en
  • Deutsch - de
  • English - en
  • About
      About us
        Our Measures
          Members
            Cluster Management
               PhD & Postdoc representatives
                Scientific Advisory Board
                   International cooperation partners
                    Timeline
                       Media Kit
                        Contact
                      • News & Events
                          News
                            Events
                              In the News
                                Open Positions
                              • Research
                                  Publications
                                    Our Research Focus
                                      Technology Hubs
                                        Research Spotlight
                                          Data Management & Sharing
                                            Sustainability Initiative
                                               Code of Conduct
                                            • Science & Society
                                                For Schools & Students
                                                  Public Events
                                                    Podcasts
                                                      Videos
                                                    • Support for Diversity & Equity
                                                        Newcomer Center
                                                          Gender Equality Program
                                                            Early Career Investigator Program
                                                          1. Home
                                                          2. News & Events
                                                          3. News
                                                          4. Genes as early warning systems
                                                          News | 20/12/2019 | Press Release

                                                          Genes as early warning systems

                                                          Estimates based on genomic data predict stroke risk with an accuracy similar to, or greater than those based on clinical risk factors. This result implies that persons at high risk might benefit from more rigorous preventive measures.

                                                          Strokes are the second most common cause of death worldwide, and the leading cause of physical disabilities in adults. Approximately 80% of all cases of stroke are the result of ischemia, i.e. an acute lack of oxygen owing to the obstruction of blood flow through a cerebral artery in the brain. The individual level of risk for ischemic stroke is determined by a combination of genetic factors and pre-existing disorders, such as high blood pressure and diabetes. In collaboration with researchers at Cambridge University and the Baker Heart and Diabetes Institute in Melbourne, SyNergy member Martin Dichgans (LMU Medical Center) has now shown that genetic data obtained from a single sample of blood or saliva can identify persons who have a three-fold higher risk (than the average for the population as a whole) of suffering an ischemic stroke. Moreover, this genetically based estimate of risk is as reliable, or even more so, than that based on the assessment of conventionally recognized clinical risk factors. Based on these results, the authors of the study conclude that individuals with a high genetic risk may need more meticulous monitoring and more intensive preventive interventions than current guidelines suggest. The new findings appear today in the online journal Nature Communication.

                                                          • Press release LMU

                                                          Participating Universities
                                                           LMU logo in white
                                                           TUM logo in white
                                                          Partner Institutions
                                                           Logo DZNE in white
                                                          Helmholtz Munich logo in white 
                                                           Logo Max Planck Gesellschaft 

                                                          SyNergy is funded by the Deutsche Forschungsgemeinschaft (German Research Foundation) within the framework of the German Excellence Strategy (EXC 2145 SyNergy – ID 390857198). The Excellence Strategy promotes outstanding research at German universities. 

                                                          Contact

                                                          Munich Cluster for Systems Neurology (SyNergy)

                                                          Feodor-Lynen-Str. 17
                                                          81377 Munich
                                                          +49 (0)89 4400-46497
                                                          yüubgybcјuipxј_WvWfulyz mi
                                                          Login for editors
                                                          Imprint | Data-Safety
                                                          en
                                                          • Deutsch - de
                                                          • English - en

                                                          SyNergy - Mu...

                                                          • About
                                                            • About us
                                                            • Our Measures
                                                            • Members
                                                            • Cluster Management
                                                            •  PhD & Postdoc representatives
                                                            • Scientific Advisory Board
                                                            •  International cooperation partners
                                                            • Timeline
                                                            •  Media Kit
                                                            • Contact
                                                          • News & Events
                                                            • News
                                                            • Events
                                                            • In the News
                                                            • Open Positions
                                                          • Research
                                                            • Publications
                                                            • Our Research Focus
                                                            • Technology Hubs
                                                            • Research Spotlight
                                                            • Data Management & Sharing
                                                            • Sustainability Initiative
                                                            •  Code of Conduct
                                                          • Science & Society
                                                            • For Schools & Students
                                                            • Public Events
                                                            • Podcasts
                                                            • Videos
                                                          • Support for Diversity & Equity
                                                            • Newcomer Center
                                                            • Gender Equality Program
                                                            • Early Career Investigator Program