Early-Stage Alpha — Waiting List Open

Pedigree drawing,
management, and modelling

Fast pedigree drawing. Twenty published risk-model algorithms. A 1,900-entry catalogue. In the browser.

Or take the free reading pathway — learn genetics from foundations to advanced
Standard pedigree notation (ISCN/HGNC) Per-individual consent-to-share flags No installation required
BayesMendel R engine (peer-reviewed) ICD-10 & OMIM coded For teaching, research, and documentation — not a medical device
evagene.net/pedigree/brca-family
Three-generation BRCA pedigree with standard genetic notation and integrated BRCAPRO risk results
200+ Diseases
6 Risk Models
The Problem

Existing pedigree tools cost clinicians time, not save it

Paper charts get lost in handover. General-purpose diagramming tools don't understand affection fill or proband arrows. Legacy genetics software forces you to re-key family data into a separate BayesMendel calculator — and none of it runs in a browser.

The result: consultation time wasted on tools rather than patients. Incompatible exports between research teams. Families locked out of their own history.

Evagene

Draw. Annotate. Analyse. Export. One tab.

Evagene combines gesture-based pedigree drawing, deep clinical data modelling, Bayesian risk analysis, and universal data exchange — in a single browser application with no installation.

Draw a circle for a female. A square for a male. Connect them. Add diseases with ICD-10 codes. Run BRCAPRO. Export to PDF. That is the entire workflow.

Explore capabilities
Natural Pedigree Drawing

Draw a pedigree the way you already know how

Pick up a stylus — or use your finger, mouse, or trackpad — and draw directly on the canvas. Circles, squares, diamonds, connecting lines. Exactly as you would with pencil and paper.

As you sketch, Evagene recognises each gesture in real time and builds a fully structured genetic model underneath: individuals, relationships, generations, and lineage — ready for annotation, risk analysis, and export.

No menus. No toolbars. No learning curve. If you can draw a pedigree on paper, you can draw one in Evagene.

See all features

Drawing a pedigree on iPad with Apple Pencil — gestures become structured data in real time

New · Build a pedigree in under a minute

Describe your family in plain English. Get back a pedigree.

Our ChatGPT Custom GPT — Evagene Pedigree Builder — turns a natural-language family description into a valid Evagene pedigree JSON file. Describe who is in your family, what conditions they have, and any genetic test results you know about. The GPT asks clarifying questions where family structure is ambiguous and returns a downloadable file.

Load the file into Evagene via File → Load pedigree → Load Evagene file and the pedigree renders in standard notation, ready for risk analysis.

1
Describe

Tell ChatGPT about your family.

2
Download

Get a JSON pedigree file.

3
Load

Open it in Evagene.

Requires a paid ChatGPT subscription (Plus / Team / Enterprise) — OpenAI's policy for all Custom GPTs, not an Evagene paywall. ChatGPT helps you produce a valid Evagene file; the analysis runs in Evagene after import.

chatgpt.com · Evagene Pedigree Builder
My maternal grandmother had breast cancer at 52, my mother at 45, and my aunt has ovarian cancer. Build a pedigree with me as proband.

Quick check — the aunt with ovarian cancer: is she on the maternal side too, and roughly what age at diagnosis?

Yes, maternal. Diagnosed at 60.

Here's your pedigree. Three generations on the maternal side with three affected relatives and you as proband. The pattern is suggestive of hereditary breast / ovarian cancer — run BRCAPRO in Evagene for a quantitative read.

hboc-family.json
Evagene pedigree · 12 individuals

Load in Evagene via File → Load pedigree → Load Evagene file.

Illustrative conversation — the GPT asks clarifying questions, then returns a JSON pedigree file.

A complete pedigree platform, not another drawing tool

From gesture-based canvas drawing to implementations of published Bayesian risk-model algorithms and GEDCOM interoperability — a full research and education surface in an interface anyone can learn in minutes.

