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Published in: BMC Medical Genetics 1/2019

Open Access 01-12-2019 | Intoxication | Research article

LRCH1 polymorphisms linked to delayed encephalopathy after acute carbon monoxide poisoning identified by GWAS analysis followed by Sequenom MassARRAY® validation

Authors: Jiapeng Gu, Jiao Zeng, Xi Wang, Xin Gu, Xiaoli Zhang, Ping Zhang, Fan Zhang, Yongkai Han, Yazhou Han, Hongxing Zhang, Wenqiang Li, Renjun Gu

Published in: BMC Medical Genetics | Issue 1/2019

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Abstract

Background

We explored the association of leucine-rich repeats and calponin homology domain containing 1 (LRCH1) gene polymorphisms with genetic susceptibility to delayed encephalopathy after acute carbon monoxide poisoning (DEACMP), which might provide a theoretical basis for the pathogenesis, diagnosis, and prognosis research of DEACMP.

Methods

Four single nucleotide polymorphisms, rs1539177 (G/A), rs17068697 (G/A), rs9534475 (A/C), and rs2236592 (T/C), of LRCH1, selected as candidate genes through genome-wide association analysis, were genotyped in 661 patients (DEACMP group: 235 cases; ACMP group: 426 cases) using Sequenom Massarray®. The association analysis of four SNPs and LRCH1 was performed under different genetic models.

Results

LRCH1 polymorphisms (rs1539177, rs17068697, rs9534475) under additive and dominant genetic models were significantly associated with an increased risk of DEACMP, but no significant association under allele and recessive models was found. The LRCH1 rs2236592 polymorphism was susceptible to DEACMP only under the dominant model (TT/TC + CC, OR = 1.616, 95% CI: 1.092–2.390, P = 0.015784). In addition, the A allele gene of rs9534475 polymorphism in LRCH1 might increase the risk for DEACMP (OR = 1.273, 95% CI: 1.013–1.601, P = 0.038445).

Conclusions

We found a significant association between the four LRCH1 polymorphisms and DEACMP. The allelic A of rs9534475 polymorphism in LRCH1 might be a risk factor for DEACMP.
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Metadata
Title
LRCH1 polymorphisms linked to delayed encephalopathy after acute carbon monoxide poisoning identified by GWAS analysis followed by Sequenom MassARRAY® validation
Authors
Jiapeng Gu
Jiao Zeng
Xi Wang
Xin Gu
Xiaoli Zhang
Ping Zhang
Fan Zhang
Yongkai Han
Yazhou Han
Hongxing Zhang
Wenqiang Li
Renjun Gu
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Medical Genetics / Issue 1/2019
Electronic ISSN: 1471-2350
DOI
https://doi.org/10.1186/s12881-019-0931-7

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