Dr Dylan Glubb

Honorary Associate Professor

School of Biomedical Sciences
Faculty of Medicine

Overview

After completing his BSc and MSc (Hons) at the University of Canterbury (NZ), Dylan worked for five years as a Research Scientist at Antisoma Research Limited (London, UK), developing antibody-enzyme fusion proteins for cancer therapy. He returned to New Zealand to carry out his PhD research into antidepressant pharmacogenomics at the University of Otago. Afterwards, he continued working at the University of Otago as a Research Fellow, studying the biological function of genes involved with inflammatory bowel disease. Dylan moved to the United States in 2009 to perform postdoctoral training, researching the functional genetics of the VEGF-pathway and its relationship with cancer at the University of Chicago and, subsequently, the University of North Carolina, Chapel Hill.

In 2013, Dylan began working at QIMR Berghofer and has undertaken the functional follow-up of large-scale genetic studies of breast, endometrial and ovarian cancer to identify the likely causal variants and genes that mediate associations with cancer risk and survival. He has been awarded both internal and NHMRC grant funding to support these studies. Since 2019, Dylan has held an Honorary Associate Professorship at UQ

As of early 2021, Dylan has authored one conference report, two editorials, two book chapters, six reviews and 31 original research articles. He is first or last author on 20 of these publications and 27 of his publications have been cited at least 10 times. According to CiteScore, since 2010, 53% of his articles have been published in journals ranked in the top 10% and 19% of hispublications are in the 10% most cited publications worldwide.

Research Interests

  • Gynaecological cancer genetics
    Primarily endometrial cancer
  • Functional genomics of gynaecological cancer

Research Impacts

Large numbers of germline genetic variants have been found to associate with disease. A major roadblock in our understanding of how genetics contribute to disease has been a lack of knowledge of the molecular effects of variants. Thus, the aim of my research program is to use genetic analyses to assign function and gene targets to variants associated with disease-related phenotypes. Dylan's knowledge impact is evidenced by 19 articles, with an average of 27 citations per article and 12 articles in journals in top 10% of their field (e.g. Nature, Nat Genet, Am J Hum Genet). Key impacts include:

•Identifying >30 genes with evidence of targeting by disease-related variants (18 articles)

•Providing support for the new paradigm that multiple variants affect target gene expression at disease loci (Corradin et al. Nat Genet 2016)

•Calibrating a functional assay for diagnostic assessment of Lynch syndrome genetic variants of uncertain significance (Drost et al, Genet Med 2018; in top 2% of articles for online attention)

As evidence of significant influence beyond my field, Dylan’s research has:

•Led (in collaboration with Dr McHugh, University of Huddersfield) to screening of ~400,000 compounds by the European Lead Factory (EU public-private partnership; project #ELFSC13_03), identifying candidates that target ADM receptors for pain/depression therapy

•Been cited in 53 research areas (Web of Science)

As evidence of recognition of Dylan's research program across multiple countries/beneficiaries:

•His articles have been cited by researchers from 1912 institutions from 41 countries (Web of Science) and been downloaded 8,510 times (ScienceDirect)

•6 articles have been mentioned in 72 news stories in 11 countries, 7 have online attention scores in the top 10% (Altmetric)

•Dylan has spoken at 8 international meetings and received 6 international awards, including selection as one of 12 finalists (550 applicants) for the ASHG/Charles J. Epstein Award for Excellence in Human Genetics Research

Publications

View all Publications

Available Projects

  • We and our international Endometrial Cancer Association Consortium collaborators have identified common genetic variation at 16 genomic regions that associates with endometrial cancer risk. Although we have identified potentially causal risk variants, at most regions we do not know which genes these variants target. However, we have conducted global (HiChIP) analyses of DNA looping to identify physical interactions between genes and regulatory elements at endometrial cancer risk regions in endometrial cancer cell lines. These experiments constitute an essential step for the translation of genetic findings into advances in our knowledge of endometrial cancer biology and the identification of potential targets for therapy.

    Aim: To identify high confidence gene regulatory targets of endometrial cancer risk variants using DNA looping analyses and other functional genomic datasets.

    Approach: Depending on the applicant’s expertise, this project could have either a wet-lab and/or a bioinformatics focus. We already have a wealth of endometrial cell DNA looping data that can be coupled with complementary datasets (gene expression, histone modification and transcription factor ChIP-seq) for bioinformatic analyses to prioritise regulatory target genes. To extend our findings from DNA looping analysis of endometrial cell lines, we are also interested in performing analysis of human endometrial organoids from normal, hyperplastic and tumoural endometrium. These organoids should provide experimental systems that better recapitulate the morphological and genomic features of human tissue.

    Outcome: Through the identification of high confidence gene targets at endometrial cancer risk regions, we will gain a deeper understanding of endometrial cancer aetiology and identify potential targets for endometrial cancer therapy.

