J. Anke M. van Eekelen, Justine A. Ellis, Craig E. Pennell, Richard Saffery, Eugen Mattes, Jeff Craig and Craig A. Olsson
Genetic risk for depressive disorders is poorly understood despite consistent suggestions of a high heritable component. Most genetic studies have focused on risk associated with…
Abstract
Genetic risk for depressive disorders is poorly understood despite consistent suggestions of a high heritable component. Most genetic studies have focused on risk associated with single variants, a strategy which has so far only yielded small (often non-replicable) risks for depressive disorders. In this paper we argue that more substantial risks are likely to emerge from genetic variants acting in synergy within and across larger neurobiological systems (polygenic risk factors). We show how knowledge of major integrated neurobiological systems provides a robust basis for defining and testing theoretically defensible polygenic risk factors. We do this by describing the architecture of the overall stress response. Maladaptation via impaired stress responsiveness is central to the aetiology of depression and anxiety and provides a framework for a systems biology approach to candidate gene selection. We propose principles for identifying genes and gene networks within the neurosystems involved in the stress response and for defining polygenic risk factors based on the neurobiology of stress-related behaviour. We conclude that knowledge of the neurobiology of the stress response system is likely to play a central role in future efforts to improve genetic prediction of depression and related disorders.
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Sabina Bogilović, Guido Bortoluzzi, Matej Černe, Khatereh Ghasemzadeh and Jana Žnidaršič
The purpose of this paper is to extend current discussion on the drivers of innovative work behavior (IWB) by exploring how individual perceived diversities (visible dissimilarity…
Abstract
Purpose
The purpose of this paper is to extend current discussion on the drivers of innovative work behavior (IWB) by exploring how individual perceived diversities (visible dissimilarity and cognitive group diversity) and climates (team/clan and innovative/entrepreneurial) impact IWB.
Design/methodology/approach
Data had been collected from a cross-national study of working professionals (n = 584) from five different cultural contexts.
Findings
Findings of this study indicated that cognitive group diversity mediated the negative relationship between visible dissimilarity and IWB. Further, both innovative/entrepreneurial and team/clan climates moderated the relationship between visible dissimilarity and cognitive group diversity. Such a moderation effect reduced the negative effect that visible dissimilarity had on IWB.
Research limitations/implications
A cross-sectional single-source data set.
Practical implications
From a managerial perspective, climates (team/clan and innovative/entrepreneurial) are central for IWB in the diverse (visible and cognitive) working environment. Thus, organizations should pay attention to create a climate (team/clan or/and innovative/entrepreneurial) that reduces the negative impact of perceived diversity in the working environment while supporting IWB.
Originality/value
This study is the first of its kind that is based on social categorization theory, empirically examining how different types of diversity (visible dissimilarity and cognitive group diversity) simultaneously reduce individuals’ IWB. Furthermore, this paper provides insights that climates (team/clan and innovative/entrepreneurial) are crucial for IWB in the diverse working environment.