Curricular Teaching
The cross-sectional field 1 (Querschnittsbereich 1, QB1) is part of the curriculum for medical students and consists of 5 parts:
- Etiology and Risk
- Diagnosis and Prognosis
- Intervention
- Medical Informatics
- Genetic Epidemiology
The Institute of Genetic Epidemiology participates in teaching QB1.
Coordination: Institute of Medical Biometry and Statistics
Further Information: https://www.uniklinik-freiburg.de/imbi/stud-le/qb-1.html
Course number: 04LE58V-EpiQB001-0
The cross-sectional field 3 (Querschnittsbereich 3, QB3) is part of the curriculum for medical students.
The Institute of Genetic Epidemiology participates in teaching QB3.
Coordination: Institute of Medical Biometry and Statistics
Further Information: https://www.uniklinik-freiburg.de/imbi/stud-le/qb-3.html
Course number: 04LE57V-GÖQB003-01
This seminar is held for Master students of Molecular Medicine (https://www.molekularmedizin.uni-freiburg.de). Prof. Dr. A. Köttgen is teaching one lecture.
Course number: 04LE59S-MSc440
This seminar is part of the curriculum for medical students. Medical staff of the Institute of Genetic Epidemiology participates in teaching.
Course number: 04LE59P-InneBP001-01
Basic knowledge on research methods and statistics is not only relevant for preparing a doctoral thesis and (future) research projects but also in clinical practice allowing physicians to practice best patient care.
This mandatory seminar for students of the 2nd semester in pre-med is based on didactic concepts of team-learning and is supported by tutors. Lecturers/Professors from different disciplines like Genetic Epidemiology are available in Q&A Sessions and as mentors.
Coordination: Medical Psychology and Medical Sociology
Further Information: https://www.mps.uni-freiburg.de/lehre/wdh/seminar_wdh
Course number: 04LE57S-MPsy0215PF
Extracurricular Teaching
The Bioinformatics Club serves as a platform for the scientific exchange between people working in (medical) bioinformatics and related fields of medicine and statistics of the Medical Center - University of Freiburg, associated institutions, the 11th Faculty and the Max Planck Institute of Immunobiology and Epigenetics.
At monthly meetings, methods, software, analytical challenges and potential solutions - especially in the context of high-dimensional data such as genome sequences - are presented and discussed.
Further information can be found here.
Course number: 04LE58T-GenEpiS2FA
Staff members of the Institute of Genetic Epidemiology as well as interested students and scientists meet every other Tuesday at 11:30 am for further training purposes.
Meeting point: Conference room (R 004A, ground-floor), Hugstetter Str. 49 / Online
We are pleased about the participation of interested guests!
Registration: Participation is only possible after contacting our administrative office (bemb.ge.info@uniklinik-freiburg.de).
Course number: 04LE58S-GenEpiS1FA
Date | Name of the Lecturer | Theme |
|---|---|---|
16/04/2024 | Peggy Sekula | Regression vs Machine Learning / AI |
09/04/2024 | Sara Monteiro-Martins | GWAS annotation pipeline (based on ProGeM) |
12/03/2024 | Oleg Borisov | Genomic data in the All of Us Research Program |
20/02/2024 | Elena Butz | Mediation analysis and mendelian randomization: The example of early life adiposity and breast cancer risk |
06/02/2024 | Nora Scherer | Rare variant associations with plasma protein levels in the UK Biobank |
23/01/2024 | Yong Li | FORGEdb: a tool for identifying candidate functional variants and uncovering target genes and mechanisms for complex diseases |
28/11/2023 | Sonja Albers | Do Archaea play a role in Human health and disease? |
14/11/2023 | Ulla Schultheiß | X-inactivation |
25/07/2023 | Matthias Wuttke | The landscape of tolerated genetic variation in humans and primates (second part) |
18/07/2023 | Matthias Wuttke | The landscape of tolerated genetic variation in humans and primates |
27/06/2023 | Peggy Sekula | Evaluation of disease trajectories |
13/06/2023 | Stefan Haug, Oleg Borisov, Sara Monteiro Martins | ChatGPT and other generative AI systems as tool for researchers |
01/06/2023 | Gabriel Loeb | Genotype to phenotype - Learning mechanisms of kidney disease from human genetics |
16/05/2023 | Nora Scherer | Adjusting for common variant polygenic scores improves yield in rare variant association analyses |
04/04/2023 | Fujii Ryosuke | Multi-Marker Modeling to identify genes directly relevant to kidney function |
21/03/2023 | Elena Butz | New (and European) equations for eGFR |
07/03/2023 | Oleg Borisov | Multi-trait colocalization with HyPrColoc |
21/02/2023 | Yong Li | 15 years of GWAS discovery: Realizing the promise |
24/01/2023 | Sara Monteiro Martins | Overview of TWAS analysis and how can we include splicing information; Integrating transcription factor occupancy with transcriptome-wide association analysis identifies susceptibility genes in human cancers |
10/01/2023 | Stefan Haug | Introduction to Spatial Transcriptomics: Spatially Resolved Transcriptomic Analysis of Acute Kidney Injury |
29/11/2022 | Matthias Wuttke | A saturated map of common genetic variants associated with human height |
15/11/2022 | Nora Scherer | Whole-exome sequencing identifies rare genetic variants associated with human plasma metabolites |
18/10/2022 | Ulla Schultheiß | Glycosylation Profile of IgG in moderate kidney dysfunction |
04/10/2022 | Peggy Sekula | Causation - Causal Inference: target trial emulation |
20/09/2022 | Yong Li | Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity |
