Literature DB >> 19174838

Repeatability of published microarray gene expression analyses.

John P A Ioannidis1, David B Allison, Catherine A Ball, Issa Coulibaly, Xiangqin Cui, Aedín C Culhane, Mario Falchi, Cesare Furlanello, Laurence Game, Giuseppe Jurman, Jon Mangion, Tapan Mehta, Michael Nitzberg, Grier P Page, Enrico Petretto, Vera van Noort.   

Abstract

Given the complexity of microarray-based gene expression studies, guidelines encourage transparent design and public data availability. Several journals require public data deposition and several public databases exist. However, not all data are publicly available, and even when available, it is unknown whether the published results are reproducible by independent scientists. Here we evaluated the replication of data analyses in 18 articles on microarray-based gene expression profiling published in Nature Genetics in 2005-2006. One table or figure from each article was independently evaluated by two teams of analysts. We reproduced two analyses in principle and six partially or with some discrepancies; ten could not be reproduced. The main reason for failure to reproduce was data unavailability, and discrepancies were mostly due to incomplete data annotation or specification of data processing and analysis. Repeatability of published microarray studies is apparently limited. More strict publication rules enforcing public data availability and explicit description of data processing and analysis should be considered.

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Year:  2008        PMID: 19174838     DOI: 10.1038/ng.295

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  40 in total

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Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

2.  Natural variation in cardiac metabolism and gene expression in Fundulus heteroclitus.

Authors:  Marjorie F Oleksiak; Jennifer L Roach; Douglas L Crawford
Journal:  Nat Genet       Date:  2004-11-28       Impact factor: 38.330

3.  Genome-scale profiling of histone H3.3 replacement patterns.

Authors:  Yoshiko Mito; Jorja G Henikoff; Steven Henikoff
Journal:  Nat Genet       Date:  2005-09-11       Impact factor: 38.330

4.  Integrating genotypic and expression data in a segregating mouse population to identify 5-lipoxygenase as a susceptibility gene for obesity and bone traits.

Authors:  Margarete Mehrabian; Hooman Allayee; Jirina Stockton; Pek Yee Lum; Thomas A Drake; Lawrence W Castellani; Michael Suh; Christopher Armour; Stephen Edwards; John Lamb; Aldons J Lusis; Eric E Schadt
Journal:  Nat Genet       Date:  2005-10-02       Impact factor: 38.330

Review 5.  Microarray data analysis: from disarray to consolidation and consensus.

Authors:  David B Allison; Xiangqin Cui; Grier P Page; Mahyar Sabripour
Journal:  Nat Rev Genet       Date:  2006-01       Impact factor: 53.242

6.  An integrative genomics approach to infer causal associations between gene expression and disease.

Authors:  Eric E Schadt; John Lamb; Xia Yang; Jun Zhu; Steve Edwards; Debraj Guhathakurta; Solveig K Sieberts; Stephanie Monks; Marc Reitman; Chunsheng Zhang; Pek Yee Lum; Amy Leonardson; Rolf Thieringer; Joseph M Metzger; Liming Yang; John Castle; Haoyuan Zhu; Shera F Kash; Thomas A Drake; Alan Sachs; Aldons J Lusis
Journal:  Nat Genet       Date:  2005-06-19       Impact factor: 38.330

7.  Nova regulates brain-specific splicing to shape the synapse.

Authors:  Jernej Ule; Aljaz Ule; Joanna Spencer; Alan Williams; Jing-Shan Hu; Melissa Cline; Hui Wang; Tyson Clark; Claire Fraser; Matteo Ruggiu; Barry R Zeeberg; David Kane; John N Weinstein; John Blume; Robert B Darnell
Journal:  Nat Genet       Date:  2005-07-24       Impact factor: 38.330

8.  Genome-wide analysis of estrogen receptor binding sites.

Authors:  Jason S Carroll; Clifford A Meyer; Jun Song; Wei Li; Timothy R Geistlinger; Jérôme Eeckhoute; Alexander S Brodsky; Erika Krasnickas Keeton; Kirsten C Fertuck; Giles F Hall; Qianben Wang; Stefan Bekiranov; Victor Sementchenko; Edward A Fox; Pamela A Silver; Thomas R Gingeras; X Shirley Liu; Myles Brown
Journal:  Nat Genet       Date:  2006-10-01       Impact factor: 38.330

9.  Selective discussion and transparency in microarray research findings for cancer outcomes.

Authors:  John P A Ioannidis; Nikolaos P Polyzos; Thomas A Trikalinos
Journal:  Eur J Cancer       Date:  2007-07-12       Impact factor: 9.162

10.  Characterization of the Drosophila melanogaster genome at the nuclear lamina.

Authors:  Helen Pickersgill; Bernike Kalverda; Elzo de Wit; Wendy Talhout; Maarten Fornerod; Bas van Steensel
Journal:  Nat Genet       Date:  2006-07-30       Impact factor: 38.330

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  201 in total

1.  Improving validation practices in "omics" research.

Authors:  John P A Ioannidis; Muin J Khoury
Journal:  Science       Date:  2011-12-02       Impact factor: 47.728

2.  Synovial inflammation in patients undergoing arthroscopic meniscectomy: molecular characterization and relationship to symptoms.

Authors:  Carla R Scanzello; Brian McKeon; Bryan H Swaim; Edward DiCarlo; Eva U Asomugha; Veero Kanda; Anjali Nair; David M Lee; John C Richmond; Jeffrey N Katz; Mary K Crow; Steven R Goldring
Journal:  Arthritis Rheum       Date:  2011-02

3.  Reproducible research in computational science.

Authors:  Roger D Peng
Journal:  Science       Date:  2011-12-02       Impact factor: 47.728

4.  GeneProf: analysis of high-throughput sequencing experiments.

Authors:  Florian Halbritter; Harsh J Vaidya; Simon R Tomlinson
Journal:  Nat Methods       Date:  2011-12-28       Impact factor: 28.547

5.  A formal mathematical framework for physiological observations, experiments and analyses.

Authors:  Thomas A Nielsen; Henrik Nilsson; Tom Matheson
Journal:  J R Soc Interface       Date:  2011-10-05       Impact factor: 4.118

6.  Disclose all data in publications.

Authors:  Keith Baggerly
Journal:  Nature       Date:  2010-09-23       Impact factor: 49.962

7.  Reproducible science.

Authors:  Arturo Casadevall; Ferric C Fang
Journal:  Infect Immun       Date:  2010-09-27       Impact factor: 3.441

8.  Clarifying the terminology that describes scientific reproducibility.

Authors:  Ron S Kenett; Galit Shmueli
Journal:  Nat Methods       Date:  2015-08       Impact factor: 28.547

Review 9.  Epileptogenesis.

Authors:  Asla Pitkänen; Katarzyna Lukasiuk; F Edward Dudek; Kevin J Staley
Journal:  Cold Spring Harb Perspect Med       Date:  2015-09-18       Impact factor: 6.915

10.  Assessing the validity and reproducibility of genome-scale predictions.

Authors:  Lauren A Sugden; Michael R Tackett; Yiannis A Savva; William A Thompson; Charles E Lawrence
Journal:  Bioinformatics       Date:  2013-09-17       Impact factor: 6.937

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