Teemu Niiranen

Pulmonary primary oxysterol and bile acid synthesis as a predictor of outcomesin pulmonary arterial hypertension

The paper identifies pulmonary primary oxysterol and bile acid synthesis as a prognostic biomarker for pulmonary arterial hypertension, outperforming current clinical risk scores.

Microbiome variations in osteoarthritis reflect aging and metabolic factors, not the disease

This study analyzes microbiome data from multiple OA cohorts and finds no significant differences between OA patients and controls, attributing microbiome changes to age and BMI instead of OA.

Integration of polygenic and gut metagenomic risk prediction for common diseases

This study integrates polygenic risk scores and gut metagenomic data to improve prediction of common diseases, showing enhanced predictive performance over conventional risk factors.

A FinnGen pilot clinical recall study for Alzheimer's disease

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.

Greengenes2 enables a shared data universe for microbiome studies

Greengenes2 aligns 16S rRNA and shotgun metagenomic data using a whole-genome phylogeny, showing agreement in principal coordinates, taxonomy, and phenotype effect size.

Early prediction of liver disease using conventional risk factors and gut microbiome-augmented gradient boosting

This study uses gut microbiome data and machine learning to improve liver disease risk prediction, showing that combining microbiome features with conventional risk factors enhances model performance.

Combined effects of host genetics and diet on human gut microbiota and incident disease in a single population cohort

In 5,959 Finns with genotypes and stool metagenomes, GWAS found 583 independent SNP-taxon associations; dairy intake modified LCT effects on Bifidobacterium, and ABO-linked Faecalicatena lactaris tracked secretor status.

OGUs enable effective, phylogeny-aware analysis of even shallow metagenome community structures

This paper introduces OGUs, a metagenome analysis method that uses sequence alignment hits to reference genomes for community analysis, showing better performance in predicting biological traits than taxonomic or 16S rRNA methods.

Genome-wide association and Mendelian randomization analysis prioritizes bioactive metabolites with putative causal effects on common diseases

This study identifies 118 genetic loci associated with 2,319 metabolite features and finds 46 causal effects of metabolites on common diseases using genome-wide association and Mendelian randomization.

Genome-wide association study provides new insights into the genetic architecture and pathogenesis of heart failure

This study conducts a large GWAS on heart failure, identifying 12 genetic loci with associations to CAD, atrial fibrillation, and reduced left ventricular function, and provides causal evidence for several risk factors.

Novel blood pressure locus and gene discovery using GWAS and expression datasets from blood and the kidney

This study identifies 6 new blood pressure loci and 48 genes involved in BP regulation using GWAS and gene expression data from blood and kidney tissues.