Triin Laisk

The paper examines sex-specific links between education-related genetic factors and fertility, finding stronger negative associations in women and weaker or positive associations in men, independent of educational attainment.

This paper identifies novel genetic loci and polygenic risk scores for rheumatoid arthritis using a million-participant meta-analysis and shows improved risk prediction with metabolomic integration.

The paper links polygenic risk scores to gut microbiome traits using the Estonian Microbiome Cohort, identifying 282 species-level associations and suggesting microbiome mediation of genetic risk.

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 52 genetic risk loci for female genital tract polyps, highlighting shared susceptibility with endometriosis, fibroids, and endometrial cancer through genome-wide association and Mendelian randomisation.

The paper uses a deep learning pipeline to analyze placental histology and identifies cellular and structural changes across different lesion types.

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 reviews the Estonian Biobank's role in advancing genomics research and personalized medicine through its comprehensive data and translational focus.

This study identifies shared genetic components between thyroid disorders and reproductive health using GWAS and genetic correlation analysis in 743,088 individuals.

This study identifies 8 novel genetic risk loci for psoriasis and finds genetic correlations with socio-economic status and affective symptoms.

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.

This paper identifies six genetic loci associated with circulating anti-Müllerian hormone levels in pre-menopausal women through a GWAS meta-analysis, including novel signals and biological pathway insights.

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.

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

This study evaluates polygenic risk score methods across diverse biobanks and ancestries, finding that European reference panels often yield better performance, while PRS-CS outperforms P+T for high-heritability traits.

HAPPY quantifies cell and tissue variability in placenta histology images, providing metrics that align with clinical experts and reveal deviations in placental infarction.

This paper shows that meta-analysis fine-mapping is often miscalibrated due to cohort heterogeneity and introduces a QC method to identify suspicious loci.

Meta-analysis of harmonized GWAS from up to 18 biobanks (six ancestry groups) across 14 endpoints replicated 320 known loci and identified 188 apparently novel loci.

This paper identifies 19 novel genetic loci associated with pelvic organ prolapse through the largest GWAS to date and presents a polygenic risk score with predictive value for POP risk.

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.

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

This study identifies five genetic risk loci for pernicious anemia through a genome-wide association analysis and links the disease to the HLA-DR15 haplotype.

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.

The paper identifies HLA-B*55:01 as a genetic risk factor for penicillin allergy through genome-wide analysis of electronic health records and imputed HLA data.

This study develops a polygenic and phenotypic risk score for PCOS using EHR data, showing improved detection and identifying shared metabolic and endocrine comorbidities.

The paper identifies ASPHD1 as a key driver of reproductive traits in the 16p11.2 locus using biobank data, Mendelian randomization, and animal models.

This study identifies genetic variants associated with sporadic and recurrent miscarriage through large-scale association analyses and Mendelian randomization.