Inconsistency in large pharmacogenomic studies

Benjamin Haibe-Kains; Nehme El-Hachem; Nicolai Juul Birkbak; Andrew C. Jin; Andrew H. Beck; Hugo J. W. L. Aerts; John Quackenbush

doi:10.1038/nature12831

Inconsistency in large pharmacogenomic studies

Benjamin Haibe-Kains^*, Nehme El-Hachem, Nicolai Juul Birkbak, Andrew C. Jin, Andrew H. Beck, Hugo J. W. L. Aerts, John Quackenbush

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Two large-scale pharmacogenomic studies were published recently in this journal. Genomic data are well correlated between studies; however, the measured drug response data are highly discordant. Although the source of inconsistencies remains uncertain, it has potential implications for using these outcome measures to assess gene-drug associations or select potential anticancer drugs on the basis of their reported results.

Original language	English
Pages (from-to)	389–393
Journal	Nature
Volume	504
Issue number	7480
DOIs	https://doi.org/10.1038/nature12831
Publication status	Published - 19 Dec 2013

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10.1038/nature12831

Cite this

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title = "Inconsistency in large pharmacogenomic studies",

abstract = "Two large-scale pharmacogenomic studies were published recently in this journal. Genomic data are well correlated between studies; however, the measured drug response data are highly discordant. Although the source of inconsistencies remains uncertain, it has potential implications for using these outcome measures to assess gene-drug associations or select potential anticancer drugs on the basis of their reported results.",

author = "Benjamin Haibe-Kains and Nehme El-Hachem and Birkbak, {Nicolai Juul} and Jin, {Andrew C.} and Beck, {Andrew H.} and Aerts, {Hugo J. W. L.} and John Quackenbush",

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AU - Jin, Andrew C.

AU - Beck, Andrew H.

AU - Aerts, Hugo J. W. L.

AU - Quackenbush, John

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AB - Two large-scale pharmacogenomic studies were published recently in this journal. Genomic data are well correlated between studies; however, the measured drug response data are highly discordant. Although the source of inconsistencies remains uncertain, it has potential implications for using these outcome measures to assess gene-drug associations or select potential anticancer drugs on the basis of their reported results.

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