12/07/2022 | Fruzsina Kotsis | eGFR as End Points for Clinical and epidemiologocial studies |
24/05/2022 | Burulca Göcmen | Mapping the proteo-genomic convergence of human diseases |
17/05/2022 | Ana Navas-Acien | Metallomics: a powerful tool for medicine and public health |
05/04/2022 | Jan Lipovsek | New Creatinine- and Cystatin C–Based Equations to Estimate GFR without Race |
22/03/2022 | Andrea zur Nieden and Isabelle Bartram | Sociological perspectives on the use of "race", "ethnicity" and similar categories in epidemiology, medicine and other life sciences |
08/03/2022 | Matthias Wuttke | Exome Sequencing of the UKBB |
22/02/2022 | Stefan Haug | Physiology of urinary protein excretion |
08/02/2022 | Inga Steinbrenner | The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation |
25/01/2022 | Ulla Schultheiß | The Relationship between AKI and CKD in Patients with Type 2 Diabetes: An Observational Cohort Study |
11/01/2022 | Peggy Sekula | Introduction to Mediation Analysis |
14/12/2021 | Yong Li | Leveraging polygenic enrichments of gene features to predict genes underlying complex traits and diseases |
30/11/2021 | Martin Treppner | scVIDE: Single Cell Variational Inference for Designing Experiments |
02/11/2021 | Burulca Göcmen | Open Targets Genetics resource and L2G pipeline |
19/10/2021 | Nora Scherer | Calibrated rare variant genetic risk scores for complex disease prediction using large exome sequence repositories |
05/10/2021 | Matthias Wuttke | The UKBB RAP |
21/09/2021 | Fruzsina Kotsis | Research electronic data capture (REDCap)--a metadata-driven methodology |
03/08/2021 | Stefan Haug | Single cell transcriptional and chromatin accessibility profiling redefine cellular heterogeneity in the adult human kidney |
15/06/2021 | Pascal Schlosser | A cross-platform approach identifies genetic regulators of human metabolism and health |
01/06/2021 | Yurong Cheng | SomaScan technical notes and applications |
18/05/2021 | Jan Lipovsek | casebase: An Alternative Framework For Survival Analysis and Comparison of Event Rates |
04/05/2021 | Anna Köttgen | Reverse Translation and the Role of Human Genetics in Drug Discovery |
20/04/2021 | Ulla Schultheiß | nephrogenetics - an overview |
13/04/2021 | Peggy Sekula | Population attributable fraction (PAF) |
23/03/2021 | Yong Li | Regulatory genomic circuitry of human disease loci by integrative epigenomics |
09/03/2021 | Matthias Wuttke | REGENIE - computationally efficient whole genome regression |
23/02/2021 | Fruzsina Kotsis | Prevalence of atheromatous and non-atheromatous cardiovascular disease by age in chronic kidney disease |
09/02/2021 | Pascal Schlosser | Probabilistic colocalization of genetic variants from complex and molecular traits: promise and limitations |
26/01/2021 | Yurong Cheng | Untargeted high-resolution paired mass distance data mining for retrieving general chemical relationships |
12/01/2021 | Jan Lipovsek | Whole Body MR Imaging in Population Based Studies, especially the NAKO |
This Course establishes a framework to design, present and discuss scientific projects in the area of Genetic Epidemiology. At each weekly meeting, a single project is presented and discussed in more detail, with topics of general interest covered each week.
Registration: Participation after registration at Institute’s secretariat (bemb.ge.info@uniklinik-freiburg.de).
Course number: 04LE58S-GenEpiS3FA
This Seminar reviews and discusses epidemiologic and statistical methods used to gain insights into the prevalence, etiology and consequences of human renal and metabolic diseases. The basis of this Course is presentations of participants’ scientific projects and a series of current scientific publications.
Registration: Participation after registration at Institute’s secretariat (bemb.ge.info@uniklinik-freiburg.de).
Course number: 04LE58S-GenEpiS4FA
This Seminar offers the opportunity to present projects at the Institute or external projects with a focus on the analysis of Metabolomics data and their integration with other -Omics data. Issues related to data processing and analysis and possible solutions are discussed, and implemented solutions and analysis results are reviewed.
Registration: Participation after registration at Institute’s secretariat (bemb.ge.info@uniklinik-freiburg.de).
Course number: 04LE58S-GenEpiS5FA
The MentoMed II program is a mentoring-program for medical students in their second part of the medical curriculum. The program is provided for medical students by the Medical Faculty of the University of Freiburg. Here, students (mentees) regularly meet up with physicians (mentors) for mentoring sessions to benefit from the physician’s expertise and past experiences.
Students, who are interested in becoming a Mentee in the MentoMed II program can register for one-on-one or group mentorings for two semesters. The assigned mentors are physicians working in the clinic or in research. Medical staff from the Institute of Genetic Epidemiology is also actively participating in the Mentoring-program.
Aim of the Mentoring is to deliver insights into the daily routine of the mentors and their occupational history. The mentees also have the possibility to ask questions on subjects of interest, like carrier planning, medical thesis, internships, practical year, family and job possibilities. Mentors can offer advice, extra information, contact information for internships or help focusing on potential future aims.
Further Information: https://www.medizinstudium.uni-freiburg.de/studierendeinfo/mentoring/mentoring-ii