Lisette J. A. Kogelman

This study shows that menstrual phase length variation is linked to daily symptom intensity, highlighting the need for individualized baseline assessments rather than fixed phase assumptions.

This paper uses a polygenic risk score to show that genetic liability for endometriosis is linked to pain, inflammatory, and metabolic traits in both sexes.

The paper introduces a deep learning framework for polygenic risk score prediction, showing improved performance over traditional methods for various diseases.

This GWAS identifies 123 migraine risk loci, including subtype-specific variants and novel targets, supporting neurovascular mechanisms in migraine.

The paper identifies rare variants in the ASTN2 locus associated with migraine, independent of GWAS findings, and proposes a role for Polycomb Response Elements in migraine etiology.

The paper investigates gene expression changes during spontaneous migraine attacks and identifies differentially expressed genes and pathways associated with migraine pathophysiology.

This study identifies cell types associated with brain complex traits using GWAS and single-cell transcriptomics, revealing novel roles for oligodendrocytes in Parkinson's disease.