Fig. 1: Integrative omics in PLHIV.
From: Genetic and molecular landscape of comorbidities in people living with HIV
a, Overview of the data available for the cohort. Multi-omics data, together with immune response profiling, were collected. Clinical data on non-AIDS comorbidities were available. b, Multi-omics integration. Features across all layers were integrated using MOFA. This captured LFs related to processes such as systemic inflammation and aging. c, Multi-omics QTL to dissect the genetic basis of inter-individual variation in PLHIV. d, Mendelian randomization to study the causal effect of circulating molecules on immune function in PLHIV. Schematics were created with BioRender.com. LF, latent factor.
