EU-NATO relations:Running on the fumes of informed deconfliction

This article provides the framework for the contributions to this special issue. It first puts the theme into context and outlines the main issues that justify further analytical engagement with European Union (EU)–North Atlantic Treaty Organization (NATO) relations to the extent we propose here. We then provide some historical background to frame the discussion, and in doing so also outline the current state of interaction between the EU and NATO. We then briefly contextualise the changing strategic environment shaping the relationship, including recent proposals to implement their declared “strategic partnership”. This introduction then presents an overview of the existing literature to set the stage for a renewed look at the research agenda that has emerged over the last two decades. We close with an outline of the individual contributions to this special issue, which are presented in two sections: one focusing on theoretical and conceptual approaches to the study of EU of EU–NATO relations, and one on the inter-organisational relationship in practice, followed by a concluding synopsis and outlook

Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network

Using the Cap Analysis of Gene Expression (CAGE) technology, the FANTOM5 consortium provided one of the most comprehensive maps of transcription start sites (TSSs) in several species. Strikingly, ~72% of them could not be assigned to a specific gene and initiate at unconventional regions, outside promoters or enhancers. Here, we probe these unassigned TSSs and show that, in all species studied, a significant fraction of CAGE peaks initiate at microsatellites, also called short tandem repeats (STRs). To confirm this transcription, we develop Cap Trap RNA-seq, a technology which combines cap trapping and long read MinION sequencing. We train sequence-based deep learning models able to predict CAGE signal at STRs with high accuracy. These models unveil the importance of STR surrounding sequences not only to distinguish STR classes, but also to predict the level of transcription initiation. Importantly, genetic variants linked to human diseases are preferentially found at STRs with high transcription initiation level, supporting the biological and clinical relevance of transcription initiation at STRs. Together, our results extend the repertoire of non-coding transcription associated with DNA tandem repeats and complexify STR polymorphism

Genetic models of homosexuality: generating testable predictions

Homosexuality is a common occurrence in humans and other species, yet its genetic and evolutionary basis is poorly understood. Here, we formulate and study a series of simple mathematical models for the purpose of predicting empirical patterns that can be used to determine the form of selection that leads to polymorphism of genes influencing homosexuality. Specifically, we develop theory to make contrasting predictions about the genetic characteristics of genes influencing homosexuality including: (i) chromosomal location, (ii) dominance among segregating alleles and (iii) effect sizes that distinguish between the two major models for their polymorphism: the overdominance and sexual antagonism models. We conclude that the measurement of the genetic characteristics of quantitative trait loci (QTLs) found in genomic screens for genes influencing homosexuality can be highly informative in resolving the form of natural selection maintaining their polymorphism