    TO APPLY FOR THIS PROJECT, PLEASE CONTACT THE PROJECT SUPERVISOR/S

    • A/Professor Tracy O’Mara

      Tracy.OMara@qimrberghofer.edu.au

    • A/Professor Dylan Glubb

      Dylan.Glubb@qimrberghofer.edu.au

  • Endometrial cancer is the most commonly diagnosed invasive gynaecological cancer in developed countries. In contrast with many cancers, the incidence and mortality of endometrial cancer is steadily increasing, largely due to increasing rates of obesity, the strongest risk factor for this disease. Through leadership of the Endometrial Cancer Association Consortium (ECAC), our lab runs the largest genetic study of endometrial cancer. To date, we have identified 16 genetic regions associated with endometrial cancer predisposition by genome-wide association study (GWAS), which account for ~25% of the genetic heritability attributable to common genetic variants (O’Mara et al, Nat Commun 2018). Incorporation of existing GWAS data with newly acquired GWAS datasets from international collaborators will identify further genetic regions associated with endometrial cancer risk. Additionally, we have approved access to large, well-phenotyped international datasets (e.g. UK Biobank, N = 500,000). This allows us unparalleled ability to examine the genetics of endometrial cancer, as well as explore its relationship with risk factors, such as obesity.

    Aims: To identify new genetic risk regions for endometrial cancer, by performing the largest GWAS meta-analysis for this disease. To use computational approaches to identify and explore risk factors of endometrial cancer. To use genetic data to construct and test risk prediction models for endometrial cancer.

    Approaches: This project will use standard GWAS pipelines to identify genetic variants associated with endometrial cancer risk, including imputation, QC and association testing. Post-GWAS analyses to explore novel regions could also be performed (e.g. eQTL analyses, integration with functional genomic datasets). The relationship between endometrial cancer and potential/known risk factors will be performed using approaches such as genetic correlation (LD Score Regression) and Mendelian randomization. Endometrial cancer risk prediction models will be constructed using polygenic risk scores in combination with endometrial cancer environmental risk factors and tested for efficacy in independent datasets.

    TO APPLY FOR THIS PROJECT, PLEASE CONTACT THE PROJECT SUPERVISOR/S

    • A/Professor Tracy O’Mara

      Tracy.OMara@qimrberghofer.edu.au

    • A/Professor Dylan Glubb

      Dylan.Glubb@qimrberghofer.edu.au

View all Available Projects

Publications

Book Chapter

Journal Article

  • Wang, Xuemin, Glubb, Dylan M. and O'Mara, Tracy A. (2022). 10 Years of GWAS discovery in endometrial cancer: Aetiology, function and translation. eBioMedicine, 77 103895, 103895. doi: 10.1016/j.ebiom.2022.103895

  • Canson, Daffodil M., Dumenil, Troy, Parsons, Michael T., O'Mara, Tracy A., Davidson, Aimee L., Okano, Satomi, Signal, Bethany, Mercer, Tim R., Glubb, Dylan M. and Spurdle, Amanda B. (2022). The splicing effect of variants at branchpoint elements in cancer genes. Genetics in Medicine, 24 (2), 398-409. doi: 10.1016/j.gim.2021.09.020

  • Kho, Pik Fang, Wang, Xuemin, Cuéllar-Partida, Gabriel, Dörk, Thilo, Goode, Ellen L., Lambrechts, Diether, Scott, Rodney J., Spurdle, Amanda B., O’Mara, Tracy A. and Glubb, Dylan M. (2021). Multi-tissue transcriptome-wide association study identifies eight candidate genes and tissue-specific gene expression underlying endometrial cancer susceptibility. Communications Biology, 4 (1) 1211, 1211. doi: 10.1038/s42003-021-02745-3

  • Kho, Pik Fang, Mortlock, Sally, Endometrial Cancer Association Consortium , International Endometriosis Genetics Consortium, Rogers, Peter A. W., Nyholt, Dale R., Montgomery, Grant W., Spurdle, Amanda B., Glubb, Dylan M. and O'Mara, Tracy A. (2021). Genetic analyses of gynecological disease identify genetic relationships between uterine fibroids and endometrial cancer, and a novel endometrial cancer genetic risk region at the WNT4 1p36.12 locus. Human Genetics, 140 (9), 1353-1365. doi: 10.1007/s00439-021-02312-0

  • Quinn, Michael CJ, McCue, Karen, Shi, Wei, Johnatty, Sharon E., Beesley, Jonathan, Civitarese, Andrew, O'Mara, Tracy A, Glubb, Dylan M, Tyrer, Jonathan P, Armasu, Sebastian M., Ong, Jue-Sheng, Gharahkhani, Puya, Lu, Yi, Gao, Bo, Patch, Ann-Marie, Fasching, Peter A., Beckmann, Matthias W., Lambrechts, Diether, Vergote, Ignace, Velez Edwards, Digna, Beeghly-Fadiel, Alicia, Benitez, Javier, Garcia, Maria J, Goodman, Marc T., Dork, Thilo, Durst, Matthias, Modugno, Francesmary, Moysich, Kirsten, du Bois, Andreas ... Chenevix-Trench, Georgia (2021). Identification of a locus near ULK1 associated with progression-free survival in ovarian cancer. Cancer Epidemiology Biomarkers and Prevention, 30 (9), 1669-1680. doi: 10.1158/1055-9965.epi-20-1817

