ArticleScientific reports2017
SNP-SNP interactions between WNT4 and WNT5A were associated with obesity related traits in Han Chinese Population.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Detecting epistasis within chromatin regulatory circuitry reveals CAND2 as a novel susceptibility gene for obesity.International journal of obesity (2005) · 2019Pooled it
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- Nucleotide-based genetic networks: Methods and applications.Journal of biosciences · 2022Article
- Association of ECE1 gene polymorphisms and essential hypertension risk in the Northern Han Chinese: A case-control study.Molecular genetics & genomic medicine · 2020Article
- Genome-Wide Search for SNP Interactions in GWAS Data: Algorithm, Feasibility, Replication Using Schizophrenia Datasets.Frontiers in genetics · 2020Article
- Genome-Wide Interaction and Pathway Association Studies for Body Mass Index.Frontiers in genetics · 2019Article
- Nucleotide variation inOncology letters · 2018Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
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
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Registered trials
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