Fern Gene | For Families

For Families

One family account. Three life stages. Each stage has specific genomic capabilities, insurance alignments, and care coordination already built.

Stage 1

Family Building

Ages 30–45

Expanded carrier screening

Check carrier status for recessive conditions before or during pregnancy planning. Covers hundreds of conditions with 471 production rules in the hereditary disease area.

Family cancer screening

Identify hereditary cancer predisposition signals — BRCA, Lynch syndrome, and others. Results include referral guidance, not just risk labels.

Anesthesia pharmacogenomics

Know how you metabolize common anesthetics before a scheduled procedure. Relevant for C-section planning and other surgical decisions.

Family account setup

Create a shared family account that tracks multiple members across life stages. Partner review runs without exchanging raw files.

Maternity insurance review

Insurance advisors aligned to this stage can review maternity, pregnancy complication, and newborn coverage options. No genomic data enters underwriting.

Assisted reproduction and inclusive family support

Family accounts do not require marriage. Same-sex couples building families through donor egg, donor sperm, or surrogacy can use joint carrier screening the same way. HRT pharmacogenomics for transgender partners is also covered, helping optimize hormone therapy plans.

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Import existing data Choose a lab

Stage 2

Family Responsibility

Ages 40–60

Familial hypercholesterolemia and hereditary tumors

FH affects 1 in 250 people and is underdiagnosed. Hereditary tumor screening catches signals worth confirming early. Both are actionable with timely clinical follow-up.

Pharmacogenomics for chronic medications

150+ rules covering how you metabolize common medications — statins, blood thinners, antidepressants, and more. Useful when starting or adjusting long-term prescriptions.

Annual checkup integration

Genomic context for your annual bloodwork — lipid panels, liver function, glucose trends. 44 production rules connect lab results to genomic background.

Medical and critical illness insurance review

Insurance advisors aligned to this stage can review medical, critical illness, and long-term care coverage. Genomic data never enters underwriting or claims.

GenomicsMedicalInsurance

Import existing data See FAQ

Stage 3

Longevity Operations

Ages 55+

Chronic disease baseline

Establish genomic baselines for cardiovascular risk, diabetes susceptibility, and kidney function. Track how these interact with actual lab results over time.

Multi-drug pharmacogenomics

Polypharmacy is common after 55. Know which medications your body metabolizes differently — critical for blood thinners, pain management, and cardiac drugs.

Home care entry points

Connect genomic health trajectories with home care and assisted living planning. Not a service marketplace — a coordination layer for family caregivers.

Long-term care insurance review

Insurance advisors aligned to longevity stage review long-term care, disability, and critical illness coverage. Structural red line: no genomic data in underwriting.

Family caregiver coordination

Share status updates with designated family caregivers. They see next-step recommendations and care coordination items, not raw variant calls.

GenomicsMedicalElderly CareInsuranceAI

Import existing data Advisor coordination

Family roles

One account. Every member's data working together.

Each family member imports their own data on their own device. The platform then combines insights across members to produce analyses that no single profile could achieve alone.

Partner / Spouse

Joint carrier screening & combined risk

When both partners import their genomic data, the platform runs joint carrier screening without either person seeing the other's raw files. Combined pharmacogenomics profiles identify medication risks that only matter when both partners' metabolisms are considered — for example, anesthesia planning before a scheduled C-section.

•Joint carrier screening: both partners analyzed locally, compared through desensitized summaries
•Combined PGx profiles for shared medical decisions
•Reproductive risk assessment: recessive conditions where both partners are carriers
•Privacy-first: no raw file exchange between partners

Parents

Hereditary risk tracking & cross-generational patterns

Import your parents' genomic data to build a clearer picture of inherited risk. When the platform can see which variants you inherited from which parent, hereditary risk signals become significantly more specific — turning a general 'elevated risk' into a traceable family pattern.

•Hereditary variant tracking: identify which parent passed which variant
•FH, BRCA, and Lynch syndrome patterns traced across generations
•Parent-child inheritance probability calculations
•Better-informed screening schedules based on actual family variant data

Children

Early risk identification & inherited conditions

Add children's genomic profiles to the family account to track inherited conditions from birth. When combined with both parents' data, the platform can run trio analysis — identifying which variants were inherited versus which are new, and flagging conditions that individual analysis would miss.

•Inherited condition tracking: conditions passed from parent to child
•Trio analysis (mother + father + child): de novo variant identification
•Age-appropriate screening recommendations as children grow
•Guardian-managed profiles with consent controls

Trio analysis: three profiles, exponentially better insights

When mother, father, and child all have genomic data in the family account, the platform can perform trio analysis — comparing all three genomes together. This enables de novo variant detection (changes present in the child but not in either parent), inheritance pattern confirmation, and significantly more accurate carrier status calculations for future family planning.

•De novo variant detection: identify genetic changes unique to the child

•Inheritance confirmation: know exactly which variant came from which parent

•Carrier status accuracy: combined parental data refines reproductive risk calculations

•Family pattern recognition: cardiovascular, metabolic, and cancer risk patterns across three generations

•Future-proof: trio data becomes more valuable as the rule engine evolves

One family account

A single account covers all three life stages. Import once, and the platform routes each family member to the capabilities relevant to their stage. Advisors can coordinate across the entire family without seeing raw genomic data.

•Multi-member tracking across life stages

•Partner review without raw file exchange

•Advisor-accessible status with explicit consent gating

•Local-first: all genomic data stays on device

•Insurance product recommendations aligned to life stage — never to genomic risk

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