Gesture Drawing

Freehand-draw circles, squares, and diamonds on the HTML5 canvas. Draw lines to form relationships. Natural as pen and paper, with keyboard accelerators.

MFUPshortcuts

ISCN/HGNC Notation

Internationally recognised pedigree symbols: affection fill, carrier dots, half-fill, mortality overlays, consanguinity double-lines, proband arrows, and fertility indicators.

Rich Properties Editor

Floating draggable panel: identity (8 biological sex options), death status (12 options), lifestyle, contact fields, consent-to-share flags, relationship events — all synced in real time.

220+ Disease Catalog

Oncology, cardiology, neurology, metabolic, plus 20+ catalogued complex / multifactorial conditions — each entry carries ICD-10, OMIM, inheritance pattern, penetrance tables, heritability, empirical recurrence risks, and carrier frequencies by ancestry. Manage from a dedicated dashboard with presets and custom colours.

Bayesian Risk Models

BRCAPRO, MMRpro, PancPRO via BayesMendel. Claus, Couch, Frank, Manchester, NICE, Amsterdam II, Bethesda, Gail, and a Tyrer-Cuzick IBIS-style approximation alongside. AD / AR / XLR Mendelian with age-dependent penetrance; X-linked dominant with sex-differential severity; mitochondrial with heteroplasmy scaling; digenic two-locus; imprinting / UPD with parent-of-origin weighting. Polygenic / multifactorial liability-threshold engine covering 20+ complex conditions. One-click CanRisk export.

Interactive Karyogram

Ideogram of all chromosomes with genetic markers at genomic positions, colour-coded by test result (positive / VUS / negative), with centromere bands.

Broad Data Exchange

Import JSON, GEDCOM 5.5.1, XEG, 23andMe, and images (OCR). Export to JSON, GEDCOM, PNG (up to 4x), SVG, and PDF (A4/A3/Letter/Legal).

Consanguinity & Kinship

Wright's path coefficient calculates consanguinity coefficients automatically. Values display on relationship lines and feed directly into risk models.

Advanced Search

Query builder: filter by sex, disease status, age, tests, treatments — across parents, siblings, ancestors, descendants. AND/OR modes. Results highlighted on canvas.

Batch Investigation

Explore multiple algorithm families against a proband simultaneously. Generate dual-audience educational summaries: one in plain language, one with structured detail. For review, teaching, and documentation — not clinical recommendation.

Allergies & Traits

55+ allergies (severity, IgE, cross-reactivity). 50+ traits (heritability, marker associations) with automatic inference of blood type, Rh factor, and secretor status from 23andMe SNP data.

Auto-Layout & UX

Algorithm-based positioning respecting family structure. Undo/redo, copy/paste, lasso select, snap-to-grid, pinch zoom, light/dark theme, configurable fonts.

AI-Assisted Draft Summaries

Generate AI-assisted draft summaries for educational / research review — structural observations, documentation gaps, and discussion prompts, anchored directly to the proband on the canvas. Drafts for human review — not clinical advice, not diagnostic output.

Blood Type & Trait Inference

Import 23andMe SNP data and Evagene automatically infers ABO blood type, Rh factor, and secretor status from genotype markers. Traits display as visual cards alongside the pedigree.

Disease Management Dashboard

Browse, search, and manage your disease collection from a dedicated dashboard. Quick-add presets (heritable cancers, cardiovascular), taxonomy views, custom colours, and ICD-10 filtering.

Pedigree Reports & Rich Text

Auto-generate structured English reports describing the proband and family findings. Rich markdown editor with formatting toolbar, live preview, and anchored canvas notes that follow individuals.

Ready to draw your first pedigree?

Request Alpha Access

Who works on pedigrees in Evagene?

Researchers and research cohorts, educators and students, trainees, genealogists, and families documenting their own history. Pick a role below.

Replace paper charts and workarounds with a purpose-built system

Every symbol, fill pattern, and overlay follows standard clinical pedigree conventions — eliminating the ambiguity of hand-drawn charts and the limitations of diagramming tools.

