No abstract

The NRG1 gene contributes to the susceptibility for schizophrenia in the northern Swedish population.

The accessibility of genome-wide screening technologies considerably facilitated the identification and characterization of copy number variations (CNVs). The increasing amount of available data describing these variants, clearly demonstrates their abundance in the human genome. This observation shows that not only SNPs, but also CNVs and other structural variants strongly contribute to genetic variation. Even though not all structural variants have an obvious phenotypic effect, there is evidence that CNVs influence gene dosage and hence can have profound effects on human disease susceptibility, disease manifestation, and disease severity. Therefore, CNV screening and analysis methodologies, specifically focusing on disease-related CNVs are actively progressing. This chapter specifically describes different techniques currently available for the targeted screening and validation of CNVs. We not only provide an overview of all these CNV analysis methods, but also address their strong and weak points. Methods covered include fluorescence in situ hybridization (FISH), quantitative real-time PCR (qPCR), paralogue ratio test (PRT), molecular copy-number counting (MCC), and multiplex PCR-based approaches, such as multiplex amplifiable probe hybridization (MAPH), multiplex ligation-dependent probe amplification (MLPA), multiplex PCR-based real-time invader assay (mPCR-RETINA), quantitative multiplex PCR of short fluorescent fragments (QMPSF), and multiplex amplicon quantification (MAQ). We end with some general remarks and conclusions, furthermore briefly addressing the future perspectives.

This study contributes to the growing evidence for a role of the glucocorticoid receptor gene (NR3C1) in vulnerability to mood disorders, and BPD in particular, and warrants further in vitro investigation of the at-risk haplotypes with respect to disease etiology. However, this association might be restricted to this specific population, as it is observed in a rather small sample from an isolated population without replication, and data from large meta-analyses for genome-wide association studies in BPD do not show the GR as a very strong candidate.