  • Zhu, Jingjing, O’mara, Tracy A., Liu, Duo, Setiawan, Veronica Wendy, Glubb, Dylan, Spurdle, Amanda B., Fasching, Peter A., Lambrechts, Diether, Buchanan, Daniel, Kho, Pik Fang, Cook, Linda S., Friedenreich, Christine, Lacey, James V., Chen, Chu, Wentzensen, Nicolas, De Vivo, Immaculata, Sun, Yan, Long, Jirong, Du, Mengmeng, Shu, Xiao-Ou, Zheng, Wei, Wu, Lang and Yu, Herbert (2021). Associations between genetically predicted circulating protein concentrations and endometrial cancer risk. Cancers, 13 (9) 2088. doi: 10.3390/cancers13092088

  • Kho, Pik-Fang, Amant, Frederic, Annibali, Daniela, Ashton, Katie, Attia, John, Auer, Paul L., Beckmann, Matthias W., Black, Amanda, Brinton, Louise, Buchanan, Daniel D., Chanock, Stephen J., Chen, Chu, Chen, Maxine M., Cheng, Timothy H. T., Cook, Linda S., Crous-Bous, Marta, Czene, Kamila, De Vivo, Immaculata, Dennis, Joe, Dörk, Thilo, Dowdy, Sean C., Dunning, Alison M., Dürst, Matthias, Easton, Douglas F., Ekici, Arif B., Fasching, Peter A., Fridley, Brooke L., Friedenreich, Christine M., García-Closas, Montserrat ... O'Mara, Tracy A. (2021). Mendelian randomization analyses suggest a role for cholesterol in the development of endometrial cancer. International Journal of Cancer, 148 (2), 307-319. doi: 10.1002/ijc.33206

  • Glubb, Dylan M, Thompson, Deborah J, Aben, Katja KH, Alsulimani, Ahmad, Amant, Frédéric, Annibali, Daniela, Attia, John, Barricarte, Aurelio, Beckmann, Matthias W., Berchuck, Andrew, Bermisheva, Marina, Bernardini, Marcus Q., Bischof, Katharina, Bjørge, Line, Bodelon, Clara, Brand, Alison H, Brenton, James D., Brinton, Louise A., Bruinsma, Fiona, Buchanan, Daniel D., Burghaus, Stefanie, Bützow, Ralf, Cai, Hui, Carney, Michael E., Chanock, Stephen J., Chen, Chu, Chen, Xiaoqing, Chen, Zhihua, Cook, Linda S. ... O'Mara, Tracy A (2021). Cross-cancer genome-wide association study of endometrial cancer and epithelial ovarian cancer identifies genetic risk regions associated with risk of both cancers. Cancer Epidemiology Biomarkers & Prevention, 30 (1), 217-228. doi: 10.1158/1055-9965.epi-20-0739

  • Canson, Daffodil, Dumenil, Troy, Parsons, Michael, O’Mara, Tracy, Davidson, Aimee , Okano, Satomi , Signal, Bethany , Mercer, Tim, Glubb, Dylan and Spurdle, Amanda (2021). The Impact of Variants at Branchpoint Splicing Elements in Cancer Genes. SSRN Electronic Journal, 24 (2), 398-409. doi: 10.2139/ssrn.3933049

  • Canson, Daffodil, Glubb, Dylan and Spurdle, Amanda B. (2020). Variant effect on splicing regulatory elements, branchpoint usage, and pseudoexonization: strategies to enhance bioinformatic prediction using hereditary cancer genes as exemplars. Human Mutation, 41 (10) humu.24074, 1705-1721. doi: 10.1002/humu.24074

  • Drost, Mark, Tiersma, Yvonne, Glubb, Dylan, Kathe, Scott, van Hees, Sandrine, Calléja, Fabienne, Zonneveld, José B. M., Boucher, Kenneth M., Ramlal, Renuka P. E., Thompson, Bryony A., Rasmussen, Lene Juel, Greenblatt, Marc S., Lee, Andrea, Spurdle, Amanda B., Tavtigian, Sean V. and de Wind, Niels (2020). Two integrated and highly predictive functional analysis-based procedures for the classification of MSH6 variants in Lynch syndrome. Genetics in Medicine, 22 (5), 847-856. doi: 10.1038/s41436-019-0736-2

  • Glubb, Dylan M., Shi, Wei, Beesley, Jonathan, Fachal, Laura, Pritchard, Jayne-Louise, McCue, Karen, Barnes, Daniel R., Antoniou, Antonis C., Dunning, Alison M., Easton, Douglas F. and Chenevix-Trench, Georgia (2020). Candidate causal variants at the 8p12 breast cancer risk locus regulate DUSP4. Cancers, 12 (1) 170, 170. doi: 10.3390/cancers12010170

