Hindrek Teder

The paper develops a prenatal pharmacogenetic test using non-invasive prenatal testing data to identify variants in MT-RNR1 that predict risk of aminoglycoside-induced hearing loss with high accuracy.

This study uses bulk DNA metagenomic analysis of honey samples to identify biological composition and detect honey bee pathogens and parasites.

The paper develops a targeted gene expression assay to assess endometrial receptivity, finding higher rates of shifted window of implantation in recurrent implantation failure patients.

This study evaluates five NIPT aneuploidy detection tools using clinically validated samples, finding that lower sequencing coverage increases false-negative and false-positive rates.

This paper introduces a computational framework for targeted high-coverage sequencing-based NIPT, achieving high accuracy in detecting fetal trisomies and parental origin.

TAC-seq is a targeted sequencing method using UMIs to count biomarker molecules, showing improved accuracy in mRNA, microRNA, and cell-free DNA analysis compared to standard sequencing.

The paper validates a whole-genome sequencing-based NIPT method and software for detecting fetal aneuploidies in Estonia, showing high accuracy for common trisomies but some false positives and detection issues with low fetal fraction.