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Institute of Genetic Epidemiology

Curricular Teaching

The cross sectional field 1 (Querschnittsbereich 1) is part of the curriculum for medical students and is split into four parts:

  • Aetiology and Risk
  • Diagnosis and Prognosis
  • Intervention
  • Medical Informatics

The Institute of Genetic Epidemiology participates in the teaching of QB1.

Coordination: Institute of Medical Biometry and Statistics
Further Information: www.imbi.uni-freiburg.de/lehre
Ilias: 04LE57V-GÖQB003-01

 

 

 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: http://www.imbi.uni-freiburg.de/lehre
Ilias: 04LE57V-GÖQB003-01

 

 

This seminar is held for Master students of Molecular Medicine (https://www.molekularmedizin.uni-freiburg.de). Dr. Köttgen is teaching one lecture.

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 Dr. Götz Fabry, Dipl.-Päd. Ariane Zeuner
Ilias: 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.

For the purpose of continuing education the group is meeting on Tuesdays every other week at 11:30 am.

Location: meeting room (R 023, basement floor), Hugstetter Str. 49

Interested people are welcome to join us!

Date Name Topic
12/02/2019 Peggy Sekula Application of Mendelian Randomization Method to Evaluate Drugs regarding their Repurposing Potential and Adverse Effect Profiles
28/01/2019 Franziska Grundner-Culemann Estimating effect size distributions from summary statistics
15/01/2019 Anna Köttgen Longitudinal personal DNA methylome dynamics in a human with a chronic condition
18/12/2018 Yong Li Introduction to single cell RNA-seq data analysis
11/12/2018 Matthias Wuttke BOLT-LMM: Efficient Bayesian mixed-model analysis in large cohorts
20/11/2018 Inga Poguntke Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations
06/11/2018 Pascal Schlosser Co-regulatory networks of human serum proteins link genetics to disease
23/10/2018 Lora Minkova Combining brain MRI measures with DNA methylation for predicting cognitive impairment
09/10/2018 Ulla Schultheiß NAKO - Germany's largest health study: An introduction
11/09/2018 Yurong Cheng Uromodulin: from monogenic to multifactorial diseases
07/08/2018 Peggy Sekula Tests-Errors-Power - 1) Repetition for non-Stats: Tests and Errors, 2) Power calculation for survival endpoints
30/07/2018 Franziska Grundner-Culemann Colocalization methods
17/07/2018 Yong Li Basic introduction to Circos plot
03/07/2018 Matthias Wuttke Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types
19/06/2018 Martin Treppner(Invited Speaker) How to use t-SNE effectively
05/06/2018 Inga Poguntke Competing risk analyses – what to do and what to report?
15/05/2018 Pascal Schlosser Teschendorff 2018, Review: Statistical and integrative system-level analysis of DNA methylation data.
24/04/2018 Ulla Schultheiß Gout - etiology, pathogenesis, clinical presentation, diagnostics and therapy
10/04/2018 Anna Köttgen An Introduction of the NephQTL Browser
13/03/2018 Yurong Cheng Fine Mapping and Functional Analysis Reveal a Role of SLC22A1 in Acylcarnitine Transport
27/02/2018 Anselm Hoppmann Variant Effect Prediciton Tools
13/02/2018 Franziska Grundner-Culemann Methylation-Overview + EPIC array + CPACOR
30/01/2018 Svetlana Rylova (Invited Speaker) Targeting Anti TGF Therapy to Fibrotic Kidneys with a Dual Specificity Antibody Approach
16/01/2018 Peggy Sekula Splines
19/12/2017 Yong Li Metabolomics Workflows - Notes from an EBI Course
12/12/2017 Matthias Wuttke Conditional and joint multiple-SNP analysis of GWAS summary statistics
21/11/2017 Inga Poguntke The Cox model - when and how to use it
07/11/2017 Ulla Schultheiß End points and biomarkers in GCKD
24/10/2017 Svetlana Rylova (Invited Speaker) Targeted therapies in lung cancer
10/10/2017 Pascal Schlosser International Human Epigenome Consortium: An Overview
26/09/2017 Anselm Hoppmann Settling the score on variant prioritization in mendelian disease
25/07/2017 Peggy Sekula MR-MEGA (Meta Analysis)
18/07/2017 Yong Li Genotype-covariate interaction effects and the heritability of adult body mass index
11/07/2017 Matthias Wuttke Omnigenic Model // "An Expanded View of Complex Traits: From Polygenic to Omnigenic"
27/06/2017 Jiaojiao Jing The genotype-tissue expression (GTEx) pilot analysis: multitissue gene regulation in humans
30/05/2017 Anna Köttgen Integration of GWAS and eQTL datasets to predict disease genes: Summary data-based Mendelian Randomization (SMR) method
09/05/2017 Pascal Schlosser Imputation for Metabolomics
11/04/2017 Anselm Hoppmann The human gene damage index as gene-level approach to prioritizing exome variants
28/03/2017 Peggy Sekula Population genetics - some basic concepts
14/03/2017 Yong Li Dissecting the genetics of complex traits using summary association statistics
07/03/2017 Jiaojiao Jing Analysis of protein complexes using mass spectrometry
14/02/2017 Ulla Schultheiss GCKD variables - featuring the inventory

