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Linkage disequilibrium (LD) patterns reveal human population divergence times. Our findings suggest an effective separation around 25,000 years ago, likely influenced by post-separation migration.

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Area of Science:

  • Population Genetics
  • Human Evolutionary Studies
  • Genomic Analysis

Background:

  • Genetic markers and linkage disequilibrium (LD) can track population history.
  • Estimating divergence times is crucial for understanding human migration and evolution.
  • Allele frequency drift has a lesser impact on LD divergence than on allele frequency divergence.

Purpose of the Study:

  • To derive and verify a method for estimating absolute population divergence times using LD.
  • To apply this method to HapMap Phase II data for human populations.
  • To investigate the influence of migration on divergence time estimates.

Main Methods:

  • Developed a theoretical framework relating linkage disequilibrium (LD) to time of divergence.
  • Validated the method using coalescent simulations.
  • Analyzed HapMap Phase II data to calculate LD correlations between African and non-African populations.

Main Results:

  • Observed a positive correlation of LD between African and non-African populations up to approximately 0.3 centimorgans (cM).
  • Estimated an effective separation time of approximately 1,000 generations (around 25,000 years before present).
  • Coalescent simulations confirmed that low levels of post-separation migration can bias divergence time estimates downwards.

Conclusions:

  • The observed LD patterns suggest a relatively recent effective separation time for human populations.
  • Substantial post-separation migration is the most likely explanation for the low estimated divergence times.
  • The method provides a valuable tool for inferring population history, but migration effects must be considered.