  • O’Mara, Tracy A., Spurdle, Amanda B. and Glubb, Dylan M. (2019). Analysis of promoter-associated chromatin interactions reveals biologically relevant candidate target genes at endometrial cancer risk loci. Cancers, 11 (10) 1440. doi: 10.3390/cancers11101440

  • Drost, Mark, Tiersma, Yvonne, Thompson, Bryony A., Frederiksen, Jane H., Keijzers, Guido, Glubb, Dylan, Kathe, Scott, Osinga, Jan, Westers, Helga, Pappas, Lisa, Boucher, Kenneth M., Molenkamp, Siska, Zonneveld, José B., van Asperen, Christi J., Goldgar, David E., Wallace, Susan S., Sijmons, Rolf H., Spurdle, Amanda B., Rasmussen, Lene J., Greenblatt, Marc S., de Wind, Niels and Tavtigian, Sean V. (2019). A functional assay–based procedure to classify mismatch repair gene variants in Lynch syndrome. Genetics in Medicine, 21 (7), 1486-1496. doi: 10.1038/s41436-018-0372-2

  • O'Mara, Tracy A., Glubb, Dylan M., Kho, Pik Fang, Thompson, Deborah J. and Spurdle, Amanda B. (2019). Genome-wide association studies of endometrial cancer: latest developments and future directions. Cancer Epidemiology Biomarkers and Prevention, 28 (7), 1095-1102. doi: 10.1158/1055-9965.epi-18-1031

  • Kho, Pik Fang, Glubb, Dylan M., Thompson, Deborah J., Spurdle, Amanda B. and O'Mara, Tracy A. (2019). Assessing the role of selenium in endometrial cancer risk: a Mendelian randomization study. Frontiers in Oncology, 9 182. doi: 10.3389/fonc.2019.00182

  • O'Mara, Tracy A., Batra, Jyotsna and Glubb, Dylan (2019). Editorial: establishing genetic pleiotropy to identify common pharmacological agents for common diseases. Frontiers in Pharmacology, 10 1038. doi: 10.3389/fphar.2019.01038

  • Crona, Daniel J., Skol, Andrew D., Leppänen, Veli-Matti, Glubb, Dylan M., Etheridge, Amy S., Hilliard, Eleanor, Peña, Carol E., Peterson, Yuri K., Klauber-DeMore, Nancy, Alitalo, Kari K. and Innocenti, Federico (2019). Genetic variants of VEGFA and FLT4 are determinants of survival in renal cell carcinoma patients treated with sorafenib. Cancer Research, 79 (1), 231-241. doi: 10.1158/0008-5472.can-18-1089

  • O’Mara, Tracy A., Glubb, Dylan M., Amant, Frederic, Annibali, Daniela, Ashton, Katie, Attia, John, Auer, Paul L., Beckmann, Matthias W., Black, Amanda, Bolla, Manjeet K., Brauch, Hiltrud, Brenner, Hermann, Brinton, Louise, Buchanan, Daniel D., Burwinkel, Barbara, Chang-Claude, Jenny, Chanock, Stephen J., Chen, Chu, Chen, Maxine M., Cheng, Timothy H. T., Clarke, Christine L., Clendenning, Mark, Cook, Linda S., Couch, Fergus J., Cox, Angela, Crous-Bous, Marta, Czene, Kamila, Day, Felix, Dennis, Joe ... Thompson, Deborah J. (2018). Identification of nine new susceptibility loci for endometrial cancer. Nature Communications, 9 (1) 3166, 3166. doi: 10.1038/s41467-018-05427-7

  • Innocenti, Federico, Owzar, Kouros, Jiang, Chen, Etheridge, Amy S., Gordân, Raluca, Sibley, Alexander B., Mulkey, Flora, Niedzwiecki, Donna, Glubb, Dylan, Neel, Nicole, Talamonti, Mark S., Bentrem, David J., Seiser, Eric, Yeh, Jen Jen, Van Loon, Katherine, McLeod, Howard, Ratain, Mark J., Kindler, Hedy L., Venook, Alan P., Nakamura, Yusuke, Kubo, Michiaki, Petersen, Gloria M., Bamlet, William R. and McWilliams, Robert R. (2018). The Vitamin D receptor gene as a determinant of survival in pancreatic cancer patients: Genomic analysis and experimental validation. PLoS One, 13 (8) e0202272, 1-14. doi: 10.1371/journal.pone.0202272

