Genetic Assessment
Use when asked to administer, score, or explain a Genetic Assessment — genetic counselling referral using weighted risk factor scoring across cancer, cardiovascular, neuro, and reproductive genetics — grounded in FormExamples/form-examples; closely related to genetics-assessment.
Genetic counselling referral assessment using weighted risk factor scoring across cancer genetics, cardiovascular genetics, neurogenetics, and reproductive genetics.
Scoring
Instrument: Risk Stratification. Range 0–6+.
- 0–2 — Low.
- 3–5 — Moderate.
- ≥ 6 — High.
What it covers
Demographics; referral information; personal medical history; cancer history; family pedigree; cardiovascular genetics; neurogenetics; reproductive genetics; ethnic background and consanguinity; and genetic testing history.
Relationship to genetics-assessment
This assessment (Genetics Assessment is the sibling entry) uses a general 0–6+ weighted risk score across four genetics domains; Genetics Assessment is the more clinically detailed counterpart, using a three-generation pedigree and named risk-scoring tools (Manchester Score, Bethesda criteria) specifically for cancer genetics referral. Check which scope and depth a given context needs.
Common pitfalls
- Scoring family history without a structured pedigree — an informal history misses patterns (which side of the family, which generation, age of onset) that a proper pedigree makes visible and that materially affect risk interpretation.
- Missing consanguinity or ancestry-relevant risk — certain recessive conditions are meaningfully more likely in consanguineous relationships or in specific ancestral populations; skipping this section can understate risk.
- Treating "Moderate" as not requiring referral — moderate risk still typically warrants specialist genetics input per most frameworks; only "Low" is generally reassurance-only.
Learn more
- FormExamples: genetic-assessment for the full implementation, clinical references, and worked examples.
- Genetics Assessment for the more detailed cancer-genetics-focused counterpart.