Dr Gunn-Helen Moen

ARC DECRA Fellow

Institute for Molecular Bioscience

Overview

Dr Gunn-Helen Moen was awarded her PhD on the "Genetic and environmental etiology of glucose metabolism and cardiometabolic traits during pregnancy and in later life" in 2019 from the Faculty of Medicine at the University of Oslo. After finishing her PhD, she was awarded a Mobility/Marie Sklodowska-Curie Fellowship from the Research Council of Norway and as part of that fellowship she spent two years as a visiting academic at the University of Queensland. She is currently an ARC DECRA fellow at IMB. Her research focus is on using Mendelian randomization to investigate the possible causal effects of maternal environmental exposures during pregnancy on offspring outcomes.

Publications

  • Opsahl, J. O., Fragoso-Bargas, N., Lee, Y., Carlsen, E. Ø., Lekanova, N., Qvigstad, E., Sletner, L., Jenum, A. K., Lee-Ødegård, S., Prasad, R. B., Birkeland, K. I., Moen, G-H. and Sommer, C. (2024). Epigenome-wide association study of DNA methylation in maternal blood leukocytes with BMI in pregnancy and gestational weight gain. International Journal of Obesity. doi: 10.1038/s41366-024-01458-x

  • D’Urso, Shannon, Moen, Gunn-Helen, Hwang, Liang-Dar, Hannigan, Laurie J., Corfield, Elizabeth C., Ask, Helga, Johannson, Stefan, Njølstad, Pål Rasmus, Beaumont, Robin N., Freathy, Rachel M., Evans, David M. and Havdahl, Alexandra (2023). Intrauterine growth and offspring neurodevelopmental traits: a Mendelian randomization analysis of the Norwegian mother, father and child cohort study (MoBa). JAMA Psychiatry, 81 (2), 144. doi: 10.1001/jamapsychiatry.2023.3872

  • Beaumont, Robin N., Flatley, Christopher, Vaudel, Marc, Wu, Xiaoping, Chen, Jing, Moen, Gunn-Helen, Skotte, Line, Helgeland, Øyvind, Solé-Navais, Pol, Banasik, Karina, Albiñana, Clara, Ronkainen, Justiina, Fadista, João, Stinson, Sara Elizabeth, Trajanoska, Katerina, Wang, Carol A., Westergaard, David, Srinivasan, Sundararajan, Sánchez-Soriano, Carlos, Bilbao, Jose Ramon, Allard, Catherine, Groleau, Marika, Kuulasmaa, Teemu, Leirer, Daniel J., White, Frédérique, Jacques, Pierre-Étienne, Cheng, Haoxiang, Hao, Ke, Andreassen, Ole A. ... The Early Growth Genetics (EGG) Consortium (2023). Genome-wide association study of placental weight identifies distinct and shared genetic influences between placental and fetal growth. Nature Genetics, 55 (11), 1807-1819. doi: 10.1038/s41588-023-01520-w

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Grants

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Supervision

  • Doctor Philosophy

  • Doctor Philosophy

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Available Projects

  • Depending on the applicant’s level of experience, they will help develop and/or apply statistical genetics approaches to investigate the possible existence of transgenerational effects on human phenotypes, using cohorts such as the Norwegian HUNT cohort (which has a large number of parent-offspring pairs) and UK Biobank. A PhD is about learning new skills and learning how to do research. Our ideal candidate will have knowledge or keen interest in learning genetics, epidemiology, statistics, unix and shell scripting, and statistical software such as R. You will work closely with an experienced researcher on the project. There will also be possibility for a research stay in Norway during this PhD. The advertised projects are fundamentally quantitative and computer-based, and so evidence of aptitude in these areas is essential. The candidate should also have the ability to design, plan, and execute experiments and be proficient in English, both written and oral.

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Publications

Journal Article

Conference Publication

Other Outputs

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

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.

  • Depending on the applicant’s level of experience, they will help develop and/or apply statistical genetics approaches to investigate the possible existence of transgenerational effects on human phenotypes, using cohorts such as the Norwegian HUNT cohort (which has a large number of parent-offspring pairs) and UK Biobank. A PhD is about learning new skills and learning how to do research. Our ideal candidate will have knowledge or keen interest in learning genetics, epidemiology, statistics, unix and shell scripting, and statistical software such as R. You will work closely with an experienced researcher on the project. There will also be possibility for a research stay in Norway during this PhD. The advertised projects are fundamentally quantitative and computer-based, and so evidence of aptitude in these areas is essential. The candidate should also have the ability to design, plan, and execute experiments and be proficient in English, both written and oral.