Omics in Diagnostics
A.Y. 2021/2022
Learning objectives
"The aim of the course is to teach the use of omics technologies in a diagnostic setting.
The course will cover the identification, analysis and applications of different types of biomarkers, focusing mainly on genomics approaches applied to clinical problems and data analysis of real data from clinical genomics laboratories."
The course will cover the identification, analysis and applications of different types of biomarkers, focusing mainly on genomics approaches applied to clinical problems and data analysis of real data from clinical genomics laboratories."
Expected learning outcomes
"At the end of the course, students are expected to:
i) understand the clinical question at the basis of omics analyses in a diagnostic setting;
ii) select appropriate laboratory protocols for the clinical problem under analysis;
iii) perform the appropriate data analysis independently."
i) understand the clinical question at the basis of omics analyses in a diagnostic setting;
ii) select appropriate laboratory protocols for the clinical problem under analysis;
iii) perform the appropriate data analysis independently."
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Course syllabus
· Introduction to the concept of clinically useful Biomarkers:
Single nucleotide variations
Gene amplifications
Microsatellite instability
Translocations
InDels
· Specific disease biomarkers
Oncology (somatic mutations)
Inherited diseases (germline mutations)
· Profiling techniques
· Data analysis in a diagnostic setting
Single nucleotide variations
Gene amplifications
Microsatellite instability
Translocations
InDels
· Specific disease biomarkers
Oncology (somatic mutations)
Inherited diseases (germline mutations)
· Profiling techniques
· Data analysis in a diagnostic setting
Prerequisites for admission
Basic knowledge of genomics and data analysis.
Teaching methods
Lectures will be accompanied by tutorials. Class discussion will be also organized with presentation of real data form diagnostic laboratories using omics technologies, during which students are required to actively interact.
Live discussions and questions during lecture and tutorials are encouraged.
Live discussions and questions during lecture and tutorials are encouraged.
Teaching Resources
Slides and scientific material provided during lectures
Assessment methods and Criteria
The overall assessment of the students will be based on their performance in an oral examination.
Attendance to at least 80% of class activities is required to be allowed to take the exam.
Attendance to at least 80% of class activities is required to be allowed to take the exam.
MED/03 - MEDICAL GENETICS
MED/08 - PATHOLOGY
MED/08 - PATHOLOGY
Practicals: 16 hours
Lessons: 40 hours
Lessons: 40 hours
Professor(s)
Reception: