O
Oliver Hofmann
Researcher at University of Melbourne
Publications - 113
Citations - 18736
Oliver Hofmann is an academic researcher from University of Melbourne. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 38, co-authored 104 publications receiving 15366 citations. Previous affiliations of Oliver Hofmann include University of Bergen & University of Cologne.
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Journal ArticleDOI
A comprehensive promoter landscape identifies a novel promoter for CD133 in restricted tissues, cancers, and stem cells
Ramakrishna Sompallae,Oliver Hofmann,Christopher G. Maher,Craig Gedye,Andreas Behren,Morana Vitezic,Carsten O. Daub,Sylvie Devalle,Otavia L. Caballero,Piero Carninci,Yoshihide Hayashizaki,Elizabeth R. Lawlor,Jonathan Cebon,Winston Hide +13 more
TL;DR: A novel proximal promoter (P6) is identified within CD133+ melanoma cell lines and stem cells and is enriched with respect to previously characterized PROM1 promoters for a HMGI/Y (HMGA1) family transcription factor binding site motif and exhibits different epigenetic modifications relative to the canonical promoter region ofPROM1.
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A two-state analysis of co-operative oxygen binding in the three human embryonic haemoglobins.
TL;DR: Fast-reaction studies have been used to determine the rate constants of the oxygen association and dissociation processes occurring in the R-state and the rate of the allosteric R > T conformational transition and suggest a likely reason for the high affinity and low co-operativity of the embryonic proteins.
Posted ContentDOI
Cancer Predisposition Sequencing Reporter (CPSR): a flexible variant report engine for germline screening in cancer
Sigve Nakken,Sigve Nakken,Vladislav Saveliev,Vladislav Saveliev,Oliver Hofmann,Oliver Hofmann,Pål Møller,Ola Myklebost,Ola Myklebost,Ola Myklebost,Eivind Hovig,Eivind Hovig +11 more
TL;DR: The Cancer Predisposition Sequencing Reporter (CPSR), an open-source computational workflow that generates a structured report of germline variants identified in known cancer predisposition genes, highlighting markers of therapeutic, prognostic, and diagnostic relevance, demonstrates superior sensitivity and comparable specificity for the detection of pathogenic variants when compared to existing algorithms.
Journal ArticleDOI
Deep targeted sequencing of 12 breast cancer susceptibility regions in 4611 women across four different ethnicities
Sara Lindström,Sara Lindström,Akweley Ablorh,Brad Chapman,Alexander Gusev,Gary Chen,Constance Turman,A. Heather Eliassen,Alkes L. Price,Brian E. Henderson,Loic Le Marchand,Oliver Hofmann,Christopher A. Haiman,Peter Kraft +13 more
TL;DR: This study illustrates some of the challenges faced in fine-mapping studies in the post-GWAS era, most importantly the large sample sizes needed to identify rare-variant associations or to distinguish the effects of strongly correlated common SNVs.
Journal ArticleDOI
Prioritizing genes of potential relevance to diseases affected by sex hormones: an example of Myasthenia Gravis
Mandeep Kaur,Sebastian Schmeier,Cameron Ross MacPherson,Oliver Hofmann,Winston Hide,Stephen S. Taylor,Nick Willcox,Vladimir B. Bajic +7 more
TL;DR: The ab-initio approach outperforms the other methods for prioritizing disease-associated genes under the potential control of sex hormones and has a potential to be adapted to prioritize genes relevant to other diseases.