Emma Raitoharju

This study compares traditional risk factors and epigenetic clocks in predicting non-communicable disease morbidity and finds traditional factors perform better in a middle-aged cohort.

The paper maps cis- and trans-eQTLs in blood samples to infer gene regulatory networks and prioritize trait-relevant pathways.

The paper identifies USP18 as a negative regulator of interferon response at a lupus risk locus through trans-eQTL analysis in lymphoblastoid cell lines.

The paper compares biological age indicators across different blood cell types and finds cell type-specific associations with calendar age.

This paper reviews contradictions in nc886/VTRNA2-1 methylation and RNA function, reanalyzes existing data, and presents new findings on population geography and tumor methylation patterns.

The paper examines nc886 methylation across populations and tissues, finding stable levels except in specific tissues and some discordance in dizygotic twins.

The paper examines nc886 methylation patterns across mammals, finding non-conserved imprinting and methylation status, suggesting limited use of animal models for nc886 research.

This study identifies genetic variants with pleiotropic effects on cytokines and related traits using a multivariate genome-wide association analysis.

This study identifies genetic and environmental factors that disrupt trait correlations, showing environmental perturbations reduce correlations and genetic factors influence correlation patterns.

The paper integrates transcriptomic, metabolomic, and genomic data to identify gene networks and their genetic regulation linked to immune function and circulating metabolites.

This study identifies 17 new genetic loci associated with circulating cytokine and growth factor concentrations in Finns, linking them to immune-related diseases and potential drug targets.

The paper integrates gene expression and GWAS data to identify novel genes associated with obesity-related traits.

This study links elevated glycoprotein acetyls (GlycA) to chronic inflammation and microbial infection risk using integrative omics and health records.