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SNP-SNP interactions between WNT4 and WNT5A were associated with obesity related traits in Han Chinese Population
Considering the biological roles of WNT4 and WNT5A involved in adipogenesis, we aimed to investigate whether SNPs in WNT4 and WNT5A contribute to obesity related traits in Han Chinese population. Targeted genomic sequence for WNT4 and WNT5A was determined in 100 Han Chinese subjects and tag SNPs wer...
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Published in: | Scientific reports 2017-03, Vol.7 (1), p.43939-43939, Article 43939 |
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Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Considering the biological roles of
WNT4
and
WNT5A
involved in adipogenesis, we aimed to investigate whether SNPs in
WNT4
and
WNT5A
contribute to obesity related traits in Han Chinese population. Targeted genomic sequence for
WNT4
and
WNT5A
was determined in 100 Han Chinese subjects and tag SNPs were selected. Both single SNP and SNP × SNP interaction association analyses with body mass index (BMI) were evaluated in the 100 subjects and another independent sample of 1,627 Han Chinese subjects. Meta-analyses were performed and multiple testing corrections were carried out using the Bonferroni method. Consistent with the Genetic Investigation of ANthropometric Traits (GIANT) dataset results, we didn’t detect significant association signals in single SNP association analyses. However, the interaction between rs2072920 and rs11918967, was associated with BMI after multiple testing corrections (combined
P
= 2.20 × 10
−4
). The signal was also significant in each contributing data set. SNP rs2072920 is located in the 3′-UTR of
WNT4
and SNP rs11918967 is located in the intron of
WNT5A
. Functional annotation results revealed that both SNPs might be involved in transcriptional regulation of gene expression. Our results suggest that a combined effect of SNPs via
WNT4
-
WNT5A
interaction may affect the variation of BMI in Han Chinese population. |
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ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/srep43939 |