Satu J. Strausz

This study conducts a GWAS of Lyme disease, identifying five genetic loci and linking it to post-infectious diseases like Bell palsy and joint pain.

This study identifies 105 genetic loci associated with 67 oral diseases and finds strong genetic correlations between oral and systemic conditions.

The paper identifies genetic variants associated with diurnal glucose levels and their role in type 2 diabetes risk.

This study identifies 39 genetic loci shared between cannabis use and sleep traits through a meta-analysis of 152,807 cases and 220,272 controls.

This study identifies genetic associations for multiple sleep disorders and medications in over 1.6 million individuals, revealing shared and unique genetic factors across sleep traits.

This study uses haplotype analysis to identify disease associations in the HLA region across 412,181 Finnish individuals, revealing pleiotropic patterns and 7,649 associations across 647 traits.

The paper uses Estonian Biobank data to identify genetic loci associated with 5,491 disease phenotypes, finding 3,222 genome-wide significant loci and 754 protein-altering variant-trait associations.

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

This study identifies ADRA2A as a major risk locus for Raynaud's syndrome through genome-wide association analysis and functional validation in vascular smooth muscle cells.

The paper demonstrates the feasibility of conducting clinical recall studies from the FinnGen biobank to collect customized clinical data from participants with Alzheimer's disease or mild cognitive disorder.

The paper identifies genetic risk factors for tuberculosis, including HLA alleles and INPP5A variants, and shows smoking as a lifestyle risk factor.

The paper identifies a genetic variant in SCGB1D2 that increases Lyme disease susceptibility and shows that the wild-type protein inhibits Borrelia burgdorferi growth more effectively than the variant.

This study identifies five genetic loci associated with obstructive sleep apnoea and finds a causal link between BMI and OSA through polygenic risk scores and Mendelian randomization.