Linkage Disequilibrium in Natural Populations

Summary

Linkage disequilibrium (LD) describes the non-random association of alleles at different genetic loci within natural populations. It arises through the interplay of forces such as recombination, genetic drift, mutation and selection, and is shaped by population history, mating system and demographic events. Patterns of LD vary across taxa and genomic regions, reflecting life-history traits and ecological pressures. In large, outcrossing populations recombination tends to erode LD rapidly over short distances, while small or structured populations often retain extended haplotypes. Measuring LD is central to mapping adaptive variants, reconstructing demographic history and designing conservation strategies. Empirical surveys across humans, wildlife and plant populations have revealed both conserved and unique LD landscapes, highlighting how selection for local adaptation or admixture can produce unexpected blocks of association. The global significance of LD extends from tracing ancient migrations in human populations to guiding marker choices in breeding programmes and identifying regions under selection in threatened species.

Research from Nature Portfolio

Recent simulation work has assessed the ability of multi-locus statistics to detect divergent epistatic selection in subdivided populations. By applying D’IS2 and FST metrics, researchers showed that additive-by-additive interactions generate pronounced departures from neutrality in diverged subpopulations, while other forms of epistasis are more challenging to distinguish. The study highlights both the promise and limitations of genome-wide scans in identifying pairs of loci under epistatic selection and underscores the need for careful threshold setting and frequency filtering when interpreting signal peaks.

Linkage Disequilibrium in Natural Populations publication trend

The graph below shows the total number of articles in linkage disequilibrium in natural populations across all publications each year (not limited to Nature Index journals).

Technical terms

Linkage disequilibrium: non-random association of alleles at different loci in a population.

Haplotype: combination of alleles at adjacent loci that are inherited together as a block.

Recombination: process by which genetic material is reshuffled during meiosis, breaking down associations among loci over generations.

Epistasis: interaction between genes in which the effect of one locus depends on the genotype at another locus.

r2 statistic: squared correlation coefficient measuring the strength of linkage disequilibrium between two loci.

References

  1. Screening for epistatic selection signatures: A simulation study. Scientific Reports (2019).
  2. Negative linkage disequilibrium between amino acid changing variants reveals interference among deleterious mutations in the human genome. PLOS Genetics (2021).
  3. On the Distribution of Tract Lengths During Adaptive Introgression. G3: Genes, Genomes, Genetics (2020).
  4. Exact Distribution of Linkage Disequilibrium in the Presence of Mutation, Selection, or Minor Allele Frequency Filtering. Frontiers in Genetics (2020).

About these summaries

This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.

Nature Strategy Reports
Turn complex research questions into confident strategic decisions 

When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.

  • Benchmark your performance against global peers using robust, methodologically sound analysis.

  • Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.

  • Gain tailored, decision-ready recommendations aligned to your strategic priorities.

Talk to us to learn more about our data dashboards and bespoke strategy reports.

Nature Masterclasses
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.

Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:

  • Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.

  • Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.

  • Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.

Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.