Comment on "Evidence for positive epistasis in HIV-1".

Kai Wang; John E. Mittler; Ram Samudrala

doi:10.1126/science.1109904

Comment on "Evidence for positive epistasis in HIV-1".

Kai Wang
, John E. Mittler
, Ram Samudrala

Department of Biomedical Informatics

University of Washington

Research output: Contribution to journal › Comment/debate

8 Scopus citations

Abstract

Bonhoeffer et al. (Reports, 26 November 2004, p. 1547) presented evidence for positive epistasis in a clinical data set of HIV-1 mutants and corresponding fitness values. We demonstrate that biases in the original and simulated data sets may lead to erroneous evidence for epistasis. More rigorous statistical tests must be used to account for such biases before one can infer epistasis.

Original language	English
Pages (from-to)	848; author reply 848
Journal	Science
Volume	312
Issue number	5775
DOIs	https://doi.org/10.1126/science.1109904
State	Published - May 12 2006

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title = "Comment on {"}Evidence for positive epistasis in HIV-1{"}.",

abstract = "Bonhoeffer et al. (Reports, 26 November 2004, p. 1547) presented evidence for positive epistasis in a clinical data set of HIV-1 mutants and corresponding fitness values. We demonstrate that biases in the original and simulated data sets may lead to erroneous evidence for epistasis. More rigorous statistical tests must be used to account for such biases before one can infer epistasis.",

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AU - Samudrala, Ram

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N2 - Bonhoeffer et al. (Reports, 26 November 2004, p. 1547) presented evidence for positive epistasis in a clinical data set of HIV-1 mutants and corresponding fitness values. We demonstrate that biases in the original and simulated data sets may lead to erroneous evidence for epistasis. More rigorous statistical tests must be used to account for such biases before one can infer epistasis.

AB - Bonhoeffer et al. (Reports, 26 November 2004, p. 1547) presented evidence for positive epistasis in a clinical data set of HIV-1 mutants and corresponding fitness values. We demonstrate that biases in the original and simulated data sets may lead to erroneous evidence for epistasis. More rigorous statistical tests must be used to account for such biases before one can infer epistasis.

UR - https://www.scopus.com/pages/publications/33646829643

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DO - 10.1126/science.1109904

M3 - Comment/debate

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VL - 312

SP - 848; author reply 848

JO - Science

JF - Science

IS - 5775

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Comment on "Evidence for positive epistasis in HIV-1".

Abstract

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