Live areas
17
Public channel page
Fern Gene gives insurance advisors a structured way to manage long-cycle family health relationships — without accessing raw genomic data.
Live areas
17
Live rules
1,185
Evidence sources
10
Your role
Advisors use Fern Gene to coordinate family accounts, route clients to the right next step, and align insurance products to life stages. You see status and recommendations. You never see raw genotypes or variant calls.
Client segments
Each segment has different pain points, opening hooks, and closing paths. Mapped to Fern Gene's live capabilities — not generic demographic labels.
Planning a family, highly focused on next-generation health
Conversation Starter
"Fewer regrets for your future child." Both partners import their data, joint carrier screening runs automatically — no need to exchange raw files.
Interpretation
Joint carrier screening · Reproductive risk · Anesthesia PGx
Next Step
Bring in the spouse: one import naturally pulls the other into the family account, locking in two clients.
Early-onset or multiple cancers in the family, wants proactive screening
Conversation Starter
"Family risk early screening." 471 hereditary disease rules already running. After import, results show whether further genetic counseling is warranted.
Interpretation
Hereditary cancer screening · Specialist referral signals · Family tracking
Next Step
High-end medical + critical illness review: gene risk signals + current coverage comparison to find gaps.
Supporting parents and children, abnormal lipids or cardiovascular family history
Conversation Starter
"High cholesterol, heart attack, stroke" resonance. FH affects 1 in 250 and is severely underdiagnosed. Gene data can indicate whether more aggressive intervention is warranted.
Interpretation
FH screening · Cardiovascular risk · Annual checkup integration
Next Step
Medical + critical illness + chronic disease coverage: gene risk signals vs. current coverage gaps.
Taking blood pressure, cholesterol, blood thinner, or psychiatric medications long-term
Conversation Starter
"Directly relevant to your daily medications." 150+ pharmacogenomics rules covering metabolism differences and dosage adjustments. Not generic health advice — how your genes interact with your prescriptions.
Interpretation
Pharmacogenomics · Multi-drug interactions · Lab result correlation
Next Step
Annual subscription: rule engine updates continuously, encrypted profile refreshes automatically, no re-import needed.
High focus on fetal health during pregnancy, strong decision-making intent
Conversation Starter
"Pregnancy is when you care most about family genetic health." Import your data — pharmacogenomics helps you understand anesthesia metabolism differences before a C-section, and the AI assistant answers questions about your gene results.
Interpretation
Anesthesia PGx · Medication safety · Newborn health baseline
Next Step
Maternity + newborn insurance: gene risk signals help review birth-related coverage.
Pursuing whole-family health management, willing to pay for deep interpretation
Conversation Starter
"Family health foundation." Whole-genome data imported, interpreted across 17 areas. Checkup report upload and wearable sync make the genomic profile richer. AI health assistant answers questions grounded in personal data.
Interpretation
WGS analysis · Multi-member family profiles · Trio analysis
Next Step
High-end medical + family coverage review: unified management across generations.
Health-conscious but time-limited, prefers lightweight entry
Conversation Starter
"How your genes interact with your lifestyle." Start with existing lightweight test data — no need for whole-genome upfront. See medication response and nutrition first, upgrade anytime.
Interpretation
Nutrition metabolism · Drug response · Lifestyle correlation
Next Step
Light to moderate. Build the data foundation first, upgrade to deeper interpretation later.
Same-sex couples planning through IVF/donation/surrogacy, transgender individuals on HRT, or chosen families seeking inclusive health management
Conversation Starter
"Family accounts don't require marriage." Both partners import independently, joint carrier screening runs through de-identified summaries — no raw file exchange. Assisted reproduction (donor egg/sperm, surrogacy) works the same way. HRT pharmacogenomics for transgender partners is already covered.
Interpretation
Assisted reproduction carrier screening · HRT PGx · Inclusive family accounts
Next Step
Dual long-term management through inclusive family accounts. Privacy-first by default — all raw files stay on each person's own device.
Client routing
Client already has data
Already tested with a provider
Send to import — they can start seeing results today
Client needs testing
No raw files yet
Send to lab selection — make sure they get downloadable files
Client is still comparing
Unsure about testing, privacy, or value
Send to FAQ — concise answers beat long product explanations
Workflow
See all family members, their life stage, and recommended next steps in one view. No raw genomic data displayed.
Insurance product recommendations matched to each family member's stage — maternity for family building, critical illness for responsibility, long-term care for longevity.
Facilitate joint risk review for couples without either party exchanging raw files. You see status, not genotypes.
Shareable pages explaining why raw files matter, how local-first privacy works, and what the platform covers today.
Compliance
Never used for underwriting, pricing, or claims — this is structural, not policy
Advisors never see raw genetic results by default — explicit consent required per category
Raw genomic data never leaves the client's device — online services use minimal status metadata only
Fern Gene does not diagnose, treat, or replace clinical judgment
Partner review shares joint risk status, not individual raw files
What people say
I used to sell critical illness policies with general risk factors. Now I can show a client their actual pharmacogenomics profile and say 'this is why your coverage needs adjustment.' Conversion rate went from generic pitches to specific conversations.
J., Guangzhou
Health advisor
I've been on clopidogrel for three years. The pharmacogenomics result showed I'm a poor metabolizer. My cardiologist switched me to ticagrelor the same week.
L., Shanghai
Cardiac patient