
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
2022
Conference Publication
Contributions of maternal classical HLA alleles to the risk of miscarriages and stillbirths
Brito Nunes, Caroline, Hwang, Liang-Dar, Wang, Geng, Leggatt, Graham, Moen, Gunn-Helen and Evans, David (2022). Contributions of maternal classical HLA alleles to the risk of miscarriages and stillbirths. Queensland Perinatal Consortium (QPaCt), Brisbane, QLD Australia, 15 December 2022.
2022
Journal Article
Using genomic structural equation modeling to partition the genetic covariance between birthweight and cardiometabolic risk factors into maternal and offspring components in the Norwegian HUNT study
Moen, Gunn-Helen, Nivard, Michel, Bhatta, Laxmi, Warrington, Nicole M., Willer, Cristen, Åsvold, Bjørn Olav, Brumpton, Ben and Evans, David M. (2022). Using genomic structural equation modeling to partition the genetic covariance between birthweight and cardiometabolic risk factors into maternal and offspring components in the Norwegian HUNT study. Behavior Genetics, 53 (1), 1-13. doi: 10.1007/s10519-022-10116-9
2022
Journal Article
Mendelian randomization analysis of factors related to ovulation and reproductive function and endometrial cancer risk
D’Urso, Shannon, Arumugam, Pooja, Weider, Therese, Hwang, Liang-Dar, Bond, Tom A., Kemp, John P., Warrington, Nicole M., Evans, David M., O’Mara, Tracy A. and Moen, Gunn-Helen (2022). Mendelian randomization analysis of factors related to ovulation and reproductive function and endometrial cancer risk. BMC Medicine, 20 (1) 419, 1-17. doi: 10.1186/s12916-022-02585-w
2022
Journal Article
Using adopted individuals to partition indirect maternal genetic effects into prenatal and postnatal effects on offspring phenotypes
Hwang, Liang-Dar, Moen, Gunn-Helen and Evans, David M. (2022). Using adopted individuals to partition indirect maternal genetic effects into prenatal and postnatal effects on offspring phenotypes. eLife, 11 e73671, 1-27. doi: 10.7554/elife.73671
2022
Journal Article
Mendelian randomization study of maternal coffee consumption and its influence on birthweight, stillbirth, miscarriage, gestational age and pre-term birth
Brito Nunes, Caroline, Huang, Peiyuan, Wang, Geng, Lundberg, Mischa, D’Urso, Shannon, Wootton, Robyn E., Borges, Maria Carolina, Lawlor, Deborah A., Warrington, Nicole M., Evans, David M., Hwang, Liang-Dar and Moen, Gunn-Helen (2022). Mendelian randomization study of maternal coffee consumption and its influence on birthweight, stillbirth, miscarriage, gestational age and pre-term birth. International Journal of Epidemiology, 52 (1), 1-13. doi: 10.1093/ije/dyac121
2022
Journal Article
Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes
Pervjakova, Natalia, Moen, Gunn-Helen, Borges, Maria-Carolina, Ferreira, Teresa, Cook, James P., Allard, Catherine, Beaumont, Robin N., Canouil, Mickael, Hatem, Gad, Heiskala, Anni, Joensuu, Anni, Karhunen, Ville, Kwak, Soo Heon, Lin, Frederick T. J., Liu, Jun, Rifas-Shiman, Sheryl, Tam, Claudia H., Tam, Wing Hung, Thorleifsson, Gudmar, Andrew, Toby, Auvinen, Juha, Bhowmik, Bishwajit, Bonnefond, Amelie, Delahaye, Fabien, Demirkan, Ayse, Froguel, Philippe, Haller-Kikkatalo, Kadri, Hardardottir, Hildur, Hummel, Sandra ... Magi, Reedik (2022). Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes. Human Molecular Genetics, 31 (19) ddac050, 3377-3391. doi: 10.1093/hmg/ddac050
2022
Journal Article
Investigating a potential causal relationship between maternal blood pressure during pregnancy and future offspring cardiometabolic health
Wang, Geng, Bhatta, Laxmi, Moen, Gunn-Helen, Hwang, Liang-Dar, Kemp, John P., Bond, Tom A., Åsvold, Bjørn Olav, Brumpton, Ben, Evans, David M. and Warrington, Nicole M. (2022). Investigating a potential causal relationship between maternal blood pressure during pregnancy and future offspring cardiometabolic health. Hypertension, 79 (1), 170-177. doi: 10.1161/hypertensionaha.121.17701
2021
Conference Publication
Investigating a potential causal relationship between maternal blood pressure during pregnancy and future offspring cardiometabolic health
Wang, Geng, Bhatta, Laxmi, Moen, Gunn-Helen, Hwang, Liang-Dar, Kemp, John P., Bond, Tom A., Asvold, Bjorn Olav, Brumpton, Ben, Evans, David M. and Warrington, Nicole M. (2021). Investigating a potential causal relationship between maternal blood pressure during pregnancy and future offspring cardiometabolic health. Behavior Genetics Association 51st Annual Meeting, Online (Zoom), 29 June 2021. New York, United States: Springer.
