Document Detail

A coalescent model of background selection with recombination, demography and variation in selection coefficients.
MedLine Citation:
PMID:  23188176     Owner:  NLM     Status:  MEDLINE    
There is increasing evidence that background selection, the effects of the elimination of recurring deleterious mutations by natural selection on variability at linked sites, may be a major factor shaping genome-wide patterns of genetic diversity. To accurately quantify the importance of background selection, it is vital to have computationally efficient models that include essential biological features. To this end, a structured coalescent procedure is used to construct a model of background selection that takes into account the effects of recombination, recent changes in population size and variation in selection coefficients against deleterious mutations across sites. Furthermore, this model allows a flexible organization of selected and neutral sites in the region concerned, and has the ability to generate sequence variability at both selected and neutral sites, allowing the correlation between these two types of sites to be studied. The accuracy of the model is verified by checking against the results of forward simulations. These simulations also reveal several patterns of diversity that are in qualitative agreement with observations reported in recent studies of DNA sequence polymorphisms. These results suggest that the model should be useful for data analysis.
K Zeng
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-11-28
Journal Detail:
Title:  Heredity     Volume:  110     ISSN:  1365-2540     ISO Abbreviation:  Heredity (Edinb)     Publication Date:  2013 Apr 
Date Detail:
Created Date:  2013-03-20     Completed Date:  2013-09-03     Revised Date:  2014-04-01    
Medline Journal Info:
Nlm Unique ID:  0373007     Medline TA:  Heredity (Edinb)     Country:  England    
Other Details:
Languages:  eng     Pagination:  363-71     Citation Subset:  IM    
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MeSH Terms
Genetic Fitness
Genetic Variation*
Models, Genetic
Models, Theoretical*
Population Density
Recombination, Genetic / genetics*
Selection, Genetic / genetics*

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