Liam E. Abbott

The paper evaluates dominance effects in over 1,000 UK Biobank phenotypes using GWAS, finding no significant dominance contribution to phenotypic variance from common variation.

The paper develops a gene signature model for TB prognosis and treatment response using network-based meta-analysis and machine learning, validated across 57 studies with high predictive accuracy.

The paper analyzes ultra-rare variants in epilepsy patients to identify gene-set enrichment patterns and differential impacts in neuronal gene categories.

The paper identifies an enrichment of rare protein-truncating variants in ALS patients, highlighting novel genes like DNAJC7 and known ALS genes such as SOD1, NEK1, and FUS.

The paper examines common genetic variants' contribution to bipolar disorder risk in multiplex families and finds higher polygenic risk scores in affected individuals compared to controls and unaffected family members.

This study identifies ultra-rare genetic variants associated with different epilepsy types using whole-exome sequencing in 17,634 individuals.

This study identifies 30 genome-wide significant loci associated with bipolar disorder, including novel genes involved in ion channels, neurotransmitters, and synaptic components.