Association of FcγRIIa Polymorphism with Clinical Outcome of Dengue Infection: First Insight from Pakistan

• Published in: The American journal of tropical medicine and hygiene Vol. 93; no. 4; pp. 691 - 696
• Main Authors: Mohsin, Saima Naz, Mahmood, Saqib, Amar, Ali, Ghafoor, Farkhanda, Raza, Syed Mohsin, Saleem, Mahjabeen
• Format: Journal Article
• Language: English
• Published: United States The American Society of Tropical Medicine and Hygiene 01.10.2015
• Subjects: Adolescent; Asymptomatic Infections; Child; Child, Preschool; Dengue - genetics; Female; Genetic Association Studies; Genetic Predisposition to Disease - genetics; Genotype; Humans; Infant; Male; Pakistan - epidemiology; Polymorphism, Single Nucleotide - genetics; Receptors, IgG - genetics; Severe Dengue - genetics; Treatment Outcome; Young Adult; Pakistan
• ISSN: 0002-9637; 1476-1645; 1476-1645
• DOI: 10.4269/ajtmh.15-0199

Dengue illness has been a major health concern in Pakistan during the last decade. Dengue infection can result in a spectrum of clinically distinct outcomes, ranging from asymptomatic infection to potentially life-threatening forms of dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS). A single-nucleotide polymorphism in FcγRIIa (rs1801274) results in altered affinity of the receptor for different subclasses of immunoglobulin G, and is a key player in determining the susceptibility to or protection from severe clinical infection of dengue. In this study, we analyzed the allelic and genotypic distribution of rs1801274 in subjects of Pakistani origin with subclinical dengue infection ( n = 40), dengue fever (DF) ( n = 40), and DHF/DSS ( n = 30). We found that HH homozygotes and heterozygotes were significantly more likely to develop clinical dengue (odds ratio [OR] = 3.21, 95% confidence interval [CI] = 1.29–7.97, P = 0.009), either DF (OR = 2.82, 95% CI = 1.00–7.97, P = 0.045) or DHF/DSS (OR = 3.90, 95% CI = 1.13–13.07, P = 0.024) than the asymptomatic dengue infection. Results of allelic distribution comparisons and logistic regression analysis also supported the same relationship. The results suggest complex nature of interacting factors in determining the course for severe dengue illness.