Gencove for Partners

The genetics infrastructure forhealth platforms

White-label polygenic risk scores, end-to-end kit fulfillment, and a developer-ready API, all under your brand.

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Our track record so far.

1M+Samples processed

100+Peer-reviewed publications

7+Years in genomics

Give every member a permanent signal that contextualizes every lab, every scan, and every recommendation they will ever receive.

The difference genetics makes

Borderline cholesterol looks different with inherited coronary risk

A common lipid panel can look only mildly abnormal. A coronary artery disease PRS can reveal when the same result sits on top of elevated inherited risk.

Without geneticsBlood lab

LDL-C 158 mg/dL Borderline

Interpretation

LDL cholesterol is elevated.

Recommend lifestyle review, repeat testing, and treatment decisions based on age, blood pressure, and calculated risk.

Can act on LDL, age, blood pressure, and lifestyle inputs.
Can't see inherited coronary risk behind the result.

With Gencove geneticsLab + genotype

LDL-C 158 mg/dL Borderline

Genetic context

Coronary artery disease risk percentile 96%

Personalized interpretation

Borderline LDL sits on top of high inherited coronary risk.

Use the elevated PRS result to prioritize earlier prevention planning, provider review, and tighter cardiometabolic follow-up.

A PSA flag becomes more actionable with inherited risk

PSA alone can trigger watchful waiting or a repeat test. Genetics helps distinguish a routine abnormality from a higher-priority risk profile.

Without geneticsBlood lab

PSA 4.7 ng/mL High

Interpretation

Above the reference range.

Repeat PSA, assess symptoms and medications, and consider urology referral depending on age and clinical context.

Can act on elevated PSA and clinical context.
Can't see inherited prostate cancer risk during triage.

With Gencove geneticsLab + PRS

PSA 4.7 ng/mL High

Genetic context

Prostate cancer risk percentile 98%

Personalized interpretation

The same PSA result carries more urgency.

Use the elevated inherited risk to prioritize shared decision-making, earlier specialist review, and follow-up cadence.

A normal hormone panel does not rule out endometriosis risk

Endometriosis affects 1 in 9 women and carries an average diagnostic delay of 7-11 years. Standard hormonal workups are structurally unable to detect it; normal labs are not the same as no risk.

Without geneticsHormone panel

Estradiol 94 pg/mL Normal

Interpretation

Hormonal panel within reference ranges.

Estradiol, progesterone, and inflammatory markers are unremarkable. Painful cycle symptoms may be primary dysmenorrhea. Monitor and reassess.

Can document normal hormone markers and symptoms.
Can't rule out inherited endometriosis risk.

With Gencove geneticsHormone panel + PRS

Estradiol 94 pg/mL Normal

Genetic context

Endometriosis risk percentile 91%

Personalized interpretation

Genetics surfaces an inherited predisposition that a normal hormone panel can't detect.

Flag for earlier specialist referral and consider endometriosis as a priority rather than a late-stage conclusion, potentially years ahead of a standard diagnostic pathway.

Low vitamin D can be interpreted against genetic baseline

The lab result is clearly low. Polygenic risk can show whether the member is genetically predisposed to lower baseline vitamin D levels.

Without geneticsBlood lab

25-OH Vitamin D 14 ng/mL Low

Interpretation

Below the target range.

Recommend supplementation, more sunlight exposure where appropriate, and recheck after an intervention period.

Can treat the current low result.
Can't tell whether low baseline vitamin D is genetically likely.

With Gencove geneticsLab + PRS

25-OH Vitamin D 14 ng/mL Low

Genetic context

Vitamin D level percentile 2%

Personalized interpretation

Genetics suggests a structural baseline tendency that may make this look like a chronic predisposition rather than a seasonal dip.

Set expectations for maintenance dosing and monitoring instead of treating this as a one-time seasonal dip.

Sleep disruption may have two genetic explanations working together

A member reporting poor sleep and afternoon energy crashes may be getting generic advice that ignores their biology. Chronotype PRS and caffeine metabolism status can together reveal what generic guidance missed.

Without geneticsSelf-report

Sleep quality Poor self-reported Flagged

Interpretation

Sleep hygiene may need attention.

