Genome-Wide Association Study of Metamizole-Induced Agranulocytosis in European Populations.
Anca Liliana CismaruDeborah RudinLuisa IbañezEvangelia LiakoniNicolas BonadiesReinhold KreutzAlfonso CarvajalMaria Isabel LucenaJavier MartinEsther Sancho PonceMariam MolokhiaNiclas Erikssonnull EuDAC CollaboratorsStephan KrähenbühlCarlo R LargiadèrManuel HaschkePär HallbergMia WadeliusUrsula AmstutzPublished in: Genes (2020)
Agranulocytosis is a rare yet severe idiosyncratic adverse drug reaction to metamizole, an analgesic widely used in countries such as Switzerland and Germany. Notably, an underlying mechanism has not yet been fully elucidated and no predictive factors are known to identify at-risk patients. With the aim to identify genetic susceptibility variants to metamizole-induced agranulocytosis (MIA) and neutropenia (MIN), we conducted a retrospective multi-center collaboration including cases and controls from three European populations. Association analyses were performed using genome-wide genotyping data from a Swiss cohort (45 cases, 191 controls) followed by replication in two independent European cohorts (41 cases, 273 controls) and a joint discovery meta-analysis. No genome-wide significant associations (p < 1 × 10-7) were observed in the Swiss cohort or in the joint meta-analysis, and no candidate genes suggesting an immune-mediated mechanism were identified. In the joint meta-analysis of MIA cases across all cohorts, two candidate loci on chromosome 9 were identified, rs55898176 (OR = 4.01, 95%CI: 2.41-6.68, p = 1.01 × 10-7) and rs4427239 (OR = 5.47, 95%CI: 2.81-10.65, p = 5.75 × 10-7), of which the latter is located in the SVEP1 gene previously implicated in hematopoiesis. This first genome-wide association study for MIA identified suggestive associations with biological plausibility that may be used as a stepping-stone for post-GWAS analyses to gain further insight into the mechanism underlying MIA.
Keyphrases
- genome wide
- genome wide association study
- copy number
- systematic review
- dna methylation
- drug induced
- adverse drug
- high glucose
- meta analyses
- diabetic rats
- electronic health record
- high throughput
- emergency department
- randomized controlled trial
- spinal cord
- oxidative stress
- case control
- machine learning
- gene expression
- big data
- spinal cord injury
- endothelial cells