Graphic summary of the study design. In this study, we evaluate four hypotheses: (i) Age-parsed networks in neurotypical brains explain more SCZ genetic risk than the same data not age-parsed. (ii) The course of SCZ enrichment differs between NCs and patients with SCZ. (iii) There is a molecular environment to SCZ risk that can be identified by consensus between networks in terms of genes coexpressed with SCZ risk genes. (iv) The consensus genetic environment surrounding SCZ risk genes can be reproduced in vitro to perform cell system studies of coexpression networks relevant to SCZ. CN, caudate nucleus; HP, hippocampus; MAGMA, multimarker analysis of genomic annotation; SCZ, schizophrenia. The figure was created with BioRender.com and Inkscape. Credit: Science Advances (2023). DOI: 10.1126/sciadv.ade2812
Johns Hopkins researchers, along with colleagues in Italy, have published a study in Science Advances that looks into the genetic mechanisms behind the development of schizophrenia.
Read more here: https://medicalxpress.com/news/2023-04-age-brain-regiondependent-schizophrenia-genes.html