Avoid screens before bed, maintain a consistent sleep schedule, limit caffeine after 2pm, and consider earlier wind-down routines.

Can recommend standard sleep hygiene from self-report.
Can't account for circadian tendency or caffeine metabolism.

With Gencove geneticsSelf-report + PRS + variant

Sleep quality Poor self-reported Flagged

Genetic context

Evening chronotype PRS + CYP1A2 CC slow caffeine metabolism 2×

Personalized interpretation

Genetics explains why generic sleep hygiene may miss.

Earlier wind-down targets may work against natural rhythm. Caffeine after noon may also stay active into bedtime for this profile.

Consistently low recovery scores may reflect inherited inflammatory tendency

A wearable like WHOOP can measure that recovery is poor. Genetics may help explain why, and shift the recommendation from generic rest to more targeted support.

Without geneticsWearable

HRV recovery score 34 / 100 Low

Interpretation

Recovery is below your baseline.

Prioritize sleep, reduce training load, and ensure adequate nutrition and hydration before your next high-intensity session.

Can flag recovery below the member's baseline.
Can't explain whether inherited inflammation affects recovery.

With Gencove geneticsWearable + variant

HRV recovery score 34 / 100 Low

Genetic context

IL-1 beta high-producer genotype associated with slower subjective recovery IL-1β

Personalized interpretation

Genetics helps explain what HRV is measuring.

This member may have a stronger inflammatory response to training load, making recovery nutrition, sleep, and pacing more important.

A high ferritin result becomes a more precise next step

Labs can show that iron stores are elevated. Genetics can explain whether inherited iron overload should be part of the clinical workup.

Without geneticsBlood lab

Ferritin 412 ng/mL High

Interpretation

Iron stores are elevated.

Recommend repeat ferritin, iron saturation, liver markers, and a review of inflammation, alcohol, supplements, and diet.

Can follow up on high ferritin and iron labs.
Can't see inherited hemochromatosis risk from the lab alone.

With Gencove geneticsLab + genotype

Ferritin 412 ng/mL High

Genetic context

HFE variants detected, consistent with hemochromatosis risk HFE

Personalized interpretation

Elevated ferritin now has a plausible inherited driver.

Prioritize transferrin saturation, family history review, and provider follow-up for hereditary hemochromatosis.

The platform

Nine validated reports, 70+ million variants, and kits shipped to your members

A complete stack, from kit fulfillment to API delivery, purpose-built for health platform partners.

Genetic data and reports

Nine clinically validated PRS reports

Coronary artery disease, hypercholesterolemia, atrial fibrillation
Type 2 diabetes, obesity and BMI, chronic kidney disease
Breast, colorectal, and prostate cancer predisposition
Anchored to the eMERGE framework from Nature Medicine
Ancestry-adjusted across 23 reference populations
Formal risk thresholds backed by longitudinal data

Library of 80 vetted PRS scores

Additional cancers, cardiovascular, and metabolic conditions
Sleep, musculoskeletal health, and more
All delivered as structured JSON via API
Curated by Gencove's bioinformatics team

Variant-level API access

Query 70+ million variants by rsID, position, or range
No VCF download required
No bioinformatics expertise needed
Build pharmacogenomic and monogenic trait features
Power AI-driven insights on your members' genome data

Integration and infrastructure

API with OAuth and webhooks

Kit ordering in one API call
Results retrievable in one API call
OAuth 2.0 for member authorization

Kit fulfillment and logistics

White-label or co-branded kits
Direct-to-member shipping
Failed-sample replacement at no charge
Sequencing at CAP and CLIA accredited labs in the US
Members with existing 23andMe or Ancestry data can upload their file, with results within 24 hours and no kit required

Secure storage and data management

Encrypted at rest and in transit
Unlimited storage for sample data

See how kit ordering, webhooks, and results work in the API Read the DTC Partner Integration docs

The technology

Low-pass whole genome sequencing

We are deliberately anchored to low-pass whole genome sequencing at 0.5x coverage, imputed to 70+ million variants, delivering genome-wide data from $49 per sample, plus shipping. For polygenic conditions, PRS performance is equivalent to 30x. For many common monogenic traits, accuracy is comparable too. 30x is priced for research labs and clinical diagnostics. From $49, a genetic baseline becomes something every member can have.