This Course’s target audience is those with general interest in the field of Genetic Epidemiology and those starting to work in this area. Essential publications related to development and application of research methods in Genetic Epidemiology are presented by participants and critically discussed.

The meetings are monthly. The next seminar will take place on thursday, 14.02.19 at 3 PM on

Manolio TA, et al.: Finding the missing heritability of complex diseases. Nature. 2009 Oct 8;461(7265):747-53.

In the coming months we will discuss Survival analyses and Prediction. The next dates will be 14th of march, 11th of april and 16th of may. 

Registration: Participation after registration at Institute’s secretariat (andrea.schmoelders@uniklinik-freiburg.de).

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 (andrea.schmoelders@uniklinik-freiburg.de).

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 (andrea.schmoelders@uniklinik-freiburg.de).

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 (andrea.schmoelders@uniklinik-freiburg.de).

This Course is targeted towards people with interest in data analysis in Epigenetic Epidemiology. Essential publications related to development and application of research methods are presented by participants and critically discussed. Participant’s own research projects are discussed in light of the latest research methods.

Registration: Participation after registration at Institute’s secretariat (andrea.schmoelders@uniklinik-freiburg.de).

MentoMed is a mentoring program for medical students in the clinical stage of their studies at the University of Freiburg, initiated in 2014. Students can request a subject area of interest, and are then coached by a correspondingly chosen mentor, either individually or in small groups, over a time period of 2 semesters. Mentors are required to have a medical degree and can either work as physicians and/or as scientists.

Aims are to provide a comprehensive insight into the work and career of the mentor during a course of 4-6 in-person meetings. Furthermore, the students get the opportunity to ask questions on topics like career planning, writing a doctoral thesis, clinical internships, work-life balance, etc.

This program is funded by the Bundesministeriums für Bildung und Forschung (BMBF: 01PL16007, 01JA1518A).

The Institute of Genetic Epidemiology supports this program.

Further Information: www.mentomed.uni-freiburg.de/index.php/startseite.html

Medical research studies pass through different stages, all of which need to be carefully planned and accounted for in data analysis. This lecture focuses on the steps necessary for the preparation of collected data for statistical analysis, the extent of which is commonly underestimated. Special emphasis is placed on the issue of incomplete data. Necessary statistical terms are introduced and examples are provided.

Upon completion of this course, participants will be able

  1. To describe main stages of any study in medical research,
  2. To explain importance of the stage related to the preparation of data for analysis,
  3. To describe the essential steps to prepare data for statistical analysis and to define necessary checks for different types data, and
  4. To describe the specific problem that might be caused by implausible or missing data.

Target group:
Doctoral students (medical research), Physicians, Students/Graduates of other areas of life sciences

Date:
Part 1 09.05.2019 16:00-17:30
Part 2 16.05.2019 16:00-17:30

Location:
Zentrum Translationale Zellforschung (ZTZ), Breisacher Str. 115

Registration:

https://www.med.uni-freiburg.de/de/forschung/karrierewege/equip/equip

 

For further information:
peggy.sekula@uniklinik-freiburg.de