Cristina M. Lanata

The Peruvian Genome Project collects and analyzes genomic data from native and mestizo populations in Peru to address underrepresentation in global genome databases and uncover genetic adaptations to local environments.

The paper identifies immune signatures in SLE cutaneous subtypes using transcriptomics, revealing subtype-specific pathways and potential therapeutic targets.

The paper identifies cell-specific transposable element (TE) gene expression associations with SLE phenotypes, finding 731 differentially expressed TEs linked to antiviral pathways and IFN signaling.

This study identifies ethnicity-specific transcriptomic subgroups in SLE patients using RNA-seq data and correlates them with disease activity.

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.