Neuroimaging Research Group
University Medical Center Utrecht
Heidelberglaan 100
3584 CX Utrecht
the Netherlands
Room: A.00.3.31
Tel.: +31 (0)88 7556034
Fax.: +31 (0)88 7555466
E-mail: e.m.derks@umcutrecht.nl
Schizophrenia is a highly heterogeneous disorder with a lifetime prevalence of 0.7%, and a heritability of 81%. Genome Wide Association (GWA) studies have the goal of unravelling the genetics of this complex disorder. However, the enormous investments that are made on the genotypic level (i.e. genotyping ~500,000 SNPs) are not matched by similar investments on the phenotypic level. As it is generally acknowledged that schizophrenia is a heterogeneous disorder and that symptom profiles vary between patients, it is likely that different clusters of symptoms are (partly) influenced by different genes. Collapsing patients with different genetic vulnerabilities into one single group may dramatically decrease the statistical power to detect a gene.
The main goal of my research is to improve the assessment of individual differences in schizophrenia, and to incorporate these improved phenotypic asssessments in subsequent GWA analyses. Based on latent class factor analyses (LCFA), we will identify factors that explain (co)variation in schizophrenia symptoms. The main advantage of this approach is the identification of unidimensional factors which will be more directly linked to genetic effects. The GWA study will be performed in a Dutch sample of 864 patients and 831 controls, and significant associations will be replicated in a sample of 1440 patients and 1469 controls.