Gunn-Helen Moen

This study conducts a GWAS meta-analysis of stuttering, identifying genetic links with speech disorders and highlighting shared genetic architecture across different ascertainment methods.

The paper conducts a multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycemic traits, identifying novel loci and highlighting limited pregnancy-specific genetic effects.

DINGO improves locus discovery in GWAS of perinatal traits by combining maternal and fetal GWAS data through meta-analysis and novel statistical tests, identifying more genetic loci than separate analyses.

This study identifies 40 genetic loci associated with placental weight using GWAS in 179,025 children and parents, revealing shared and distinct genetic influences with fetal growth.

This study identifies genetic loci associated with gestational duration and preterm delivery, showing maternal and fetal genetic effects and antagonistic pleiotropy with birth weight.

The paper conducts an epigenome-wide association study of serum folate in maternal blood, identifying three CpG sites associated with folate levels and some cardiometabolic traits.

This paper uses structural equation modeling to partition maternal genetic effects into prenatal and postnatal components using adoption data from the UK Biobank.

EPIPREG collects DNA methylation data from pregnant women in Norway to study associations with cardiometabolic traits and ethnic disparities in health.

This study uses Mendelian Randomization to assess the causal effect of maternal vitamin B12 and folate on offspring birthweight, finding a positive causal effect for folate but not for B12.

This paper estimates indirect parental genetic effects on offspring phenotypes using virtual parental genotypes derived from sibling and half-sibling pairs, demonstrating the feasibility of this approach with GWAS data.

This study identifies genetic effects on birth weight and their impact on cardio-metabolic traits, distinguishing fetal and maternal contributions.