AIM:Gestational diabetes mellitus (GDM) is a condition of impaired glucose tolerance during pregnancy in women without previous diagnosis of diabetes. It is associated with serious complications for both mother and child in the pre- and postnatal period. Moreover, women with GDM are at an increased risk of developing type 2 diabetes. Adiponectin is an important factor involved in the regulation of both carbohydrate and lipid metabolism. Polymorphisms in its gene (ADIPOQ) are known to affect the individual's predisposition to metabolic syndrome and type 2 diabetes. The aim of the current study was to investigate the possible association between three common single-nucleotide polymorphisms in ADIPOQ and gestational diabetes. METHODS:A total of 394 individuals were recruited to the study-130 pregnant women with GDM, 130 pregnant women without glucose intolerance and 134 female population controls. All subjects were genotyped for rs266729, rs2241766 and rs1501299 in the ADIPOQ gene. RESULTS:A significant association with the disease was observed for rs266729 (p = 0.0037). The rare G allele was found to be over-represented among controls (pregnant, population and pooled). While no association was found for rs2241766 and rs1501299, a GTG haplotype formed by the three polymorphisms was found to be more common among controls (0.004). CONCLUSION:The adiponectin promoter polymorphism rs266729 is associated with gestational diabetes. The minor G allele appears to confer protection against pregnancy-related diabetes mellitus. This effect is probably due to the influence of the variant on the adiponectin transcription regulation during gestation.

Renalase is considered as a novel candidate gene for type 2 diabetes. In this study, we aimed to investigate the relationship of serum renalase and two single nucleotide polymorphisms with gestational diabetes mellitus. One hundred and ninety-eight normotensive pregnant females (n = 99 gestational diabetes mellitus; n = 99 euglycemic pregnant controls) were classified according to the International Association of the Diabetes and Pregnancy Study criteria. Fasting and 2-h post glucose load blood levels and anthropometric assessment was performed. Serum renalase was measured using enzyme-linked immunosorbent assay, whereas DNA samples were genotyped for renalase single nucleotide polymorphisms rs2576178 and rs10887800 using Polymerase chain reaction-Restriction fragment length polymorphism method. In an age-matched case control study, no difference was observed in the serum levels of renalase (p > 0.05). The variant rs10887800 showed an association with gestational diabetes mellitus and remained significant after multiple adjustments (p < 0.05), whereas rs2576178 showed weak association (p = 0.030) that was lost after multiple adjustments (p = 0.09). We inferred a modest association of the rs10887800 polymorphism with gestational diabetes. Although gestational diabetes mellitus is self-reversible, yet presence of this minor G allele might predispose to metabolic syndrome phenotypes in near the future.

Diabetes is currently a growing concern of the age. Prevention and treatment of diabetes is a global health priority. Adiponectin is an adipocyte derived protein hormone that enhances insulin sensitivity and ameliorates diabetes by enhancing fatty acid oxidation and glucose uptake in skeletal muscle and reducing glucose production in the liver. Low serum adiponectin concentrations are associated with diabetes, central obesity, insulin resistance and metabolic syndrome. Adiponectin gene is located on chromosome 3q27, where a locus of susceptibility to diabetes was mapped. Several cross-sectional studies showed that single nucleotide polymorphisms (SNPs) in adiponectin gene (ADIPOQ) were associated with diabetes. SNPs in ADIPOQ help in assessing the association of common variants with levels of adiponectin and the risk of diabetes. Two common SNPs, rs2241766 and rs1501299, have been linked significantly to type 1 diabetes mellitus which endow the world with a block of haplotypes. Experimental evidences also suggest that rs1501299, rs2241766, rs266729, rs17366743, rs17300539, rs182052, rs822396, rs17846866, rs3774261 and rs822393 are significantly associated with type 2 diabetes mellitus which is the predominant form of the disease. In addition, rs2241766 and rs266729 are extensively associated with gestational diabetes, a condition that develops in women during pregnancy. Therefore not a particular single mutation but a number of SNPs in adiponectin gene could be a risk factor for developing diabetes among the individuals worldwide. This study firmly suggests that adiponectin plays a crucial role in the pathogenesis of type 1, type 2 and gestational diabetes mellitus.

