Kati Hyvärinen

The paper investigates the impact of CFHR gene deletions on kidney transplant rejection risk and identifies associated SNPs and protein expression changes.

The paper develops imputation models for non-classical HLA genes using SNP data, achieving high accuracy and providing accessible tools for research.

The paper develops a machine learning method to predict blood group antigens and HPA-1 from genotyping data, achieving high accuracy in multiple cohorts.

This study identifies mismatches in gene deletions and kidney-related proteins as novel histocompatibility factors associated with acute rejection in kidney transplantation.

The paper imputes KIR gene content from SNPs in the Finnish population with high accuracy using a stand-alone model trained on biobank data.