Variants in the β-globin locus are associated with pneumonia in African American children

Nadine L N Halligan1, Sarah C Hanks2, Karen Matsuo2

  • 1Division of Critical Care Medicine, Department of Pediatrics, University of Michigan, Ann Arbor, MI 48109, USA.

HGG Advances
|October 24, 2024
PubMed

Insights

Genetic variants linked to sickle cell disease (SCD) are the strongest predictors of pneumonia in African American children. These findings highlight genetic factors influencing pneumonia risk in this population.

Area of Science:

  • Genetics
  • Pediatrics
  • Pulmonology

Background:

  • The rs334 variant (A allele) in the beta-globin gene is a significant genetic predictor of pneumonia in African American adults, strongly associated with sickle cell disease (SCD).
  • No similar genetic studies on pneumonia risk have been conducted in African American children.

Purpose of the Study:

  • To identify genetic predictors of pneumonia in African American children.
  • To compare the effectiveness of different genetic imputation panels (1000 Genomes and TOPMed) in identifying these predictors.

Main Methods:

  • Genome-wide association analyses were performed on 482 African American children with pneumonia and 2,048 controls.
  • Genotypes were imputed using the 1000 Genomes (1KG) and TOPMed reference panels.
  • Statistical analyses included calculating odds ratios (OR) and confidence intervals (CI) for associated genetic variants.

Main Results:

  • Using 1KG imputed genotypes, rs334 (A allele) was the most significant variant (OR = 2.76).
  • Using TOPMed imputed genotypes, rs2226952 in the beta-globin locus control region (G allele) was most significant (OR = 2.14).
  • After conditioning on rs334, rs33930165 (T allele) showed strong association (1KG OR = 4.09; TOPMed OR = 3.58), and can cause SCD in compound heterozygotes.

Conclusions:

  • Genetic determinants of pneumonia in African American children are strongly linked to factors increasing the risk of sickle cell disease (SCD).
  • The study developed a method to estimate the power of different sample sets for genetic analyses.