Meena Subramaniam

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.

GBAT improves detection of trans-gene regulation by addressing multiple testing, read-mapping biases, and confounders in eQTL analysis.

VISION annotates variation sources in single-cell RNA-seq data without preconceived group stratification, linking findings to clinical phenotypes in lupus B cells.

The paper uses CRISPR perturbations and single-cell transcriptomics to identify gene regulators and interactions in CD4+ T cells, revealing 134 regulators and 194 regulator pairs.

This study identifies genetic and environmental factors that disrupt trait correlations, showing environmental perturbations reduce correlations and genetic factors influence correlation patterns.

The paper identifies genetic variants influencing isoform usage in the anti-viral response, revealing ERAP2's role in balancing selection and influenza-specific regulation.

The paper identifies genetic variants affecting chromatin accessibility in T cells and links them to gene expression and autoimmune disease.

The paper introduces demuxlet, an algorithm that uses natural genetic variation to multiplex single-cell RNA-seq samples, enabling accurate sample identification and doublet detection in pooled experiments.

The paper identifies an IL2RA enhancer associated with autoimmunity using CRISPRa and shows it affects gene activation timing without blocking expression.