Gestational Diabetes Mellitus (GDM) is a highly prevalent maternal pathology characterized by maternal glucose intolerance during pregnancy that is, associated with severe complications for both mother and offspring. Several risk factors have been related to GDM; one of the most important among them is genetic predisposition. Numerous single nucleotide polymorphisms (SNPs) in genes that act at different levels on various tissues, could cause changes in the expression levels and activity of proteins, which result in glucose and insulin metabolism dysfunction. In this review, we describe various SNPs; which according to literature, increase the risk of developing GDM. These SNPs include: (1) those associated with transcription factors that regulate insulin production and excretion, such as rs7903146 () and rs5015480 (); (2) others that cause a decrease in protective hormones against insulin resistance such as rs2241766 () and rs6257 (); (3) SNPs that cause modifications in membrane proteins, generating dysfunction in insulin signaling or cell transport in the case of rs5443 () and rs2237892 (); (4) those associated with enzymes such as rs225014 () and rs9939609 () which cause an impaired metabolism, resulting in an insulin resistance state; and (5) other polymorphisms, those are associated with growth factors such as rs2146323 () and rs755622 () which could cause changes in the expression levels of these proteins, producing endothelial dysfunction and an increase of pro-inflammatory cytokines, characteristic on GDM. While the pathophysiological mechanism is unclear, this review describes various potential effects of these polymorphisms on the predisposition to develop GDM.

Background:Transcription factor 7-like 2 () gene has a significant role in hyperglycemia in pregnancy (HIP) risk. The current study was planned with the aim to evaluate the association of single nucleotide polymorphism (SNP) rs7903146 in patients of newly detected HIP among Indian population of northern region. Methods:This study was an observational case control study done among newly detected HIP (The World Health Organization (WHO) criteria, 2013) and healthy pregnant females without diabetes. Participants from both the group were genotyped for rs7903146 (C/T) variant of gene using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique. Results:A total of 71 cases of newly detected HIP were included in the study, out of which 25 (35.2%) of them were of first-time detected diabetes mellitus in pregnancy (DIP) and 46 (64.7%) were of gestational diabetes (GDM) and 100 were pregnant females without diabetes in third trimester were enrolled as controls. Average age of participants in the case group was 28.7 ± 4.0 years and the control group were 26.5 ± 3.6 years ( value 0.09). The wild homozygous CC genotype, heterozygous CT genotype and homozygous TT genotype were present in 39.4%, 53.5%, 7.1% of case group vs 53%, 43% and 4% of control group, respectively. No significant association of rs7903146(C/T) SNP of TCF7L2 gene in HIP (CC/CT, CC/TT value 0.15, 0.38, respectively) in our population was found. There was no significant difference in the distribution of genotypes between DIP and GDM. Conclusion:This study shows no evidence of association of rs7903146(C/T) SNP of gene with newly detected HIP in our population.

AIMS/HYPOTHESIS:The aim of this study was to assess the interaction between melatonin receptor 1B gene (MTNR1B) rs10830963 polymorphism and lifestyle intervention during pregnancy on occurrence of gestational diabetes mellitus (GDM) in high-risk women. METHODS:This is a secondary analysis of the randomised controlled gestational diabetes prevention trial 'RADIEL', conducted between 2008 and 2014 in four maternity hospitals in southern Finland. A total of 226 women with a history of GDM and/or a pre-pregnancy BMI ≥ 30 kg/m(2) were enrolled at <20 weeks of gestation (mean 13 weeks) and randomised into an intervention group receiving counselling on diet, physical activity and weight control and a control group receiving standard antenatal care. The main outcome was incidence of GDM, defined as one or more pathological glucose values in a standard 75 g 2-h OGTT. The MTNR1B rs10830963 was genotyped for further analyses. RESULTS:No significant differences were found in the genotype distribution between the intervention and the control group. A significant interaction was observed between the rs10830963 genotypes and the lifestyle intervention on age-adjusted occurrence of gestational diabetes (p = 0.038). Among women homozygous for the C allele of rs10830963, the OR for GDM was significantly lower in the intervention group than in the control group (OR 0.16 [95% CI 0.03, 0.85], p = 0.014). This difference was not seen in women heterozygous (OR 0.88 [95% CI 0.32, 2.41], p = 0.798) or homozygous (OR 2.25 [95% CI 0.34, 14.69], p = 0.384) for the risk allele G. CONCLUSIONS/INTERPRETATION:In women at high risk of GDM, only those not carrying the risk allele G benefited from the lifestyle intervention. Our results indicate that certain genetic risk variants may modify the effectiveness of lifestyle interventions. This may provide important information when planning GDM prevention studies in the future.

