Objective:

To analyze ancient human genomes to understand how genetic variants linked to modern traits and disease risk have been shaped by natural selection over the past 10,000 years.

Key Findings:

• Hundreds of genetic variants were influenced by selection over the past 10,000 years.
• Adaptation occurred across many genes simultaneously, particularly those linked to complex traits.
• Changes were observed in genetic predictors linked to traits such as body fat and schizophrenia risk.
• Selection signals were more common in genomic regions associated with immune function, inflammation, and cardiometabolic traits.
• The strength of selection varied over time, reflecting shifts in environment, diet, population structure, and disease exposure.

Interpretation:

The findings suggest that many genetic variants associated with clinical traits may reflect long-term evolutionary pressures rather than recent changes, influencing genetic risk distribution across populations.

Limitations:

• Reliance on modern genetic association data may limit interpretation.
• Further work is needed to link findings to clinical outcomes and disease mechanisms.

Conclusion:

The study provides insights into the evolutionary context of genetic variation linked to disease, highlighting the complexity of adaptation over time.