Overview
Background
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.
Availability
- Dr Gunn-Helen Moen is:
- Available for supervision
Works
Search Professor Gunn-Helen Moen’s works on UQ eSpace
2026
Conference Publication
Understanding pregnancy- and diabetes-mediated pathways in gestational diabetes
Brito Nunes, Caroline, Eriksson, Nicholas, 23andMe Research Team, GenDIP consortium, Hinds, David, Lawlor, Deborah, Borges, Maria Carolina, Hatton, Alesha, Moen, Gunn-Helen and Evans, David (2026). Understanding pregnancy- and diabetes-mediated pathways in gestational diabetes. Genetics Society of Australasia (GSA) Annual Conference, Brisbane, QLD Australia, 5-8 July 2026.
2026
Conference Publication
Understanding pregnancy- and diabetes-mediated pathways in gestational diabetes
Brito Nunes, Caroline, Eriksson, Nicholas, 23andMe Research Team, GenDIP consortium, Hinds, David, Lawlor, Deborah, Borges, Maria Carolina, Hatton, Alesha, Moen, Gunn-Helen and Evans, David (2026). Understanding pregnancy- and diabetes-mediated pathways in gestational diabetes. European Society of Human Genetics (ESHG), Gothenburg, Sweden, 13-16 June 2026.
2026
Journal Article
Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effects
Brito Nunes, Caroline, Rukins, Valentina, Cisse, Aminata H., White, Frédérique, McBride, Nancy, Kuang, Alan, Allard, Catherine, Ronkainen, Justiina, Hughes, Alice, Elliott, Amanda, Thorleifsson, Gudmar, Vaudel, Marc, Laisk, Triin, Gu, Yuqin, Lamri, Amel, Chen, Li, Tuhkanen, Johanna, Lahti, Jari, Calas, Lucinda, Muntaner, Manon, Karhunen, Ville, Choi, Jaewon, Heiskala, Anni, Hatem, Gad, Fragoso-Bargas, Nicolas, Rifas-Shiman, Sheryl L., Paz-Lopez, Guillermo, Stinson, Sara E., Bhowmik, Bishwajit ... Moen, Gunn-Helen (2026). Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effects. Nature Communications, 17 (1) 4726. doi: 10.1038/s41467-026-73509-y
2026
Journal Article
Dissecting the causal links between acne vulgaris and cardiometabolic health using mendelian randomization
Nunes, Caroline Brito, Simpson, Michael A., Moen, Gunn-Helen and Mitchell, Brittany L. (2026). Dissecting the causal links between acne vulgaris and cardiometabolic health using mendelian randomization. The Journal of Investigative Dermatology. doi: 10.1016/j.jid.2026.05.010
2026
Conference Publication
Investigating the potential causal relationship between parity and long-term maternal cardiometabolic health outcomes
Brito Nunes, Caroline, Fraser, Abigail, Moen, Gunn-Helen, Hatton, Alesha and Evans, David M. (2026). Investigating the potential causal relationship between parity and long-term maternal cardiometabolic health outcomes. GeneMappers, Sydney, NSW Australia, 9-11 March 2026.
2026
Conference Publication
Investigating the potential causal relationship between parity and long-term maternal cardiometabolic health outcomes
Brito Nunes, Caroline, Fraser, Abigail, Moen, Gunn-Helen, Hatton, Alesha and Evans, David M. (2026). Investigating the potential causal relationship between parity and long-term maternal cardiometabolic health outcomes. Australian UK Biobank Research Symposium, Brisbane, QLD Australia, 11-13 February 2026.
