Sarah L. Elson

The paper analyzes the impact of CYP2C19 genotype on SSRI side effects and discontinuation rates in a large sample of individuals.

This study identifies sex-specific genetic loci and correlations for alcohol use behaviors and their comorbidities using genome-wide association studies.

This paper conducts GWAS on cannabis use frequency and lifetime use, identifies genetic loci, and shows genetic correlations with other traits and diseases.

This study finds that higher polygenic risk scores for breast cancer are associated with longer survival in patients, suggesting a link between genetic predisposition and less aggressive tumors.

This study uses a multivariate GWAS approach to identify genetic loci associated with reading ability and dyslexia, finding 35 new genome-wide significant loci and estimating SNP heritability at 24%.

This study compares polygenic risk scores for Parkinson's disease across seven ancestries, finding varying predictive accuracy and highlighting the need for ancestry-specific models.

This study identifies genetic correlations between hyposmia and Parkinson's disease, finding a strong causal link from PD to hyposmia but weaker evidence for the reverse.

This study investigates the shared genetic architecture between rhythm and dyslexia using large-scale genome-wide association studies.

This study identifies 14 genome-wide significant loci for delay discounting in 134,935 individuals and shows genetic associations with 212 medical conditions.

MUSSEL improves polygenic risk prediction across populations by integrating GWAS summary statistics and using Bayesian hierarchical modeling with ensemble learning.

This paper conducts a multi-ancestry genome-wide meta-analysis of Parkinson's disease, identifying 78 independent loci and 23 genes associated with PD risk.

The paper introduces CT-SLEB, a method for multi-ancestry polygenic prediction that improves performance in non-European populations using GWAS summary statistics and simulation studies.

This study compares GWAS results of coffee intake from 23andMe and UK Biobank, finding discrepancies in genetic correlations with health traits and highlighting cultural differences in gene-cohort influences.

This study identifies 49 genetic loci associated with sleep apnoea risk using multi-trait GWAS, with 29 replicated in a large cohort, and finds genetic correlations with several complex traits.

This study conducts a genome-wide association study to identify genetic variants linked to musical beat synchronization, finding high polygenicity with 69 significant loci and heritability estimates of 13%-16%.

The paper constructs polygenic indexes for 47 phenotypes across 11 datasets and provides a tool to correct errors-in-variables bias when using PGIs as proxies for the additive SNP factor.

The paper identifies sex-differential participation bias in genetic studies by performing GWAS on sex in 3.3 million individuals, finding 158 loci associated with sex and highlighting traits like BMI that may influence participation.

This study identifies genetic loci associated with daytime napping and finds potential causal links between napping and cardiometabolic traits.

The paper identifies HLA-B*55:01 as a genetic risk factor for penicillin allergy through genome-wide analysis of electronic health records and imputed HLA data.

This study uses genomic structure equation modeling to show impulsivity traits have distinct genetic factors, with urgency most linked to internalizing psychopathology.

This study identifies one known and two novel genetic variants associated with heart failure through GWAS and multi-omic analyses, revealing potential causal mechanisms and shared heritability with musculoskeletal traits.

This study identifies genetic risk factors for major depressive disorder and loneliness as predictors of coronary artery disease risk, particularly in women.

The paper characterizes the prevalence and health consequences of uniparental disomy in four million individuals, identifying 675 cases and linking UPD of chromosome 22 to autism.

This study identifies 12 genetic loci associated with loneliness and finds genetic correlations with 34 health outcomes, including cardiovascular and psychiatric disorders.

This study identifies two genetic loci, GDF5 and COL27A1, associated with knee pain through a genome-wide association analysis in the UK Biobank and replication in other cohorts.

This study conducts GWAS on impulsive personality traits and drug experimentation in 22,861 adults, identifying genetic associations and correlations with psychiatric disorders.

This study conducts a trans-ancestral GWAS of alcohol dependence, identifying genetic variants and correlations with psychiatric disorders.

This paper performs a genome-wide association study meta-analysis of AUDIT scores in two cohorts, identifying risk loci and genetic correlations with alcohol consumption and psychiatric disorders.

This study shows common genetic variants significantly contribute to migraine family clustering, with higher burden in familial cases compared to population-based cases.

This study conducts a GWAS on depression phenotypes in UK Biobank, identifying genetic variants enriched in excitatory synaptic pathways.