Analysis of genetic diversity in patients with major psychiatric disorders versus healthy controls: A molecular-genetic study of 1698 subjects genotyped for 100 candidate genes (549 SNPs).

Background: This study analyzed the extent to which irregularities in genetic diversity separate psychiatric patients from healthy controls.

Methods: Genetic diversity was quantified through multidimensional "gene vectors" assembled from 4 to 8 polymorphic SNPs located within each of 100 candidate genes. The number of different genotypic patterns observed per gene was called the gene's "diversity index".

Predicting response to psychopharmacological treatment: survey of recent results.

Introduction: Treatment with antidepressants and antipsychotics, though effective, is unspecific as agents that differ greatly in their biochemical and pharmacological actions have virtually the same efficacy. Half of the patients with initial improvement show incomplete response, while a large proportion of patients exhibit a refractory clinical picture which is resistant to all treatment modalities.

Methods: Our analyses were based on a reference study of 2,848 depressive inpatients under monotherapeutic treatment with 7 different antidepressants or placebo, along with a naturalistic study of depressive and schizophrenic patients (296 inpatients, 363 outpatients) under today's "standard" polypharmaceutic treatment regimens.

The difficulties of reproducing conventionally derived results through 500k-chip technology.

Based on a "training" sample of 1,042 subjects genotyped for 5,728 single-nucleotide polymorphisms (SNPs) of a conventional 0.4-Mb genome scan and a "test" sample of 746 subjects genotyped for 545,080 SNPs on a 500k-chip, we investigated the extent to which the subjects' immunoglobulin M levels can be reproducibly predicted from a multilocus genotype. We were specifically interested in the reproducibility of predictors across populations (1,042 versus 746 subjects) and across SNP sets (conventional genome scan versus anonymous 500k-chip) because this is a prerequisite for clinical application.

Modeling activation of inflammatory response system: a molecular-genetic neural network analysis.

Significant alterations of T-cell function, along with activation of the inflammatory response system, appear to be linked not only to treatment-resistant schizophrenia, but also to functional psychoses and mood disorders. Because there is a relatively high comorbidity between rheumatoid arthritis (RA), schizophrenia and major depression, the question arises whether there is a common, genetically modulated inflammatory process involved in these disorders. On the basis of three family studies from the U.