Bradley S. Jermy

Limited overlap between genetic effects on disease susceptibility and disease survival

The paper compares genetic effects on disease susceptibility and progression, finding limited overlap and suggesting larger samples or different progression measures are needed.

Transferability and accuracy of electronic health record-based predictors compared to polygenic scores

This study compares EHR-based phenotype risk scores (PheRS) and polygenic scores (PGS) for predicting 13 diseases, finding they capture independent information and improve prediction when combined.

Evaluation of polygenic scoring methods in five biobanks reveals greater variability between biobanks than between methods and highlights benefits of ensemble learning

This study evaluates polygenic scoring methods across five biobanks and finds that biobank differences outweigh method differences, with ensemble learning improving performance.

Genetic structure of major depression symptoms across clinical and community cohorts

This study identifies genetic subtypes of major depressive symptoms by analyzing data from clinical and community cohorts, finding distinct factors for appetite/weight symptoms and missing data patterns.

Exploring polygenic-environment and residual-environment interactions for depressive symptoms within the UK Biobank

The paper investigates gene-environment interactions for depressive symptoms using UK Biobank data, finding limited polygenic-environment interactions but significant residual-environment interactions.

Methylome-wide association study of early life stressors and adult mental health reveals a relationship between birth date and cell type composition in blood

This study investigates the relationship between early life stressors and adult mental health through methylome-wide association studies, finding no evidence of methylome mediation but linking birth date to blood cell type composition.

Whats in a diagnosis? A genetic decomposition of major depression.

This study investigates how genetic factors vary with different components of major depressive disorder using UK Biobank data, finding that symptom count and duration significantly affect heritability.

Deciphering the causal relationship between blood metabolites and Alzheimers Disease: a Mendelian Randomization study

This study uses Mendelian Randomization to investigate causal relationships between blood metabolites and Alzheimer's Disease, identifying several metabolites as potential causal factors.

Multiple measures of depression to enhance validity of Major Depressive Disorder in the UK Biobank

This study uses multiple depression measures to improve the validity of Major Depressive Disorder cases in the UK Biobank, finding increased genetic contribution with more measures.

Using Major Depression Polygenic Risk Scores to Explore the Depressive Symptom Continuum

This study uses polygenic risk scores for major depression to examine the continuous nature of depressive symptoms across a large UK Biobank sample.