Draw, analyse, and export pedigree charts that meet clinical standards. Genosm automatically detects inheritance patterns, flags consanguinity, and generates narrative reports, so you focus on the family, not the formatting.
A pedigree chart is a standardized diagram that maps the biological relationships in a family across multiple generations, alongside health conditions, genetic variants, and clinical status. It is the primary tool in clinical genetics for visualizing how a trait or condition is transmitted from one generation to the next.
Squares represent males, circles represent females, and filled symbols mark affected individuals. Horizontal lines connect couples; vertical and angled lines connect parents to children. A double horizontal line indicates a consanguineous union. When you layer in genetic test results, HPO phenotype codes, age of onset, and carrier status, the chart becomes a diagnostic instrument rather than just a diagram.
Clinical pedigrees are used in genetic counseling intake, rare disease workup, cancer predisposition assessment, reproductive planning, research cohort characterization, and medical education. Standards from the American College of Medical Genetics and Genomics (ACMG) and the National Society of Genetic Counselors (NSGC) define the symbol set practitioners are expected to follow.
A genogram extends the pedigree into psychosocial territory. Where a pedigree chart focuses on biological relationships and medical or genetic traits, a genogram adds emotional relationship quality, behavioral patterns, mental health history, substance use, and family role dynamics. Genograms are widely used in family therapy, social work, and systemic counseling.
Genosm supports both. The pedigree chart builder is purpose-built for clinical genetics workflows with HPO integration, inheritance analysis, and NSGC-standard symbols. The genogram module adds the psychosocial layer for therapists and social workers. You can run both on the same case.
Most pedigree chart tools stop at drawing. Genosm adds a full analysis engine, so the chart you build immediately tells you what the pattern likely is and exactly why.
Paste clinical case notes and the AI pedigree chart maker parses names, relationships, conditions, and generations into a complete chart. Handles complex multi-branch families in seconds.
Every pedigree chart is run through a 6-pattern analysis engine. Autosomal dominant, autosomal recessive, X-linked recessive, X-linked dominant, mitochondrial, and Y-linked modes scored simultaneously, ranked by confidence.
Each classification ships with a complete criterion-by-criterion evidence trail. See exactly which transmission rules were met, which were not, and why a competing pattern was ruled out.
Tag each individual with Human Phenotype Ontology (HPO) terms. Phenotypes appear on the canvas and are included in the clinical narrative report and PDF export.
Families with HBOC, Lynch syndrome, Li-Fraumeni syndrome, or Cowden syndrome benefit from automatic condition grouping. Related conditions are analysed together as a hereditary unit.
Charts are stored locally on your device by default. AI processing uses a local PHI/PII Strip Guard before any text reaches external APIs. Your patient data stays yours.
From blank canvas to a complete pedigree chart with inheritance analysis in five straightforward steps.
Start with the patient presenting for evaluation. Mark them as the index person. Add sex, age, vital status, and any known genetic conditions or HPO phenotype codes.
Add parents, siblings, grandparents, children, and partners using the drag-and-drop panel. Relationships use NSGC-compatible pedigree symbols by default. Mark consanguineous unions with a double line. Add twin or multiple birth groups where relevant.
For each individual, add conditions with affected or carrier status, age of onset, genetic test type, and result (positive, negative, VUS, or inconclusive). Search by MONDO ID, OMIM number, or condition name using the built-in ontology lookup.
Open the Pedigree Analysis panel. The engine processes all conditions simultaneously, scores all six inheritance patterns, applies Mendelian exclusion rules, and returns a ranked classification with confidence scores and clinical flags within seconds.
Export as a high-resolution PDF, PNG, or SVG. The clinical PDF includes the chart, narrative summary, inheritance classification, evidence trail, HPO phenotype list, and any flags raised during analysis.
Figure 1: Genosm's interactive pedigree rendering showcasing genomic imprinting transmission dynamics.
Angelman syndrome is caused by a pathogenic mutation or deletion in the maternal copy of the UBE3A gene. In central nervous system neurons, the paternal copy of UBE3A is naturally silenced (genomic imprinting), meaning only the maternally inherited copy is expressed.
This creates a distinctive pedigree pattern that standard Mendelian models classify as inconclusive, but which Genosm surfaces clearly:
Every pedigree chart is evaluated against all six classical Mendelian inheritance modes simultaneously. Competing explanations are scored at the same time, not tested one by one.
A single copy of the pathogenic variant on a non-sex chromosome causes the condition.
Two copies, one from each parent, are required. Carriers are clinically unaffected.
Carried on the X chromosome; one copy in males, two in females to cause disease.
One copy on the X chromosome is sufficient; both parental routes evaluated independently.
Inherited exclusively through the maternal line via mitochondrial DNA.
Carried on the Y chromosome; transmission is strictly paternal, father to every son.
The engine processes every condition through a five-stage pipeline. Hard biological exclusion rules run independently of scoring, so a high score can never override a transmission event that is definitionally impossible.
Builds the family graph: parents, children, partnerships, and generation depth. Handles individuals joining without recorded ancestry.
All six modes scored at once: vertical vs. horizontal transmission, sex ratio, carrier transmission, consanguinity, parent-of-origin effects.
Hard-rule checks rule out patterns only when the pedigree makes them definitionally impossible, not merely atypical.
Reference classifications and test results are checked across every condition cluster; competing evidence adjusts confidence scores.
Evidence converts to a bounded score, adjusted for genetic test concordance, scaled to the amount of available pedigree data.