2026
Other Outputs
Sex-specific GWAS summary statistics for angina from "Investigating the potential causal relationship between parity and long-term maternal cardiometabolic health outcomes using Mendelian randomization"
Brito Nunes, Caroline, Evans, David, Brito Nunes, Caroline and Moen, Gunn-Helen (2026). Sex-specific GWAS summary statistics for angina from "Investigating the potential causal relationship between parity and long-term maternal cardiometabolic health outcomes using Mendelian randomization". The University of Queensland. (Dataset) doi: 10.48610/6bf12ce
2026
Other Outputs
Sex-specific GWAS summary statistics for basal metabolic rate (BMR) from "Investigating the potential causal relationship between parity and long-term maternal cardiometabolic health outcomes using Mendelian randomization"
Brito Nunes, Caroline, Evans, David, Brito Nunes, Caroline and Moen, Gunn-Helen (2026). Sex-specific GWAS summary statistics for basal metabolic rate (BMR) from "Investigating the potential causal relationship between parity and long-term maternal cardiometabolic health outcomes using Mendelian randomization". The University of Queensland. (Dataset) doi: 10.48610/2ebdb5a
2026
Other Outputs
Sex-specific GWAS summary statistics for myocardial infarction from "Investigating the potential causal relationship between parity and long-term maternal cardiometabolic health outcomes using Mendelian randomization"
Brito Nunes, Caroline, Evans, David, Brito Nunes, Caroline and Moen, Gunn-Helen (2026). Sex-specific GWAS summary statistics for myocardial infarction from "Investigating the potential causal relationship between parity and long-term maternal cardiometabolic health outcomes using Mendelian randomization". The University of Queensland. (Dataset) doi: 10.48610/e0a514f
2026
Other Outputs
Sex-specific GWAS summary statistics for hypertension from "Investigating the potential causal relationship between parity and long-term maternal cardiometabolic health outcomes using Mendelian randomization"
Brito Nunes, Caroline, Evans, David, Brito Nunes, Caroline and Moen, Gunn-Helen (2026). Sex-specific GWAS summary statistics for hypertension from "Investigating the potential causal relationship between parity and long-term maternal cardiometabolic health outcomes using Mendelian randomization". The University of Queensland. (Dataset) doi: 10.48610/441be18
2025
Conference Publication
Multi-ancestral, trans-generational genome-wide association meta-analysis of gestational diabetes mellitus and glycemic traits during pregnancy
Rukins, Valentina, Brito Nunes, Caroline, McBride, Nancy, Cisse, Aminata H., White, Frederique, Moen, Gunn-Helen and Magi, Reedik (2025). Multi-ancestral, trans-generational genome-wide association meta-analysis of gestational diabetes mellitus and glycemic traits during pregnancy. 34th Annual Meeting of the International Genetic Epidemiology Society, Cologne, Germany, 31 August - 2 September 2025. Hoboken, NJ, United States: John Wiley & Sons.
2025
Journal Article
The genetics of low and high birthweight and their relationship with cardiometabolic disease
Moen, Gunn-Helen, Hwang, Liang-Dar, Brito Nunes, Caroline, Warrington, Nicole M. and Evans, David M. (2025). The genetics of low and high birthweight and their relationship with cardiometabolic disease. Diabetologia, 68 (7), 1452-1462. doi: 10.1007/s00125-025-06420-8
2025
Journal Article
Woolf et al’s “GWAS by subtraction” is not useful for cross-generational Mendelian randomization studies
Evans, David M, Smith, George Davey and Moen, Gunn-Helen (2025). Woolf et al’s “GWAS by subtraction” is not useful for cross-generational Mendelian randomization studies. BMC Research Notes, 18 (1) 247. doi: 10.1186/s13104-025-07326-9
2025
Journal Article
Convergent evidence linking neonatal vitamin D status and risk of neurodevelopmental disorders: a Danish case-cohort study
