The persistence and loss of hard selective sweeps amid admixture in ancient Eurasians
Clinical Snapshot
PICO Framework
| P — Population | Ancient and modern Eurasian populations spanning 7,000 years (>800 genomes) |
| I — Intervention | Not applicable - this is a population genetics study examining natural selection patterns |
| C — Comparator | Different time periods and populations to assess persistence of selective sweeps |
| O — Outcomes | Detection and persistence of hard selective sweeps, including known loci (LCT, HLA, KITLG, OCA2/HERC2) and novel sweeps |
Bottom Line
This population genetics study used advanced computational methods to identify selective sweeps in ancient Eurasian DNA spanning 7,000 years. While methodologically sophisticated and evolutionarily significant, the findings have limited direct clinical application. The study identified 48 selective sweeps, with 14 persisting throughout the entire time period despite major demographic events like admixture. The persistent sweeps involved genes affecting neuronal function, reproduction, pigmentation, and cellular signaling. For clinicians, this research primarily contributes to understanding human genetic diversity and evolution rather than immediate patient care, though it may eventually inform pharmacogenomic approaches and population health strategies for diverse patient populations.
Key Findings
P Value: Not reported
Effect Size: 14 sweeps persisted across entire 7,000-year period, indicating strong selective pressure
Primary Outcome: Detection of 48 total selective sweeps (16 known, 32 novel) in ancient Eurasian populations
Nnt Or Sensitivity: Domain-adaptive neural network showed improved detection compared to standard methods, though specific sensitivity/specificity not quantified
Confidence Interval: Not reported
Clinical Application
Research findings rather than clinical intervention - may inform pharmacogenomics and population health strategies Limited direct relevance to Australian clinical practice, though may inform understanding of genetic diversity in immigrant populations and Indigenous Australian genetic distinctiveness Limited direct clinical application - primarily relevant for understanding human evolutionary genetics and population-specific adaptations
Abstract
The extent to which human adaptations have persisted throughout history despite strong eroding demographic events such as admixture, genetic drift, and fluctuations in selection pressures remains unknown. Understanding which adaptations were resilient to such forces may shed light on traits that were important for humans across time. Yet, detecting selection from ancient DNA is challenging due to severe degradation of the data and/or signal. Here we detect selective sweeps using a domain-adaptive neural network (DANN) trained on simulated data and applied to more than 800 ancient and modern Eurasian genomes spanning the last 7,000 y. We show that the DANN can account for simulation misspecification, or discrepancies between simulations and real ancient DNA, improving the ability to detect sweeps in real data compared to standard convolutional neural networks or standard statistics. Application of the DANN to data recovered 16 known sweeps at loci including LCT, HLA, KITLG, and OCA2/HERC2, and revealed 32 novel sweeps. All identified sweeps were classified as hard, consistent with historically low population sizes. While some sweeps were lost over time, 14 sweeps at loci involved in functions including neuronal, reproductive, pigmentation, and signaling traits persisted from the earliest to the most recent time periods. In most cases, the most frequent haplotype remained at high frequency across time. Together, these results indicate that hard sweeps predominated in ancient Eurasians and that several ancient selective events were resilient to strong admixture events.
Related Research
PloS one
Fundus image analysis of retinitis pigmentosa using artificial intelligence
25 July 2026
Journal of medical Internet research
Initial-Visit Specialty Triage in Rare Diseases Using Large Language Models: Retrospective Benchmarking Study
24 July 2026
Nucleic acids research
SNPnexus: an enhanced web platform for large-scale and multi-sample variant analysis (2025 update)
13 July 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service