Genetic variants and clinical relevance associated with gestational diabetes mellitus in Chinese women: a case-control study

Yan, Jie; Su, Rina; Ao, Deng; Wang, Yan; Wang, Haijun; Yang, Huixia

doi:10.1080/14767058.2017.1336225

Cited by 8 publications

(7 citation statements)

References 26 publications

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“…As such studies are highly prevalent in the field of pregnancy complication studies, the analysis of candidate gene lists is more comprehensive and provides a high-level snapshot of the major molecular pathways and biological processes involved in the pathogenesis of traits. On the other hand, candidate gene studies are prone to high false positive rates, and most of the genotype-level associations reported in literature have weak statistical support (with a large proportion of studies reporting association p-values between 0.01 and 0.05 (e.g., [13,14]).…”

Section: Pregnancy Complications and Strategies For Their Genetic Analysismentioning

confidence: 99%

“…Various strategies of genetic analysis, such as candidate gene, genome-wide association, and linkage studies, have been applied in different populations to identify genetic variants (including single nucleotide polymorphisms (SNPs)) associated with pregnancy complications [8][9][10][11][12]. Candidate gene analysis usually involves one or several pre-selected genetic variants that are tested in a small cohort of samples (usually, up to 1000) (e.g., [13,14]). Such studies can sensitively identify association between genetic changes and complex traits; however, they are prone to false positive results.…”

Section: Introductionmentioning

confidence: 99%

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A Data-Driven Review of the Genetic Factors of Pregnancy Complications

Barbitoff

Tsarev

Vashukova

et al. 2020

IJMS

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Over the recent years, many advances have been made in the research of the genetic factors of pregnancy complications. In this work, we use publicly available data repositories, such as the National Human Genome Research Institute GWAS Catalog, HuGE Navigator, and the UK Biobank genetic and phenotypic dataset to gain insights into molecular pathways and individual genes behind a set of pregnancy-related traits, including the most studied ones—preeclampsia, gestational diabetes, preterm birth, and placental abruption. Using both HuGE and GWAS Catalog data, we confirm that immune system and, in particular, T-cell related pathways are one of the most important drivers of pregnancy-related traits. Pathway analysis of the data reveals that cell adhesion and matrisome-related genes are also commonly involved in pregnancy pathologies. We also find a large role of metabolic factors that affect not only gestational diabetes, but also the other traits. These shared metabolic genes include IGF2, PPARG, and NOS3. We further discover that the published genetic associations are poorly replicated in the independent UK Biobank cohort. Nevertheless, we find novel genome-wide associations with pregnancy-related traits for the FBLN7, STK32B, and ACTR3B genes, and replicate the effects of the KAZN and TLE1 genes, with the latter being the only gene identified across all data resources. Overall, our analysis highlights central molecular pathways for pregnancy-related traits, and suggests a need to use more accurate and sophisticated association analysis strategies to robustly identify genetic risk factors for pregnancy complications.

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Section: Pregnancy Complications and Strategies For Their Genetic Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Data-Driven Review of the Genetic Factors of Pregnancy Complications

Barbitoff

Tsarev

Vashukova

et al. 2020

IJMS

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“…Asia is the largest and most occupied continent (60% of the world's population), with an increasing prevalence of GDM [4], with 30% of this population encompassing the Eastern and Southeastern subregions [5], which contribute approximately 80% to the Asian economy. The prevalence of GDM among Asian countries varies depending on the population characteristics such as maternal age, socioeconomic status, race/ethnicity, body composition, screening approaches, diagnostic benchmarks [6], presence of T2DM [7], and genetic factors, as well [8].…”