  • Run BRCAPRO, MMRpro, PancPRO, and Mendelian risk models directly from the pedigree — no re-entering data
  • 200+ diseases pre-configured with ICD-10, OMIM, inheritance patterns, penetrance data, and ancestry-specific carrier frequencies
  • Batch risk exploration: screen a proband across all diseases with plain-language, structured, carrier, and AI-generated educational summaries
  • AI-assisted draft summaries for educational review: structural observations, documentation gaps, and discussion prompts
  • Linkage analysis: LOD scores, flanking markers, haplotype tables, Haldane/Kosambi map functions
Evagene screenshot: autosomal recessive risk analysis for Cystic Fibrosis showing carrier probabilities, family member risk table, and pedigree with disease sectors
Algorithm catalogue

Four families of published risk-model algorithms

Reproduces peer-reviewed pedigree risk-model algorithms for educational exploration. Demonstrates how each published model behaves under different pedigree inputs. Algorithm implementations for teaching, training, and research — not clinical recommendations.

Cancer family-history algorithms

Twelve published cancer family-history algorithms

Reproduces three BayesMendel Bayesian algorithms (BRCAPRO, MMRpro, PancPRO) and nine family-history scoring algorithms on input pedigrees. Demonstrates how each published model behaves under different family-history configurations. Educational exploration only — not clinical outputs.

BRCAPRO

BayesMendel BRCA1/BRCA2 algorithm

Reproduces the BayesMendel BRCAPRO algorithm (Parmigiani et al.). Demonstrates how the published Bayesian family-history model behaves under different pedigree inputs.

Allele-frequency options: General, Ashkenazi Jewish, Italian
Algorithm reproduction for teaching and research
MMRpro

BayesMendel MLH1/MSH2/MSH6 algorithm

Reproduces the BayesMendel MMRpro algorithm. Explores how the published Lynch-syndrome model behaves across different pedigree configurations.

Algorithm reproduction for teaching and research
PancPRO

BayesMendel PALB2 / susceptibility algorithm

Reproduces the BayesMendel PancPRO algorithm. Explores how the published pancreatic-susceptibility model behaves on familial-pancreatic-cancer pedigree inputs.

Algorithm reproduction for teaching and research

Nine family-history scoring algorithms, reproduced

Each card below reproduces a specific peer-reviewed algorithm on pedigree input for educational exploration. Evagene does not state what the output means clinically — that is a matter for the published literature and qualified professionals.

CLAUS
Claus, Risch & Thompson 1994

Reproduces the CASH-derived algorithm for educational exploration of how a family-history-only Bayesian model behaves under varied pedigree inputs.

COUCH
Couch et al. 1997

Reproduces the published logistic-regression algorithm. Demonstrates how the model behaves under different age, ovarian, and Ashkenazi inputs.

FRANK / MYRIAD
Frank et al. 2002

Reproduces the empirical scenario-based frequency tables published from the Myriad dataset.

MANCHESTER
Evans et al. 2004

Reproduces the published Manchester point-based scoring algorithm. Algorithm demonstration; interpretation of output remains with the published literature.

NICE CG164 / NG101
NICE guideline categorisation

Reproduces the categorisation logic published in NICE CG164 and NG101 for educational reference. The guideline itself, not this software, is the source of any action.

AMSTERDAM II
Vasen et al. 1999

Reproduces the five-point Amsterdam II evaluation logic. Flags the pedigree-derivable criteria for teaching purposes.

BETHESDA (REVISED)
Umar et al. 2004

Reproduces the revised Bethesda criteria evaluation logic on input pedigrees. Algorithm reproduction for teaching reference.

GAIL (NCI BCRAT)
Gail 1989 (updates through 2017)

Reproduces the NCI BCRAT computation for educational exploration of how reproductive and family-history inputs drive the published algorithm.

