Stefan Wilkening
Stefan Wilkening
BioNTech SE
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Cited by
Comparison of primary human hepatocytes and hepatoma cell line Hepg2 with regard to their biotransformation properties
S Wilkening, F Stahl, A Bader
Drug metabolism and disposition 31 (8), 1035-1042, 2003
Genome-wide association scan identifies a colorectal cancer susceptibility locus on 11q23 and replicates risk loci at 8q24 and 18q21
A Tenesa, SM Farrington, JGD Prendergast, ME Porteous, M Walker, ...
Nature genetics 40 (5), 631-637, 2008
MDM2 SNP309 and cancer risk: a combined analysis
S Wilkening, JL Bermejo, K Hemminki
Carcinogenesis 28 (11), 2262-2267, 2007
Alternative polyadenylation diversifies post‐transcriptional regulation by selective RNA–protein interactions
I Gupta, S Clauder‐Münster, B Klaus, AI Järvelin, RS Aiyar, V Benes, ...
Molecular systems biology 10 (2), 719, 2014
Influence of culture time on the expression of drug‐metabolizing enzymes in primary human hepatocytes and hepatoma cell line HepG2
S Wilkening, A Bader
Journal of biochemical and molecular toxicology 17 (4), 207-213, 2003
An efficient method for genome-wide polyadenylation site mapping and RNA quantification
S Wilkening, V Pelechano, AI Järvelin, MM Tekkedil, S Anders, V Benes, ...
Nucleic acids research 41 (5), e65-e65, 2013
Is there still a need for candidate gene approaches in the era of genome-wide association studies?
S Wilkening, B Chen, JL Bermejo, F Canzian
Genomics 93 (5), 415-419, 2009
An Evaluation of High-Throughput Approaches to QTL Mapping in Saccharomyces cerevisiae
S Wilkening, G Lin, ES Fritsch, MM Tekkedil, S Anders, R Kuehn, ...
Genetics 196 (3), 853-865, 2014
Quantitative real-time polymerase chain reaction: methodical analysis and mathematical model
S Wilkening, A Bader
Journal of biomolecular techniques: JBT 15 (2), 107, 2004
The expression of HMGA genes is regulated by their 3′ UTR
L Borrmann, S Wilkening, J Bullerdiek
Oncogene 20 (33), 4537-4541, 2001
SNP_tools: A compact tool package for analysis and conversion of genotype data for MS-Excel
B Chen, S Wilkening, M Drechsel, K Hemminki
BMC research notes 2, 1-4, 2009
Determination of allele frequency in pooled DNA: comparison of three PCR-based methods
S Wilkening, K Hemminki, R Kumar Thirumaran, J Lorenzo Bermejo, ...
Biotechniques 39 (6), 853-858, 2005
Interleukin promoter polymorphisms and prognosis in colorectal cancer
S Wilkening, B Tavelin, F Canzian, K Enquist, R Palmqvist, A Altieri, ...
Carcinogenesis 29 (6), 1202-1206, 2008
Genotyping 1000 yeast strains by next-generation sequencing
S Wilkening, MM Tekkedil, G Lin, ES Fritsch, W Wei, J Gagneur, ...
BMC genomics 14, 1-10, 2013
Polymorphisms of genes coding for ghrelin and its receptor in relation to anthropometry, circulating levels of IGF-I and IGFBP-3, and breast cancer risk: a case–control study …
L Dossus, JD McKay, F Canzian, S Wilkening, S Rinaldi, C Biessy, ...
Carcinogenesis 29 (7), 1360-1366, 2008
AAV vector-mediated in vivo reprogramming into pluripotency
E Senís, L Mosteiro, S Wilkening, E Wiedtke, A Nowrouzi, S Afzal, ...
Nature Communications 9 (1), 2651, 2018
The Single Nucleotide Polymorphism IVS1+309 in Mouse Double Minute 2 Does Not Affect Risk of Familial Breast Cancer
S Wilkening, JL Bermejo, B Burwinkel, R Klaes, CR Bartram, A Meindl, ...
Cancer research 66 (2), 646-648, 2006
Negative feedback buffers effects of regulatory variants
DM Bader, S Wilkening, G Lin, MM Tekkedil, K Dietrich, LM Steinmetz, ...
Molecular systems biology 11 (1), 785, 2015
GENE-IS: time-efficient and accurate analysis of viral integration events in large-scale gene therapy data
S Afzal, S Wilkening, C von Kalle, M Schmidt, R Fronza
Molecular Therapy-Nucleic Acids 6, 133-139, 2017
Common clonal origin of conventional T cells and induced regulatory T cells in breast cancer patients
M Xydia, R Rahbari, E Ruggiero, I Macaulay, M Tarabichi, R Lohmayer, ...
Nature Communications 12 (1), 1119, 2021
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