Literature DB >> 28679545

Decomposing the Site Frequency Spectrum: The Impact of Tree Topology on Neutrality Tests.

Luca Ferretti1, Alice Ledda2, Thomas Wiehe3, Guillaume Achaz4,5, Sebastian E Ramos-Onsins6.   

Abstract

We investigate the dependence of the site frequency spectrum on the topological structure of genealogical trees. We show that basic population genetic statistics, for instance, estimators of θ or neutrality tests such as Tajima's D, can be decomposed into components of waiting times between coalescent events and of tree topology. Our results clarify the relative impact of the two components on these statistics. We provide a rigorous interpretation of positive or negative values of an important class of neutrality tests in terms of the underlying tree shape. In particular, we show that values of Tajima's D and Fay and Wu's H depend in a direct way on a peculiar measure of tree balance, which is mostly determined by the root balance of the tree. We present a new test for selection in the same class as Fay and Wu's H and discuss its interpretation and power. Finally, we determine the trees corresponding to extreme expected values of these neutrality tests and present formulas for these extreme values as a function of sample size and number of segregating sites.
Copyright © 2017 by the Genetics Society of America.

Keywords:  coalescent theory; neutrality tests; site frequency spectrum; tree balance; tree shape

Mesh:

Year:  2017        PMID: 28679545      PMCID: PMC5586374          DOI: 10.1534/genetics.116.188763

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  21 in total

1.  On the number of segregating sites in genetical models without recombination.

Authors:  G A Watterson
Journal:  Theor Popul Biol       Date:  1975-04       Impact factor: 1.570

2.  Statistical tests for detecting positive selection by utilizing high-frequency variants.

Authors:  Kai Zeng; Yun-Xin Fu; Suhua Shi; Chung-I Wu
Journal:  Genetics       Date:  2006-09-01       Impact factor: 4.562

3.  Second-order moments of segregating sites under variable population size.

Authors:  Daniel Zivković; Thomas Wiehe
Journal:  Genetics       Date:  2008-08-20       Impact factor: 4.562

4.  Frequency spectrum neutrality tests: one for all and all for one.

Authors:  Guillaume Achaz
Journal:  Genetics       Date:  2009-06-22       Impact factor: 4.562

5.  Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

Authors:  F Tajima
Journal:  Genetics       Date:  1989-11       Impact factor: 4.562

6.  Statistical tests of neutrality of mutations.

Authors:  Y X Fu; W H Li
Journal:  Genetics       Date:  1993-03       Impact factor: 4.562

7.  Exploring population size changes using SNP frequency spectra.

Authors:  Xiaoming Liu; Yun-Xin Fu
Journal:  Nat Genet       Date:  2015-04-06       Impact factor: 38.330

8.  A global reference for human genetic variation.

Authors:  Adam Auton; Lisa D Brooks; Richard M Durbin; Erik P Garrison; Hyun Min Kang; Jan O Korbel; Jonathan L Marchini; Shane McCarthy; Gil A McVean; Gonçalo R Abecasis
Journal:  Nature       Date:  2015-10-01       Impact factor: 49.962

9.  Coalescent tree imbalance and a simple test for selective sweeps based on microsatellite variation.

Authors:  Haipeng Li; Thomas Wiehe
Journal:  PLoS Comput Biol       Date:  2013-05-16       Impact factor: 4.475

10.  BEAST 2: a software platform for Bayesian evolutionary analysis.

Authors:  Remco Bouckaert; Joseph Heled; Denise Kühnert; Tim Vaughan; Chieh-Hsi Wu; Dong Xie; Marc A Suchard; Andrew Rambaut; Alexei J Drummond
Journal:  PLoS Comput Biol       Date:  2014-04-10       Impact factor: 4.475

View more
  10 in total

1.  On the joint distribution of tree height and tree length under the coalescent.

Authors:  Ilana M Arbisser; Ethan M Jewett; Noah A Rosenberg
Journal:  Theor Popul Biol       Date:  2017-11-10       Impact factor: 1.570

2.  SEQUENTIAL IMPORTANCE SAMPLING FOR MULTIRESOLUTION KINGMAN-TAJIMA COALESCENT COUNTING.

Authors:  Lorenzo Cappello; Julia A Palacios
Journal:  Ann Appl Stat       Date:  2020-06       Impact factor: 2.083

3.  An efficient algorithm for generating the internal branches of a Kingman coalescent.

Authors:  M Reppell; S Zöllner
Journal:  Theor Popul Biol       Date:  2017-07-11       Impact factor: 1.570

4.  Detecting Recent Positive Selection with a Single Locus Test Bipartitioning the Coalescent Tree.

Authors:  Zongfeng Yang; Junrui Li; Thomas Wiehe; Haipeng Li
Journal:  Genetics       Date:  2017-12-07       Impact factor: 4.562

5.  On asymptotic joint distributions of cherries and pitchforks for random phylogenetic trees.

Authors:  Kwok Pui Choi; Gursharn Kaur; Taoyang Wu
Journal:  J Math Biol       Date:  2021-09-23       Impact factor: 2.259

6.  Robust detection of natural selection using a probabilistic model of tree imbalance.

Authors:  Enes Dilber; Jonathan Terhorst
Journal:  Genetics       Date:  2022-03-03       Impact factor: 4.562

7.  Efficiently Summarizing Relationships in Large Samples: A General Duality Between Statistics of Genealogies and Genomes.

Authors:  Peter Ralph; Kevin Thornton; Jerome Kelleher
Journal:  Genetics       Date:  2020-05-01       Impact factor: 4.562

8.  Distance metrics for ranked evolutionary trees.

Authors:  Jaehee Kim; Noah A Rosenberg; Julia A Palacios
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-02       Impact factor: 11.205

9.  Hospital outbreak of carbapenem-resistant Enterobacterales associated with a blaOXA-48 plasmid carried mostly by Escherichia coli ST399.

Authors:  Alice Ledda; Martina Cummins; Liam P Shaw; Elita Jauneikaite; Kevin Cole; Florent Lasalle; Deborah Barry; Jane Turton; Caryn Rosmarin; Sudy Anaraki; David Wareham; Nicole Stoesser; John Paul; Rohini Manuel; Benny P Cherian; Xavier Didelot
Journal:  Microb Genom       Date:  2022-04

10.  Approximations to the expectations and variances of ratios of tree properties under the coalescent.

Authors:  Egor Lappo; Noah A Rosenberg
Journal:  G3 (Bethesda)       Date:  2022-09-30       Impact factor: 3.542

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.