Analysis of shared heritability in common disorders of the brain

Paroxysmal Cerebral Disorder

The tetramerization domain of p53 is required for efficient BAK oligomerization

In addition to a well-defined transcriptional activity that is necessary for efficient apoptosis induction, the p53 tumor suppressor also has a direct apoptogenic role at the mitochondria. This direct role in cell death is mediated at least in part by interaction of p53 with BCL2 family members, including the pro-apoptotic protein BAK. Whereas it is currently accepted that the mitochondrial function of p53 contributes to its tumor suppressive role, the regulation of p53 function at this organelle is poorly understood. In this manuscript we examine the role of p53 oligomerization in the regulation of its pro-apoptotic function at the mitochondria, specifically in regard to its ability to induce BAK oligomerization. We find that deletion or mutation of p53's oligomerization domain markedly impairs the ability of this protein to oligomerize BAK. Along these lines, cross-linking studies indicate that the majority of p53 localized to mitochondria is in dimeric or higher-order oligomeric form. In support of the importance of the p53-BAK interaction in the localization of p53 to mitochondria, we find that mouse embryo fibroblasts from the BAK null mouse have greatly reduced mitochondrial p53 compared to wild type fibroblasts. These data indicate that pro-apoptotic BAK, unlike other BCL2 family members, may serve as a major receptor for p53 on the mitochondria. ©2007 Landes Bioscience.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Analysis of shared heritability in common disorders of the brain

Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology. © 2018 American Association for the Advancement of Science. All rights reserved