Expanding the genetic landscape of endometriosis: Integrative -omics analyses implicate key genes and pathways in a multi-ancestry study of over one million women.
We report the findings of a genome-wide association study (GWAS) meta-analysis of endometriosis across 14 biobanks worldwide, including 32% non-European patient participants, as part of the Global Biobank Meta-Analysis Initiative …
Bidirectional Mendelian randomization and cross-sectional study reveal depression as a causal risk factor for endometriosis.
Endometriosis (EMs) and depression are both common conditions that have a significant negative impact on quality of life. However, it is still unclear about the relationship between them. The study …
Proteome-wide Mendelian randomization identifies β-nerve growth factor as a target for endometriosis.
Endometriosis is a chronic inflammatory disorder with poorly understood mechanisms. Inflammatory proteins are hypothesized to play a causal role, but evidence remains limited. We performed a 2-sample Mendelian randomization study …
Register and biobank on influence of assisted reproduction on pregnancy, maternal and neonatal outcome : A prospective multicenter medical data register and biobank.
Infertility affects 10-15% of couples worldwide. In Austria, the In Vitro Fertilization Fund supports assisted reproductive technology under specific conditions. While assisted reproductive technology is generally effective, its impact on …
The Translation and Cross-Cultural Adaptation of The Persian Version of The WERF EPHect Endometriosis Patient Questionnaire: A Cross-Sectional Study.
The World Endometriosis Research Foundation (WERF) Endometriosis Phenome and Biobanking Harmonisation Project (EPHect) aims to facilitate international research on endometriosis by developing a standardized questionnaire. This study focuses on translating …
Correction to: WERF Endometriosis Phenome and Biobanking Harmonisation Project for Experimental Models in Endometriosis Research (EPHect-EM-Homologous): homologous rodent models.
Correction to: WERF Endometriosis Phenome and Biobanking Harmonisation Project for Experimental Models in Endometriosis Research (EPHect-EM-Heterologous): heterologous rodent models.
DRIVE-KG: Enhancing variant-phenotype association discovery in understudied complex diseases using heterogeneous knowledge graphs.
Multi-omics data are instrumental in obtaining a comprehensive picture of complex biological systems. This is particularly useful for women's health conditions, such as endometriosis which has been historically understudied despite …
Associations between biological aging and the risk of endometriosis: Evidence from a large population-based prospective cohort study.
Endometriosis is a common disease for women of reproductive ages. Individuals with accelerated biological aging are at a higher risk of developing various diseases, however, the effect of biological aging …