Christian Malte Becker

Predicting Endometriosis Status and Menstrual Cycle Phase Using DNA Methylation

This study uses DNA methylation data to predict endometriosis status and menstrual cycle phase, finding strong performance for cycle phase and moderate performance for endometriosis.

An integrated multimodal pan-organ atlas of the female reproductive system across the lifespan contextualises gynaecological pathologies

This paper creates an integrated multimodal atlas of the female reproductive system across the lifespan, identifying cell types and linking them to gynaecological pathologies.

A systems-based approach to uterine fibroids identifies differential splicing associated with abnormal uterine bleeding

The paper integrates multi-omics data from uterine fibroids, myometrium, and endometrium to identify differential splicing and molecular pathways associated with abnormal uterine bleeding.

Atlas-scale metabolic activities inferred from single-cell and spatial transcriptomics

The paper introduces scCellFie, a framework to infer metabolic activities from single-cell and spatial transcriptomics data, revealing organ-specific metabolic programs and disease-associated alterations.

An integrated single-cell reference atlas of the human endometrium

The paper constructs a high-resolution single-cell reference atlas of the human endometrium, identifying cell types, states, and signaling networks, and links them to endometriosis.

The Association between Endometriosis and Immunological diseases

This study investigates the genetic and phenotypic associations between endometriosis and 31 immunological diseases using UK Biobank data, finding significant genetic correlations and a causal link with rheumatoid arthritis.

Global Endometrial DNA Multi-omics Analysis Reveals Insights into mQTL Regulation and Associated Endometriosis Disease Risk

The paper analyzes endometrial DNA methylation and genetic variants to identify mQTLs and their association with endometriosis risk and menstrual cycle phases.

The role of obesity in female reproductive conditions: A Mendelian Randomisation Study

This study uses Mendelian randomisation to investigate the causal effects of obesity on female reproductive conditions, finding that central obesity and metabolic hormones mediate these associations.

Evidence of a causal relationship between genetic tendency to gain muscle mass and uterine leiomyomata

This study identifies 36 novel genetic loci associated with uterine leiomyomata and suggests a causal link between genetic predisposition to increased fat-free mass and UL risk.

Machine Learning based histology phenotyping to investigate epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits

The paper develops a deep learning method for adipocyte phenotyping and finds adipocyte area correlates with BMI but no genome-wide significant genetic associations.

The genetic architecture of sporadic and recurrent miscarriage

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

GWAS meta-analysis highlights the hypothalamic-pituitary-gonadal axis (HPG axis) in the genetic regulation of menstrual cycle length

This study performs a GWAS meta-analysis of menstrual cycle length in European women, confirming the FSHB locus association and identifying four novel signals linked to the HPG axis.

Genome-wide association analysis identifies 27 novel loci associated with uterine leiomyomata revealing common genetic origins with endometriosis