How can polygenic inheritance be used in population screening for common diseases?

Area of Science:

• Genomics
• Public Health
• Preventive Medicine

Background:

• Genomic advances significantly impact monogenic disorder diagnosis and management.
• Polygenic risk models are generally not useful for diagnosing or predicting common complex diseases individually.
• Polygenic risk models can potentially enhance stratified population screening when combined with other risk factors.

Purpose of the Study:

• To explore the potential of polygenic risk scores in stratified population screening for common complex diseases.
• To identify the challenges and opportunities for integrating genomic information into public health screening strategies.
• To discuss the implications of direct-to-consumer genomic data on healthcare systems.

Main Methods:

• Review of current literature on polygenic risk models and their application in screening.
• Analysis of potential benefits and challenges of stratified screening compared to age-based criteria.
• Discussion of implementation hurdles including evidence gaps and healthcare system integration.

Main Results:

• Polygenic risk combined with family history may enable more efficient cancer screening (e.g., breast, colorectal, prostate) by adjusting start times and frequency based on individual risk.
• Significant challenges exist in building the evidence base, including a lack of empirical data on combined risk factors and intervention impacts.
• Implementation faces obstacles related to healthcare system integration, risk threshold setting, and ethical, legal, and social issues.

Conclusions:

• Stratified screening using polygenic risk is a promising concept but requires substantial evidence generation to prove its worth.
• The public health and healthcare systems must prepare for the evidence-based integration of genomic information into population screening programs.
• Addressing implementation challenges is crucial for realizing the potential of genomic data in preventive medicine.