Association of the IL16 Asn1147Lys polymorphism with intravenous immunoglobulin resistance in Kawasaki disease.
Hea-Ji KimJae-Jung KimSin Weon YunJeong Jin YuKyung Lim YoonKyung-Yil LeeHong-Ryang KilGi Beom KimMyung-Ki HanMin Seob SongHyoung Doo LeeKee Soo HaYoung Mi HongGi Young JangJong-Keuk Leenull nullPublished in: Journal of human genetics (2020)
Kawasaki disease (KD) is an acute, self-limited vasculitis, mainly affecting children younger than 5 years old, with accompanying fever and signs of mucocutaneous inflammation. Intravenous immunoglobulin (IVIG) is the standard treatment for KD; however, ~15% of patients are resistant to IVIG treatment. To identify protein coding genetic variants influencing IVIG resistance, we re-analyzed our previous genome-wide association study (GWAS) data from 296 patients with KD, including 101 IVIG non-responders and 195 IVIG responders. Five nonsynonymous SNPs (nsSNPs) in five immune-related genes, including a previously reported SAMD9L nsSNP (rs10488532; p.Val266Ile), were associated with IVIG non-response (odds ratio [OR] = 1.89-3.46, P = 0.0109-0.0035). In a replication study of the four newly-identified nsSNPs, only one in the interleukin 16 (IL16) gene (rs11556218, p.Asn1147Lys) showed a trend of association with IVIG non-response (OR = 1.54, P = 0.0078). The same IL16 nsSNP was more significantly associated with IVIG non-response in combined analysis of all data (OR = 1.64, P = 1.25 × 10-4). Furthermore, risk allele combination of the IL16 CT and SAMD9L TT nsSNP genotypes exhibited a very strong effect size (OR = 9.19, P = 3.63 × 10-4). These results implicate IL16 as involved in the mechanism of IVIG resistance in KD.
Keyphrases
- end stage renal disease
- genome wide association study
- oxidative stress
- chronic kidney disease
- newly diagnosed
- genome wide
- ejection fraction
- young adults
- peritoneal dialysis
- gene expression
- machine learning
- magnetic resonance
- liver failure
- big data
- extracorporeal membrane oxygenation
- transcription factor
- deep learning
- artificial intelligence
- combination therapy
- data analysis
- respiratory failure
- replacement therapy