Gene Overdosage and comorbidities during the early lifetime in Down Syndrome

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10 September 2023

GO-DS21 5th General Assembly Meeting

The 5th General Assembly meeting of the GO-DS21 project took place in Paris from September 7th to 9th, 2023, and it was a fantastic success. We want to express our sincere thanks to all the consortium members and advisors who played a vital role in driving the GO-DS21 project forward with their invaluable contributions. Your commitment and hard work mean the world to us. Let's keep up the great work and stay motivated as we achieve our goals!

News & Events

More news
10 September 2023

GO-DS21 5th General Assembly Meeting

The 5th General Assembly meeting of the GO-DS21 project took place in Paris from September 7th to 9th, 2023, and it was a fantastic success. We want to express our sincere thanks to all the consortium members and advisors who played a vital role in driving the GO-DS21 project forward with their invaluable contributions. Your commitment and hard work mean the world to us. Let's keep up the great work and stay motivated as we achieve our goals!

Summary Statement

Clinicians, pathophysiologists, integrative bioinformaticians and artificial intelligence computer scientists working to unravel intrinsic and extrinsic mechanisms that impact on Down Syndrome (DS) comorbidity (focusing on obesity and intellectual disability. The examination of the pathways and mechanisms involved in comorbidities and multi-morbidities that induce the coexistence of two or more diseases in an individual is of major importance for the effective treatment of patients suffering from DS, obesity and mental disorders.

To achieve a system view to this disease we will integrate multiple datasets using new multi-layered approaches, which offer a unique opportunity for the integration and synthesis of molecular (multi-OMICS) preclinical (cellular and animal) and clinical datasets and metadata (environment, patient history) to understand the mechanisms of comorbidities.

In GO-DS21 we plan to use publicly available and self-developed bioinformatics tools, network science, statistical machine learning software and mathematical modeling approaches to unravel the shared etiological mechanisms in DS and the associated comorbidities, mainly obesity and intellectual disability.

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