2021
Conference Publication
Using Adopted Singletons to Partition Maternal Genetic Effects into Pre- and Post-natal Effects on Offspring Phenotype
Hwang, Liang-Dar, Moen, Gunn-Helen and Evans, David M. (2021). Using Adopted Singletons to Partition Maternal Genetic Effects into Pre- and Post-natal Effects on Offspring Phenotype. NEW YORK: SPRINGER.
2021
Conference Publication
Methods for Enabling and Improving the Power of Mendelian Randomization Studies of Parental Environmental Exposures and Offspring Outcomes
Moen, Gunn-Helen, Bhatta, Laxmi, Asvold, Bjorn Olav, Brumpton, Ben, Warrington, Nicole M. and Evans, David M. (2021). Methods for Enabling and Improving the Power of Mendelian Randomization Studies of Parental Environmental Exposures and Offspring Outcomes. NEW YORK: SPRINGER.
2021
Conference Publication
Mendelian randomization study of maternal coffee consumption and its influence on birthweight, stillbirth and miscarriage
Brito Nunes, Caroline, Wang, Geng, Lundberg, Mischa, D’Urso, Shannon, Evans, David, Hwang, Liang-Dar and Moen, Gunn-Helen (2021). Mendelian randomization study of maternal coffee consumption and its influence on birthweight, stillbirth and miscarriage. Princess Alexandra Hospital (PAH) Health Symposium, Brisbane, QLD Australia, 24 - 27 August 2021.
2021
Journal Article
Cohort profile: Epigenetics in Pregnancy (EPIPREG) – Population-based sample of European and South Asian pregnant women with epigenome-wide DNA methylation (850k) in peripheral blood leukocytes
Fragoso-Bargas, Nicolas, Opsahl, Julia O., Kiryushchenko, Nadezhda, Böttcher, Yvonne, Lee-Ødegård, Sindre, Qvigstad, Elisabeth, Richardsen, Kåre Rønn, Waage, Christin W., Sletner, Line, Jenum, Anne Karen, Prasad, Rashmi B., Groop, Leif C., Moen, Gunn-Helen, Birkeland, Kåre I. and Sommer, Christine (2021). Cohort profile: Epigenetics in Pregnancy (EPIPREG) – Population-based sample of European and South Asian pregnant women with epigenome-wide DNA methylation (850k) in peripheral blood leukocytes. PLoS ONE, 16 (8 August) e0256158, 1-15. doi: 10.1371/journal.pone.0256158
2021
Other Outputs
Using adopted individuals to partition maternal genetic effects into prenatal and postnatal effects on offspring phenotypes
Hwang, Liang-Dar, Moen, Gunn-Helen and Evans, David M. (2021). Using adopted individuals to partition maternal genetic effects into prenatal and postnatal effects on offspring phenotypes. doi: 10.1101/2021.08.04.455178
2021
Journal Article
Epigenetic signatures associated with maternal body mass index or gestational weight gain: a systematic review
Opsahl, Julia O., Moen, Gunn-Helen, Qvigstad, Elisabeth, Bottcher, Yvonne, Birkeland, Kare and Sommer, Christine (2021). Epigenetic signatures associated with maternal body mass index or gestational weight gain: a systematic review. Journal of Developmental Origins of Health and Disease, 12 (3) PII S2040174420000811, 373-383. doi: 10.1017/s2040174420000811
2021
Other Outputs
Cohort Profile: Epigenetics in Pregnancy (EPIPREG) – population-based sample of European and South Asian pregnant women living in Norway with epigenome-wide DNA methylation (850k) in peripheral blood leukocytes
Fragoso-Bargas, Nicolas, Opsahl, Julia O., Kiryushchenko, Nadezhda, Böttcher, Yvonne, Lee-Ødegård, Sindre, Qvigstad, Elisabeth, Richardsen, Kåre Rønn, Waage, Christin W., Sletner, Line, Jenum, Anne Karen, Prasad, Rashmi B., Groop, Leif C., Moen, Gunn-Helen, Birkeland, Kåre I. and Sommer, Christine (2021). Cohort Profile: Epigenetics in Pregnancy (EPIPREG) – population-based sample of European and South Asian pregnant women living in Norway with epigenome-wide DNA methylation (850k) in peripheral blood leukocytes. doi: 10.1101/2021.02.08.21251341
2020
Journal Article
Investigating the causal effect of maternal vitamin B12 and folate levels on offspring birthweight
