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Pervasive cryptic selection in the human noncoding genome
Biorxiv : the Preprint Server for Biology
|June 22, 2026
Summary
Cryptic selection, where mutations are under negative selection but not detected by conservation, is pervasive in the human genome. This evolutionary dynamic challenges traditional methods, revealing more genome-wide constraint than previously estimated.
Area of Science:
- Evolutionary genetics
- Comparative genomics
- Human population genetics
Background:
- Traditional evolutionary genetics assumes conserved sequences are under negative selection, while non-conserved ones evolve neutrally.
- Comparative genomics estimates ~5% of the human genome experiences negative selection, but functional turnover may hide other selected sites.
- The extent of this 'cryptic' or hidden negative selection remains largely unknown.
Purpose of the Study:
- To develop a statistical method for detecting cryptic selection in human polymorphism data.
- To quantify the prevalence and impact of cryptic selection on genome-wide constraint estimates.
- To highlight the limitations of conservation-based approaches in evolutionary genetics.
Main Methods:
- Developed a novel statistical test to identify cryptic selection using human polymorphism data.
- Applied the test to simulated data to assess detection power based on selection proportion, sequence length, and sample size.
- Analyzed polymorphism data from the 1000 Genomes Project, comparing functional and neutral regions.
Main Results:
- Cryptic selection significantly shapes the site frequency spectrum (SFS).
- Pervasive signals of cryptic selection were detected in putatively functional noncoding regions, even after removing highly conserved sites.
- Estimated that at least 7% of the human genome is under negative selection, exceeding previous conservation-based estimates.
Conclusions:
- Cryptic selection is widespread in the human genome and has been underestimated by conservation-based methods.
- Functional turnover in noncoding regions contributes significantly to genome-wide constraint.
- Future evolutionary analyses must incorporate functional turnover to accurately identify neutral variants.
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