title: [Molecular unraveling of disease by means of DNA-microarrays].
abstract: Determination of the human genome sequence and the development of microarray technologies allowing the rapid measurement of all genes in the genome have generated new perspectives for our current biomedical research. Gene expression analysis will make a major contribution to our insight into the underlying biology of disease and will lead to improved methods for diagnostics, prognosis and treatment. Microarray studies create the possiblity to subclassify patients with diseases such as rheumatoid arthritis, diffuse large B-cell lymphoma and breast cancer, with both prognostic and therapeutic consequences. The simultaneous quantification of the activity of all genes in tissues or cells from patients by microarray technology, linked to the clinical parameters, creates a large number of data points, which cannot be analysed without the aid of the advanced application of bioinformatics. As a result, genomic research has become, in part, a bioinformatics discipline that will be integrated with clinical medicine. The microarray technology makes it possible to develop personalized medicine, with a more accurate diagnosis and prognosis for every patient and subsequently a tailored treatment strategy.
authors.affiliation: VU Medisch Centrum, afd. Moleculaire Celbiologie en Immunologie, Postbus 7057, 1007 MB Amsterdam. t.vanderpouwkraan@vumc.nl
authors.forename: C T M
authors.initials: CT
authors.lastname: van der Pouw Kraan
authors.forename: C D
authors.initials: CD
authors.lastname: Dijkstra
authors.forename: C L
authors.initials: CL
authors.lastname: Verweij
mesh_terms: D001172:Arthritis, Rheumatoid / Q000145:classification / Q000175:diagnosis / Q000235:genetics; D001943:Breast Neoplasms / Q000175:diagnosis / Q000235:genetics; D020732:Cytogenetic Analysis; D020869:Gene Expression Profiling; D015894:Genome, Human; D006801:Humans; D008223:Lymphoma / Q000145:classification / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis; D011379:Prognosis; D040901:Proteomics