In 2002 Kim and Stephan proposed a promising composite-likelihood method for localizing and estimating the fitness advantage of a recently fixed beneficial mutation. Here, we demonstrate that their composite-likelihood-ratio (CLR) test comparing selective and neutral hypotheses is not robust to undetected population structure or a recent bottleneck, with some parameter combinations resulting in a false positive rate of nearly 90%. We also propose a goodness-of-fit test for discriminating rejections due to directional selection (true positive) from those due to population and demographic forces (false positives) and demonstrate that the new method has high sensitivity to differentiate the two classes of rejections.
Description
Distinguishing Between Selective Sweeps and Demography Using DNA Polymorphism Data -- Jensen et al. 170 (3): 1401 -- Genetics
%0 Journal Article
%1 jensen2005sweeps
%A Jensen, Jeffrey D.
%A Kim, Yuseob
%A DuMont, Vanessa Bauer
%A Aquadro, Charles F.
%A Bustamante, Carlos D.
%D 2005
%J Genetics
%K hitchhiking inference
%N 3
%P 1401-1410
%R 10.1534/genetics.104.038224
%T Distinguishing Between Selective Sweeps and Demography Using DNA Polymorphism Data
%U http://www.genetics.org/cgi/content/abstract/170/3/1401
%V 170
%X In 2002 Kim and Stephan proposed a promising composite-likelihood method for localizing and estimating the fitness advantage of a recently fixed beneficial mutation. Here, we demonstrate that their composite-likelihood-ratio (CLR) test comparing selective and neutral hypotheses is not robust to undetected population structure or a recent bottleneck, with some parameter combinations resulting in a false positive rate of nearly 90%. We also propose a goodness-of-fit test for discriminating rejections due to directional selection (true positive) from those due to population and demographic forces (false positives) and demonstrate that the new method has high sensitivity to differentiate the two classes of rejections.
@article{jensen2005sweeps,
abstract = {In 2002 Kim and Stephan proposed a promising composite-likelihood method for localizing and estimating the fitness advantage of a recently fixed beneficial mutation. Here, we demonstrate that their composite-likelihood-ratio (CLR) test comparing selective and neutral hypotheses is not robust to undetected population structure or a recent bottleneck, with some parameter combinations resulting in a false positive rate of nearly 90%. We also propose a goodness-of-fit test for discriminating rejections due to directional selection (true positive) from those due to population and demographic forces (false positives) and demonstrate that the new method has high sensitivity to differentiate the two classes of rejections.
},
added-at = {2010-03-26T00:02:33.000+0100},
author = {Jensen, Jeffrey D. and Kim, Yuseob and DuMont, Vanessa Bauer and Aquadro, Charles F. and Bustamante, Carlos D.},
biburl = {https://www.bibsonomy.org/bibtex/248b7923ac48afa32f8e363a16b6c8860/peter.ralph},
description = {Distinguishing Between Selective Sweeps and Demography Using DNA Polymorphism Data -- Jensen et al. 170 (3): 1401 -- Genetics},
doi = {10.1534/genetics.104.038224},
eprint = {http://www.genetics.org/cgi/reprint/170/3/1401.pdf},
interhash = {e6b18c07d04539e2794ba39d6eb2a389},
intrahash = {48b7923ac48afa32f8e363a16b6c8860},
journal = {Genetics},
keywords = {hitchhiking inference},
number = 3,
pages = {1401-1410},
timestamp = {2010-03-26T00:02:33.000+0100},
title = {Distinguishing Between Selective Sweeps and Demography Using {DNA} Polymorphism Data},
url = {http://www.genetics.org/cgi/content/abstract/170/3/1401},
volume = 170,
year = 2005
}