Tommer Schwarz

The paper maps gene expression and chromatin accessibility QTLs in fibroblasts from European and Latin American ancestries, finding high concordance and shared regulatory mechanisms.

This study uses bulk RNA-Seq from blood samples to estimate cell type proportions and eQTLs, revealing cell-type specific genetic associations with psychiatric disorders and medication effects.

This study develops snpSTARRseq, a high-throughput method to test non-coding variants from GWAS, showing 37% of prostate cancer risk loci alter enhancer activity.

The paper explores the relationship between genomic ancestry and health outcomes using a biobank linked to electronic health records, finding disease stratification across ancestry clusters.

The paper introduces CWAS, a method linking genetic variation to chromatin states, identifying novel prostate cancer risk loci and regulatory mechanisms not detectable by eQTLs.

This study shows that reducing RNA-seq coverage while increasing sample size improves eQTL discovery power.

The paper identifies non-coding RNAs that mediate gene expression regulation in breast and prostate tissue and overlap with genetic signals for cancer susceptibility.

The paper uses HiChIP to link prostate cancer GWAS risk variants to target genes, finding new associations not detected by eQTL methods and validating them with CRISPRi.

This paper introduces a statistical method to identify tissue-specific genetic contributions to complex traits at the individual level using eQTLs and applies it to BMI and WHRadjBMI in the UK Biobank.

This study shows that low-coverage single-cell RNA sequencing of more samples increases statistical power for cell-type-specific eQTL analysis compared to high-coverage sequencing of fewer samples.