Horsdal, Henriette Thisted, Albiñana, Clara, Zhu, Zhihong, Boelt, Sanne Grundvad, Borbye-Lorenzen, Nis, Cohen, Arieh S., Skogstrand, Kristin, Melgaard, Lars, MacSween, Nadia Jensen, Thorbek, Marta Jadwiga, Plana-Ripoll, Oleguer, Petersen, Liselotte Vogdrup, Bulik, Cynthia M., B⊘rglum, Anders D., Mors, Ole, Nordentoft, Merete, Werge, Thomas, Moen, Gunn-Helen, D'Urso, Shannon, Wray, Naomi R., Vilhjálmsson, Bjarni J., Agerbo, Esben, Pedersen, Carsten B⊘cker, Mortensen, Preben Bo and McGrath, John J. (2025). Convergent evidence linking neonatal vitamin D status and risk of neurodevelopmental disorders: a Danish case-cohort study. The Lancet Psychiatry, 12 (6), 410-420. doi: 10.1016/S2215-0366(25)00099-9
2025
Journal Article
Epigenome-wide association study of objectively measured physical activity in peripheral blood leukocytes
Fragoso-Bargas, Nicolas, Mcbride, Nancy S., Lee-odegard, Sindre, Lawlor, Deborah A., Yousefi, Paul D., Moen, Gunn-Helen, Opsahl, Julia O., Jenum, Anne Karen, Franks, Paul W., Prasad, Rashmi B., Qvigstad, Elisabeth, Birkeland, Kare I., Richardsen, Kare R. and Sommer, Christine (2025). Epigenome-wide association study of objectively measured physical activity in peripheral blood leukocytes. BMC Genomics, 26 (1) 62, 1-11. doi: 10.1186/s12864-025-11262-0
2025
Other Outputs
Ancestry-specific maternal GWAS summary statistics from "Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effects"
Moen, Gunn-Helen, Brito Nunes, Caroline and Evans, David (2025). Ancestry-specific maternal GWAS summary statistics from "Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effects". The University of Queensland. (Dataset) doi: 10.48610/2e6c470
2025
Other Outputs
DINGO summary statistics from "Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effects"
Moen, Gunn-Helen, Brito Nunes, Caroline and Evans, David (2025). DINGO summary statistics from "Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effects". The University of Queensland. (Dataset) doi: 10.48610/ed470a2
2025
Other Outputs
Multi-ancestry maternal GWAS summary statistics from "Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effects"
Moen, Gunn-Helen, Brito Nunes, Caroline and Evans, David (2025). Multi-ancestry maternal GWAS summary statistics from "Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effects". The University of Queensland. (Dataset) doi: 10.48610/0aa6ba4
2024
Journal Article
DINGO: increasing the power of locus discovery in maternal and fetal genome-wide association studies of perinatal traits
Hwang, Liang-Dar, Cuellar-Partida, Gabriel, Yengo, Loic, Zeng, Jian, Toivonen, Jarkko, Arvas, Mikko, Beaumont, Robin N., Freathy, Rachel M., Moen, Gunn-Helen, Warrington, Nicole M. and Evans, David M. (2024). DINGO: increasing the power of locus discovery in maternal and fetal genome-wide association studies of perinatal traits. Nature Communications, 15 (1) 9255, 1-14. doi: 10.1038/s41467-024-53495-9
2024
Journal Article
Mendelian randomization analysis of maternal coffee consumption during pregnancy on offspring neurodevelopmental difficulties in the Norwegian Mother, Father and Child Cohort Study (MoBa)
D'Urso, Shannon, Wootton, Robyn E., Ask, Helga, Brito Nunes, Caroline, Andreassen, Ole A., Hwang, Liang-Dar, Moen, Gunn-Helen, Evans, David M. and Havdahl, Alexandra (2024). Mendelian randomization analysis of maternal coffee consumption during pregnancy on offspring neurodevelopmental difficulties in the Norwegian Mother, Father and Child Cohort Study (MoBa). Psychological Medicine, 54 (12), 1-14. doi: 10.1017/S0033291724002216
Funding
Past funding
Supervision
Availability
- Dr Gunn-Helen Moen is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Available projects
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Testing effect of environmental exposures on subsequent human generations
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.
Supervision history
Current supervision
-
Doctor Philosophy
Understanding the genetic epidemiology of women's reproductive health
Associate Advisor
Other advisors: Professor David Evans
Completed supervision
-
2024
Doctor Philosophy
Harnessing Genetically Informative Within-Family Research Designs for Deeper Insights into the Intrauterine Developmental Period and Downstream Effects on Offspring Neurodevelopmental Outcomes
Associate Advisor
Other advisors: Dr Daniel Hwang, Professor David Evans
Media
Enquiries
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