TYRER-CUZICK
Tyrer / Duffy / Cuzick 2004 — approximation

Reproduces the published Tyrer-Cuzick 2004 algorithm. Approximation, not the official IBIS binary (full IBIS coefficients are not publicly released).

Single-gene & adjacent algorithms

Seven published inheritance-model algorithms, reproduced

Implementations of seven peer-reviewed pedigree inheritance models for educational exploration. Demonstrates how each behaves on pedigree input — autosomal dominant, autosomal recessive, X-linked recessive, X-linked dominant with sex-differential severity, mitochondrial maternal transmission, digenic two-locus interaction, and imprinting / UPD with parent-of-origin weighting.

Autosomal dominant · Autosomal recessive · X-linked recessive
Age-dependent penetranceGermline mosaicismDe novo mutation ratesAnticipation (trinucleotide)Parent-of-origin biasLocus heterogeneityLinkage disequilibriumLOD scores
New
X-LINKED DOMINANT
Sex-differential severity — five sub-modes
  • Equal — classical XLD with similar severity in both sexes.
  • Males worse — males more severely affected than heterozygous females.
  • Male-lethal, reproduces — 1:1:1 live-born ratio (affected F : unaffected F : unaffected M). Incontinentia pigmenti, focal dermal hypoplasia, OFD1.
  • Male-lethal, no reproduction — affected males not live-born (Rett-class MECP2, CDKL5).
  • Males unaffected — metabolic-interference protection in males (CFND / EFNB1, EFMR / PCDH19).
Risk model guide →
New
MITOCHONDRIAL
Strict maternal transmission + heteroplasmy scaling

mtDNA mutations transmitted through the maternal line. Sex-differential penetrance (e.g. LHON male preponderance). Phenotype severity scales with mutant-load (heteroplasmy).

Canonical disorders: LHON, MELAS, MERRF, NARP, Leigh (mtDNA subset), Kearns-Sayre, Pearson syndrome.
Risk model guide →
New
DIGENIC
Two-locus interaction — the classical 25% ratio

Phenotype requires a simultaneous variant at two separate loci. An affected (Aa;Bb) × unaffected (aa;bb) partnership yields 25% affected offspring — the canonical digenic ratio. Supports both_het, one_het_one_hom, both_hom configurations.

Canonical disorders: Usher syndrome type 2, some RP, primary congenital glaucoma.
Risk model guide →
New
IMPRINTING · UPD
Mechanism-weighted recurrence + parent-of-origin rule

Four molecular mechanisms modelled (deletion, UPD, imprinting-centre defect, point mutation). Recurrence risk is weighted by mechanism; for IC defects, the parent-of-origin rule applies (transmitting parent determines which syndrome phenotype).

Canonical disorders: Prader-Willi, Angelman, Beckwith-Wiedemann, Silver-Russell, transient neonatal diabetes mellitus (TNDM).
Risk model guide →
20
Algorithm implementations + CanRisk bridge
220+
Diseases catalogued
4
Pedigree description types
Ancestry-gating by design

Ancestry-gated algorithm — no number without ancestry context

Hardy-Weinberg prior-carrier algorithms are notoriously easy to misuse by outputting a "general population" number for someone whose ancestry is not recorded. Evagene's implementation refuses that. If an individual has no ancestry recorded, the algorithm returns no personalised number for that individual. When ancestry is recorded, outputs are attributed to one of three explicit algorithm paths:

EXPLICIT POPULATION KEY

Direct published carrier frequency for that ancestry. Cystic fibrosis in Northern European, ~1 in 25. Tay-Sachs in Ashkenazi Jewish, ~1 in 30.

WEIGHTED MIX

Proportion-weighted combination across relevant populations when ancestry is mixed. Per-population contributions stay visible in the row.

HARDY-WEINBERG FROM INCIDENCE

Derived as 2pq where no population-specific carrier frequency is published. Flagged as an estimate, not a published figure.

Algorithm refuses to output a generic number

With no ancestry recorded, the algorithm returns no value for that individual. By design the software never outputs a single "general population" figure as though it applied to an identifiable person. The output is a property of the algorithm — not an opinion from the software about any individual.

