ArticleMeta gene2014
Four pairs of gene-gene interactions associated with increased risk for type 2 diabetes (CDKN2BAS-KCNJ11), obesity (SLC2A9-IGF2BP2, FTO-APOA5), and hypertension (MC4R-IGF2BP2) in Chinese women.
Article in Meta gene, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Rs10757274 gene polymorphisms in coronary artery disease: A systematic review and a meta-analysis.Medicine · 2020Pooled it
- Detecting epistasis within chromatin regulatory circuitry reveals CAND2 as a novel susceptibility gene for obesity.International journal of obesity (2005) · 2019Pooled it
- Genetic Insights Into Type 2 Diabetes Mellitus Susceptibility: A Case-Control Study of theGenetics research · 2025Article
- The Advent of Nutrigenomics: A Narrative Review with an Emphasis on Psychological Disorders.Preventive nutrition and food science · 2022Review
- Article
- Review
- Hypertension in diabetes and the risk of cardiovascular disease.Cardiovascular endocrinology · 2017Review
- CDKN2BAS polymorphisms are associated with coronary heart disease risk a Han Chinese population.Oncotarget · 2016Article
- Review
- Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic disorders including type 2 diabetes, obesity and hypertension have growing prevalence globally every year. Genome-wide association studies have successfully identified many genetic markers associated to these diseases, but few studied their interaction effects. In this study, twenty candidate SNPs from sixteen genes are selected, and a lasso-multiple regression approach is implemented to consider the SNP-SNP interactions among them in an Asian population. It is found out that the main effects of the markers are weak but the interactions among the candidates showed a significant association to diseases. SNPs from genes CDKN2BAS and KCNJ11 are significantly associated to risk for developing diabetes, and SNPs from FTO and APOA5 might interact to play an important role for the onset of hypertension.
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