Combining microarrays and genetic analysis.
Gene expression can be studied at a genome-wide scale with the aid of modern microarray technologies. Expression profiling of tens to hundreds of individuals in a genetic population can reveal the consequences of genetic variation. In this paper it is argued that the design and analysis of such a study is not a matter of simply applying the existing and more-or-less standard computational tools for microarrays to a new type of experimental data. It is shown how to fully exploit the power of genetics through optimal experimental design and analysis for two major microarray technologies, cDNA two-colour arrays and Affymetrix short oligonucleotide arrays.
Alberts
Rudi
R
Groningen Bioinformatics Centre, University of Groningen, Kerklaan 30, 9751 NN, Haren, the Netherlands.
Fu
Jingyuan
J
Swertz
Morris A
MA
Lubbers
L Alrik
LA
Albers
Casper J
CJ
Jansen
Ritsert C
RC
D002874:Chromosome Mapping / Q000379:methods*; D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000379:methods*; D023281:Genomics / Q000379:methods*; D008957:Models, Genetic; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D040641:Quantitative Trait Loci / Q000235:genetics*