Polygenic · Oligogenic · Multifactorial algorithm

Liability-threshold algorithm reproduction

Reproduces the published liability-threshold algorithm (Carter 1961, Falconer 1965, Reich / James / Morton 1972) on pedigree input, with the empirical family-study tables (Smith, Carter, Harper) where published. Demonstrates how the algorithm behaves across common complex disorders that cluster in families but do not follow Mendelian patterns. Algorithm reproduction for teaching and research — not clinical output.

Engine classifies affected relatives by degree

  • • MZ twin · 1st · 2nd · 3rd · 4th degree
  • • Empirical recurrence-risk tables when available
  • • Falconer liability-threshold fallback from h² and K
  • • Population baseline when no affected relatives

Four classical modifiers applied

  • • Severity of proband (mild / moderate / severe)
  • • Carter-effect sex bias (e.g. pyloric stenosis, DDH)
  • • Multiple affected close relatives
  • • Parental consanguinity: (1 + 2F·h²)
20+ conditions catalogued with heritability + empirical recurrence risks
Cleft lip ± palate Cleft palate only Hirschsprung's Type 1 diabetes Type 2 diabetes Late-onset Alzheimer's Parkinson's (idiopathic) Ankylosing spondylitis Schizophrenia Bipolar disorder Major depression Epilepsy Pyloric stenosis Neural tube defects Congenital heart disease Talipes DDH Asthma Atopic dermatitis Coeliac disease Essential hypertension Obesity Allergic rhinitis
File export — external computation

CanRisk / BOADICEA pedigree-file export

Evagene does not compute BOADICEA. It writes a ##CanRisk 2.0 pedigree file (BOADICEA v4 column set) that the user downloads and uploads at canrisk.org, where the computation happens off-platform under University of Cambridge licence.

What the export writes

  • • Pedigree structure with ages at diagnosis
  • • BRCA1, BRCA2, PALB2, ATM, CHEK2 test-status fields
  • • Ashkenazi ancestry flag
  • • Reproductive and breast-health fields

Why export, not bundle

BOADICEA is licensed by the University of Cambridge; third-party web-service integration requires a separate commercial licence. Evagene therefore does not bundle BOADICEA — the file-export approach puts all computation and responsibility off-platform, where it belongs.

Speaks every format your workflow demands

Import from clinical systems, genealogy platforms, and consumer genomics. Export publication-ready output in any format.

FormatImportExportNotes
JSONFull snapshot; replace or add mode
GEDCOM 5.5.1Ancestry, FamilySearch, Gramps compatible
XEGLegacy Evagene v1 XML migration
23andMeGenotype, ancestry, traits, health history, conflict resolution
ImageOCR + shape detection from chart photos
ChatGPT Custom GPTDescribe your family to the Evagene Pedigree Builder — get back importable JSON (paid ChatGPT tier required)
PNG1x–4x scale, optional transparency
SVGVector for publication-quality output
PDFA4/A3/Letter/Legal, portrait/landscape/auto
CanRisk / BOADICEA v4##CanRisk 2.0 header; tab-separated, BOADICEA v4 columns; upload at canrisk.org (BOADICEA not bundled — licensed by Univ. of Cambridge)

An open platform, not a closed tool

Build integrations, connect AI agents, push data to external systems, and embed pedigree diagrams in your own applications. Evagene's platform layer turns pedigree intelligence into infrastructure.

API Keys

Long-lived, scoped, rate-limited keys for programmatic access to the full Evagene API. SHA-256 hashed at rest. Configurable per-minute and per-day limits.

Bring Your Own LLM

Supply your own Anthropic or OpenAI API key for AI analysis. Encrypted at rest with Fernet. No quota limits. Choose your provider and model.

Webhooks

Push HMAC-SHA256 signed notifications when pedigrees change. Connect to EHR systems, LIMS, Slack, or any endpoint that accepts HTTP POST.

