Evaluating the effect of WNT pathway genes considering interactions on the risk of non-syndromic oral clefts among Chinese populations.
- Author:
Meng Ying WANG
1
;
Wen Yong LI
1
;
Ren ZHOU
1
;
Si Yue WANG
1
;
Dong Jing LIU
1
;
Hong Chen ZHENG
1
;
Jing LI
2
;
Nan LI
3
;
Zhi Bo ZHOU
3
;
Hong Ping ZHU
3
;
Tao WU
1
;
Yong Hua HU
1
Author Information
1. Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
2. Department of Pediatric Dentistry, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.
3. Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing 100081, China.
- Publication Type:Journal Article
- Keywords:
Genome-wide association studies;
Non-syndromic oral clefts;
WNT signaling pathway
- MeSH:
Asians/genetics*;
Cleft Lip/genetics*;
Cleft Palate/genetics*;
Genome-Wide Association Study;
Humans;
Wnt Signaling Pathway/genetics*
- From:
Journal of Peking University(Health Sciences)
2020;52(5):815-820
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:In this study, we used genome-wide association study (GWAS) data to explore whether WNT pathway genes were associated with non-syndromic oral clefts (NSOC) considering gene-gene interaction and gene-environment interaction.
METHODS:We conducted the analysis using 806 non-syndromic cleft lip with or without cleft palate (NSCL/P) case-parent trios and 202 non-syndromic cleft palate (NSCP) case-parent trios among Chinese populations selected from an international consortium established for a GWAS of non-syndromic oral clefts. Genotype data and maternal environmental exposures were collected through DNA samples and questionnaires. Conditional Logistic regression models were adopted to explore gene-gene interaction and gene-environment in teraction using trio package in R software. The threshold of significance level was set as 3.47×10-4 using Bonferroni correction.
RESULTS:A total of 144 single nucleotide polymorphisms (SNPs) in seven genes passed the quality control process in NSCL/P trios and NSCP trios, respectively. Totally six pairs of SNPs interactions showed statistically significant SNP-SNP interaction (P < 3.47×10-4) after Bonferroni correction, which were rs7618735 (WNT5A) and rs10848543 (WNT5B), rs631948 (WNT11) and rs556874 (WNT5A), and rs631948 (WNT11) and rs472631 (WNT5A) among NSCL/P trios; rs589149 (WNT11) and rs4765834 (WNT5B), rs1402704 (WNT11) and rs358792 (WNT5A), and rs1402704 (WNT11) and rs358793 (WNT5A) among NSCP trios, respectively. In addition, no significant result was found for gene-environment interaction analysis in both of the NSCL/P trios and NSCP trios.
CONCLUSION:Though this study failed to detect significant association based on gene-environment interactions of seven WNT pathway genes and the risk of NSOC, WNT pathway genes may influence the risk of NSOC through potential gene-gene interaction.
