Hannele M. Laivuori

The paper identifies PE-dependent genetic regulation at promoters using cis-eQTL analysis of placental RNA sequencing data from the FINNPEC cohort.

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.

This study identifies maternal and fetal genetic contributions to preeclampsia through genome-wide association analyses, revealing distinct genetic architectures and biological pathways.

This study identifies 21 infertility loci and over 400 reproductive hormone loci through GWAS across multiple cohorts, finding limited genetic correlation between reproductive hormones and infertility.

The paper identifies genetic loci associated with female infertility through a GWAS, revealing a rare recessive mutation in TBPL2 and age-dependent risk factors.

This study identifies 31 plasma proteins and expands genetic loci associated with PCOS, highlighting metabolic and hormonal influences and polygenic risk effects on cardio-metabolic outcomes.

The paper identifies five genetic loci associated with postpartum hemorrhage through a meta-analysis and links them to progesterone receptor binding sites and related traits.

The paper demonstrates the feasibility of conducting clinical recall studies from the FinnGen biobank to collect customized clinical data from participants with Alzheimer's disease or mild cognitive disorder.

This study conducts a GWAS of preeclampsia and hypertensive disorders of pregnancy, identifying 18 genome-wide significant loci, including novel associations with blood pressure and placental function.

This study identifies 19 genetic loci associated with gestational duration and spontaneous preterm birth, including seven novel loci, and highlights potential biological mechanisms and tissue-specific effects.

Finnish-enriched low-frequency variants, often coding, underlie many GWAS signals across 1,932 register endpoints in 218,792 Finns; a 15-disease meta-analysis with Estonian and UK biobanks adds 30 unreported associations.

The paper integrates multiomics and digital health data from 96 individuals over 16 months to identify independent molecular factors linked to health outcomes and lifestyle changes.

This study identifies three novel low-frequency variants associated with PCOS using a Finnish-Estonian GWAS, highlighting the value of population-specific genetic analysis.

The paper performs a GWAS meta-analysis of cervical cancer and links it to reproductive tract development, immune response, and cellular proliferation/apoptosis, while also identifying genetic risk factors for other cervical phenotypes.

This study identifies DNA methylation sites at birth associated with ADHD symptoms later in childhood, but finds no such associations at school age.

The paper examines how genetic and environmental factors influence DNA methylation at variably methylated regions in neonatal blood, finding that combined effects best explain methylation variability.

Exome sequencing in Finnish populations identifies rare trait-associated alleles with higher frequencies and geographical clustering, revealing 30 novel associations with quantitative traits.

The paper conducts GWAS and PheWAS on plasma lipid species to identify genetic associations and their links to diseases beyond traditional lipid measures.