BACKGROUND AND AIMS:Genetic variants involved in vitamin D metabolism have been associated with diabetes and related syndromes/diseases. We wanted to investigate possible associations of polymorphisms in genes involved in vitamin D metabolism with indices of insulin resistance and insulin secretion, and also with development of diabetes after gestational diabetes mellitus (GDM). MATERIALS AND METHODS:We have studied 376 women with previous GDM. Eight single nucleotide polymorphisms (SNPs) in the genes for vitamin D receptor (VDR) [rs731236, rs7975232, rs10735810, and rs1544410], vitamin D binding protein (DBP) [rs7041 and rs4588], and cytochrome P450 family 27 subfamily B member 1 (CYP27B1) [rs10877012 and rs4646536] were genotyped by TaqMan Allelic Discrimination Assay using the Quantstudio 7 Flex system. A 75-g oral glucose tolerance test (OGTT) was performed 1-2 years postpartum. The homeostasis model assessment of insulin resistance (HOMA-IR) and the disposition index [(insulinogenic index: I30/G30)/HOMA-IR] were used to calculate insulin resistance and insulin secretion, respectively. Serum samples for determination of 25(OH)D3 were collected at the time of the OGTT. Manifestation of diabetes was followed up to five years postpartum. RESULTS:After adjustment for BMI, age, and ethnicity, the A-allele of the VDR rs1544410 polymorphism was found to be associated with increased disposition index (difference per allele = 3.56, 95% CI: 0.4567-6.674; p = 0.03). The A-allele of the DBP rs7041 polymorphism was found to be associated with 25(OH)D3 levels (difference [in nmol/L] per allele = -5.478, 95% CI: -8.315 to -2.641; p = 0.0002), as was the T-allele of the DBP rs4588 polymorphism (OR = -6.319, 95% CI: -9.466 to -3.171; p = 0.0001). None of the SNPs were significantly associated with HOMA-IR or postpartum diabetes. CONCLUSIONS:This study provides evidence that the rs1544410 polymorphism of the VDR gene may be associated with increased insulin secretion in women after pregnancy complicated by GDM. Further studies in other populations are needed to confirm the results.

OBJECTIVES:Gestational diabetes mellitus (GDM) is the carbohydrate intolerance that can occur in pregnancy. Genetic polymorphisms associated with type 2 diabetes could be considered as genetic determinants of GDM. The aim of this study was to examine the association between GCK, GCKR, FADS1, DGKB/TMEM195 and CDKAL1 gene polymorphisms and the development of gestational diabetes. These genetic polymorphisms are involved in glucose and lipid metabolism and are associated with increased risk for diabetes type 2. METHODS:This case-control study included 204 pregnant women with GDM and 207 pregnant women with normal glucose tolerance. The diagnosis of GDM was based on a 75-gram oral glucose tolerance test at 24 to 28 weeks' gestation. RESULTS:There was a statistically significant association between FADS1 rs174550 gene polymorphism and GDM. Among women with GDM, a predominance of C-allele carriers (CC and TC genotypes) was observed (CC+TC vs. TT; p=0.00065; OR=1.97, 95% CI, 1.33 to 2.92), and this association remained significant after correction for multiple testing. In the case of the GCK rs1799884 polymorphism, there was a predominance of the T allele in women with GDM; however, this association reached only borderline statistical significance (p=0.08). Women with higher numbers of GCK rs1799884 T alleles more commonly required insulin treatment; likewise, the CDKAL1 rs10946398 CC genotype was associated with the need for insulin therapy. However, these associations do not pass the statistical significance threshold after correction for multiple testing. CONCLUSIONS:The results of our study suggest an association between the rs174550 FADS1 polymorphism and GDM risk.

BACKGROUND:Obesity may have a role in the development of gestational diabetes mellitus (GDM). Single-nucleotide-polymorphisms (SNPs) of the FTO (fat mass and obesity associated) gene have been associated with obesity. The aim of this study was to investigate SNPs rs8050136, rs9939609, and rs1421085 of the FTO gene in women with GDM and their associations with maternal pre-pregnancy weight and body mass index, gestational weight gain and mediators of insulin resistance in GDM like leptin, adiponectin, ghrelin and tumor necrosis factor-alpha (TNF-alpha), compared with healthy pregnant controls. METHODS:80 women with GDM and 80 women with normal pregnancy were considered for the present study. Genotyping of selected SNPs in all study subjects was done using the Taq-Man assay and the adipokines and ghrelin were measured by immunoassays. Chi square test, odds ratios (OR) and their respective 95% confidence intervals were used to measure the strength of association between FTO SNPs and GDM. RESULTS:There was no association among FTO SNPs and GDM. Interestingly, in GDM group, women carrying the risk alleles of the three SNPs had increased TNF-alpha, and decreased adiponectin levels; these associations remained significant after adjusting for pre-gestational body weight and age. Moreover, the risk allele of rs1421085 was also associated with increased weight gain during pregnancy. CONCLUSIONS:The FTP SNPs rs8050136, rs9939609, and rs1421085 are not a major genetic regulator in the etiology of GDM in the studied ethnic group. However, these SNPs were associated with adiponectin and TNF-alpha concentrations in GDM subjects.

