that your genetic data is an asset that can change hands when a company fails. Fifteen million people’s DNA profiles were effectively sold in bankruptcy court. Second, the company’s future as a consumer product is less certain than it was. 23andMe kits may still be available, but buying one now means trusting a newly reorganized entity with the most personal data you own.
DNAfit, once the go-to brand for fitness genetics in the UK, is also gone as an independent product. Its domain now redirects to CircleDNA. And Basepaws, which some older guides list alongside human tests, is a pet DNA company. It tests cats, not biohackers.
The survivors and the serious new entrants are worth a closer look.
What to Look for Before You Buy
Not all DNA tests measure the same thing. Understanding the technology tells you what you are actually paying for.
Genotyping vs. Whole-Genome Sequencing
Most consumer kits use genotyping, which reads a few hundred thousand specific genetic markers (SNPs) out of the three billion base pairs in your genome. It is cheap and fast, but it only looks at known positions. Whole-genome sequencing reads nearly everything, costs more, and produces data you can re-analyze for years as science advances. For a biohacker who wants one test that keeps paying off, whole-genome sequencing is the stronger long-term buy.
Raw Data Access
The real value of a DNA test often comes after the kit. If a company lets you download your raw data file, you can run it through third-party interpretation tools, research databases, and updated algorithms for years. Companies that lock your data inside their own app give you a one-time report. Prefer companies that give you the file.
Privacy Terms
Read the data policy, not the marketing page. Ask three questions. Can the company sell or share your de-identified data with third parties? What happens to your data if the company is acquired or goes bankrupt? Can you delete your data and your sample permanently? In the US, the Genetic Information Nondiscrimination Act (GINA) protects against genetic discrimination in health insurance and employment, but it does not cover life insurance, disability insurance, or long-term care insurance. That gap is real and worth knowing before you test.
DNA Tests Compared: Which Type Fits Your Goal?
Tap a tab to compare the three main DNA test types on coverage, cost, and limits.
Best for: getting started
SNP genotyping chips read roughly 600,000 common markers across your genome. This is the technology behind most consumer ancestry and trait reports.
- Coverage: common variants only, misses rare ones
- Typical cost: lowest of the three, often under a few hundred dollars
- Best for: ancestry, common trait reports, first look at your genetics
- Limits: cannot see rare or novel variants; trait predictions are probabilistic
- Privacy note: read the data sharing policy before you spit
Best for: a health deep dive
Whole exome sequencing reads the protein coding 1 to 2 percent of your genome, where most known disease linked variants live.
- Coverage: all protein coding regions
- Typical cost: mid range, higher than genotyping
- Best for: investigating health related variants with a clinician
- Limits: misses non coding regions; interpretation needs expertise
Best for: the complete picture
Whole genome sequencing reads nearly all 3 billion base pairs, the most complete snapshot available.
- Coverage: coding and non coding regions
- Typical cost: highest, plus data storage
- Best for: future proofing your data as science advances
- Limits: huge data volume; much of it is not yet interpretable
The Best DNA Tests for Biohackers Right Now
Best for Serious Biohackers: Whole-Genome Sequencing (Nebula Genomics)
Nebula Genomics offers consumer whole-genome sequencing, typically in the few-hundred-dollar range depending on depth of coverage and promotions. You get your full genome, ongoing updated reports as research evolves, and raw data access. The downside is that whole-genome data is only as useful as the interpretation layered on top of it, and the health reports are less polished than what the old 23andMe experience offered. For a biohacker comfortable with third-party tools and primary literature, this is the deepest data per dollar.
Best Fitness-Focused: FitnessGenes
FitnessGenes, a UK-based company, built its product specifically around exercise and nutrition genetics: power versus endurance orientation, recovery traits, appetite regulation, and related markers. It pairs results with workout and nutrition planning. The fitness-genetics literature it draws on is thinner than the marketing implies, which is true across this entire category, but as a structured starting point for training personalization it is one of the more coherent products.
