bioRxivGenomicsPreprint
BloodVariome: a high-resolution atlas of inherited genetic effects in human immune cells
Aitzkoa Lopez de Lapuente PortillaiD, Ludvig EkdahliD, Guðmar ÞorleifssoniD, Zain AliiD, Antton Lamarca ArrizabalagaiD, Caterina CafaroiD, Saedís SaevarsdóttiriD, Guðný Ella ThorlaciusiD, Gisli Hreinn HalldorssoniD, Lilja StefánsdóttiriD, Páll MelstediD, Nerea Ugidos-DamborienaiD, Maroulio PertesiiD, Patrick SulemiD, Daniel Fannar GudbjartssoniD, Kāri StefánssoniD, Unnur ÞorsteinsdóttiriD, Ingileif JónsdóttiriD, Thorunn Asta OlafsdottiriD, Björn NilssoniD
Abstract
Genome-wide association studies have linked thousands of sequence variants to immune-mediated diseases, yet their cellular mechanisms remain largely unresolved. Here we present BloodVariome, a high-resolution atlas of genetic effects across the human immune cell hierarchy. Combining deep immunophenotyping with automated pattern-recognition, we quantified 1,533 traits across 127 immune cell populations in 11,983 individuals. We identified 259 significant associations, the vast majority of which are not captured by conventional bulk blood trait studies. Most associations were restricted to single immune lineages or cell populations, revealing a fine-grained genetic compartmentalization of the immune system. By linking known disease risk alleles to specific immune cell phenotypes, BloodVariome illuminates cellular mechanisms underlying autoimmunity, immunodeficiency, and hematologic malignancy. Moreover, we implicate novel regulators of human immune cell development and function. By bridging the gap between cohort size and phenotypic depth, BloodVariome establishes a high-resolution framework for interpreting how genetic variation shapes cellular immunity at population-scale.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
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