Thomas Lehner

The paper introduces SQUiD, a secure database for storing and analyzing genotype-phenotype data in the cloud, enabling privacy-preserving queries and analyses.

This study identifies correlates of risk for disinhibited behaviors in veterans using polygenic scores and electronic health records, finding strong associations with substance use disorders and related health outcomes.

The paper introduces a machine learning method to detect somatic L1 insertions in human brain tissue, revealing their widespread distribution in neurons and glia and potential role in neuropsychiatric diseases.

This paper performs a large-scale eQTL meta-analysis across cerebral cortical and cerebellar brain regions, identifying distinct eQTL patterns and demonstrating improved power over existing studies.

The paper functionally annotates rare structural variants in the human brain by integrating SV calling with RNA-seq data to assess their regulatory effects and prioritize pathogenic deletions.

The paper discusses the role of whole genome sequencing in psychiatric disorders through the WGSPD consortium, aiming to assess its utility compared to other genotyping methods.