Distinguishing between Selective Sweeps from Standing Variation and from a De Novo Mutation

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Distinguishing between Selective Sweeps from Standing Variation and from a De Novo Mutation. / Peter, Benjamin M.; Huerta-Sanchez, Emilia; Nielsen, Rasmus.

In: P L o S Genetics (Online), Vol. 8, No. 10, e1003011, 2012, p. 1-14.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Peter, BM, Huerta-Sanchez, E & Nielsen, R 2012, 'Distinguishing between Selective Sweeps from Standing Variation and from a De Novo Mutation', P L o S Genetics (Online), vol. 8, no. 10, e1003011, pp. 1-14. https://doi.org/10.1371/journal.pgen.1003011

APA

Peter, B. M., Huerta-Sanchez, E., & Nielsen, R. (2012). Distinguishing between Selective Sweeps from Standing Variation and from a De Novo Mutation. P L o S Genetics (Online), 8(10), 1-14. [e1003011]. https://doi.org/10.1371/journal.pgen.1003011

Vancouver

Peter BM, Huerta-Sanchez E, Nielsen R. Distinguishing between Selective Sweeps from Standing Variation and from a De Novo Mutation. P L o S Genetics (Online). 2012;8(10):1-14. e1003011. https://doi.org/10.1371/journal.pgen.1003011

Author

Peter, Benjamin M. ; Huerta-Sanchez, Emilia ; Nielsen, Rasmus. / Distinguishing between Selective Sweeps from Standing Variation and from a De Novo Mutation. In: P L o S Genetics (Online). 2012 ; Vol. 8, No. 10. pp. 1-14.

Bibtex

@article{5ba06e06ec1f4db891cdc37fb87d75e8,
title = "Distinguishing between Selective Sweeps from Standing Variation and from a De Novo Mutation",
abstract = "An outstanding question in human genetics has been the degree to which adaptation occurs from standing genetic variation or from de novo mutations. Here, we combine several common statistics used to detect selection in an Approximate Bayesian Computation (ABC) framework, with the goal of discriminating between models of selection and providing estimates of the age of selected alleles and the selection coefficients acting on them. We use simulations to assess the power and accuracy of our method and apply it to seven of the strongest sweeps currently known in humans. We identify two genes, ASPM and PSCA, that are most likely affected by selection on standing variation; and we find three genes, ADH1B, LCT, and EDAR, in which the adaptive alleles seem to have swept from a new mutation. We also confirm evidence of selection for one further gene, TRPV6. In one gene, G6PD, neither neutral models nor models of selective sweeps fit the data, presumably because this locus has been subject to balancing selection.",
author = "Peter, {Benjamin M.} and Emilia Huerta-Sanchez and Rasmus Nielsen",
year = "2012",
doi = "10.1371/journal.pgen.1003011",
language = "English",
volume = "8",
pages = "1--14",
journal = "P L o S Genetics",
issn = "1553-7390",
publisher = "Public Library of Science",
number = "10",

}

RIS

TY - JOUR

T1 - Distinguishing between Selective Sweeps from Standing Variation and from a De Novo Mutation

AU - Peter, Benjamin M.

AU - Huerta-Sanchez, Emilia

AU - Nielsen, Rasmus

PY - 2012

Y1 - 2012

N2 - An outstanding question in human genetics has been the degree to which adaptation occurs from standing genetic variation or from de novo mutations. Here, we combine several common statistics used to detect selection in an Approximate Bayesian Computation (ABC) framework, with the goal of discriminating between models of selection and providing estimates of the age of selected alleles and the selection coefficients acting on them. We use simulations to assess the power and accuracy of our method and apply it to seven of the strongest sweeps currently known in humans. We identify two genes, ASPM and PSCA, that are most likely affected by selection on standing variation; and we find three genes, ADH1B, LCT, and EDAR, in which the adaptive alleles seem to have swept from a new mutation. We also confirm evidence of selection for one further gene, TRPV6. In one gene, G6PD, neither neutral models nor models of selective sweeps fit the data, presumably because this locus has been subject to balancing selection.

AB - An outstanding question in human genetics has been the degree to which adaptation occurs from standing genetic variation or from de novo mutations. Here, we combine several common statistics used to detect selection in an Approximate Bayesian Computation (ABC) framework, with the goal of discriminating between models of selection and providing estimates of the age of selected alleles and the selection coefficients acting on them. We use simulations to assess the power and accuracy of our method and apply it to seven of the strongest sweeps currently known in humans. We identify two genes, ASPM and PSCA, that are most likely affected by selection on standing variation; and we find three genes, ADH1B, LCT, and EDAR, in which the adaptive alleles seem to have swept from a new mutation. We also confirm evidence of selection for one further gene, TRPV6. In one gene, G6PD, neither neutral models nor models of selective sweeps fit the data, presumably because this locus has been subject to balancing selection.

U2 - 10.1371/journal.pgen.1003011

DO - 10.1371/journal.pgen.1003011

M3 - Journal article

C2 - 23071458

VL - 8

SP - 1

EP - 14

JO - P L o S Genetics

JF - P L o S Genetics

SN - 1553-7390

IS - 10

M1 - e1003011

ER -

ID: 49695185