OBJECTIVE:Adipokines play an important role in the pathogenesis of insulin resistance during pregnancy. We studied the association of genetic variants linked with type 2 diabetes in gestational diabetes mellitus (GDM) subjects and its influence on maternal adipokines. STUDY DESIGN:We recruited 25 healthy pregnant women (Controls) and 45 women with GDM at 24-28 weeks of gestation. Maternal blood samples were collected at recruitment and delivery. Adipokines were determined at both sampling times. Genomic DNA was extracted from recruitment samples and FTO rs9939609, TCF7L2 rs4506565, rs7901695, rs12243326, rs12255372 and rs7903146, INSIG2 rs7566605, SREBF1 rs114001633, rs45535737 and rs12941356 and FATP4 rs2003560 genotyped. RESULTS:Serum adiponectin was significantly lower in GDM than Controls at recruitment and showed a similar trend at delivery (p=0.060). In contrast, resistin tended to higher levels in GDM only at recruitment. TCF7L2 rs4506565 (OR=2.31, 95% CI: 1.97-5.01; p=0.031) and FTO rs9939609 (OR=2.17, 95% CI: 1.07-4.41; p=0.039) were associated with GDM risk. Women carrying the T allele of TCF7L2 rs4506565 had increases in plasma resistin of 9.38 μg/L (95% CI 1.39-17.37; p=0.022) per allele; this association remained significant after adjusting for pre-gestational body weight. CONCLUSION:TCF7L2 rs4506565 variant (T/T) is associated with increased risk of GDM and plasma resistin concentrations in women with GDM.

Context:Multiple common genetic variants have been associated with type 2 diabetes, but the mechanism by which they predispose to diabetes is incompletely understood. One such example is variation in which implicates melatonin and its receptor in the pathogenesis of type 2 diabetes. Objective:To characterize the effect of diabetes-associated genetic variation at rs10830963 in the locus on islet function in people without type 2 diabetes. Design:The association of genetic variation at rs10830963 with glucose, insulin, C-peptide, glucagon, and indices of insulin secretion and action were tested in a cohort of 294 individuals who had previously undergone an oral glucose tolerance test (OGTT). Insulin sensitivity, β-cell responsivity to glucose, and Disposition Indices were measured using the oral minimal model. Setting:The Clinical Research and Translation Unit at Mayo Clinic, Rochester, MN. Participants:Two cohorts were utilized for this analysis: 1 cohort was recruited on the basis of prior participation in a population-based study in Olmsted County. The other cohort was recruited on the basis of genotype at rs7903146 from the Mayo Biobank. Intervention:Two-hour, 7-sample OGTT. Main Outcome Measures:Fasting, nadir, and integrated glucagon concentrations. Results:One or 2 copies of the G-allele at rs10830963 were associated with increased postchallenge glucose and glucagon concentrations compared to subjects with the CC genotype. Conclusion:The effects of rs10830963 on glucose homeostasis and predisposition to type 2 diabetes are likely to be partially mediated through changes in α-cell function.

The increased prevalence of obesity worldwide has been implicated in the alarming rise of the incidence of gestational diabetes and preeclampsia, which are both considered threatening conditions for both mother and fetus. We studied gene polymorphisms of the proinflammatory cytokine Interleukin 6 (IL-6) and the gene expression levels of VEGF (vascular endothelial growth factor) and VEGF-R (endothelial growth factor receptor), all known to be involved in pregnancy complications, aiming to identify possible predisposing risk factors in pregnancies with obesity. The G allele of IL-6 was found to correspond with an increased risk for gestational diabetes and preeclampsia occurrence. Furthermore, in obese pregnant mothers with either gestational diabetes or pre-existing type 2 diabetes and those who developed preeclampsia, it was confirmed that gene expression levels of VEGF were reduced while they were increased for VEGF receptors. We conclude that the genetic profile of an obese pregnant woman shares a common background with that of a patient with pre-existing type 2 diabetes mellitus, and therefore predisposes them to complications in pregnancy.

