An integrative genomics approach identifies novel pathways that influence candidaemia susceptibility.

Journal Article (Journal Article)

Candidaemia is a bloodstream infection caused by Candida species that primarily affects specific groups of at-risk patients. Because only small candidaemia patient cohorts are available, classical genome wide association cannot be used to identify Candida susceptibility genes. Therefore, we have applied an integrative genomics approach to identify novel susceptibility genes and pathways for candidaemia. Candida-induced transcriptome changes in human primary leukocytes were assessed by RNA sequencing. Genetic susceptibility to candidaemia was assessed using the Illumina immunochip platform for genotyping of a cohort of 217 patients. We then integrated genetics data with gene-expression profiles, Candida-induced cytokine production capacity, and circulating concentrations of cytokines. Based on the intersection of transcriptome pathways and genomic data, we prioritized 31 candidate genes for candidaemia susceptibility. This group of genes was enriched with genes involved in inflammation, innate immunity, complement, and hemostasis. We then validated the role of MAP3K8 in cytokine regulation in response to Candida stimulation. Here, we present a new framework for the identification of susceptibility genes for infectious diseases that uses an unbiased, hypothesis-free, systems genetics approach. By applying this approach to candidaemia, we identified novel susceptibility genes and pathways for candidaemia, and future studies should assess their potential as therapeutic targets.

Full Text

Duke Authors

Cited Authors

  • Matzaraki, V; Gresnigt, MS; Jaeger, M; Ricaño-Ponce, I; Johnson, MD; Oosting, M; Franke, L; Withoff, S; Perfect, JR; Joosten, LAB; Kullberg, BJ; van de Veerdonk, FL; Jonkers, I; Li, Y; Wijmenga, C; Netea, MG; Kumar, V

Published Date

  • 2017

Published In

Volume / Issue

  • 12 / 7

Start / End Page

  • e0180824 -

PubMed ID

  • 28727728

Pubmed Central ID

  • PMC5519064

Electronic International Standard Serial Number (EISSN)

  • 1932-6203

Digital Object Identifier (DOI)

  • 10.1371/journal.pone.0180824


  • eng

Conference Location

  • United States