Jukka T. Koskela

This study conducts a genome-wide meta-analysis across three biobanks to identify new genetic loci associated with lumbar disc herniation, expanding the known genetic landscape.

The paper identifies regulatory variation at HTR1F associated with sleep apnea risk and arousals, particularly in non-obese individuals.

This study evaluates polygenic risk score methods across diverse biobanks and ancestries, finding that European reference panels often yield better performance, while PRS-CS outperforms P+T for high-heritability traits.

This study performs a large multi-ancestry meta-analysis of IPF genetics, identifying seven novel genome-wide significant loci and highlighting pleiotropy with severe COVID-19 and sex-heterogeneity at the MUC5B locus.

The paper identifies ten new genes with coding variants linked to Crohn's disease risk using sequencing data from over 30,000 patients and 80,000 controls.

This study identifies eight novel genetic signals associated with asthma-COPD overlap through a genome-wide association analysis involving multiple cohorts.

The paper identifies a genetic variant in SPDL1 that links pulmonary fibrosis risk and cancer protection through antagonistic pleiotropy.

The paper evaluates polygenic risk scores and clinical risk factors for predicting early-onset cardiometabolic diseases and cancers, showing comparable performance to clinical scores.

This study examines geographic variation and bias in polygenic scores for complex traits in Finland, finding that population genetic structure may cause apparent geographic patterns rather than direct genotype-phenotype associations.

The paper conducts GWAS and PheWAS on plasma lipid species to identify genetic associations and their links to diseases beyond traditional lipid measures.