  • Ghoussaini, Maya, Edwards, Stacey L., Michailidou, Kyriaki, Nord, Silje, Cowper-Sal Lari, Richard, Desai, Kinjal, Kar, Siddhartha, Hillman, Kristine M., Kaufmann, Susanne, Glubb, Dylan M., Beesley, Jonathan, Dennis, Joe, Bolla, Manjeet K., Wang, Qin, Dicks, Ed, Guo, Qi, Schmidt, Marjanka K., Shah, Mitul, Luben, Robert, Brown, Judith, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Klevebring, Daniel, Bojesen, Stig E., Nordestgaard, Børge G, Nielsen, Sune F., Flyger, Henrik, Lambrechts, Diether ... Dunning, Alison M. (2018). Erratum: Publisher Correction: Evidence that breast cancer risk at the 2q35 locus is mediated through IGFBP5 regulation (Nature communications (2014) 4 (4999)). Nature communications, 9 (1) 16193. doi: 10.1038/ncomms16193

  • Michailidou, Kyriaki, Lindström, Sara, Dennis, Joe, Beesley, Jonathan, Hui, Shirley, Kar, Siddhartha, Lemaçon, Audrey, Soucy, Penny, Glubb, Dylan, Rostamianfar, Asha, Bolla, Manjeet K, Wang, Qin, Tyrer, Jonathan, Dicks, Ed, Lee, Andrew, Wang, Zhaoming, Allen, Jamie, Keeman, Renske, Eilber, Ursula, French, Juliet D, Qing Chen, Xiao, Fachal, Laura, McCue, Karen, McCart Reed, Amy E, Ghoussaini, Maya, Carroll, Jason S, Jiang, Xia, Finucane, Hilary, Adams, Marcia ... Easton, Douglas F (2017). Association analysis identifies 65 new breast cancer risk loci. Nature, 551 (7678), 92-94. doi: 10.1038/nature24284

  • Glubb, Dylan M., O'Mara, Tracy A., Shamsani, Jannah and Spurdle, Amanda B. (2017). The association of CYP19A1 variation with circulating estradiol and aromatase inhibitor outcome: Can CYP19A1 variants be used to predict treatment efficacy?. Frontiers in Pharmacology, 8 (April) 218, 1-8. doi: 10.3389/fphar.2017.00218

  • Glubb, Dylan M., Johnatty, Sharon E., Quinn, Michael C. J., O'Mara, Tracy A., Tyrer, Jonathan P., Gao, Bo, Fasching, Peter A., Beckmann, Matthias W., Lambrechts, Diether, Vergote, Ignace, Edwards, Digna R. Velez, Beeghly-Fadiel, Alicia, Benitez, Javier, Garcia, Maria J., Goodman, Marc T., Thompson, Pamela J., Dörk, Thilo, Dürst, Matthias, Modungo, Francesmary, Moysich, Kirsten, Heitz, Florian, du Bois, Andreas, Pfisterer, Jacobus, Hillemanns, Peter, Karlan, Beth Y., Lester, Jenny, Goode, Ellen L., Cunningham, Julie M., Winham, Stacey J. ... Chenevix-Trench, Georgia (2017). Analyses of germline variants associated with ovarian cancer survival identify functional candidates at the 1q22 and 19p12 outcome loci. OncoTarget, 8 (39), 64670-64684. doi: 10.18632/oncotarget.18501

  • Cheng, Timothy H. T., Thompson, Deborah J., O'Mara, Tracy A., Painter, Jodie N., Glubb, Dylan M., Flach, Susanne, Lewis, Annabelle, French, Juliet D., Freeman-Mills, Luke, Church, David, Gorman, Maggie, Martin, Lynn, Hodgson, Shirley, Webb, Penelope M., Attia, John, Holliday, Elizabeth G., McEvoy, Mark, Scott, Rodney J., Henders, Anjali K., Martin, Nicholas G., Montgomery, Grant W., Nyholt, Dale R., Ahmed, Shahana, Healey, Catherine S., Shah, Mitul, Dennis, Joe, Fasching, Peter A., Beckmann, Matthias W., Hein, Alexander ... Spurdle, Amanda B. (2016). Five endometrial cancer risk loci identified through genome-wide association analysis. Nature Genetics, 48 (6), 667-674. doi: 10.1038/ng.3562

  • Thompson, Deborah J., O'Mara, Tracy A., Glubb, Dylan M., Painter, Jodie N., Cheng, Timothy, Folkerd, Elizabeth, Doody, Deborah, Dennis, Joe, Webb, Penelope M., Gorman, Maggie, Martin, Lynn, Hodgson, Shirley, Michailidou, Kyriaki, Tyrer, Jonathan P., Maranian, Mel J., Hall, Per, Czene, Kamila, Darabi, Hatef, Li, Jingmei, Fasching, Peter A., Hein, Alexander, Beckmann, Matthias W., Ekici, Arif B., Doerk, Thilo, Hillemanns, Peter, Duerst, Matthias, Runnebaum, Ingo, Zhao, Hui, Depreeuw, Jeroen ... Spurdle, Amanda B. (2016). CYP19A1 fine-mapping and Mendelian randomization: estradiol is causal for endometrial cancer. Endocrine-Related Cancer, 23 (2), 77-91. doi: 10.1530/ERC-15-0386