PURPOSE OF REVIEW:In this review, we summarize studies investigating genetics of gestational diabetes mellitus (GDM) and glucose metabolism in pregnancy. We describe these studies in the context of the larger body of literature on type 2 diabetes (T2D) and glycemic trait genomics. RECENT FINDINGS:We reviewed 23 genetic association studies for GDM and performed a meta-analysis, which revealed variants at eight T2D loci significantly associated with GDM after the Bonferroni correction. These studies suggest that GDM and T2D share a number of genetic risk loci. Only two unbiased genome-wide association studies (GWASs) have successfully revealed genetic associations for GDM and related glycemic traits in pregnancy. A GWAS for GDM in Korean women identified two loci (near CDKAL1 and MTNR1B) known to be associated with T2D, though the association of the MTNR1B locus with GDM appears to be stronger than that for T2D. A multi-ethnic GWAS for glycemic traits in pregnancy identified two novel loci (near HKDC1 and BACE2) which appear to be associated with post-load glucose and fasting c-peptide specifically in pregnant women. There are ongoing efforts to use this genetic information, in the form of polygenic scores, to predict risk of GDM and postpartum T2D. The body of literature examining genetic associations with GDM is limited, especially when compared to the available literature on T2D and glycemic trait genomics. Additional genetic discovery for glucose metabolism in pregnant women will require larger pregnancy cohorts and international collaborative efforts. Studies on the clinical implications of these findings are also warranted.

Gestational diabetes (GDM) is the carbohydrate intolerance occurring during pregnancy. The risk factors of GDM include obesity, advanced maternal age, polycystic ovary syndrome, multigravidity, a sedentary lifestyle, and pre-existing hypertension. Additionally, complex genetic and epigenetic processes are also believed to play a crucial role in the development of GDM. In this narrative review, we discuss the role of genetic and epigenetic factors in gestational diabetes mellitus pathogenesis.

Monogenic diabetes occurs in up to 3% of people with diabetes. Mutations in over 40 different genes are responsible. The most common genes affected are HNF1A, HNF4A, GCK, and HNF1B. Additionally, other types of diabetes with a genetic aetiology include neonatal diabetes and diabetes plus syndrome. Each of these genetic subtypes has a different phenotype and requires distinctive treatments. Due to the overlap of monogenic diabetes with type 1 and 2 diabetes and even gestational diabetes, they can often be misdiagnosed. During pregnancy, individual subtypes require treatment that is different from standard diabetes care, so recognition and prompt diagnosis of monogenic diabetes are important to avoid inadequate treatment. We describe the management of monogenic diabetes for the most significant subtypes, focussing on the impact on and management in pregnancy. A genetic diagnosis of diabetes can alter long-term treatment in those with diabetes. In pregnancy and the postnatal period, this can involve specific management changes determined by the gene affected and whether there is a fetal inheritance of the gene. Where inheritance of the genotype influences the outcomes, cell-free fetal testing will hopefully soon become a diagnostic tool for early recognition of fetal mutations.

Gestational diabetes mellitus (GDM) is a common metabolic disorder affecting more than 16 million pregnancies annually worldwide. GDM is related to an increased lifetime risk of type 2 diabetes (T2D), with over a third of women developing T2D within 15 years of their GDM diagnosis. The diseases are hypothesized to share a genetic predisposition, but few studies have sought to uncover the genetic underpinnings of GDM. Most studies have evaluated the impact of T2D loci only, and the three prior genome-wide association studies of GDM have identified only five loci, limiting the power to assess to what extent variants or biological pathways are specific to GDM. We conducted the largest genome-wide association study of GDM to date in 12,332 cases and 131,109 parous female controls in the FinnGen study and identified 13 GDM-associated loci, including nine new loci. Genetic features distinct from T2D were identified both at the locus and genomic scale. Our results suggest that the genetics of GDM risk falls into the following two distinct categories: one part conventional T2D polygenic risk and one part predominantly influencing mechanisms disrupted in pregnancy. Loci with GDM-predominant effects map to genes related to islet cells, central glucose homeostasis, steroidogenesis and placental expression.

