ゲノム情報科学研究教育機構  アブストラクト
Date 2:00pm Jul 24, 2019
Speaker Gabriella Juhasz,
Associate Professor, Semmelweis University, Hungary
Dr. Gabriella Juhasz received her medical degree, completed her neurologist training, and obtained her PhD from the Semmelweis University, Budapest, Hungary. After her PhD she joined to the team of Professor Bill Deakin at the University of Manchester (UK) as a Postdoctoral Research Fellow to investigate genetic risk factors of depression, and later was promoted to Senior Clinical Research Fellow. She was appointed Associate Professor at Semmelweis University in 2011, and started her own research group to investigate the neurobiological background of migraine. She leads the UK Biobank research No. 1602 (Do Nutritional Factors Modify Gene x Life-stress Interactions in the Pathogenesis of Depression?) and the SE-NAP 2 Genetic Brain Imaging Migraine Research Group. She has over 2000 citations on her works and her Hirsh Index is 26.
Title Environmental causes of depression
Abstract The heritability of major depressive disorder (MDD) is about 0.4 based on twin studies and the remaining 60% of variability in MDD is explained by environmental factors. Despite the long standing interest of environmental factors such as childhood trauma, negative life events, physical activity, alcohol consumption or diet, which can contribute to the development of depression, a comprehensive map of these factors is lacking. The presentation will summarize how these factors may contribute to MDD taking into account life stressors, social and lifestyle factors, and other mental health, metabolic or pain conditions based on the UK Biobank data. We used Bayesian network modeling to determine direct dependencies and other methods to investigate interacting or synergistic multifactorial risks. Our results suggest that most of the environmental risk or protective factors of MDD are part of a dynamic network via transitive, interactive and synergistic relationships therefore studies which consider them individually may not able to capture their complex effect. This research has been conducted using the UK Biobank Resource (No. 1602) and supported by the National Development Agency (KTIA_NAP_13-1-2013-0001), Hungarian Brain Research Program (KTIA_13_NAP-A-II/14, KTIA_NAP_13-2-2015-0001, 2017-1.2.1-NKP-2017-00002), by the Hungarian Academy of Sciences, and by the Manchester Academic Health Science Centre, University of Manchester.
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