Roger Laughlin Milne

The paper identifies a causal epigenetic link between TRIM61 methylation and age at menarche through genome-wide DNA methylation analysis and Mendelian randomisation.

The paper uses case-control data from over 400,000 women to classify BRCA1 and BRCA2 variants, finding high consistency with ClinVar annotations for 785 previously unclassified variants.

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.

This study analyzes 17,425 breast cancer families to assess genetic factors contributing to familial risk, finding a recessive risk component and polygenic factors explain residual familial variance.

This study identifies CpG sites associated with BMI and shows that epigenetic BMI prediction correlates with metabolic health markers.

The paper assesses breast cancer risks linked to rare missense variants in five susceptibility genes using logistic and mixture models, finding varying risk contributions across genes.

The paper identifies breast cancer risk variants associated with tumor subtypes and shows their differential effects on luminal and non-luminal subtypes.

This study evaluates a polygenic risk score for breast cancer in women aged 70 and older, finding it improves risk prediction beyond conventional factors.

The paper analyzes rare copy number variants (CNVs) in breast cancer cases and controls, identifying associations with known and novel susceptibility loci.

This study identifies 13 new genetic loci specific to proximal or distal colorectal cancer subtypes, revealing partly distinct genetic architectures for these tumor locations.

This study investigates the causes of variation in DNA methylation age across the lifespan, finding that environmental factors, particularly shared ones, are the main drivers.

This study assesses polygenicity and risk prediction using common variants across 14 cancers, finding varying numbers of susceptibility variants and risk score effectiveness.

This study identifies 137 genome-wide significant loci associated with DNA methylation biomarkers of ageing using DNAm and SNP data from over 41,000 individuals.

This study uses Mendelian randomization to show that higher physical activity levels are associated with lower risks of breast and colorectal cancer.

This study identifies novel DNA methylation associations with smoking, replicates previous findings, and shows significant reversibility of methylation changes after smoking cessation.

This study investigates the association between CpG methylation and educational attainment, finding limited significant associations that may be influenced by confounding factors.