CGEpi Winter School - Course Materials

General Information

Winter School 2017 Schedule

List of Lectureres

List of Participants

Maps for session at different loactions

How to get to the Hörsaal Trakt (Lecture Halls) /GH Klinikum Nord


Introduction to cancer genomics

Allan Balmain: Cancer genetics: from Boveri and Mendel to microarrays, Nature Reviews Cancer, 2001;[to be discussed during the class]

Douglas Hanahan and Robert A. Weinberg: Hallmarks of Cancer: The Next Generation, Cell, 2011[to be discussed during the class]

Intra- and inter-tumor heterogenity

Gerlinger M et al: Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. N Engl J Med 366(10):883-892 (2012); [to be discussed during the class]

Hosseini H at al: Early dissemination seeds metastasis in breast cancer. Nature 540(7634):552-558 (2016); [to be discussed during the class]

The Cancer Genome Atlas Network: Comprehensive molecular characterization of human colon and rectal cancer Nature 487(7407): 330–337 (2012); [to be discussed during the class]

Principles for the ethical analysis of clinical translational research

Gelfond JA et al.: Principles for the ethical analysis of clinical and translational research. Stat Med  30(23):2785-92 (2011);[to be discussed during the class]

Dewey FE et al: Distribution and clinical impact of functional variants in 50,725 whole-exome sequences from the DiscovEHR Study. Science 354(6319):aaf6814-1-10 (2016);[to be discussed during the class]

Abul-Husn NS et al: Genetic identification of familial hypercholesterolemia within a single U.S. health care system. Science 354 (6319):aaf7000-1 – 7 (2016);[to be discussed during the class]

Gerstung M et al.: Precision oncology for acute myeloid leukemia using a knowledge bank approach. Nat Genet. doi: 10.1038/ng.3756 (2017); [to be discussed during the class]

Personalized Medicine and Study Design

Buyse M. et al.: Integrating biomarkers in clinical trails. Expert Rev. Mol. Diagn.11(2):171-82 (2011);[to be discussed during the class]

Health economics and ethics

Schremser K. et al.: Cost-Effectiveness of an Individualized First-Line Treatment Strategy Offering Erlotinib Based on EGFR Mutation Testing in Advanced Lung Adenocarcinoma Patients in Germany. Pharmacoeconomics 33(11):1215-28 (2015); [to be discussed during the class]

Further readings

Hood L.: Systems Biology and P4 Medicine: Past, Present, and FutureRMMJ 4(2):e0012. doi: 10.5041/RMMJ.10112 (2013);  

Khoury MJ et al.: A Population Perspective on How Personalized Medicine Can Improve Health. Am J Prev Med 42(6):639-45 (2012);

Wu CC et al.: TARGETgene: a tool for identification of potential therapeutic targets in cancer
PLoS One 7(8):e43305 (2012);

Vazquez M et al.: Cancer Genome Analysis. PLoS Comput Biol 8(12):e1002824 (2012);

Guinney J et al.: The consensus molecular subtypes of colorectal cancer. Nat Med 21(11):1350-6 (2015);

Silberzahn R, Uhlmann EL: Crowdsourced research: Many hands make tight work. Nature 526(7572):189-91 (2015);

Ioannidis JPA: Why Most Publiches Research Findings Are False. PlosMed 2(8):0696-0701 (2005);

Aalen Odd O: Causality and Mechanisms Between Statistics and Philosophy;

Dupuy A and Simon RM: Critical Review of Published Microarray Studies for Cancer Outcome and Guidelines on Statistical Analysis and Reporting. J Natl Cancer Inst 99(2):147-57 (2007);


Buyse M et al.: Biomarkers and surrogate end points--the challenge of statistical validation. Nat Rev Clin Oncol. 7(6):309-17 (2010);

Sargent DJ et al.: Clinical Trial Designs for Predictive Marker Validation in Cancer Treatment Trials. J Clin Oncol 23(9):2020-7 (2005); 

de Bono JS and Ashworth A: Translating cancer research into targeted therapeutics. Nature 467(7315):543-9. doi: 10.1038/nature09339 (2010);

Breiman L: Statistical Modeling: The Two Cultutres. Statistical Science 16(3) 199-231 (2001); 


Monday, Feb. 6 morning session

Introduction to Winter School

Tuesday, Feb. 7


Thursday, Feb. 9

Intra-and inter-tumor heterogenity

Friday, Feb.10, morning session

Personalized Medicine and Study Designs

Friday, Feb. 10, afternoon session

Health economics of Personalized Medicine

Monday, Feb. 13, morning session


Tuesday, Feb. 14, morning session

Personalized Medicine in Cardiology - Rhythmology as Example

Tuesday, Feb.14, afternoon session: Self-Study - Directed to consumer genetic testing

Donna Dickenson: Me -  medicine versus We -  medicine: 'A reality check for personalized medicine'

Wednesday, Feb. 15, morning session

Statistics for high dimensional data - part 1

Statistics for high dimensional data - part 2

Statistics for high dimensional data - part 3

Wednesday, Feb. 15, afternoon session

Pharmacogenomics - part 1

Pharmacogenomics - part 2

Thursday, Feb. 16, afternoon session

Science Principles for Biology - Causality & Complexity

Friday, Feb. 17 - students' presentations

Summary Day 2 (Feb 7)

Summary Day 3 (Feb 8)

Summary Day 5 (Feb 10)

Summary Day 6 (Feb 13)

Summary Day 7 (Feb 14)