Skip to content
DraconiticResearch
Search Sources API
190,332 studies31 sourcesUpdated 9 min ago
Peer-reviewedCC BY-NC-SAInternational Journal of Preventive Medicine

Genetic Variation of ApoE Gene in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Case-Control Studies

2 more authors

Abstract

Background and Aim: Type 2 Diabetes Mellitus (T2DM) is a complex metabolic disorder influenced by genetic and environmental factors. This systematic review and meta-analysis aimed to synthesize recent evidence on the association between ApoE gene polymorphisms and T2DM risk. Methods: This study adhered to PRISMA 2020 and MOOSE guidelines in reporting. Eligible studies were identified through comprehensive literature search in PubMed, Web of Science, and Google Scholar. Data were extracted independently by two reviewers, and study quality was assessed using the Newcastle-Ottawa Scale (NOS). Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were estimated under allelic, dominant, recessive, codominant, and additive (per-allele) genetic models using random-effects meta-analysis. Heterogeneity was assessed with I2 and Cochran’s Q, publication bias with Egger’s test and funnel plots, and robustness with sensitivity and subgroup analyses. A Duval and Tweedie trim-and-fill method was applied where publication bias was suspected. Results: Eleven studies met inclusion criteria, comprising diverse populations from East Asia, the Middle East, South Asia, Africa, and Latin America. In the additive model, a total of 16,685 alleles (7,065 from T2DM cases and 9,620 from controls) were analyzed. The ε4 allele was significantly associated with increased T2DM risk (random-effects OR = 1.25, 95% CI: 1.05–1.48, P = 0.016; fixed-effect OR = 1.30, 95% CI: 1.20–1.42, P < 0.0001). The dominant model (E4 carriers vs non-carriers) showed a similar association (random-effects OR = 1.29, 95% CI: 1.03–1.62). No significant effect was observed in the recessive (E4/E4 vs. others; OR = 1.13, 95% CI: 0.73–1.75) or codominant (E4/E4 vs. E3/E3; OR = 1.20, 95% CI: 0.79–1.82) models. The E3/E4 heterozygote was associated with increased risk (random-effects OR = 1.41, 95% CI: 1.06–1.86). Subgroup analyses indicated stronger associations among Middle Eastern/North African and East Asian populations, with minimal or absent risk in African and Hispanic/Latino cohorts. Genotyping method was also a significant source of heterogeneity. Evidence of publication bias was limited in the main model; however, trim-and-fill analysis indicated possible small-study effects in the additive model. Conclusions: This synthesis provides strong evidence that the ApoE ε4 allele is a genetic risk factor for T2DM, under all models. While findings remained robust after adjustment for potential publication bias, further large-scale, multiethnic studies are required to clarify the exact magnitude of risk and to evaluate the integration of ApoE polymorphism testing into clinical practice for risk stratification.

