Genogram maker online: a practical guide to family-therapy and medical genograms
What a genogram is, how it differs from a clinical pedigree, which online tools suit which workflow, and where a medical-genetics platform fits in when biology and health data are the focus.
Short version. A genogram is a family diagram that extends a family tree with emotional, behavioural, social, and medical information across three generations. It was developed in the context of Bowen family systems theory in the 1970s and is a staple of family therapy, social work, nursing education, and family medicine teaching. A clinical pedigree is a close cousin but follows a stricter standardised notation focused on biology and health. Online genogram makers range from dedicated tools such as GenoPro to general diagramming platforms such as SmartDraw and Lucidchart, and clinical pedigree platforms such as Evagene that specialise in the medical dimension. This guide explains what a genogram is, who uses one, what to expect from the tools in the category, and where Evagene sits when the focus is health.
What a genogram is, and where it came from
The word "genogram" was popularised by Monica McGoldrick and Randy Gerson in their 1985 book Genograms in Family Assessment. The tool itself grew out of Murray Bowen's family systems theory, which frames an individual's behaviour as shaped by patterns operating across the family unit. A genogram is the notebook in which that pattern is sketched: three generations, the relationships between them, the significant events, and the emotional quality of each tie.
In its minimal form, a genogram looks like a family tree. Squares represent males, circles represent females, and a horizontal line joins partners, with vertical lines dropping to children. This structural layer is shared with clinical pedigree notation and with genealogy charts. The distinctive content of a genogram sits on top of that skeleton: who is close to whom, who is in conflict, who has cut off contact, who has a history of depression or addiction, who died by suicide, who is the family hero and who the scapegoat, who left the country, who never left the village. A well-drawn genogram tells a family story at a glance.
Different disciplines have adapted the tool to their needs. Family therapists use it to map relational dynamics and intergenerational patterns. Social workers use it to assess safeguarding, caregiving networks, and kinship resources. Nurses and medical students learn to sketch one in five minutes during a history-taking encounter. General practitioners use it to hold three generations of health history on a single page. Geneticists, historically, have used a tighter variant of the same diagram — the clinical pedigree — for disease inheritance analysis.
Genogram vs clinical pedigree: how they differ
There is no sharp line between a genogram and a clinical pedigree; the difference is one of emphasis and convention. A clinical pedigree adheres strictly to the notation recommended by the National Society of Genetic Counselors (NSGC) and the Pedigree Standardization Work Group: filled shapes denote affected individuals, a small black diamond indicates a pregnancy loss at a specific gestation, a line through a shape indicates deceased, and so on. Its purpose is precision for risk assessment — for a clinician or software to read the diagram, combine it with the disease model, and calculate carrier and affection probabilities.
A genogram relaxes that convention in favour of content. It layers in:
- Emotional relationships. Jagged lines for conflict, triple lines for enmeshment, dashed lines for estrangement, broken lines for cut-off.
- Mental health and behaviours. Depression, anxiety, substance dependence, eating disorders, gambling, offending — often recorded inside or next to the individual's symbol.
- Social facts. Immigration, education, occupation, religion, socio-economic status, incarceration, foster care.
- Life events. Trauma, loss, abortion, divorce, remarriage, adoption, reconciliation.
A medical genogram keeps much of that content but leans harder on the health side. It typically records diagnoses, cause of death, ages of onset, and medications. In the United States it is a staple of AAFP (American Academy of Family Physicians) training; in the UK it is taught in general practice and health visiting. Medical genograms are not usually used as the basis for formal genetic risk calculation; for that, a clinician will construct a clinical pedigree using standardised notation and a validated tool.
The structural data — who is related to whom, their sexes, their dates — is identical across a genogram, a clinical pedigree, and a genealogical family tree. The annotation layer is what separates the three use cases.
The online genogram tooling landscape
The software market for genograms is smaller and older than the market for generic diagramming or for clinical pedigree software. Three categories dominate.
Dedicated genogram tools
GenoPro is the most widely cited dedicated genogram application. Originally a Windows desktop product, it has a long track record with family therapists and social workers and supports most of the McGoldrick/Gerson notation. Its interface reflects its age — heavy on menus and dialog boxes — but its coverage of relational annotation is deep.
Template-based diagramming tools
General-purpose online diagramming tools such as SmartDraw, Lucidchart, Creately, and EdrawMax ship genogram templates that any user can pick up quickly. These tools prioritise ease of use and visual polish over deep domain knowledge. They are sufficient for a social worker who needs to produce one or two genograms a week for casework, or a teacher producing slides; they are less well suited to a practice that needs to keep a searchable register of family data.
Clinical pedigree platforms
Tools aimed at clinical genetics — Phenotips, Progeny, FamGenix, and Evagene among others — draw pedigrees rather than genograms by default. The notation is stricter, the data model is disease-centric, and the feature set extends to risk modelling, BayesMendel carrier probabilities, and structured interoperability with other clinical systems. When the "genogram" in question is really a medical family tree — diseases, ages of onset, inheritance patterns — a clinical pedigree platform will take the analysis further than a generic genogram tool can.
What to look for in an online genogram maker
Beyond the visual polish, the practical questions for choosing a tool are:
- Notation coverage. Does the tool support the symbol set your discipline uses — relational lines for therapy, standardised shapes for clinical use, and any local conventions your employer has adopted?
- Data import and export. Can you import a GEDCOM family tree if a client brings one? Can you export a clean PDF or PNG for the case file? Can you round-trip structural data through a standard format?
- Collaboration and privacy. Where is the diagram stored? Who has access? Is the hosting appropriate to your confidentiality duty under GDPR or HIPAA? Is there a meaningful access log?
- Speed during consultation. If you draw the genogram while talking with the client, how many clicks does each person take? Are there keyboard shortcuts or gesture drawing?
