# genomic medicine

> medical discipline based on use of genomic information about individuals for clinical care and health policy

**Wikidata**: [Q6008695](https://www.wikidata.org/wiki/Q6008695)  
**Source**: https://4ort.xyz/entity/genomic-medicine

## Summary
Genomic medicine is a medical discipline that uses genomic information about individuals for clinical care and health policy. It applies genomic data to personalize treatment, predict disease risk, and guide healthcare decisions. This field bridges genomics and clinical medicine to improve patient outcomes.

## Key Facts
- Genomic medicine is a subclass of medicine and a facet of medical treatment
- It is partially coincident with personalized medicine and precision medicine
- The field has a UMLS CUI code: C5420600
- It is classified under MeSH tree codes E02.479 (medical treatment) and H02.403.200.550 (clinical medicine)
- The MeSH descriptor ID for genomic medicine is D000088744
- Instituto Nacional de Medicina Genómica in Mexico was founded on July 19, 2004
- The field has 1 Wikipedia sitelink and is available in Spanish
- It is described as an interdisciplinary field of biology in Wikidata

## FAQs
### Q: What is the difference between genomic medicine and personalized medicine?
A: Genomic medicine is partially coincident with personalized medicine, meaning they overlap significantly but are not identical. Genomic medicine specifically uses genomic information, while personalized medicine may incorporate other types of data.

### Q: How is genomic medicine classified in medical taxonomies?
A: Genomic medicine is classified under MeSH tree codes E02.479 for medical treatment and H02.403.200.550 for clinical medicine, and has a MeSH descriptor ID of D000088744.

### Q: What is the relationship between genomic medicine and genomics?
A: Genomic medicine is an instance of genomics, meaning it applies genomic science directly to clinical care and health policy rather than being purely research-focused.

## Why It Matters
Genomic medicine represents a fundamental shift in healthcare from a one-size-fits-all approach to personalized treatment based on individual genetic makeup. By analyzing a patient's genomic information, clinicians can predict disease susceptibility, select optimal medications, and tailor prevention strategies. This approach improves treatment efficacy, reduces adverse drug reactions, and enables earlier disease detection. Genomic medicine also informs health policy decisions by identifying population-level genetic risk factors and guiding resource allocation. The field has transformed how we understand and treat complex diseases like cancer, where genomic profiling guides targeted therapies. As sequencing costs decrease and our understanding of genetic variants expands, genomic medicine continues to move from specialized research settings into routine clinical practice, promising more precise, effective, and preventive healthcare for all patients.

## Notable For
- Being the first medical discipline to systematically integrate genomic data into clinical decision-making
- Establishing the Instituto Nacional de Medicina Genómica in Mexico as a dedicated research center in 2004
- Creating standardized classifications in major medical taxonomies including MeSH and UMLS
- Bridging the gap between basic genomic research and practical clinical applications
- Enabling the development of targeted therapies based on specific genetic mutations

## Body
### Historical Development
Genomic medicine emerged as sequencing technologies became faster and more affordable in the early 2000s. The completion of the Human Genome Project in 2003 provided the foundational knowledge that enabled clinical applications of genomics. The field has since evolved from research laboratories into mainstream clinical practice.

### Clinical Applications
Genomic medicine is used in various clinical contexts including cancer treatment selection, pharmacogenomics for drug dosing and selection, prenatal screening, and rare disease diagnosis. It enables clinicians to identify genetic variants that affect disease risk, drug metabolism, and treatment response.

### Infrastructure and Resources
The field requires specialized infrastructure including genomic sequencing facilities, bioinformatics capabilities, and clinical decision support systems. Healthcare providers need training in genomic interpretation and counseling to effectively implement genomic medicine.

### Policy and Ethical Considerations
Genomic medicine raises important policy questions about data privacy, insurance discrimination, and equitable access to genomic technologies. Regulatory frameworks continue to evolve to address these challenges while promoting innovation in the field.

### Future Directions
The field continues to expand with advances in sequencing technology, artificial intelligence for variant interpretation, and integration of multi-omics data. Emerging applications include liquid biopsies for cancer monitoring, polygenic risk scoring for common diseases, and population-level genomic screening programs.

## References

1. UMLS 2023