@article{achaz_frequency_2009,
Author = {Achaz, Guillaume},
Title = {Frequency spectrum neutrality tests: one for all and
all for one},
Journal = {Genetics},
Volume = {183},
Number = {1},
Pages = {249--258},
abstract = {Neutrality tests based on the frequency spectrum
(e.g., Tajima's D or Fu and Li's F) are commonly used
by population geneticists as routine tests to assess
the goodness-of-fit of the standard neutral model on
their data sets. Here, I show that these neutrality
tests are specific instances of a general model that
encompasses them all. I illustrate how this general
framework can be taken advantage of to devise new more
powerful tests that better detect deviations from the
standard model. Finally, I exemplify the usefulness of
the framework on SNP data by showing how it supports
the selection hypothesis in the lactase human gene by
overcoming the ascertainment bias. The framework
presented here paves the way for constructing novel
tests optimized for specific violations of the standard
model that ultimately will help to unravel scenarios of
evolution.},
doi = {10.1534/genetics.109.104042},
issn = {1943-2631},
language = {eng},
month = sep,
pmcid = {PMC2746149},
pmid = {19546320},
shorttitle = {Frequency spectrum neutrality tests},
year = 2009
}