Moen, Gunn-Helen, Beaumont, Robin N., Grarup, Niels, Sommer, Christine, Shields, Beverley M., Lawlor, Deborah A., Freathy, Rachel M., Evans, David M. and Warrington, Nicole M. (2020). Investigating the causal effect of maternal vitamin B12 and folate levels on offspring birthweight. International Journal of Epidemiology, 50 (1), 179-189. doi: 10.1093/ije/dyaa256
2020
Journal Article
A cautionary note on using Mendelian randomization to examine the Barker hypothesis and Developmental Origins of Health and Disease (DOHaD)
D'Urso, Shannon, Wang, Geng, Hwang, Liang-Dar, Moen, Gunn-Helen, Warrington, Nicole M. and Evans, David M. (2020). A cautionary note on using Mendelian randomization to examine the Barker hypothesis and Developmental Origins of Health and Disease (DOHaD). Journal of Developmental Origins of Health and Disease, 12 (5) PII S2040174420001105, 1-6. doi: 10.1017/S2040174420001105
2020
Journal Article
Blood-based epigenetic estimators of chronological age in human adults using DNA methylation data from the Illumina MethylationEPIC array
Lee, Yunsung, Haftorn, Kristine L., Denault, William R. P., Nustad, Haakon E., Page, Christian M., Lyle, Robert, Lee-Ødegård, Sindre, Moen, Gunn-Helen, Prasad, Rashmi B., Groop, Leif C., Sletner, Line, Sommer, Christine, Magnus, Maria C., Gjessing, Håkon K., Harris, Jennifer R., Magnus, Per, Håberg, Siri E., Jugessur, Astanand and Bohlin, Jon (2020). Blood-based epigenetic estimators of chronological age in human adults using DNA methylation data from the Illumina MethylationEPIC array. BMC Genomics, 21 (1) 747, 1-13. doi: 10.1186/s12864-020-07168-8
2020
Conference Publication
Do maternal intrauterine environmental influences that lower offspring birthweight causally increase offspring cardiometabolic risk factors in later life? A Mendelian randomization study of 45,849 genotyped parent offspring pairs in the HUNT study using the OpenMx software
Moen, Gunn-Helen, Brumpton, Ben, Willer, Cristen, Asvold, Bjorn Olav, Birkeland, Kare, Neale, Michael C., Freathy, Rachel M., Smith, George Davey, Lawlor, Deborah A., Kirkpatrick, Robert M., Warrington, Nicole M. and Evans, David M. (2020). Do maternal intrauterine environmental influences that lower offspring birthweight causally increase offspring cardiometabolic risk factors in later life? A Mendelian randomization study of 45,849 genotyped parent offspring pairs in the HUNT study using the OpenMx software. 50th Annual Meeting of the Behavior-Genetics-Association (BGA), Electr Network, Jun 26, 2020. NEW YORK: SPRINGER.
2020
Journal Article
Estimating indirect parental genetic effects on offspring phenotypes using virtual parental genotypes derived from sibling and half sibling pairs
Hwang, Liang-Dar, Tubbs, Justin D., Luong, Justin, Lundberg, Mischa, Moen, Gunn-Helen, Wang, Geng, Warrington, Nicole M., Sham, Pak C., Cuellar-Partida, Gabriel and Evans, David M. (2020). Estimating indirect parental genetic effects on offspring phenotypes using virtual parental genotypes derived from sibling and half sibling pairs. PLoS Genetics, 16 (10) e1009154, e1009154. doi: 10.1371/journal.pgen.1009154
Funding
Current funding
Supervision
Availability
- Dr Gunn-Helen Moen is:
- Available for supervision
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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
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Doctor Philosophy
Understanding the genetic epidemiology of women's reproductive health
Associate Advisor
Other advisors: Professor David Evans
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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
Completed supervision
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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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