  • O'Mara, Tracy A., Glubb, Dylan M., Painter, Jodie N., Cheng, Timothy, Dennis, Joe, Attia, John, Holliday, Elizabeth G., McEvoy, Mark, Scott, Rodney J., Ashton, Katie, Proietto, Tony, Otton, Geoffrey, Shah, Mitul, Ahmed, Shahana, Healey, Catherine S., Gorman, Maggie, Martin, Lynn, Hodgson, Shirley, Fasching, Peter A., Hein, Alexander, Beckmann, Matthias W., Ekici, Arif B., Hall, Per, Czene, Kamila, Darabi, Hatef, Li, Jingmei, Duerst, Matthias, Runnebaum, Ingo, Hillemanns, Peter ... Spurdle, Amanda B. (2015). Comprehensive genetic assessment of the ESR1 locus identifies a risk region for endometrial cancer. Endocrine-Related Cancer, 22 (5), 851-861. doi: 10.1530/ERC-15-0319

  • Glubb, Dylan M., Paré-Brunet, Laia, Jantus-Lewintre, Eloisa, Jiang, Chen, Crona, Daniel, Etheridge, Amy S., Mirza, Osman, Zhang, Wei, Seiser, Eric L., Rzyman, Witold, Jassem, Jacek, Auman, Todd, Hirsch, Fred R., Owzar, Kouros, Camps, Carlos, Dziadziuszko, Rafal and Innocenti, Federico (2015). Functional FLT1 genetic variation is a prognostic factor for recurrence in Stage I-III non-small-cell lung cancer. Journal of Thoracic Oncology, 10 (7), 1067-1075. doi: 10.1097/JTO.0000000000000549

  • Glubb, Dylan, Maranian, Mel J., Michailidou, Kyriaki, Pooley, Karen A., Meyer, Kerstin, Kar, Siddhartha, Carlebur, Saskia, O'Reilly, Martin, Betts, Joshua A., Hillman, Kristine M., Kaufmann, Susanne, Beesley, Jonathan, Canisius, Sander, Hopper, John L., Southey, Melissa C., Tsimiklis, Helen, Apicella, Carmel, Schmidt, Marjanka K., Broeks, Annegien, Hogervorst, Frans B., van der Schoot, C. Ellen, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, Pornthep, Fasching, Peter, Ruebner, Matthias, Ekici, Arif B., Beckmann, Matthias W. ... French, Juliet D. (2015). Fine-scale mapping of the 5q11.2 breast cancer locus reveals at least three independent risk variants regulating MAP3K1. American Journal of Human Genetics, 96 (1), 5-20. doi: 10.1016/j.ajhg.2014.11.009

  • Ghoussaini, Maya, Edwards, Stacey L., Michailidou, Kyriaki, Nord, Silje, Lari, Richard Cowper-Sal, Desai, Kinjal, Kar, Siddhartha, Hillman, Kristine M., Kaufmann, Susanne, Glubb, Dylan M., Beesley, Jonathan, Dennis, Joe, Bolla, Manjeet K., Wang, Qin, Dicks, Ed, Guo, Qi, Schmidt, Marjanka K., Shah, Mitul, Luben, Robert, Brown, Judith, Czene, Kamila, Darabi, Hatef, Eriksson, Mikael, Klevebring, Daniel, Bojesen, Stig E., Nordestgaard, Borge G., Nielsen, Sune F., Flyger, Henrik, Lambrechts, Diether ... Dunning, Alison M. (2014). Evidence that breast cancer risk at the 2q35 locus is mediated through IGFBP5 regulation. Nature Communications, 5 (1) 4999, 4999.1-4999.12. doi: 10.1038/ncomms5999

  • Paré-Brunet, Laia, Glubb, Dylan, Evans, Patrick, Berenguer-Llergo, Antoni, Etheridge, Amy S., Skol, Andrew D., Di Rienzo, Anna, Duan, Shiwei, Gamazon, Eric R. and Innocenti, Federico (2014). Discovery and functional assessment of gene variants in the vascular endothelial growth factor pathway. Human Mutation, 35 (2), 227-235. doi: 10.1002/humu.22475

  • Glubb, Dylan M., Paugh, Steven W., Van Schaik, Ron H. N. and Innocenti, Federico (2013). A guide to the current web-based resources in pharmacogenomics. Methods in Molecular Biology, 1015, 293-310. doi: 10.1007/978-1-62703-435-7_19

  • Glubb, Dylan M. and Innocenti, Federico (2013). Architecture of pharmacogenomic associations: Structures with functional foundations or castles made of sand?. Pharmacogenomics, 14 (1), 1-4. doi: 10.2217/pgs.12.188

  • Glubb, Dylan M., Dholakia, Neepa and Innocenti, Federico (2012). Liver expression quantitative trait loci: A foundation for pharmacogenomic research. Frontiers in Genetics, 3 (AUG) Article 153. doi: 10.3389/fgene.2012.00153

