Karl Smith-Byrne

Atlas of Proteomic Technologies: an evidence-based framework for selecting and combining commercial proteomics platforms

The paper presents APT, a resource that evaluates proteomics platforms and provides decision tools to select or combine them based on study requirements.

Discovering the genetic architecture of sleep regulation: genome-wide association study of device-measured sleep traits.

This study identifies 20 genetic loci associated with sleep traits using UK Biobank data, including novel signals for REM and NREM sleep duration and sex-specific associations.

Identifying therapeutic targets for cancer: 2,094 circulating proteins and risk of nine cancers

This study identifies 40 circulating proteins associated with cancer risk using MR and colocalization, highlighting potential therapeutic targets and adverse effects of protein-altering interventions.

Common genetic variations in telomere length genes and lung cancer

This study investigates the relationship between genetically predicted leukocyte telomere length and lung cancer risk, finding a causal association and novel susceptibility loci.

Genetic analysis of lung cancer reveals novel susceptibility loci and germline impact on somatic mutation burden

This study identifies eight novel lung cancer susceptibility loci and shows that germline variants related to smoking and DNA repair influence somatic mutation burden in lung tumors.

Germline TYK2 mutation and cancer risk

The paper uses a genetic variant to assess cancer risk associated with TYK2 inhibition, finding increased risks for lung cancer and non-Hodgkin lymphoma.

IL-18 and Lower Risk for Lung Cancer: Triangulated Evidence from Germline Predictions, Pre-Diagnostic Measurements, and Tumor Expression

This study identifies IL-18 as a biomarker for reduced lung cancer risk using genetic, pre-diagnostic, and tumor expression data, with potential therapeutic implications.

Pan-cancer analysis demonstrates that integrating polygenic risk scores with modifiable risk factors improves risk prediction

This study integrates polygenic risk scores with modifiable risk factors and family history to improve cancer risk prediction across 16 cancers using UK Biobank data.

Insulin-like growth factor-1 (IGF-1), insulin-like growth factor-binding protein-3 (IGFBP-3) and breast cancer risk: observational and Mendelian randomization analyses

This study examines the association between IGF-1 and breast cancer risk using observational and Mendelian randomization analyses, finding a positive association and suggesting a causal relationship.

GWAS identifies 10 loci for objectively-measured physical activity and sleep with causal roles in cardiometabolic disease.

This paper conducts a GWAS on objectively-measured physical activity and sleep traits, identifying 10 loci with potential causal roles in cardiometabolic disease.