Related

  1. Online co-care management and glycemic control in patients with type 2 diabetes mellitus: A propensity score-matched retrospective cohort study
    Shujuan Sun, Ge Yang, Hao Tong +4
    PLOS OnePeer-reviewedCC BYFull textGeneral biochemistryGeneral biologyPLOSEurope PMCPMC
  2. Association of SDF-1β (rs1801157) and TCF7L2 (rs12255372) Gene Polymorphisms With Type 2 Diabetes Mellitus in the Bangladeshi Population: A Case-Control Study.
    Md Abdullah Al Mobin, Shahriar Alam Shanto, Eamin Hasnayan +9
    Health science reportsPeer-reviewedCC BY-NC-NDFull textGenetics & genomicsEurope PMCDOAJ
  3. Female sexual dysfunction in premenopausal women with diabetes mellitus in northern Nigeria: A cross-sectional study from two tertiary hospitals examining associations with glycaemic control and reproductive hormones
    Fatima M Damagum, Amina H Hassan, Andrew E Uloko +12
    PLOS OnePeer-reviewedCC BYFull textGeneral biochemistryGeneral biologyPLOSEurope PMCPMC
  4. Association between diabetes mellitus and hearing impairment in the adult Canadian population: data from the Canadian longitudinal study on aging
    Xuan Nhi Nguyen, Adrian Fuente
    BMC Public HealthPeer-reviewedCC BY-NC-ND 4.0NeuroscienceCrossref
  5. Types 1 diabetes mellitus and Graves' disease in Sanjad-Sakati syndrome: a case report in Saudi Arabia.
    Ghada Almasri, Alaa Ahmed Almubayedh, Maryam Zaitoun +2
    Frontiers in endocrinologyPeer-reviewedCC BYFull textGenetics & genomicsEurope PMCCrossref
BibTeX
@article{gupta2026genetic,
  title = {{Genetic Variation of ApoE Gene in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Case-Control Studies}},
  author = {Vedika Gupta and Jnapika Devarapalli and Abhishek Mehan and Quoelee Biswas and Sophia John Bosco and Abhishek Hanumanpratap Singh Kshatri and Saahiti Kammadanam and Uma Chaudhry and Ayushi Gupta and Animesh Kumar Tiwari and Keerthana R and Mansi Trivedi and Akshay V. P. and Delna N. S.},
  journal = {International Journal of Preventive Medicine},
  year = {2026},
  month = sep,
  doi = {10.4103/ijpvm.ijpvm_377_25},
  url = {https://doi.org/10.4103/ijpvm.ijpvm_377_25},
  note = {CC BY-NC-SA},
}
RIS
TY  - JOUR
TI  - Genetic Variation of ApoE Gene in Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Case-Control Studies
AU  - Vedika Gupta
AU  - Jnapika Devarapalli
AU  - Abhishek Mehan
AU  - Quoelee Biswas
AU  - Sophia John Bosco
AU  - Abhishek Hanumanpratap Singh Kshatri
AU  - Saahiti Kammadanam
AU  - Uma Chaudhry
AU  - Ayushi Gupta
AU  - Animesh Kumar Tiwari
AU  - Keerthana R
AU  - Mansi Trivedi
AU  - Akshay V. P.
AU  - Delna N. S.
PY  - 2026
DA  - 2026/09/01
JO  - International Journal of Preventive Medicine
DO  - 10.4103/ijpvm.ijpvm_377_25
UR  - https://doi.org/10.4103/ijpvm.ijpvm_377_25
AB  - Background and Aim: Type 2 Diabetes Mellitus (T2DM) is a complex metabolic disorder influenced by genetic and environmental factors. This systematic review and meta-analysis aimed to synthesize recent evidence on the association between ApoE gene polymorphisms and T2DM risk. Methods: This study adhered to PRISMA 2020 and MOOSE guidelines in reporting. Eligible studies were identified through comprehensive literature search in PubMed, Web of Science, and Google Scholar. Data were extracted independently by two reviewers, and study quality was assessed using the Newcastle-Ottawa Scale (NOS). Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were estimated under allelic, dominant, recessive, codominant, and additive (per-allele) genetic models using random-effects meta-analysis. Heterogeneity was assessed with I2 and Cochran’s Q, publication bias with Egger’s test and funnel plots, and robustness with sensitivity and subgroup analyses. A Duval and Tweedie trim-and-fill method was applied where publication bias was suspected. Results: Eleven studies met inclusion criteria, comprising diverse populations from East Asia, the Middle East, South Asia, Africa, and Latin America. In the additive model, a total of 16,685 alleles (7,065 from T2DM cases and 9,620 from controls) were analyzed. The ε4 allele was significantly associated with increased T2DM risk (random-effects OR = 1.25, 95% CI: 1.05–1.48, P = 0.016; fixed-effect OR = 1.30, 95% CI: 1.20–1.42, P < 0.0001). The dominant model (E4 carriers vs non-carriers) showed a similar association (random-effects OR = 1.29, 95% CI: 1.03–1.62). No significant effect was observed in the recessive (E4/E4 vs. others; OR = 1.13, 95% CI: 0.73–1.75) or codominant (E4/E4 vs. E3/E3; OR = 1.20, 95% CI: 0.79–1.82) models. The E3/E4 heterozygote was associated with increased risk (random-effects OR = 1.41, 95% CI: 1.06–1.86). Subgroup analyses indicated stronger associations among Middle Eastern/North African and East Asian populations, with minimal or absent risk in African and Hispanic/Latino cohorts. Genotyping method was also a significant source of heterogeneity. Evidence of publication bias was limited in the main model; however, trim-and-fill analysis indicated possible small-study effects in the additive model. Conclusions: This synthesis provides strong evidence that the ApoE ε4 allele is a genetic risk factor for T2DM, under all models. While findings remained robust after adjustment for potential publication bias, further large-scale, multiethnic studies are required to clarify the exact magnitude of risk and to evaluate the integration of ApoE polymorphism testing into clinical practice for risk stratification.
SN  - 2008-7802
SN  - 2008-8213
ER  -