Analysis Templates

Reusable custom AI prompt templates with variable injection. Design analyses for pharmacogenomics, reproductive risk, research data extraction, or patient-friendly summaries.

MCP Server

Let AI agents work with pedigrees via the Model Context Protocol. 11 tools for Claude Desktop, custom agents, or any MCP-compatible client. Direct database access, no HTTP overhead.

Embeddable Viewer

Drop-in pedigree diagrams for patient portals, research dashboards, or any website. Three embedding modes: iframe, raw SVG, or a JavaScript snippet.

Cited in peer-reviewed research

Used by researchers worldwide

Evagene has been cited in clinical and genetic studies published in the Journal of Clinical Laboratory Analysis, Bioengineering, and Health Science Reports, covering Marfan syndrome, nephronophthisis, retinitis pigmentosa, and molecular diagnostics.

Semmelweis
University
Birjand University
of Medical Sciences
Kerman University
of Medical Sciences
Shahid Beheshti Uni.
of Medical Sciences
Shahid Sadoughi Uni.
of Medical Sciences
University
of Guilan

1,900+ help guides across 6 catalogues

Every disease, trait, allergy, clinical test, genetic marker / gene, and treatment in Evagene has a dedicated help page with catalogue metadata, cross-references to related entries, and authoritative external links — LOINC for tests, NCBI Gene / OMIM / ClinVar for markers, RxNorm / BNF / DrugBank for treatments.

Diseases
ICD-10 · OMIM
Traits
Heritability · markers
Allergies
IgE · cross-reactivity
Clinical tests
LOINC
Markers & genes
NCBI · OMIM · ClinVar
Treatments
RxNorm · BNF · DrugBank

Covers the central dogma (DNA → RNA → protein), chromosome structure, Mendelian inheritance patterns, and how mutations lead to disease. Written for readers with no prior genetics background. Includes diagrams of DNA replication, meiosis, and autosomal vs. X-linked inheritance.

BRCAPRO uses Bayesian updating with the BayesMendel R package to estimate BRCA1/BRCA2 carrier probability from family pedigree data. Supports General, Ashkenazi Jewish, and Italian population frequencies. Published literature discusses ≥10% and ≥25% as notable thresholds; ≥25% is strongly suggestive of hereditary breast and ovarian cancer syndrome. These are educational references — not clinical recommendations from this software.

ICD-10: C50. OMIM: 114480. Inheritance: multifactorial with high-penetrance genes (BRCA1, BRCA2, TP53, PALB2). Lifetime risk ~12% general population; up to 72% for BRCA1 carriers. Evagene tracks laterality, ER/PR/HER2 status, grade, stage, and age at diagnosis per individual.

M/F/U to add individuals, P for partner, D for disease palette, N for notes, G for genetics panel. Ctrl+Z/Y for undo/redo, Ctrl+C/V for copy/paste, Ctrl+A to select all, F2 to edit name, Delete to remove. Space+drag to pan, scroll to zoom, Ctrl+G for snap-to-grid.

About Evagene

What Evagene is. A browser-based platform for drawing, managing, and exploring family pedigrees. Used by clinicians, counsellors, researchers, educators, students, and families for teaching, training, research, and structured family-history documentation.

What Evagene is not. Evagene is not a medical device. It is not intended to diagnose, prevent, monitor, predict, treat, or manage disease; determine eligibility for screening, testing, referral, or treatment; or replace professional clinical judgement. Outputs are illustrative and for educational and research purposes only.

Two risk-model caveats that apply everywhere on this site: Tyrer-Cuzick output is an IBIS-style approximation of the published Tyrer / Duffy / Cuzick 2004 algorithm, not the official IBIS Breast Cancer Risk Evaluator binary. BOADICEA is not bundled — licensed by the University of Cambridge; Evagene exports a ##CanRisk 2.0 pedigree file that the user uploads at canrisk.org.

Alpha Access

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