Purpose of Review:Adverse pregnancy outcomes (APOs), including hypertensive disorders of pregnancy (HDP), low birthweight (LBW), and preterm birth (PTB), along with peripartum cardiomyopathy (PPCM) are associated with short- and long-term maternal and fetal cardiovascular risks. This review focuses on the genetic contributions to the risk of APOs and PPCM. Recent Findings:The expansion of genome-wide association studies (GWAS) has led to better understanding of the biologic mechanisms underpinning APO, PPCM, and the predisposition to cardiovascular disease across the life course. Genetic loci known to be involved with the risk of hypertension () have been associated with the development of overall HDP and preeclampsia. Additionally, four loci significantly associated with type 2 diabetes have been associated with GDM (. Variants in loci known to affect genes coding for proteins involved in immune cell function and placental health () have been implicated in the development of PTB and future cardiovascular risks for both the mother and the offspring. Genetic similarities in rare variants between PPCM and dilated cardiomyopathy have been described suggesting shared pathophysiologic origins as well as predisposition for future risk of heart failure, highlighting the need for the development PPCM genetic counseling guidelines. Summary:Genetics may inform mechanisms, risk, and counseling for individuals after an APO or PPCM. Through recent advances in genetic techniques and analytic approaches, new insights into the underlying biologic mechanisms and genetic variants leading to these risks have been discovered.

Gestational diabetes mellitus (GDM) is a common complication of pregnancy that adversely affects maternal and offspring health. A variety of risk factors, such as BMI and age, have been associated with increased risks of gestational diabetes. However, in many cases, gestational diabetes occurs in healthy nulliparous women with no obvious risk factors. Emerging data suggest that the tendency to develop gestational diabetes has genetic and environmental components. Here we develop a polygenic risk score for GDM and investigate relationships between its genetic architecture and genetically constructed risk factors and biomarkers. Our results demonstrate that the polygenic risk score can be used as an early screening tool that identifies women at higher risk of GDM before its onset allowing comprehensive monitoring and preventative programs to mitigate the risks.

Paralleling the increasing trends of maternal obesity, gestational diabetes (GDM) has become a global health challenge with significant public health repercussions. In addition to short-term adverse outcomes, such as hypertensive pregnancy disorders and fetal macrosomia, in the long term, GDM results in excess cardiometabolic morbidity in both the mother and child. Recent data suggest that women with GDM are characterized by notable phenotypic and genotypic heterogeneity and that frequencies of adverse obstetric and perinatal outcomes are different between physiologic GDM subtypes. However, as of yet, GDM treatment protocols do not differentiate between these subtypes. Mapping the genetic architecture of GDM, as well as accurate phenotypic and genotypic definitions of GDM, could potentially help in the individualization of GDM treatment and assessment of long-term prognoses. In this narrative review, we outline recent studies exploring genetic risk factors of GDM and later type 2 diabetes (T2D) in women with prior GDM. Further, we discuss the current evidence on gene-lifestyle interactions in the development of these diseases. In addition, we point out specific research gaps that still need to be addressed to better understand the complex genetic and metabolic crosstalk within the mother-placenta-fetus triad that contributes to hyperglycemia in pregnancy.

The aim of this study was to investigate the role of PON1Q192R and L55M single nucleotide polymorphisms(SNPs) and its association with the maternal levels of lipid parameters in gestational diabetes mellitus(GDM) and preeclampsia(PE). Ninety-nine pregnant with GDM, 97 pregnant with PE and 98 healthy pregnant were included in the study. No statistically significant difference was observed in the alleles or in the genotypes frequencies of SNPs between groups. In GDM patients, total cholesterol was higher in MM genotype of L55M gene (p < .05); Lp(a) were lower in LM genotype of the gene compared to their respective control (p < .05). In PE, HDL-C levels were higher in LM genotype (p < .05); LDL-C levels were lower in MM genotype of the gene compared to their respective control (p < .05). In PE patients, malondialdehyde(MDA) were higher in QQ genotype compared to their respective control (p < .05). Triglyceride levels were higher in PE patients with QR genotype compared with GDM patients with QR genotype (p < .05). Our results indicated that lipid profiles, Lp(a) and MDA levels showed significant differences in GDM and PE pregnants. These findings support the importance of the lipid profile, oxidized lipid and Lp(a) in different genotypes of L55M and Q192R in Turkish pregnant women with PE/GDM suggesting their roles in etiopathogenesis in these pregnancy-related disorders.

