Cathryn M. Lewis

Atypical energy-related symptoms define biologically distinct subtypes of major depressive disorder

The paper identifies biologically distinct subtypes of MDD based on energy-related symptoms and finds genetic and metabolic differences between them.

Trans-ancestry genome-wide association meta-analysis of antidepressant response to selective serotonin reuptake inhibitors in clinical studies of depression

This study performs a trans-ancestry GWAS of SSRI response in depression, finding suggestive associations and enrichment in serotonergic pathways but no genome-wide significant variants.

Cohort Profile: Investigating Antidepressant Response within Generation Scotland

The paper describes the AMBER program's cohort profile, collecting questionnaire data on antidepressant response from Generation Scotland participants to develop phenotypes and link with biological data.

Clustering of major depressive disorder genetic instruments identifies distinct and directionally opposing effects on cardiometabolic risk

This study uses MR-Clust to identify three MDD genetic clusters with opposing effects on T2D and cardiometabolic risk, linking them to distinct biological pathways and depression subtypes.

Estimating Disorder Probability Based on Polygenic Prediction Using the BPC Approach

The paper introduces the BPC approach to improve polygenic score calibration for binary disorders, achieving better calibration than existing methods in simulated and empirical data.

Evaluating metabolome-wide causal effects on risk for psychiatric and neurodegenerative disorders

This study uses Mendelian randomisation to identify causal metabolome-wide effects on psychiatric and neurodegenerative disorders, finding 85 significant associations and shared genetic variants.

Using polygenic and transcriptional risk scores to investigate psychiatric and cognitive symptoms in Parkinson's disease

This study uses polygenic and transcriptional risk scores to analyze psychiatric and cognitive symptoms in Parkinson's disease, finding distinct associations between genetic and transcriptional risks and symptom progression.

The GenoPred Pipeline: A Comprehensive and Scalable Pipeline for Polygenic Scoring.

GenoPred is a pipeline that generates interpretable polygenic scores by integrating GWAS summary statistics and genotype data, supporting diverse populations and improving reproducibility.

Meta-analysis of CYP2C19 and CYP2D6 metabolic activity on antidepressant response from 13 clinical studies using genotype imputation

This study examines the association between CYP2C19 and CYP2D6 metabolic phenotypes and antidepressant response using genotype imputation across 13 studies, finding no significant associations after correction for multiple testing.

Polygenic prediction of major depressive disorder and related traits in African ancestries UK Biobank participants.

The paper evaluates the accuracy of polygenic risk scores for MDD in African ancestry UK Biobank participants using European and African GWAS data, finding lower predictive power from European-derived PRS.

What's UPDOG? A novel tool for trans-ancestral polygenic score prediction

UPDOG improves trans-ancestral polygenic score prediction by considering genetic architecture of both discovery and test cohorts, showing improvements in two-thirds of cases across four ancestries and six phenotypes.

Genome-wide study of half a million individuals with major depression identifies 697 independent associations, infers causal neuronal subtypes and biological targets for novel pharmacotherapies.

This study identifies 697 genetic associations for major depression using GWAS, infers causal neuronal subtypes, and suggests potential drug targets and repurposing opportunities.

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.

Investigating the genetic relationship between depression symptoms and Alzheimer's disease in clinically diagnosed and proxy cases

This study investigates the genetic relationship between depression symptoms and Alzheimer's disease using GWAS and finds significant genetic correlations but no causal link, suggesting proxy cases may drive the overlap.

Calculating variant penetrance using family history of disease and population data

This paper introduces a method to estimate penetrance for autosomal dominant traits using population data and family history, validated through simulations and case studies.

Multi-ancestry GWAS of major depression aids locus discovery, fine-mapping, gene prioritisation, and causal inference

This paper conducts a multi-ancestry GWAS of major depression, identifying 190 loci and 354 genes, with findings showing increased fine-mapping power and bidirectional BMI relationship in European ancestry samples.

Genetic Architecture of 11 Major Psychiatric Disorders at Biobehavioral, Functional Genomic, and Molecular Genetic Levels of Analysis

This study identifies four genetic factors underlying 11 psychiatric disorders and finds limited evidence for a single dimension of genetic risk across them.

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.

Using Local Genetic Correlation Improves Polygenic Score Prediction Across Traits

This study improves polygenic score prediction across traits by incorporating local genetic correlation and heritability estimates from genetically correlated phenotypes.

A Tool for Translating Polygenic Scores onto the Absolute Scale Using Summary Statistics

This paper introduces a method to convert polygenic scores to an absolute scale using summary statistics, validated on UK Biobank data, and provides web tools for implementation.

Trans-ancestry genome-wide association study identifies novel genetic mechanisms in rheumatoid arthritis

This study conducts a trans-ancestry GWAS of rheumatoid arthritis, identifying 124 loci, 34 novel, and shows improved polygenic risk score performance across populations.

The genetic case for cardiorespiratory fitness as a clinical vital sign and the routine prescription of physical activity in healthcare

This paper uses genetic data to support cardiorespiratory fitness (CRF) as a clinical vital sign and advocates for routine physical activity prescription in healthcare.

Genetically predicted levels of the human plasma proteome and risk of stroke: a Mendelian Randomization study

This study uses Mendelian randomization to identify plasma proteins associated with stroke risk and potential therapeutic targets.

Novel polygenic risk score links depression-related cortical transcriptomic changes to brain morphology and symptom severity

This paper develops a transcriptome-based polygenic risk score (T-PRS) linking depression-related cortical gene expression changes to brain morphology and symptom severity in MDD.

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.

Evaluation of Polygenic Prediction Methodology within a Reference-Standardized Framework

This study evaluates polygenic scoring methods in a reference-standardized framework, finding that LDPred2, lassosum, and PRScs provide the best predictive performance.

Imputed Gene Expression Risk Scores: A Functionally Informed Component of Polygenic Risk

This study evaluates gene expression risk scores (GeRS) for predicting neuropsychiatric and anthropometric traits, finding they improve prediction when combined with polygenic risk scores (PRS).

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.

Investigating an in-silico approach for prioritizing antidepressant drug prescription based on drug-induced expression profiles and predicted gene expression

This paper ranks antidepressants based on their similarity to gene expression profiles of treatment responders, finding escitalopram and citalopram show high rankings in some cell lines.