Medical History Genogram: A Clinical Example

A physician seeing a 42-year-old woman for a routine physical might spend twenty minutes taking a family history and still miss the most important pattern. Questions asked one at a time, without structure, do not surface what a three-generation medical genogram shows at a glance: her mother was diagnosed with breast cancer at 48, her maternal aunt at 44, and her maternal grandmother died of ovarian cancer. Three members, two generations, same maternal line.

That pattern is not obvious from a verbal history. It is obvious from a diagram.

Why Clinicians Use Medical Genograms

The medical genogram sits at the intersection of family systems thinking and clinical medicine. It shows generational relationships that are invisible when you look at each data point individually.

The conditions most important to track in a medical genogram share a key feature: their risk is substantially increased by family history. Hereditary conditions do not simply appear in isolation. They cluster in family lines, appear across generations at similar ages, and follow patterns that have predictive value for people who have not yet developed the condition.

For genetic counselors, a family history that reveals BRCA-related patterns can prompt genetic testing that might otherwise not be considered. For a primary care physician, a genogram showing cardiovascular disease in a father at 52 and a paternal grandfather at 56 changes the urgency of lipid screening in their 45-year-old patient. For a neurologist following a patient with early cognitive symptoms, a maternal grandmother and an aunt with Alzheimer's shifts the differential.

Bessel van der Kolk's work on intergenerational transmission of trauma (The Body Keeps the Score) makes a related point: psychological and physiological patterns travel through families together. A complete medical genogram does not separate body-based conditions from mental health. Both are part of the family's biological and experiential inheritance.

Building a Medical Genogram: The Clinical Case

The following example uses a fictional clinical presentation for illustrative purposes.

The presenting concern: A 44-year-old woman, Teresa, presents to her primary care physician following a breast cancer diagnosis in her sister (age 47). She wants to understand her own risk.

Three-generation structure:

Maternal grandparents: Maria (died, ovarian cancer, age 61). Giovanni (died, myocardial infarction, age 68, hypertension noted).

Paternal grandparents: Carmen (alive, 79, type 2 diabetes). Roberto (died, stroke, age 71, hypertension).

Mother: Elena (alive, 72, breast cancer diagnosed age 48, in remission, type 2 diabetes).

Father: Marco (alive, 74, hypertension, no cancer history).

Maternal aunt: Rosa (diagnosed breast cancer, age 44, died age 52).

Paternal uncle: José (alive, 70, no significant conditions).

Sibling: Teresa's sister Carmen (diagnosed breast cancer, age 47 — the presenting event).

Teresa herself: 44, otherwise healthy, no prior cancer diagnosis.

Drawing the diagram:

The structural skeleton follows standard conventions: grandparents in row 1, parents in row 2, Teresa and her sister in row 3. Deceased members marked with X. Cause of death noted below symbols for Maria, Giovanni, and Rosa.

Medical annotations:

Each condition is noted inside or immediately beside the individual's symbol, using standard abbreviations:

• BrCa — breast cancer, with age of onset
• OvCa — ovarian cancer
• MI — myocardial infarction
• HT — hypertension
• CVA — stroke (cerebrovascular accident)
• DM2 — type 2 diabetes

Age of onset is written as a superscript number beside the abbreviation: BrCa⁴⁸ for Elena, BrCa⁴⁴ for Rosa, BrCa⁴⁷ for her sister.

Reading the Pattern

The completed diagram makes several patterns visible that would be easy to miss in a verbal family history:

Breast and ovarian cancer clustering on the maternal line. Maria (ovarian cancer), Elena (breast cancer), Rosa (breast cancer), and Teresa's sister (breast cancer) are all on the maternal side, and the cancers are all in the BRCA-associated category. The age of onset — 44, 47, 48, 61 — is not strikingly early for any individual, but the cluster across three generations on a single line is significant.

Cardiovascular risk on both sides. Giovanni died of a myocardial infarction; Roberto died of a stroke; both paternal grandfather and father have hypertension. Teresa's cardiovascular risk profile, regardless of the cancer question, warrants attention.