OBJECTIVES:The etiology of gestational diabetes mellitus (GDM) remains to be fully elucidated. Elevated risk for type 2 diabetes in patients with history of GDM and for GDM in women with familial history of diabetes may suggest that GDM and type 2 diabetes share a common genetic and environmental background. The TCF7L2 (Transcription Factor 7 Like 2) gene is one of the most important genetic factors of the established correlation with type 2 diabetes, and it may also play a role in the pathophysiology of GDM. The aim of the study was to assess the influence of two polymorphisms of the TCF7L2 gene (rs7901695 and rs7903146), which are associated with the development of type 2 diabetes, in women with GDM. MATERIAL AND METHODS:The study included 50 women with glucose tolerance disorders diagnosed for the first time during the current pregnancy. Single nucleotide polymorphisms (SNPs) were genotyped using allelic discrimination. The results were confirmed using the sequencing method. Selected clinical parameters were also analyzed. RESULTS:No correlation between the studied polymorphisms of the TCF7L2 gene and GDM was observed. Glycemic control with diet or diet and insulin was associated with better control of the weight gain during pregnancy. CONCLUSIONS:No correlation between rs7903146 and rs7901695 polymorphisms of the TCF7L2 gene and GDM was found. Glycemic control with diet or diet and insulin is associated with better control of the weight gain during pregnancy.

Gestational diabetes mellitus (GDM) is defined as hyperglycemia detected during pregnancy and its risk is increased with obesity. Chemerin, an adipokine, has been proposed as potential mediators of insulin resistance in GDM. This case-control study was designed to assess the relation between chemerin SNPs rs4721 (or rs10278590) and rs17173608 and the development of GDM. One hundred thirty GDM pregnant women with GDM and 160 healthy pregnant women were enrolled in this study. The diagnosis of GDM was based on the International Association of Diabetes and Pregnancy Study Group (IADPSG) criteria. Chemerin rs4721 polymorphism gene was amplified through PCR, and SNP was detected using restriction enzyme AluI. Genotyping for chemerin rs17173608 polymorphism was performed by using tetra-amplification refractory mutation system polymerase chain reaction (T-ARMS-PCR). Blood glucose level was measured by an enzymatic method. Our finding showed that the genotypes frequency of chemerin rs4721 polymorphism was significantly different between GDM and non-GDM groups (χ = 7.44, P = 0.02). The genotype of rs4721 was significantly associated with GDM in co-dominant and dominant genotypes (GG vs GT, OR = 2.3, 95%CI = 1.24-4.24, P = 0.008, and GG vs GT + TT, OR = 2.21, 95%CI = 1.23-3.99, P = 0.008, respectively). No significant difference was observed in allele frequency between case and control groups (P = 0.62). Moreover, the genotypes and allele frequencies of chemerin rs17173608 polymorphism did not show significant differences between GDM and non-GDM (P > 0.05). We concluded that the genotype of rs4721 was found to contribute significant risk to GDM while genotype of rs17173608 could not predict the risk of GDM.

BACKGROUND:Gestational diabetes (GDM) is a more common problem in India than in many other parts of the world but it is not known whether this is due to unique environmental factors or a unique genetic background. To address this question we examined whether the same genetic variants associated with GDM and Type 2 Diabetes (T2D) in Caucasians also were associated with GDM in North Indian women. METHODS:Five thousand one hundred pregnant women of gestational age 24-28 weeks from Punjab were studied by a 75 g oral glucose tolerance test (OGTT). GDM was diagnosed by both WHO1999 and 2013 criteria. 79 single nucleotide polymorphisms (SNPs) previously associated with T2D and glycemic traits (12 of them also with GDM) and 6 SNPs from previous T2D associations based on Indian population (some also with European) were genotyped on a Sequenom platform or using Taqman assays in DNA from 4018 women. RESULTS:In support of previous findings in Caucasian GDM, SNPs at KCJN11 and GRB14 loci were nominally associated with GDM1999 risk in Indian women (both p = 0.02). Notably, T2D risk alleles of the variant rs1552224 near CENTD2, rs11708067 in ADCY5 and rs11605924 in CRY2 genes associated with protection from GDM regardless of criteria applied (p < 0.025). SNPs rs7607980 near COBLL1 (p = 0.0001), rs13389219 near GRB14 (p = 0.026) and rs10423928 in the GIPR gene (p = 0.012) as well as the genetic risk score (GRS) for these previously shown insulin resistance loci here associated with insulin resistance defined by HOMA2-IR and showed a trend towards GDM. GRS comprised of 3 insulin secretion loci here associated with insulin secretion but not GDM. CONCLUSIONS:GDM in women from Punjab in Northern India shows a genetic component, seemingly driven by insulin resistance and secretion and partly shared with GDM in other parts of the world. Most previous T2D loci discovered in European studies did not associate with GDM in North India, indicative of different genetic etiology or alternately, differences in the linkage disequilibrium (LD) structure between populations in which the associated SNPs were identified and Northern Indian women. Interestingly some T2D risk variants were in fact indicative of being protective for GDM in these Indian women.