	lpWGS (Gencove)	Array genotyping	30x WGS
Coverage	Entire genome, imputed to 70M+ variants	Pre-selected ~500k-2M sites only	Entire genome at high depth
PRS performance	Equivalent to 30x for polygenic conditions	Reduced, limited to array sites	Equivalent to lpWGS for polygenic conditions
Ancestry performance	Strong across diverse populations	Optimised for European ancestry	Strong across diverse populations
Future-proofing	New insights from existing data. No retesting.	Locked to chip design. May require retesting.	New insights computable. No retesting.
Price per member	From $49 + shipping	~$50-$100	$699-$1,499+
Clinically validated?	eMERGE framework: formal risk thresholds for 9 conditions	Varies; many lack formal clinical thresholds	CLIA lab ≠ clinical validation. Requires physician interpretation.
Best for	Consumer health platforms at scale	Ancestry and basic wellness traits	Research, rare variant detection, clinical diagnostics

Note: 30x sequencing at a CLIA-accredited lab is not the same as a clinically validated test. Clinical validation requires the assay, pipeline, variant class, and interpretation workflow to be validated for the specific claim being made.

Enabling discovery

Genetics collected today becomes a strategic asset tomorrow

As your member base grows, genome-wide data enables your team to build insights no competitor can replicate, without ever asking a member to retest.

Proprietary PRS on your members

As your member base reaches GWAS scale, Gencove's bioinformatics team can help you run novel discovery and build polygenic scores tuned to your own population. Insights your competitors cannot replicate, built on genetics collected at sign-up.

Compute new insights without retesting

When the science moves (a new GLP-1 pharmacogenomics paper, a new cancer PRS, a newly validated condition), your team can compute new insights from existing member data. The genome is permanent. The value compounds over time.

How it works

Two ways to get genetic data into your product

Two integration paths. One for new sequencing, one for members who already have genetic data.

Step 01

Order a kit or accept an upload

Trigger a kit order with a single API call, and Gencove handles fulfillment and shipping. Or let members import existing 23andMe or Ancestry data.

One API call to order

Step 02

We sequence, impute, and analyze

Our CAP and CLIA accredited lab processes the sample at 0.5x coverage and imputes genome-wide data across 70+ million variants. You receive a webhook when results are ready.

Results in 3-4 weeks

Step 03

Pull results into your product

Retrieve a consumer-ready PRS report with one API call, or use the variant-level API to build your own experience on top of structured JSON data.

One API call for results

See how kit ordering, webhooks, and results work in the API Read the DTC Partner Integration docs

Resources

Built for teams building in health

Technical and scientific resources to help your team evaluate, implement, and communicate genetics to members.

White paper

Why low-pass whole genome sequencing outperforms arrays for consumer health

A technical comparison of lpWGS, array genotyping, and 30x WGS, covering PRS performance, ancestry, future-proofing, and price.

Request the white paper

Case study

GLP-1 pharmacogenomics: what the science says and what it means for your members

Based on a Nature paper published in April 2026: GLP1R variants associated with treatment response and side effect risk in 27,885 patients.

Request the case study

Pricing

Two plans, based on your volume

Pay an annual platform fee for a lower kit price, or skip the fee and pay more per kit. Array uploads cost the same on both plans.

	Pay As You Go	Platform Plan
Best for	Testing or launching at modest volume	Over 2,000 kits a year
Annual platform fee	None	$50,000 Cancel anytime during year one.
Sequencing kit	$74 per sample + $9.99 shipping	$49 per sample + $9.99 shipping
Array file upload	$10 per sample	$10 per sample
Included on both plans	API access and OAuth support, unlimited sample storage, dedicated partner support, white-label or co-branded kits, and failed-sample replacement at no charge

Sequencing kit

For members who need a new test

Buccal swab kit ships directly to member
Low-pass WGS at 0.5x coverage
Imputation to 70+ million variants
Results in 3-4 weeks

Array file upload

For members with existing genetic data

Member uploads existing 23andMe or Ancestry data
No kit or shipping required
PRS computed from existing raw data
Results within 24 hours
Works globally, not limited to US

Start small. Scale on your terms.

Partner with us Developer docs