Skip to main content

Analysis of and Risk Variants on Cardiac Autonomic Function in Patients with Schizophrenia.

Genes

Authors: Alexander Refisch, Shoko Komatsuzaki, Martin Ungelenk, Andy Schumann, Ha-Yeun Chung, Susann S Schilling, Wibke Jantzen, Sabine Schröder, Markus M Nöthen, Thomas W Mühleisen, Christian A Hübner, Karl-Jürgen Bär

BACKGROUND: Cardiac autonomic dysfunction (CADF) is a major contributor to increased cardiac mortality in schizophrenia patients. The aberrant function of voltage-gated ion channels, which are widely distributed in the brain and heart, may link schizophrenia and CADF. In search of channel-encoding genes that are associated with both CADF and schizophrenia, and are promising candidates. In this study, we tested for associations between genetic findings in both genes and CADF parameters in schizophrenia patients whose heart functions were not influenced by psychopharmaceuticals.

METHODS: First, we searched the literature for single-nucleotide polymorphisms (SNPs) in and that showed genome-wide significant association with schizophrenia. Subsequently, we looked for such robust associations with CADF traits at these loci. A total of 5 SNPs and 9 SNPs were found and genotyped in 77 unmedicated schizophrenia patients and 144 healthy controls. Genotype-related impacts on heart rate (HR) dynamics and QT variability indices (QTvi) were analyzed separately in patients and healthy controls.

RESULTS: We observed significantly increased QTvi in unmedicated patients with CADF-associated risk in rs2283274 C and schizophrenia-associated risk in rs2239061 G compared to the non-risk allele in these patients. Moreover, unmedicated patients with previously identified schizophrenia risk alleles in rs11763131 A, rs3807373 A, rs3800779 C, rs748693 G, and 1036145 T showed increased mean HR and QTvi as compared to non-risk alleles.

CONCLUSIONS: We propose a potential pleiotropic role for common variation in and associated with CADF in schizophrenia patients, independent of antipsychotic medication, that predisposes them to cardiac arrhythmias and premature death.

PMID: 36421807

Participating cluster members