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- Original title:
- Understanding multimorbidity with big data in genomics
- Translated title:
- Die Erforschung von Multimorbidität mithilfe von Big Data in der Genomik
- Author:
- de Santana Villasboas Arruda, Ana Luiza
- Year:
- 2024
- Document type:
- Dissertation
- Faculty/School:
- TUM School of Medicine and Health
- Institution:
- Lehrstuhl für Translationale Genomik (HMGU) (Prof. Zeggini)
- Advisor:
- Zeggini, Eleftheria (Prof. Dr.)
- Referee:
- Zeggini, Eleftheria (Prof. Dr.); Gagneur, Julien (Prof. Dr.)
- Language:
- en
- Subject group:
- MED Medizin
- TUM classification:
- BIO 180; CIT 972
- Abstract:
- This thesis delves into the genetics of multimorbidity using large genomic datasets, focusing on the comorbidities between type 2 diabetes and osteoarthritis, as well as type 2 diabetes and schizophrenia. Through genome-wide and regional analyses including causal inference and colocalization analysis, shared risk signals and putative effector genes influencing both diseases simultaneously were identified. The research suggests potential therapeutic targets and drug repurposing opportunities.
- Translated abstract:
- Die Dissertation erforscht die Genetik der Multimorbidität unter Verwendung großer genomischer Datensätze, insbesondere die Komorbiditäten zwischen Typ-2-Diabetes und Osteoarthritis sowie Typ-2-Diabetes und Schizophrenie. Durch verschiedene Analysen wurden gemeinsame Risikosignale und Effektorgene identifiziert. Diese Erkenntnisse bieten Potenzial für neue therapeutische Ansätze und die Wiederverwendung von Medikamenten.
- WWW:
- https://mediatum.ub.tum.de/?id=1737687
- Date of submission:
- 15.03.2024
- Oral examination:
- 16.09.2024
- File size:
- 1453097 bytes
- Pages:
- 35
- Urn (citeable URL):
- https://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20240916-1737687-1-7
- Last change:
- 11.10.2024
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