Kate Lawrenson

This study identifies DNA binding and RAD51 interaction interfaces in BRCA1's disordered region and shows their distinct roles in homologous recombination and DNA repair.

This study identifies IL-33 as a key mediator in endometriosis pain and lesion formation through neuroimmune communication involving CGRP and macrophages.

This study identifies M2 macrophages and IL1 signaling as key mediators of endometriosis risk and shows their pleiotropic role in comorbid traits.

This study identifies seven novel genetic loci associated with high-grade serous ovarian cancer risk using a large-scale GWAS and develops polygenic scores for improved risk prediction.

The paper constructs an mRNA-seq atlas of human placenta across gestation, identifying extensive transcriptome changes from first to third trimester.

chromMAGMA identifies candidate risk genes for epithelial ovarian cancer by mapping risk variants to noncoding regulatory elements, revealing new genes and pathways involved in the disease.

The paper identifies sex differences in miRNA expression in first and third trimester human placenta, finding more pronounced dimorphism in the first trimester with twice as many female-specific differences.

This study improves transcriptome-wide association studies by integrating pleiotropy-guided methods with GWAS data to identify new cancer susceptibility genes.

This study profiles single-cell transcriptomes of endometriosis subtypes to identify transcriptional differences and associations with ovarian cancer.

This study uses single-cell transcriptomics to identify gene expression networks in the human fallopian tube, revealing epithelial subtypes and their role in cancer progression.

The paper identifies RCCD1 as a susceptibility gene for breast and ovarian cancer by fine-mapping a risk locus and showing its expression and interaction patterns are associated with cancer risk.

This study shows that DNA methylation and gene expression patterns are preserved in recurrent high grade serous ovarian cancers, with BRCA1/2 carriers showing more shared methylation changes and improved survival.

This study combines genome-wide association data from four cancers to identify shared and novel genetic associations and pleiotropic effects.

This paper introduces RPL, a method to identify RNA-proximal proteins in human cells using CRISPR-Cas13b and APEX2, revealing new insights into RNA interactions and subcellular localization.

The paper identifies allele-specific quantitative trait loci (asQTLs) in RCC, showing their enrichment in GWAS risk loci and linking them to hypoxia pathway interactions.

This study identifies 21 novel candidate susceptibility genes for high grade serous ovarian cancer using transcriptome-wide association analysis across multiple tissue types.

The paper uses transcriptomic and epigenomic profiling to show that high-grade serous ovarian cancers predominantly originate from fallopian tube secretory epithelial cells, with distinct transcription factors driving tumorigenesis based on cell-of-origin.