Beyond pattern classification, the engine raises flags that a reviewer should check:
Families with hereditary cancer syndromes rarely present with a single clean diagnosis. A family with breast cancer, ovarian cancer, and pancreatic cancer is far more informative analysed together as a possible HBOC cluster than as three separate conditions. Genosm automatically recognizes recurring clusters including HBOC, Lynch syndrome (HNPCC), Li-Fraumeni syndrome, Cowden syndrome, and Peutz-Jeghers syndrome, and applies reference classification context across the whole cluster.
Custom condition groups can be defined for research settings where novel syndromic presentations are being characterized outside these presets.
Pedigree collection during genetic counseling intake is time-consuming. Genosm speeds up the structural work: build the pedigree from case notes using the AI parser, record conditions and test results, and let the analysis engine produce a first-pass inheritance classification before the counselor's formal review. The evidence trail is already there when it is time to explain the reasoning to the patient.
For complex multi-generation families with multiple conditions, manual pattern review across six possible inheritance modes is error-prone. The pedigree chart analyser evaluates every condition in the same pass and shows exactly which transmission criteria were met and which were not, condition by condition, giving the clinician a structured starting point rather than a blank page.
Lynch syndrome, HBOC, and related cancer predisposition syndromes are defined by family history as much as by single-gene results. A pedigree chart with multi-generation data and syndrome clustering gives a cancer genetic counselor a defensible picture of familial risk that a single test result cannot provide on its own.
Pre-screening pedigrees in a research cohort for inheritance patterns of interest is labour-intensive at scale. The analysis engine processes each pedigree asynchronously and returns ranked classifications with confidence scores, making it practical to triage which families warrant deeper sequencing or manual review.
The evidence trail that ships with every classification doubles as a teaching tool. Instead of looking up whether a pedigree pattern is consistent with autosomal recessive inheritance, trainees can see the specific transmission criteria evaluated against the actual family, and why the engine ruled out competing hypotheses. Active learning, not passive reading.
Pedigree drawing tools have existed for decades. What they have not done, until now, is analyse what they draw.
| Feature | Genosm | Progeny | GenoPro | PhenoTips | FamGenix |
|---|---|---|---|---|---|
| Standard pedigree chart drawing | Yes | Yes | Yes | Yes | Yes |
| NSGC-standard symbols | Yes | Yes | Partial | Yes | Yes |
| Automatic inheritance pattern analysis (all 6 modes) | Yes | Limited | No | Limited | Limited |
| Explainable evidence trail per classification | Yes | No | No | No | No |
| HPO phenotype tagging with Monarch lookup | Yes | Partial | No | Yes | Partial |
| Auto syndrome clustering (HBOC, Lynch, Li-Fraumeni) | Yes, automatic | Partial (Via BRCAPRO) | No | No | Partial (Via risk models) |
| AI natural-language pedigree generation | Yes | No | No | No | No |
| Anticipation and age-of-onset tracking | Yes | Yes | Partial | Partial | Yes |
| Genogram mode for psychosocial mapping | Yes | No | Yes (Primary focus) | No | No |
| Local-first privacy, no cloud PHI storage by default | Yes | Cloud & On-Premise | Yes (Desktop app) | Cloud & On-Premise | Cloud only |
Comparison based on publicly documented features as of 2026. Tool capabilities change over time.
What is a pedigree chart used for in genetics?
A pedigree chart is used to visualize how genetic conditions, traits, or variants are inherited across family generations. Clinicians use it to identify the likely inheritance pattern, assess recurrence risk, decide which relatives should be offered testing, and document family history in a standardized format for patient records and case review.
How is a pedigree chart different from a family tree?
A family tree records biographical relationships and life events. A clinical pedigree chart follows standardized medical symbols, includes health and genetic condition data, tracks affected and carrier status, and is designed to support inheritance pattern analysis. Genosm adds an automated analysis engine on top of the drawing tool.
Does the pedigree chart analyser replace a genetic counselor?
No. The engine produces a structured first-pass classification with a full evidence trail, intended to be reviewed by a qualified professional. It accelerates pedigree review; it does not replace clinical judgment.
Can I analyse multiple genetic conditions on the same pedigree?
Yes. Every condition recorded on the pedigree is evaluated in the same analysis pass. Recognized hereditary syndrome clusters like HBOC and Lynch syndrome are automatically grouped and analysed as a single hereditary unit. Custom condition groups can be defined for research purposes.
What happens with an incomplete pedigree?
The engine produces a best-available classification and explicitly flags limitations. A single-generation pedigree is flagged as such. A pedigree with fewer than four individuals is flagged as small. Confidence scores are deliberately suppressed when the data does not support precision.
Can I export the pedigree chart for patient records?
Yes. Export as a high-resolution PDF, PNG, or SVG. The full clinical PDF includes the chart, narrative summary, inheritance classification with confidence score, evidence trail, HPO phenotype list, and any clinical flags raised during analysis.
Is patient data secure?
Pedigree data is stored locally on your device by default. The AI generation feature uses a local PHI/PII Strip Guard to remove identifiers before any text reaches external models. Genosm does not sell or share clinical data with third parties.
Is there a free pedigree chart builder I can try?
Genosm offers a free trial that includes the full pedigree chart builder and analysis engine. No credit card is required for the first week. After the trial, a subscription is required for continued access to the clinical feature set.
Join genetic counselors, clinical geneticists, and researchers using Genosm. Start with a free trial, no credit card required for the first week.