Lack of association between IGF2BP2 rs4402960 polymorphism and gestational diabetes mellitus: a case–control study, meta-analysis and trial sequential analysis

Liu, Jing; Song, Guang; Zhao, Ge; Meng, Ting

doi:10.1042/bsr20200990

Cited by 13 publications

(11 citation statements)

References 24 publications

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“…However, our data are supported by a recent meta-analysis which comprehensively quantified the association between the IGF2BP2 rs4402960 polymorphism and GDM risk and with sufficient statistical evidence supported the null association (34).…”

Section: Discussionsupporting

confidence: 80%

Association of Common Genetic Risk Variants With Gestational Diabetes Mellitus and Their Role in GDM Prediction

et al. 2021

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ObjectiveWe aimed to explore the associations between common genetic risk variants with gestational diabetes mellitus (GDM) risk in Russian women and to assess their utility in the identification of GDM cases.MethodsWe conducted a case-control study including 1,142 pregnant women (688 GDM cases and 454 controls) enrolled at Almazov National Medical Research Centre. The International Association of Diabetes and Pregnancy Study Groups criteria were used to diagnose GDM. A total of 11 single- nucleotide polymorphisms (SNPs), including those in HKDC1 (rs10762264), GCK (rs1799884), MTNR1B (rs10830963 and rs1387153), TCF7L2 (rs7903146 and rs12255372), KCNJ11 (rs5219), IGF2BP2 (rs4402960), IRS1 (rs1801278), FTO (rs9939609), and CDKAL1 (rs7754840) were genotyped using Taqman assays. A logistic regression model was used to calculate odds ratios (ORs) and their confidence intervals (CIs). A simple-count genetic risk score (GRS) was calculated using 6 SNPs. The area under the receiver operating characteristic curve (c-statistic) was calculated for the logistic regression model predicting the risk of GDM using clinical covariates, SNPs that had shown a significant association with GDM in our study, GRS, and their combinations.ResultsTwo variants in MTNR1B (rs1387153 and rs10830963) demonstrated a significant association with an increased risk of GDM. The association remained significant after adjustment for age, pre-gestational BMI, arterial hypertension, GDM in history, impaired glucose tolerance, polycystic ovary syndrome, family history of diabetes, and parity (P = 0.001 and P < 0.001, respectively). After being conditioned by each other, the effect of rs1387153 on GDM predisposition weakened while the effect of rs10830963 remained significant (P = 0.004). The risk of GDM was predicted by clinical variables (c-statistic 0.712, 95 % CI: 0.675 – 0.749), and the accuracy of prediction was modestly improved by adding GRS to the model (0.719, 95 % CI 0.682 – 0.755), and more by adding only rs10830963 (0.729, 95 % CI 0.693 – 0.764).ConclusionAmong 11 SNPs associated with T2D and/or GDM in other populations, we confirmed significant association with GDM for two variants in MTNR1B in Russian women. However, these variants showed limited value in the identification of GDM cases.

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Section: Discussionsupporting

confidence: 80%

Association of Common Genetic Risk Variants With Gestational Diabetes Mellitus and Their Role in GDM Prediction

et al. 2021

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“…It is important to affirm the role of the family history of diabetes as an independent risk factor for GDM-1 and -2, as this information is available in early pregnancy and even before pregnancy. Thus far, many candidate genes have been identified, although not all the results are conclusive and they require further investigation [ 26 , 27 , 28 , 29 , 30 , 31 , 39 ].…”

Section: Discussionmentioning

confidence: 99%

Gestational Diabetes Mellitus (GDM) Risk for Declared Family History of Diabetes, in Combination with BMI Categories

