Luke M. Evans

The paper uses network pharmacology to identify biological pathways linking mental health drugs to weight-related side effects, highlighting key molecular mechanisms.

This study links clonal hematopoiesis to accelerated frailty and functional decline across multiple organ systems in humans.

The paper compares DNA methylation clocks and age acceleration across saliva, buffy coat, and PBMC in young adults, finding tissue-specific differences in methylation age and twin correlations.

This paper shows that using the mean or median of multiple observations improves GWAS power and polygenic prediction accuracy by reducing phenotypic noise.

This study models the genomic architecture of adiposity and anthropometrics across the lifespan, identifying shared and distinct genetic factors and their associations with health outcomes.

This study identifies polygenic determinants of fluconazole susceptibility, tolerance, and heteroresistance in Candida albicans using GWAS on 557 isolates, revealing distinct genetic loci and mechanisms.

The paper develops a multi-omic prediction framework to diagnose IBD using metagenomic, metatranscriptomic, metabolomic, and viromic data, finding that metabolomics and viromics provide stronger predictive power than other omics.

This study performs a large-scale GWAS on executive functions, identifying genetic variants linked to synaptic and GABAergic pathways and showing distinct genetic relationships with intelligence and psychiatric disorders.

This study introduces a method to analyze gene-gene interactions across multiple traits and tissues, identifying novel associations and pathways through transcriptome-wide interaction studies.

The paper tests whether genes identified in mouse anxiety models are associated with human anxiety disorders using genome-wide association studies.

This paper investigates heterogeneous genetic effects on smoking behaviors using UK Biobank data, finding evidence of sex- and psychiatric disorder-specific genetic associations and improved polygenic risk score prediction with sex-specific effects.

This study conducts a genome-wide association meta-analysis of childhood aggression across multiple raters, instruments, and ages, identifying genetic correlations with various traits but no genome-wide significant SNPs.

In 159,701 siblings from 17 cohorts, population GWAS overstate direct effects on height, education, smoking, cognition, depressive symptoms and age at first birth; clinical traits mostly agree across models.

The paper estimates SNP-based heritability for four smoking behaviors using partitioned h2SNP in the UK Biobank, finding modest heritability and significant contributions from low-frequency variants.

The paper replicates main effects of rs16969968 and age of smoking onset on smoking quantity but fails to replicate their interaction effect.

The paper assesses the association of two gene sets with smoking behaviors using GWAS data and finds they contribute little to the heritability of these traits.

The paper imputes four VNTR polymorphisms and one modifying SNP into 486,551 UK Biobank individuals, enabling rigorous testing of their association with psychiatric phenotypes.

The paper investigates the relationship between estimated autozygosity and 26 complex traits in the UK Biobank, finding significant associations with fluid intelligence, forced expiratory volume, and age at first sexual intercourse.

The paper compares methods for estimating heritability and genetic architecture using whole genome data and finds that larger imputation panels improve accuracy of causal variant frequency estimates.

This paper estimates narrow-sense heritability using identity-by-descent information in unrelated individuals and finds that IBD-based methods can capture rare variant contributions but are affected by stratification.

The paper tests quantitative gene-environment interactions in unrelated individuals using a new maximum likelihood method applied to UK Biobank IQ data, finding increased genetic variation with lower socioeconomic status.