- Clinical annotations. If a medical genogram is the goal, can the tool record ICD-10 or OMIM codes, ages of onset, and genetic test results in a structured way, rather than only as free text?
- Risk calculation. If your practice extends beyond depiction into formal risk estimation, does the tool integrate validated risk models (BRCAPRO, MMRpro, PancPRO) or Mendelian inheritance calculators?
No single product scores at the top of every column. A family therapist in private practice is probably best served by a dedicated genogram tool with deep relational notation; a cancer genetics service is better served by a clinical pedigree platform with integrated risk models; a social worker doing kinship assessments may be well served by a general diagramming tool with a good template and a safe storage option.
Medical genograms in day-to-day practice
The medical genogram earns its place in three common scenarios.
The family medicine consultation. A patient presents with a new symptom that might be familial — chest pain, unexplained loss, early-onset cancer in a close relative. Sketching a three-generation genogram on the margin of the notes takes a few minutes and often reveals a pattern the patient had not volunteered. General practice teaching in the UK and family medicine teaching in North America both encourage the habit.
The pre-genetics visit. A patient referred to clinical genetics benefits from arriving with their family history already structured. A medical genogram drawn by the GP or compiled by the patient themselves is a good starting point; it speeds up the clinic encounter and gives the genetic counsellor a scaffold to verify rather than build from scratch.
Education. Medical schools and nursing programmes teach the genogram as a tool for patient-centred thinking, not only for the information it holds but for the habit of mind it enforces — that a symptom belongs to a person, who belongs to a family, who lives inside a social and sometimes biological pattern.
For any of those uses, the annotations a clinician will want are more structured than a therapist's free-text notes. Ages of onset matter. ICD-10 codes matter if the data will feed downstream systems. Mode of inheritance matters for any subsequent referral. This is where the overlap with clinical pedigree tools is strongest.
Drawing a genogram yourself: a quick method
If you are a clinician, student, or patient drawing a genogram for the first time, the following sequence works:
- Start with the index person (the proband) centred on the page. Draw a square for a male, a circle for a female, a diamond if sex is unknown or not relevant.
- Draw a horizontal line to the left or right for each partner. Use two short parallel lines across the line to indicate a separation, or a single cross to indicate a divorce.
- Drop vertical lines from the partner line for each child, left to right in birth order. Use a horizontal bracket if the children share two parents. Use a dashed line for adopted children, a triangle for pregnancy loss, with the gestational age annotated.
- Add each individual's year of birth, year of death (if relevant), and any diagnosis or significant event. Shade or fill the shape to indicate affected status for a specific condition, with a key in the corner of the page.
- For a family therapy genogram, add the relational layer last: closeness, conflict, estrangement, cut-off. For a medical genogram, add diagnoses and ages of onset.
A neat three-generation diagram often fits on one side of A4. Any more than three generations and either the page becomes too dense, or the detail becomes lossy; for larger families, a clinical pedigree tool with zoom and pan is more practical than paper.
How Evagene supports medical genograms
Evagene is a clinical pedigree platform. Its notation is NSGC/ISCN standardised and its data model is disease-centric, which makes it a better fit for medical genograms than for family-therapy genograms. Where the therapy tradition adds emotional-relationship layers — closeness, conflict, cut-off — Evagene focuses its depth on the biological and medical layer: a curated catalogue of over 200 diseases keyed to ICD-10 and OMIM, over 55 allergies, over 50 traits, and SNP-derived inferences for blood type and secretor status from 23andMe raw data.
For practitioners whose "genogram" is really a medical family tree, Evagene offers integrated BRCAPRO, MMRpro, and PancPRO risk models, Mendelian inheritance calculators for autosomal dominant, autosomal recessive, and X-linked recessive conditions, automatic consanguinity detection using Wright's coefficient of inbreeding, and AI-assisted clinical interpretation via bring-your-own-key LLMs (Anthropic Claude, OpenAI GPT). Gesture drawing lets you sketch the diagram while speaking with the patient; PNG, SVG, and PDF exports produce the artefacts you need for the record.
Evagene does not replace a family-therapy tool for relational work. It is the right fit when biology and health are the centre of the diagram; it is the wrong fit when emotional dynamics are the centre. Teams that need both dimensions often use one tool for each and keep the structural family data in sync through GEDCOM or a shared tree.
Frequently asked questions
What is a genogram?
A genogram is a graphical representation of a family across three generations that extends a family tree with information about emotional relationships, behavioural patterns, medical conditions, and social history. It was popularised in the 1970s and 1980s within Bowen family systems theory and is widely used in family therapy, social work, nursing, and medical education.
How is a genogram different from a clinical pedigree?
The underlying family structure is the same. A clinical pedigree uses strict NSGC standardised notation and focuses on biological relationships and health information for genetic risk assessment. A genogram adds emotional, behavioural, and social dimensions that a clinical pedigree does not typically record.
What is the best online genogram maker?
It depends on the use case. GenoPro is established among family therapists and social workers. SmartDraw and Lucidchart are good for occasional use via templates. For medical genograms where biology, diseases, and risk models matter, a clinical pedigree platform such as Evagene is a better fit.
Can I use a genogram for medical family history?
Yes. Medical genograms are a recognised teaching and practice tool in family medicine and nursing. For formal risk assessment, a clinical pedigree with structured codes (ICD-10, OMIM) and validated risk models is preferred, but the underlying diagram is compatible with a medical genogram.
Does Evagene draw genograms?
Evagene draws clinical pedigrees using NSGC and ISCN notation, with a deep medical and genetic data model. It does not record the relational annotations (closeness, conflict, cut-off) that sit at the centre of a family-therapy genogram, but it is a strong fit for medical genograms where disease, trait, and ancestry data are the focus.