Märt Möls

Bias in genome-wide association test statistics due to omitted interactions

This paper shows that ignoring gene-gene interactions in GWAS can lead to false positive results, highlighting the need for more complex models.

Disentangling Type 2 Diabetes Risk and Comorbidity Using Genomic Structural Equation Modeling

This study uses genomic structural equation modeling to identify latent genetic factors underlying T2D and its comorbidities, showing distinct risk profiles and broader associations with complications.

Analysis of follow-up data in large biobank cohorts: a review of methodology

This paper reviews methodological challenges in GWAS of biobank data with time-to-event outcomes, proposing a two-step martingale residual approach for efficient analysis.

Investigating the genetic factors of medication dosing using biobank-linked drug purchase data

This study uses biobank-linked drug purchase data to investigate genetic factors influencing medication dosing, finding significant polygenic and pharmacogenomic associations with statins, metoprolol, and warfarin.

KATK: fast genotyping of rare variants directly from unmapped sequencing reads

KATK is a tool for variant calling from raw sequencing reads, achieving low false negative and discovery rates while avoiding bias against rare variants.

FastGT: an alignment-free method for calling common SNVs directly from raw sequencing reads

FastGT calls common SNVs from raw sequencing reads using k-mer frequency analysis, achieving high concordance with reference genotypes.

StrainSeeker: fast identification of bacterial strains from unassembled sequencing reads using user-provided guide trees.

StrainSeeker identifies bacterial strains from unassembled sequencing reads using guide trees, successfully detecting Escherichia coli strains in mixed samples within 5 minutes.