Lewandowska

2021

IJERPH

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Whether categories of family history of diabetes can act as independent risk factors for gestational diabetes mellitus (GDM-1, -2) has not yet been established, and neither has it been established how categories of body mass index (BMI) affect these relationships. A group of 912 women without chronic diseases, recruited in the first trimester, was investigated: 125 (13.7%) women developed GDM-1 (treated with diet); 21 (2.3%) women developed GDM-2 (treated with insulin); and a control group consisted of 766 non-diabetic women. A multiple logistic regression was used to evaluate adjusted odds ratios (AOR (95% confidence intervals)) of GDM-1 and GDM-2 for declared diabetes in the parents or grandparents (separately). These relationships were investigated in the whole cohort and subgroups of pre-pregnancy BMI. (1) Some categories of the family history were independent risk factors of GDM-1 or GDM-2. Compared to ‘absence of diabetes in the family’, women with diabetes in the father had a 3.68-fold increase in GDM-1 risk (AOR-b = 3.68 (2.23–6.07)), and women with diabetes in the mother had a 2.13-fold increase in GDM-1 risk (AOR-b = 2.13 (1.1−4.14)) and a 4.73-fold increase in GDM-2 risk (AOR-b = 4.73 (1.26−17.77)). Women with diabetes in the grandmother had a 2.34-fold increase in GDM-1 risk (AOR-b = 2.34 (1.29−4.24)). (2) The cumulative assessment of diabetes in the parents and/or grandparents was not related to the intensification of the risk of GDM, except for the increased risk of GDM-1 for diabetes in both mother and grandmothers simultaneously (AOR-b = 8.80 (1.16−66.57)), however, this group was very small. (3) The analyses in the subgroups of BMI categories showed that diabetes in the father was also an independent risk factor of GDM in the subgroup of pregnant women with normal BMI. In the subgroups of overweight and/or obesity, the risk of GDM for paternal and maternal diabetes was approximately twice as high as compared to the results of pregnant women with normal BMIs. Additionally, apart from the maternal influence of diabetes, the results suggest a significant influence of diabetes in the father on the risk of GDM, even (interestingly) in lean pregnant women.

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“…Moreover, IGF2BP2 rs4402960 is strongly associated with the development of gestational diabetes mellitus (GDM), besides being a potential diagnostic marker for GDM as well [42]. However, no association has been found between IGF2BP2 rs4402960 polymorphism and the risk of developing GDM in Polish [43] and Chinese [44] population, but it influence the length of gestation period and health (based on Apgar scores) of newborns in these populations.…”

Section: Expression Of Igf2bp2 Rs4402960 and Rs1470579 In Diabetesmentioning

confidence: 99%

“…IGF2BP2 rs11705701 has been associated with low body fat, which contributes to insulin resistance and consequently T2D risk in Mexican American population [53]. IGF2BP2 rs11705701 has also been associated with Japanese population \ [32] Asians \ [27,33] Iceland's population Decreased fasting insulin levels, impaired β-cell function [34] Greek-Cypriot population \ [35] Czech population \ [26] Germany population \ [33,36] Lebanese Arabs \ [37] Arab population \ [38] Moroccan population \ [38] Tunisian population \ [39] India's population \ [40] \ Predict the occurrence and diagnosis of GDM [43] Poland population Influenced the length of gestation and the Apgar scores of newborns [44] rs1470579 Chinese Han population Reduced the therapeutic efficacy of repaglinide and the effect of pioglitazone on PPG, TG, and HDL-C [29,30,42] Lebanese population \ [46] Iranian population \ [47] rs11705701 Mexican American population Affected insulin resistance [53] Russian population Contributed to T2D risk, decreased levels of p58 and increased levels of p66 of the IGF2BP2 in adipose tissue of non-obese individuals [51] Poland population Influenced the length of gestation and the Apgar scores of newborns [44] \ Associated with prediabetes [54] rs9826022 \ \ [48] rs11927381 Chinese Han population \ [55] rs7640539 [55] rs6777038 \ Associated with GADA negative diabetes [56] rs16860234 rs7651090…”

Section: Other Igf2bp2 Snps In Diabetesmentioning

confidence: 99%

The role of IGF2BP2, an m6A reader gene, in human metabolic diseases and cancers

2021

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The human insulin-like growth factor 2 (IGF2) mRNA binding proteins 2 (IGF2BP2/IMP2) is an RNA-binding protein that regulates multiple biological processes. Previously, IGF2BP2 was thought to be a type 2 diabetes (T2D)-associated gene. Indeed IGF2BP2 modulates cellular metabolism in human metabolic diseases such as diabetes, obesity and fatty liver through post-transcriptional regulation of numerous genes in multiple cell types. Emerging evidence shows that IGF2BP2 is an N6-methyladenosine (m6A) reader that participates in the development and progression of cancers by communicating with different RNAs such as microRNAs (miRNAs), messenger RNAs (mRNAs) and long non-coding RNAs (lncRNAs). Additionally, IGF2BP2 is an independent prognostic factor for multiple cancer types. In this review, we summarize the current knowledge on IGF2BP2 with regard to diverse human metabolic diseases and its potential for cancer prognosis.

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Lack of association between IGF2BP2 rs4402960 polymorphism and gestational diabetes mellitus: a case–control study, meta-analysis and trial sequential analysis

Cited by 13 publications

References 24 publications

Association of Common Genetic Risk Variants With Gestational Diabetes Mellitus and Their Role in GDM Prediction

Association of Common Genetic Risk Variants With Gestational Diabetes Mellitus and Their Role in GDM Prediction

Gestational Diabetes Mellitus (GDM) Risk for Declared Family History of Diabetes, in Combination with BMI Categories

The role of IGF2BP2, an m6A reader gene, in human metabolic diseases and cancers

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