Section: Introductionmentioning

confidence: 99%

Gestational Diabetes Mellitus in Southeast Asia: A Scoping Review

Kunasegaran

Balasubramaniam

Arasoo

et al. 2021

IJERPH

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A rapid increase in the prevalence of gestational diabetes mellitus (GDM) has been associated with various factors such as urbanization, lifestyle changes, adverse hyperglycemic intrauterine environment, and the resulting epigenetic changes. Despite this, the burden of GDM has not been well-assessed in Southeast Asia. We comprehensively reviewed published Southeast Asian studies to identify the current research trend in GDM in this region. Joanna Briggs Institute’s methodology was used to guide the scoping review. The synthesis of literature findings demonstrates almost comparable clinical evidence in terms of risk factors and complications, challenges presented in diagnosing GDM, and its disease management, given the similarities of the underlying population characteristics in Southeast Asia. Evidence suggests that a large proportion of GDM risk in women may be preventable by lifestyle modifications. However, the GDM burden across countries is expected to rise, given the heterogeneity in screening approaches and diagnostic criteria, mainly influenced by economic status. There is an urgent need for concerted efforts by government and nongovernmental sectors to implement national programs to prevent, manage, and monitor the disease.

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“…The global prevalence of GDM varies widely, from 1% to 28%, depending on population characteristics (e.g., maternal age, socioeconomic status, race/ethnicity, or body composition), screening methods, and diagnostic criteria [ 10 ]. In addition, as with the common form of type 2 diabetes [ 11 ], GDM can also be influenced by genetic factors, which may differently affect disease prevalence among populations [ 12 ]. To date, at least 8 associations have developed their own diagnostic criteria for GDM, namely, the American Diabetes Association (ADA 2004, 2007, 2010, and 2012), Australian Diabetes in Pregnancy Society (ADIPS), Carpenter-Coustan (CC), International Association of the Diabetes and Pregnancy Study Groups (IADPSG), International Classification of Diseases (ICD), Japan Society of Obstetrics and Gynecology (JSOG), National Diabetes Data Group (NDDG), and World Health Organization (WHO 1998, 1999, 2006, and 2013) [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Prevalence of Gestational Diabetes Mellitus in Eastern and Southeastern Asia: A Systematic Review and Meta-Analysis

Nguyen

Pham

Binns

et al. 2018

Journal of Diabetes Research

192

148

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Aim To review the prevalence of gestational diabetes mellitus (GDM) in Eastern and Southeastern Asia. Methods We systematically searched for observational studies on GDM prevalence from January 2000 to December 2016. Inclusion criteria were original English papers, with full texts published in peer-reviewed journals. The quality of included studies was evaluated using the guidelines of the National Health and Medical Research Council, Australia. Fixed effects and random effects models were used to estimate the summary prevalence of GDM and the corresponding 95% confidence intervals (CI). Results A total of 4415 papers were screened, and 48 studies with 63 GDM prevalence observations were included in the final review. The pooled prevalence of GDM was 10.1% (95% CI: 6.5%–15.7%), despite substantial variations across nations. The prevalence of GDM in lower- or upper-middle income countries was about 64% higher than in their high-income counterparts. Moreover, the one-step screening method was twice more likely to be used in diagnosing GDM when compared to the two-step screening procedure. Conclusions The prevalence of GDM in Eastern and Southeastern Asia was high and varied among and within countries. There is a need for international uniformity in screening strategies and diagnostic criteria for GDM.

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Genetic variants and clinical relevance associated with gestational diabetes mellitus in Chinese women: a case-control study

Abstract: We found that four SNPs associated with type 2 diabetes and obesity may also increase the risk of developing GDM in the Chinese population. Among these SNPs, we report for the first time that rs945508 in ARHGEF11, rs10804591 in PLXND1 and rs10245353 in NFE2L3 were associated with GDM.

Cited by 8 publications

References 26 publications

A Data-Driven Review of the Genetic Factors of Pregnancy Complications

A Data-Driven Review of the Genetic Factors of Pregnancy Complications

Gestational Diabetes Mellitus in Southeast Asia: A Scoping Review

Prevalence of Gestational Diabetes Mellitus in Eastern and Southeastern Asia: A Systematic Review and Meta-Analysis

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