  • Innocenti, Federico, Owzar, Kouros, Cox, Nancy L., Evans, Patrick, Kubo, Michiaki, Zembutsu, Hitoshi, Jiang, Chen, Hollis, Donna, Mushiroda, Taisei, Li, Liang, Friedman, Paula, Wang, Liewei, Glubb, Dylan, Hurwitz, Herbert, Giacomini, Kathleen M., McLeod, Howard L., Goldberg, Richard M., Schilsky, Richard L., Kindler, Hedy L., Nakamura, Yusuke and Ratain, Mark J. (2012). A genome-wide association study of overall survival in pancreatic cancer patients treated with gemcitabine in CALGB 80303. Clinical Cancer Research, 18 (2), 577-584. doi: 10.1158/1078-0432.CCR-11-1387

  • Glubb, Dylan M., Cerri, Elisa, Giese, Alexandra, Zhang, Wei, Mirza, Osman, Thompson, Emma E., Chen, Peixian, Das, Soma, Jassem, Jacek, Rzyman, Witold, Lingen, Mark W., Salgia, Ravi, Hirsch, Fred R., Dziadziuszko, Rafal, Ballmer-Hofer, Kurt and Innocenti, Federico (2011). Novel functional germline variants in the VEGF receptor 2 gene and their effect on gene expression and microvessel density in lung cancer. Clinical Cancer Research, 17 (16), 5257-5267. doi: 10.1158/1078-0432.CCR-11-0379

  • Glubb, Dylan M. and Innocenti, Federico (2011). Mechanisms of genetic regulation in gene expression: Examples from drug metabolizing enzymes and transporters. Wiley Interdisciplinary Reviews: Systems Biology and Medicine, 3 (3), 299-313. doi: 10.1002/wsbm.125

  • Glubb, Dylan M, Gearry, Richard B, Barclay, Murray L, Roberts, Rebecca L, Pearson, John, Keenan, Jacqui I, Mckenzie, Judy and Bentley, Robert W. (2011). NOD2 and ATG16L1 polymorphisms affect monocyte responses in crohn's disease. World Journal of Gastroenterology, 17 (23), 2829-2837. doi: 10.3748/wjg.v17.i23.2829

  • McHugh, P. C., Rogers, G. R., Glubb, D. M., Joyce, P. R. and Kennedy, M. A. (2010). Proteomic analysis of rat hippocampus exposed to the antidepressant paroxetine. Journal of Psychopharmacology, 24 (8), 1243-1251. doi: 10.1177/0269881109102786

  • Glubb, D. M., McHugh, P. C., Deng, X., Joyce, P. R. and Kennedy, M. A. (2010). Association of a functional polymorphism in the adrenomedullin gene (ADM) with response to paroxetine. Pharmacogenomics Journal, 10 (2), 126-133. doi: 10.1038/tpj.2009.33

  • Glubb, Dylan M., Joyce, Peter R. and Kennedy, Martin A. (2009). Expression and association analyses of promoter variants of the neurogenic gene HES6, a candidate gene for mood disorder susceptibility and antidepressant response. Neuroscience Letters, 460 (2), 185-190. doi: 10.1016/j.neulet.2009.05.065

  • McHugh, Patrick C., Rogers, Geraldine R., Loudon, Barbara, Glubb, Dylan M., Joyce, Peter R. and Kennedy, Martin A. (2008). Proteomic analysis of embryonic stem cell-derived neural cells exposed to the antidepressant paroxetine. Journal of Neuroscience Research, 86 (2), 306-316. doi: 10.1002/jnr.21482

  • McHugh, Patrick C., Rogers, Geraldine R., Glubb, Dylan M., Allington, Melanie D., Hughes, Mark, Joyce, Peter R. and Kennedy, Martin A. (2008). Downregulation of Ccnd1 and Hes6 in rat hippocampus after chronic exposure to the antidepressant paroxetine. Acta Neuropsychiatrica, 20 (6), 307-313. doi: 10.1111/j.1601-5215.2008.00334.x

  • Carrey, E. A., Dietz, C., Glubb, D. M., Löffler, M., Lucocq, J. M. and Watson, P. F. (2002). Detection and location of the enzymes of de novo pyrimidine biosynthesis in mammalian spermatozoa. Reproduction, 123 (6), 757-768. doi: 10.1530/rep.0.1230757

  • Gieseg, S. P., Whybrow, J., Glubb, D. and Rait, C. (2001). Protection of U937 cells from free radical damage by the macrophage synthesized antioxidant 7,8-dihydroneopterin. Free Radical Research, 35 (3), 311-318. doi: 10.1080/10715760100300841

  • Gieseg, S. P., Maghzal, G. and Glubb, D. (2001). Protection of erythrocytes by the macrophage synthesized antioxidant 7,8 dihydroneopterin. Free Radical Research, 34 (2), 123-136. doi: 10.1080/10715760100300121

