TY - JOUR
AU1 - Stumpf, Michael P. H.
AU2 - McVean, Gilean A. T.
AB - 


One effect of recombination is to determine the extent of linkage disequilibrium in population DNA samples. 


Direct measurement of the recombination rate is difficult and often impractical. For this reason, population-genetic methods are often used to infer recombination rates from patterns of variation among DNA sequences. 


Population-genetic methods can detect variation in the recombination rate at the level of single genes. 


Although simple parsimony methods allow the number of recombination events to be counted, most recombination events are missed using this approach. 


Sophisticated statistical approaches use population-genetic models to estimate recombination rates. 


Several statistical methods that estimate the population recombination rate have been developed. These are influenced by population history, but can provide important insights into details of the recombination process. 


Biologically important inferences can be drawn from these estimators even if the underlying assumptions are oversimplified. 


Discrepancies between estimated and experimentally measured rates can reveal important biological processes. 


Estimated recombination rates enable the detailed interpretation of linkage disequilibrium and haplotype data. 



TI - Estimating recombination rates from population-genetic data
JF - Nature Reviews Genetics
DO - 10.1038/nrg1227
DA - 2003-12-01
UR - https://www.deepdyve.com/lp/springer-journals/estimating-recombination-rates-from-population-genetic-data-ivoO7FCl53
SP - 959
EP - 968
VL - 4
IS - 12
DP - DeepDyve
ER -