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hdl:10101/npre.2007.306.2
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The Reproducibility of Lists of Differentially Expressed Genes in Microarray Studies

Leming D. Shi1, Wendell D. Jones2, Roderick V. Jensen3, Stephen C. Harris1, Roger G. Perkins4, Federico M. Goodsaid5, Lei Guo1, Lisa J. Croner6, Cecilie Boysen7, Hong Fang4, Shashi Amur5, Wenjun Bao8, Catalin C. Barbacioru9, Vincent Bertholet10, Xiaoxi Megan Cao4, Tzu-Ming Chu8, Patrick J. Collins11, Xiao-hui Fan1, Felix W. Frueh5, James C. Fuscoe1, Xu Guo12, Jing Han13, Damir Herman14, Huixiao Hong4, Ernest S. Kawasaki15, Quan-Zhen Li16, Yuling Luo17, Yunqing Ma17, Nan Mei1, Ron L. Peterson18, Raj K. Puri13, Feng Qian4, Richard Shippy12, Zhenqiang Su1, Yongming Andrew Sun9, Hongmei Sun4, Brett Thorn1, Yaron Turpaz12, Charles Wang19, Sue-Jane Wang5, Janet A. Warrington12, James C. Willey20, Jie Wu4, Qian Xie4, Liang Zhang21, Lu Zhang22, Sheng Zhong23, Russell D. Wolfinger8, & Weida Tong1

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  1. US FDA, National Center for Toxicological Research
  2. Expression Analysis Inc.
  3. Virginia Bioinformatics Institute
  4. Z-Tech at FDA/NCTR
  5. US FDA, Center for Drug Evaluation and Research
  6. Biogen Idec
  7. ViaLogy Inc.
  8. SAS Institute Inc.
  9. Applied Biosystems
  10. Eppendorf Array Technologies
  11. Agilent Technologies Inc.
  12. Affymetrix Inc.
  13. US FDA, Center for Biologics Evaluation and Research
  14. University of Arkansas for Medical Sciences
  15. US NIH, National Cancer Institute
  16. University Texas Southwestern Medical Center
  17. Panomics Inc.
  18. Novartis
  19. UCLA Cedars-Sinai Medical Center
  20. University of Toledo
  21. CapitalBio Corporation
  22. Solexa Inc.
  23. University of Illinois at Urbana-Champaign
Document Type:
Manuscript
Date:
Received 02 July 2007 15:49 UTC; Posted 03 July 2007
Subjects:
Biotechnology, Bioinformatics
Tags:
Abstract:

Reproducibility is a fundamental requirement in scientific experiments and clinical contexts. Recent publications raise concerns about the reliability of microarray technology because of the apparent lack of agreement between lists of differentially expressed genes (DEGs). In this study we demonstrate that (1) such discordance may stem from ranking and selecting DEGs solely by statistical significance (P) derived from widely used simple t-tests; (2) when fold change (FC) is used as the ranking criterion, the lists become much more reproducible, especially when fewer genes are selected; and (3) the instability of short DEG lists based on P cutoffs is an expected mathematical consequence of the high variability of the t-values. We recommend the use of FC ranking plus a non-stringent P cutoff as a baseline practice in order to generate more reproducible DEG lists. The FC criterion enhances reproducibility while the P criterion balances sensitivity and specificity.

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This document is licensed to the public under the Creative Commons Attribution 2.5 License
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Shi, Leming, Jones, Wendell, Jensen, Roderick, Harris, Stephen, Perkins, Roger, Goodsaid, Federico, Guo, Lei, Croner, Lisa, Boysen, Cecilie, Fang, Hong, Amur, Shashi, Bao, Wenjun, Barbacioru, Catalin, Bertholet, Vincent, Cao, Xiaoxi Megan, Chu, Tzu-Ming, Collins, Patrick, Fan, Xiao-hui, Frueh, Felix, Fuscoe, James, Guo, Xu, Han, Jing, Herman, Damir, Hong, Huixiao, Kawasaki, Ernest, Li, Quan-Zhen, Luo, Yuling, Ma, Yunqing, Mei, Nan, Peterson, Ron, Puri, Raj, Qian, Feng, Shippy, Richard, Su, Zhenqiang, Sun, Yongming Andrew, Sun, Hongmei, Thorn, Brett, Turpaz, Yaron, Wang, Charles, Wang, Sue-Jane, Warrington, Janet, Willey, James, Wu, Jie, Xie, Qian, Zhang, Liang, Zhang, Lu, Zhong, Sheng, Wolfinger, Russell, and Tong, Weida. The Reproducibility of Lists of Differentially Expressed Genes in Microarray Studies. Available from Nature Precedings <http://hdl.handle.net/10101/npre.2007.306.2> (2007)

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v1 Posted 02 July 2007

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