SynthesisPloS one2012
Hematopoietically-expressed homeobox gene three widely-evaluated polymorphisms and risk for diabetes: a meta-analysis.
Synthesis in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Molecular Genetics of β-Cell Compensation in Gestational Diabetes Mellitus: Insights from CDKAL1, SLC30A8 and HHEX.International journal of molecular sciences · 2026Review
- Gender-specific genetic influence of rs1111875 on diabetes risk: Insights from the Taiwan biobank study.Journal of diabetes investigation · 2025Article
- Association of common single-nucleotide polymorphism of HHEX with type 2 diabetes mellitus.Journal of diabetes and metabolic disorders · 2024Article
- A critical review on therapeutic approaches of CRISPR-Cas9 in diabetes mellitus.Naunyn-Schmiedeberg's archives of pharmacology · 2023Review
- Unraveling the Influence ofInternational journal of molecular sciences · 2022Article
- Contribution of genetic variant identified inSaudi journal of biological sciences · 2022Article
- Pathophysiological Role of Genetic Factors Associated With Gestational Diabetes Mellitus.Frontiers in physiology · 2022Review
- Article
- Association of CDKAL1, CDKN2A/B & HHEX gene polymorphisms with type 2 diabetes mellitus in the population of Hyderabad, India.The Indian journal of medical research · 2016Article
- Diabetes mellitus: The epidemic of the century.World journal of diabetes · 2015Review
- Genetics of type 2 diabetes.World journal of diabetes · 2013Article
- Pregnancy Complications and the Risk of Metabolic Syndrome for the Offspring.Current cardiovascular risk reports · 2013Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe hematopoietically-expressed homeobox (HHEX) gene is identified as a promising candidate for type 2 diabetes by genome-wide association studies, triggering plenty of subsequent replications; however, the results are conflicting. We therefore conducted a meta-analysis of three widely-evaluated polymorphisms in HHEX gene and diabetes risk. METHODOLOGY/PRINCIPAL
findingsA random-effects model was adopted irrespective of heterogeneity. Data and study quality were assessed in duplicate. There were 49 studies (cases/controls: 57931/74658) for rs1111875, 18 studies (18227/30366) for rs5015480 and 26 studies (25725/30579) for rs7923837, respectively. Overall analyses indicated that rs1111875-C allele (odds ratio [OR] = 1.16; 95% confidence interval [CI]: 1.13-1.2; P<0.0005), rs5015480-C allele (OR = 1.16; 95% CI: 1.06-1.26; P = 0.001) and rs7923837-G allele (OR = 1.18; 95% CI: 1.12-1.24; P<0.0005) conferred significantly increased risk for type 2 diabetes, yet accompanying moderate to strong evidence of heterogeneity. Despite vast divergence in allele distributions, subgroup analyses by ethnicity showed comparable risk estimates between Asians and Caucasians for three examined polymorphisms. Moreover, results of studies with hospital-based controls deviated greatly from that of all qualified studies, especially for rs7923837-G allele carrying a doubled risk (OR = 1.37 versus 1.18). Furthermore, when only large studies (≥ 500 case-patients) were considered, risk effects were identical to the overall estimates for three examined polymorphisms. The Begg's funnel plot and Egger's test indicated low probability of publication bias.
conclusionsOur results provide clarification to the significant association of rs1111875, rs5015480 and rs7923837 in HHEX gene with type 2 diabetes.
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