SynthesisJournal of epidemiology2018
Quantitative Relationship Between Cumulative Risk Alleles Based on Genome-Wide Association Studies and Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis.
Synthesis in Journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Prevalence and risk factors of gestational diabetes mellitus in Asia: a systematic review and meta-analysis.BMC pregnancy and childbirth · 2018Pooled it
- Hypoglycemia in pregnancy: maternal characteristics and neonatal outcomes from oral glucose tolerance tests.BMC pregnancy and childbirth · 2025Article
- Causal role of immune cells in hypertension: a bidirectional Mendelian randomization study.Frontiers in cardiovascular medicine · 2024Article
- Association of fat mass and obesity-associated (Journal of diabetes and metabolic disorders · 2022Review
- The relationship between polymorphism of insulin-like growth factor I gene and susceptibility to type 2 diabetes in Uygur population, Xinjiang, China.Genes & genomics · 2022Article
- Different prevalence of T2DM risk alleles in Roma population in comparison with the majority Czech population.Molecular genetics & genomic medicine · 2020Article
- Genetics of Human Primary Hypertension: Focus on Hormonal Mechanisms.Endocrine reviews · 2019Review
- Contribution of Adipose Tissue Inflammation to the Development of Type 2 Diabetes Mellitus.Comprehensive Physiology · 2018Review
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many epidemiological studies have assessed the genetic risk of having undiagnosed or of developing type 2 diabetes mellitus (T2DM) using several single nucleotide polymorphisms (SNPs) based on findings of genome-wide association studies (GWAS). However, the quantitative association of cumulative risk alleles (RAs) of such SNPs with T2DM risk has been unclear. The aim of this meta-analysis is to review the strength of the association between cumulative RAs and T2DM risk. Systematic literature searches were conducted for cross-sectional or longitudinal studies that examined odds ratios (ORs) for T2DM in relation to genetic profiles. Logarithm of the estimated OR (log OR) of T2DM for 1 increment in RAs carried (1-ΔRA) in each study was pooled using a random-effects model. There were 46 eligible studies that included 74,880 cases among 249,365 participants. In 32 studies with a cross-sectional design, the pooled OR for T2DM morbidity for 1-ΔRA was 1.16 (95% confidence interval [CI], 1.13-1.19). In 15 studies that had a longitudinal design, the OR for incident T2DM was 1.10 (95% CI, 1.08-1.13). There was large heterogeneity in the magnitude of log OR (P < 0.001 for both cross-sectional studies and longitudinal studies). The top 10 commonly used genes significantly explained the variance in the log OR (P = 0.04 for cross-sectional studies; P = 0.006 for longitudinal studies). The current meta-analysis indicated that carrying 1-ΔRA in T2DM-associated SNPs was associated with a modest risk of prevalent or incident T2DM, although the heterogeneity in the used genes among studies requires us to interpret the results with caution.
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