  • Gieseg, S. P., Maghzal, G. and Glubb, D. (2000). Inhibition of haemolysis by the macrophage synthesized antioxidant, 7,8- dihydroneopterin. Redox Report, 5 (2-3), 98-100. doi: 10.1179/135100000101535645

Conference Publication

  • Alkelai, Anna, Baum, Amber, Carless, Melanie, Crowley, James, DasBanerjee, Tania, Dempster, Emma, Docherty, Sophia, Hare, Elizabeth, Galsworthy, Michael J., Grover, Deepak, Glubb, Dylan, Karlsson, Robert, Mill, Jonathan, Sen, Srijan, Quinones, Marlon P., Vallender, Eric J., Verma, Ranjana, Vijayan, Neethan, Villafuerte, Sandra, Voineskos, Aristotle N., Volk, Heather, Yu, Lan, Zimmermann, Petra and DeLisi, Lynn E. (2008). The XVth World Congress of Psychiatric Genetics, October 7-11, 2007: Rapporteur summaries of oral presentations. doi: 10.1002/ajmg.b.30711

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • We and our international Endometrial Cancer Association Consortium collaborators have identified common genetic variation at 16 genomic regions that associates with endometrial cancer risk. Although we have identified potentially causal risk variants, at most regions we do not know which genes these variants target. However, we have conducted global (HiChIP) analyses of DNA looping to identify physical interactions between genes and regulatory elements at endometrial cancer risk regions in endometrial cancer cell lines. These experiments constitute an essential step for the translation of genetic findings into advances in our knowledge of endometrial cancer biology and the identification of potential targets for therapy.

    Aim: To identify high confidence gene regulatory targets of endometrial cancer risk variants using DNA looping analyses and other functional genomic datasets.

    Approach: Depending on the applicant’s expertise, this project could have either a wet-lab and/or a bioinformatics focus. We already have a wealth of endometrial cell DNA looping data that can be coupled with complementary datasets (gene expression, histone modification and transcription factor ChIP-seq) for bioinformatic analyses to prioritise regulatory target genes. To extend our findings from DNA looping analysis of endometrial cell lines, we are also interested in performing analysis of human endometrial organoids from normal, hyperplastic and tumoural endometrium. These organoids should provide experimental systems that better recapitulate the morphological and genomic features of human tissue.

    Outcome: Through the identification of high confidence gene targets at endometrial cancer risk regions, we will gain a deeper understanding of endometrial cancer aetiology and identify potential targets for endometrial cancer therapy.

    TO APPLY FOR THIS PROJECT, PLEASE CONTACT THE PROJECT SUPERVISOR/S

    • A/Professor Tracy O’Mara

      Tracy.OMara@qimrberghofer.edu.au

    • A/Professor Dylan Glubb

      Dylan.Glubb@qimrberghofer.edu.au

  • Endometrial cancer is the most commonly diagnosed invasive gynaecological cancer in developed countries. In contrast with many cancers, the incidence and mortality of endometrial cancer is steadily increasing, largely due to increasing rates of obesity, the strongest risk factor for this disease. Through leadership of the Endometrial Cancer Association Consortium (ECAC), our lab runs the largest genetic study of endometrial cancer. To date, we have identified 16 genetic regions associated with endometrial cancer predisposition by genome-wide association study (GWAS), which account for ~25% of the genetic heritability attributable to common genetic variants (O’Mara et al, Nat Commun 2018). Incorporation of existing GWAS data with newly acquired GWAS datasets from international collaborators will identify further genetic regions associated with endometrial cancer risk. Additionally, we have approved access to large, well-phenotyped international datasets (e.g. UK Biobank, N = 500,000). This allows us unparalleled ability to examine the genetics of endometrial cancer, as well as explore its relationship with risk factors, such as obesity.

    Aims: To identify new genetic risk regions for endometrial cancer, by performing the largest GWAS meta-analysis for this disease. To use computational approaches to identify and explore risk factors of endometrial cancer. To use genetic data to construct and test risk prediction models for endometrial cancer.

    Approaches: This project will use standard GWAS pipelines to identify genetic variants associated with endometrial cancer risk, including imputation, QC and association testing. Post-GWAS analyses to explore novel regions could also be performed (e.g. eQTL analyses, integration with functional genomic datasets). The relationship between endometrial cancer and potential/known risk factors will be performed using approaches such as genetic correlation (LD Score Regression) and Mendelian randomization. Endometrial cancer risk prediction models will be constructed using polygenic risk scores in combination with endometrial cancer environmental risk factors and tested for efficacy in independent datasets.

    TO APPLY FOR THIS PROJECT, PLEASE CONTACT THE PROJECT SUPERVISOR/S

    • A/Professor Tracy O’Mara

      Tracy.OMara@qimrberghofer.edu.au

    • A/Professor Dylan Glubb

      Dylan.Glubb@qimrberghofer.edu.au