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Slosarek, T.* ; Ibing, S.* ; Schormair, B. ; Heyne, H.O.* ; Bottinger, E.P.* ; Andlauer, T.F.M.* ; Schurmann, C.*

Implementation and evaluation of personal genetic testing as part of genomics analysis courses in German universities.

BMC Med. Genomics 16:73 (2023)
Publ. Version/Full Text DOI PMC
Open Access Gold
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PURPOSE: Due to the increasing application of genome analysis and interpretation in medical disciplines, professionals require adequate education. Here, we present the implementation of personal genotyping as an educational tool in two genomics courses targeting Digital Health students at the Hasso Plattner Institute (HPI) and medical students at the Technical University of Munich (TUM). METHODS: We compared and evaluated the courses and the students' perceptions on the course setup using questionnaires. RESULTS: During the course, students changed their attitudes towards genotyping (HPI: 79% [15 of 19], TUM: 47% [25 of 53]). Predominantly, students became more critical of personal genotyping (HPI: 73% [11 of 15], TUM: 72% [18 of 25]) and most students stated that genetic analyses should not be allowed without genetic counseling (HPI: 79% [15 of 19], TUM: 70% [37 of 53]). Students found the personal genotyping component useful (HPI: 89% [17 of 19], TUM: 92% [49 of 53]) and recommended its inclusion in future courses (HPI: 95% [18 of 19], TUM: 98% [52 of 53]). CONCLUSION: Students perceived the personal genotyping component as valuable in the described genomics courses. The implementation described here can serve as an example for future courses in Europe.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Genomics Education ; Personal Genotyping ; Personalized Medicine; Outcomes
Language english
Publication Year 2023
HGF-reported in Year 2023
e-ISSN 1755-8794
Quellenangaben Volume: 16, Issue: 1, Pages: , Article Number: 73 Supplement: ,
Publisher BioMed Central
Publishing Place Campus, 4 Crinan St, London N1 9xw, England
Reviewing status Peer reviewed
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Genetics and Epidemiology
PSP Element(s) G-503200-001
Grants H2020 Societal Challenges Programme
European Commission
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
Projekt DEAL
Scopus ID 85151781405
PubMed ID 37020303
Erfassungsdatum 2023-10-06