Metabolic risk. Elena and Carmen both have type 2 diabetes. Combined with the cardiovascular history, this suggests a metabolic pattern worth monitoring.

What the diagram prompts: A genetic counselor reviewing this diagram would likely recommend BRCA testing given the clustering of breast and ovarian cancer on the maternal line. The primary care physician would address both the immediate cancer risk question and the cardiovascular and metabolic monitoring that the family history suggests.

Annotation Conventions in Clinical Settings

Medical genograms use the same structural symbols as clinical genograms — squares for males, circles for females, X through the symbol for deceased — with additional medical-specific conventions:

Condition abbreviations are written inside or near the symbol. Common standards vary somewhat between institutions, but most follow the abbreviations used in the genetic counseling literature.

Age of onset is noted as a superscript or small number alongside the abbreviation. This is critical data: breast cancer at 35 is clinically different from breast cancer at 70, even for the same person. Early onset often indicates stronger hereditary contribution.

Cause of death is written below a deceased person's symbol, often with the age at death.

Current age for living members is noted inside or beside their symbol, making it easy to contextualize onset ages relative to current risk.

Unknown information is marked with a question mark rather than left blank. The distinction matters: "no known cancer history" and "we never asked" are different clinical facts.

Mental Health in the Medical Genogram

Mental health conditions are medical conditions. A medical genogram that records cardiovascular disease across three generations but omits depression, bipolar disorder, and anxiety fails to capture a significant part of the hereditary picture.

This omission is partly historical — mental health diagnoses were not reliably coded in medical records until relatively recently, and family members often described mental health struggles in language that obscured the clinical reality ("high-strung," "difficult," "delicate," "broken down"). Part of good genogram interview practice is learning to hear these euphemisms and ask the follow-up questions that translate them.

In practice, common mental health items in a medical genogram include:

• DEP — depression (distinguish unipolar from bipolar where possible)
• BPD — bipolar disorder
• ANX — anxiety disorder
• PTSD — post-traumatic stress disorder (increasingly documented in clinical records)
• SCZ — schizophrenia
• ASD — autism spectrum disorder (more reliably diagnosed in recent decades; older family members may have been informally described rather than formally diagnosed)

Suicide and suicide attempts are also documented — typically with a separate notation near the individual's symbol. This information is sensitive and important. The pattern of suicidal behavior in a family is one of the stronger risk indicators in clinical assessment.

The Body as Carrier of Family History

Bessel van der Kolk's research, documented in The Body Keeps the Score, demonstrates that trauma leaves physiological traces — in stress hormone regulation, immune function, and the nervous system. Families with histories of significant trauma often show elevated rates not only of mental health conditions but of the physical health conditions that correlate with chronic stress: cardiovascular disease, autoimmune conditions, metabolic disorders.

A medical genogram that treats mental health and behavioral patterns as separate from physical health is working with an outdated model. The most useful medical genograms integrate both: a family member had heart disease at 55 and lived through significant trauma in their 30s. These may be related.

Medical genograms are increasingly used in functional medicine and integrative health, where the clinical picture includes social and psychological history alongside biomedical data.

The Limits of the Medical Genogram

A medical genogram captures what families know and are willing to share. Many significant health events go undisclosed: mental health diagnoses, substance use disorders, pregnancy losses, diagnoses that carried stigma in the context of their time.

It also captures what families remember. A woman who died of "stomach problems" in the 1940s may have had ovarian or colorectal cancer, but the family recorded what they understood, not what a modern pathologist would diagnose.

Building the most complete medical genogram possible means asking specifically, not just broadly. "Did anyone in the family have cancer?" yields different information than asking about breast cancer, ovarian cancer, and colon cancer separately. The interview questions guide covers how to gather this information systematically.

For notation, the symbols reference covers the current standard including medical annotation conventions. For the step-by-step drawing process, the how-to-draw guide covers placement and structure.

Clinical genogram work often begins with paper. FamRoots lets you move that work into a shareable digital format, useful when coordinating between a primary care physician, a genetic counselor, and a specialist.