Evagene for educators and students

Teaching clinical genetics sits on an awkward bridge between abstract Mendelian probability, real clinical practice, and the social-scientific skills of family history interviewing. Students reach you having done Punnett squares in school; they need to learn how an autosomal-dominant family actually looks when you draw it out, how a risk model turns a family history into a number, how to write an interpretation that is both technically correct and readable by a patient. The tools you have traditionally had for this — blackboard pedigrees, textbook case studies, the occasional drawing exercise — are serviceable but cannot produce a live risk calculation or mimic the clinical workflow the students will work in professionally.

Evagene is a clinical-grade pedigree platform that is also unusually well-suited to teaching. It is browser-based with nothing to install, uses standard NSGC/ISCN notation, runs Mendelian inheritance analysis and BayesMendel risk models on whatever pedigree the student builds, generates AI interpretations that can sit alongside the student's own, and is free for anyone during Alpha via the waiting list. For a cohort of thirty medical students or ten genetic counselling trainees, that set of properties is a good match for the learning outcomes you are trying to hit.

The educator and student workflow

As an educator, your typical genetics teaching session involves a short lecture component (inheritance patterns, risk assessment, pedigree conventions) and a longer practical component (exercises where students work with case material). Case material is often a scenario — "a 32-year-old woman with a family history of breast and ovarian cancer" — with a mental pedigree you want the student to construct. The challenges are that blackboard pedigrees are slow and error-prone, paper case studies are static, and moving to a digital tool is often blocked by license cost, install complexity, or a tool that is designed for clinical use rather than learning.

As a student, you arrive at the clinical genetics module with some probability theory and a vague sense of squares-and-circles pedigrees. Your learning tasks include constructing pedigrees correctly, recognising inheritance patterns, understanding when to refer to clinical genetics in your future practice, and drafting interpretations you would defend in an MDT. You need a sandbox in which to try these things before you encounter real patients.

Both educator and student workflows benefit from a tool that is free at point of use, correct at a clinical standard, and flexible enough to accommodate structured exercises, self-directed learning, and group activities.

What educators and students need from pedigree software

• Free at point of use — for a cohort of thirty students, a per-seat licence fee is prohibitive.
• Browser-based — no IT project to install software on shared machines.
• Standards-compliant — so what students learn transfers directly to clinical practice.
• Mendelian inheritance analysis — AD, AR, XR models for the classical teaching material.
• Risk models — BayesMendel for applied risk-assessment teaching.
• AI interpretation as second opinion — a structured output the student can compare their own reasoning against.
• Shareable pedigrees — educators create exercise pedigrees, students complete them.
• Mature enough to be the tool the student will eventually use in practice — so the learning is not thrown away when the course ends.

How Evagene supports educators and students

Mendelian inheritance for the classical teaching material

Evagene's Mendelian inheritance analysis covers autosomal dominant, autosomal recessive, and X-linked recessive conditions, with expected offspring ratios. Students can construct a small pedigree (two parents, several offspring), assign genotypes, and see the probability calculations in context. This is the live version of the Punnett square — but running on a real pedigree structure, and producing output in the same form the student will encounter in a clinical setting.

A useful teaching exercise is to give the student a classical inheritance pattern without labelling it (a three-generation pedigree that looks autosomal dominant but is actually X-linked dominant, for instance) and let them construct, annotate, and reason about it. The inheritance analysis output tells them whether their classification holds up.

Hands-on pedigree construction

Pedigree construction is the single most important practical skill in clinical genetics teaching, and gesture drawing makes it fast enough to run several exercises in a single session. A student can build a three-generation pedigree, annotate affected status and conditions from the 200+ catalogue, set the proband, and export the result as SVG or PDF in ten minutes. Going through four or five different inheritance patterns in a single practical is feasible.

For correctness, NSGC/ISCN notation is enforced automatically — the student never accidentally produces a non-standard pedigree. This means the pedigrees they submit for coursework are of clinical quality without the instructor having to correct notation errors in every submission.

Self-check via batch risk screening

For applied clinical-reasoning exercises, batch risk screening provides an instant self-check. A student builds a hereditary cancer pedigree, runs the batch screen, and sees whether their clinical intuition matches the model outputs. If the student thought the family looked "clearly BRCA" but BRCAPRO returns a low probability, that mismatch is a learning moment.

AI interpretation as pedagogical second opinion

A pedagogically valuable pattern is to have students draft their own written interpretation of a pedigree — inheritance pattern, risk to relatives, recommended next steps — and then compare with the AI-generated interpretation as a structured second opinion. The AI is not the authority; the student's reasoning is the object of study. The comparison surfaces: assumptions the student made (and did not justify), steps they missed (red flags the AI picked up), or phrasing they could improve.

For a genetic counselling training programme, Analysis Templates can encode the house style the programme wants trainees to practise, so the AI drafts arrive in the format the trainee is being trained to produce.

Free during Alpha removes adoption barriers

One of the most common reasons clinical-grade software does not make it into teaching is that the licence model makes per-student access expensive. Evagene is free during Alpha via the waiting list. A cohort of thirty students each signs up individually; an educator can demo from a single account; the course can run without an institutional procurement cycle. For educators evaluating the tool for future teaching use, the Alpha period is a genuine opportunity to build curriculum around a tool without risking budget.

A typical educator / student session in Evagene

Step 1. Educator creates an exercise pedigree. You author a template pedigree — a blinded autosomal dominant hereditary cancer family, for instance — and export it as GEDCOM or JSON, or share the pedigree ID with the cohort.

Step 2. Students import and annotate. Each student imports the pedigree into their own Evagene account. They confirm the family structure, annotate affected status and conditions, set the proband, and run Mendelian inheritance analysis.

Step 3. Students draft their interpretation. Before consulting the AI, each student writes their own interpretation of the pedigree — inheritance pattern, likely diagnosis, risk to relatives, recommended next steps.

Step 4. AI as second opinion. Students generate the AI interpretation and compare it to their own. The discussion in the next seminar session compares the two.

Step 5. Submission and feedback. Students export the pedigree as PDF and their interpretation as text, and submit. Educators review both.

Frequently asked questions

Further reading

• Mendelian inheritance calculator
• Pedigree drawing software
• Clinical genetics pedigree tools: a field guide
• Hereditary cancer risk assessment
• Evagene for research geneticists
• Evagene for genetic counsellors
• The Evagene platform