Open Access
Genet. Sel. Evol.
Volume 39, Number 6, November-December 2007
Page(s) 621 - 631
Published online 06 December 2007
Genet. Sel. Evol. 39 (2007) 621-631
DOI: 10.1051/gse:2007028

The EADGENE Microarray Data Analysis Workshop (Open Access publication)

Dirk-Jan de Koninga, Florence Jaffrézicb, Mogens Sandø Lundc, Michael Watsond, Caroline Channinga, Ina Hulseggee, Marco H. Poole, Bart Buitenhuisc, Jakob Hedegaardc, Henrik Hornshøjc, Li Jiangc, Peter Sørensenc, Guillemette Marotb, Céline Delmasf, Kim-Anh Lê Caof, g, Magali San Cristobalf, Michael D. Baronh, Roberto Malinvernii, Alessandra Stellai, Ronald M. Brunnerj, Hans-Martin Seyfertj, Kirsty Jensena, Daphne Mouzakia, David Waddingtona, Ángeles Jiménez-Marínk, Mónica Pérez-Alegrek, Eva Pérez-Reinadok, Rodrigue Clossetl, Johanne C. Detilleuxl, Peter Dovcm, Miha Lavricm, Haisheng Nien and Luc Janssc

a  Roslin Institute, Roslin, UK
b  INRA, UR337, Jouy-en-Josas, France
c  University of Aarhus, Tjele, Denmark
d  Institute for Animal Health, Compton, UK
e  Animal Sciences Group Wageningen UR, Lelystad, The Netherlands
f  INRA, UMR444, Castanet-Tolosan, France
g  Université Paul Sabatier, Toulouse, France
h  Institute for Animal Health, Pirbright, UK
i  Parco Tecnologico Padano (PTP), Lodi, Italy
j  Research Institute for the Biology of Farm Animals, Dummerstorf, Germany
k  University of Córdoba, Córdoba, Spain
l  University of Liege, Liege, Belgium
m  University of Ljubljana, Ljubljana, Slovenia
n  Wageningen University and Research Centre, Wageningen, The Netherlands

(Received 10 May 2007; accepted 3 July 2007; published online 6 December 2007)

Abstract - Microarray analyses have become an important tool in animal genomics. While their use is becoming widespread, there is still a lot of ongoing research regarding the analysis of microarray data. In the context of a European Network of Excellence, 31 researchers representing 14 research groups from 10 countries performed and discussed the statistical analyses of real and simulated 2-colour microarray data that were distributed among participants. The real data consisted of 48 microarrays from a disease challenge experiment in dairy cattle, while the simulated data consisted of 10 microarrays from a direct comparison of two treatments (dye-balanced). While there was broader agreement with regards to methods of microarray normalisation and significance testing, there were major differences with regards to quality control. The quality control approaches varied from none, through using statistical weights, to omitting a large number of spots or omitting entire slides. Surprisingly, these very different approaches gave quite similar results when applied to the simulated data, although not all participating groups analysed both real and simulated data. The workshop was very successful in facilitating interaction between scientists with a diverse background but a common interest in microarray analyses.

Key words: gene expression / two colour microarray / statistical analysis

Correspondence and reprints:

© INRA, EDP Sciences 2007