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WFABC: a Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled data

View ORCID ProfileMatthieu Foll, View ORCID ProfileHyunjin Shim, View ORCID ProfileJeffrey D. Jensen
doi: https://doi.org/10.1101/009696
Matthieu Foll
1School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
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  • For correspondence: matthieu.foll@epfl.ch
Hyunjin Shim
1School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
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Jeffrey D. Jensen
1School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
2Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
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Abstract

With novel developments in sequencing technologies, time-sampled data are becoming more available and accessible. Naturally, there have been efforts in parallel to infer population genetic parameters from these datasets. Here, we compare and analyze four recent approaches based on the Wright-Fisher model for inferring selection coefficients (s) given effective population size (Ne), with simulated temporal datasets. Furthermore, we demonstrate the advantage of a recently proposed ABC-based method that is able to correctly infer genome-wide average Ne from time-serial data, which is then set as a prior for inferring per-site selection coefficients accurately and precisely. We implement this ABC method in a new software and apply it to a classical time-serial dataset of the medionigra genotype in the moth Panaxia dominula. We show that a recessive lethal model is the best explanation for the observed variation in allele frequency by implementing an estimator of the dominance ratio (h).

Footnotes

  • Address for all co-authors: EPFL SV IBI-SV UPJENSEN, AAB 0 43 (Bâtiment AAB), Station 15, CH-1015 Lausanne, SWITZERLAND

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 26, 2014.
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WFABC: a Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled data
Matthieu Foll, Hyunjin Shim, Jeffrey D. Jensen
bioRxiv 009696; doi: https://doi.org/10.1101/009696
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WFABC: a Wright-Fisher ABC-based approach for inferring effective population sizes and selection coefficients from time-sampled data
Matthieu Foll, Hyunjin Shim, Jeffrey D. Jensen
bioRxiv 009696; doi: https://doi.org/10.1101/009696

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