Best Ancestry Plus Health (With Caveats): MyHeritage or 23andMe
MyHeritage remains a stable option for ancestry with some health add-ons, and it has not been through a bankruptcy. If you specifically want the classic 23andMe-style experience, the company still exists under its new nonprofit ownership, but go in with open eyes about the breach history and the ownership change. Check the current privacy terms before ordering, and use the data-deletion options aggressively if you decide to test.
Best Budget Path: Genotype Once, Interpret Forever
The cheapest serious strategy is to buy one affordable genotyping kit from an established company, download the raw data, and run it through independent interpretation tools. Genetic Lifehacks, founded by a genetics researcher, offers research-cited reports on your raw data for a small fee and links each claim to published papers. This approach separates the data collection (a commodity) from the interpretation (where the actual value lives), and it means you are not dependent on one company's app surviving.
What About CircleDNA?
CircleDNA absorbed the old DNAfit brand and sells a large panel of reports, including sports and injury-risk categories. Treat injury-risk predictions with particular skepticism. The underlying sports-genetics literature on tendon and ligament injury is weak, with major reviews concluding the associations do not replicate well enough to guide training. Generic good advice (warm up, strengthen, progress gradually) does not become personalized medicine because a genotype is attached to it.
What Your Results Can Actually Tell You
Here is the honest accounting. Consumer DNA tests are genuinely good at a few things and oversold on many others.
They are good at ancestry, carrier status for well-studied single-gene conditions, and a handful of pharmacogenomic markers, such as how you metabolize certain drugs. These rest on strong, replicated science.
They are moderately useful for polygenic risk scores, which combine thousands of small-effect variants into a risk estimate for conditions like heart disease or type 2 diabetes. These are improving but remain probabilistic, population-calibrated, and less accurate for people of non-European ancestry, since most genome-wide association studies were done in European populations.
They are weakest at the things biohackers most want: which diet is optimal for you, which supplements you need, whether you are a "natural endurance athlete." Most nutrigenomic claims rest on single studies of variants with tiny effect sizes that often fail to replicate. A gene variant associated with slightly slower caffeine metabolism is real. A test telling you to avoid gluten because of a variant is not practicing science; it is practicing marketing.
Use DNA results as hypotheses, not prescriptions. If your data suggests you are a slow caffeine metabolizer, that is worth testing against your own experience with an afternoon cutoff. If it suggests lactose intolerance, a two-week elimination trial will tell you more than the genotype did. The test proposes; your own tracked experiments dispose.
How to Use Your Data Without Fooling Yourself
Start with the highest-confidence findings: ancestry, carrier status, and drug-response markers. Discuss anything medical with your doctor or a genetic counselor, especially if a result suggests elevated risk for a serious condition. Direct-to-consumer reports are screening tools, not diagnoses, and false positives happen.
For lifestyle optimization, treat genetic insights as one input among many. Sleep tracking, blood work, and how you actually feel and perform will almost always outweigh a SNP. No variant overrides the basics: train consistently, eat mostly whole foods, sleep enough, and manage stress.
Revisit your data annually. The interpretation of your genome improves as research advances, which is the strongest argument for whole-genome sequencing or at least downloading your raw file. A report you got in 2026 will look primitive next to what the same data can tell you in 2030.
And guard the file. Download it, store it securely, delete your sample from the company's biobank if that option exists, and think carefully before uploading it to every new app that asks. Your genome does not change, which means a privacy mistake involving it is permanent.
DNA testing remains one of the most interesting tools in the biohacker kit, but it works best as a long-term data asset managed with skepticism, not as a one-time quiz that tells you what to eat. Buy the data, own the file, and let the science catch up to the marketing on your schedule, not theirs.
Related reading on thebiohack.org: which biohacks actually work and which are a waste of money, are supplements a waste of money, and how much protein you actually need per day.
