Valtteri Julkunen

Predicting Alzheimer's disease phenotypes with aging clocks: an exploratory analysis

This study explores proteomic and epigenetic aging clocks as biomarkers for Alzheimer's disease phenotypes, finding proteomic clocks improve explained variance in cognitive and biomarker measures by up to 18%.

Large-scale genome-wide analyses with proteomics integration reveal novel loci and biological insights into frailty

This study identifies 1,242 novel genetic variants and 31 novel genes associated with frailty through genome-wide association and proteomics integration.

Genome-wide meta-analysis conducted in three large biobanks expands the genetic landscape of lumbar disc herniations

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.

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.

FinnGen: Unique genetic insights from combining isolated population and national health register data

Finnish-enriched low-frequency variants, often coding, underlie many GWAS signals across 1,932 register endpoints in 218,792 Finns; a 15-disease meta-analysis with Estonian and UK biobanks adds 30 unreported associations.

An expanded analysis framework for multivariate GWAS connects inflammatory biomarkers to functional variants and disease

The paper introduces a multivariate GWAS framework that identifies functional variants and disease associations by transforming multivariate results into univariate phenotypes for follow-up analysis.