Gestational diabetes (GDM) and type 2 diabetes (T2DM) share part of pathomechanism and several T2DM susceptibility genes are demonstrated to be associated with GDM. No information on the genetics of GDM, however, was available in Japanese women. In this study, T2DM risk variants (45 single nucleotide polymorphisms [SNPs] from 36 genes) identified in previous studies were genotyped using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry in a cohort of 171 Japanese women with GDM and 128 normal glucose tolerance (NGT) diagnosed by the new International Association of Diabetes in Pregnancy Study Group criteria. Of 45 SNPs, three genetic variants were nominally associated with the development of GDM: rs266729 (p = 0.013, odds ratio [OR]: 1.56, 95% confidence interval [CI]: 1.10-2.23) in ADIPOQ, rs10811661 (p = 0.035, OR: 1.46, 95% CI: 1.03-2.08) in CDKN2A/2B, and rs9505118 (p = 0.046, OR: 1.41, 95% CI: 1.01-1.97) in SSR1-RREB1. There was a significant difference in the number of risk alleles of three variants between women with GDM and NGT (3.79 ± 1.33 vs. 3.05 ± 1.41, p = 6.0 × 10). In combined analysis of three genetic variants, women with five or more risk alleles had a 7.32-fold increased risk of GDM (p = 5.6 × 10, 95% CI: 4.54-11.96), compared with those having no more than one risk allele. Our results suggest several risk variants of T2DM had cumulative effects on the development of GDM in Japanese women.

BACKGROUND:Genetic variants in the transcription factor 7-like 2 (TCF7L2) gene are related with type 2 diabetes (T2D) and gestational diabetes mellitus (GDM) in various populations, but there are not enough statistics regarding GDM among Egyptian women. We aimed by this study to evaluate the effect of two polymorphisms of rs7903146 and rs12255372 in the TCF7L2 gene with the development of GDM among Egyptian women. RESULTS:We enrolled 114 pregnant women with normal glucose tolerance and 114 with GDM according to the International Association of Diabetes and Pregnancy Study Groups (IADPSG) guidelines. We gathered records on blood pressure, body mass index (BMI), blood glucose level, hemoglobin A1C (HbA1c), and lipid profile. The genotyping of rs7903146 and rs12255372 polymorphisms was carried out using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The statistical significance of prepregnancy BMI, fasting blood sugar (FBS), HbA1c, low-density lipoprotein (LDL), and total cholesterol (Tch) was higher, P < 0.001, in GDM women in comparison to pregnant women without GDM. CT and TT genotypes in rs7903146 SNP were 46.5% vs. 54%, P <0.04, OR; CI = 1.9 (1.0 to 3.78); TT carriers were 37.7% vs. 9.6%, P <0.001, OR (CI) = 8.9 (3.7-21.1), respectively. For the TCFL2 gene rs12255372 SNP, GT carriers were 48.2% vs. 39.5%, P= 0.004, OR (CI) = 2.3 (1.3-4.2), while TT carriers were 24.6% vs. 7.9%, P < 0.001, OR (CI) = 6 (2.5-14.3). CONCLUSION:The study showed there is a significantly higher incidence of CT/TT genotypes in rs7903146 SNP and GT/TT genotypes in rs12255372 SNP in TCF7L2 gene among GDM women in comparison to healthy pregnant women (controls).

BACKGROUND AND AIMS:The purpose of the study was to conduct a comparative analysis of population frequencies of alleles and genotypes of polymorphic variants of genes for impaired insulin synthesis and associated with insulin signal transduction. METHODS:This investigation uses a genomic database of 1800 conditionally healthy individuals of Kazakh ethnicity, who underwent full genome genotyping using OmniChip 2.5-8 Illumina chips of ∼2.5 million Single Nucleotide Polymorphism at deCODE Iceland Genomic Centre. RESULTS:The highest frequency of carriage of minor A allele - 17.6% rs4607517 polymorphism of Glucokinase gene, unfavorable genotypes A/G - 29.5% and A/A - 3.0% in comparison with European and Asian populations, indicates a contribution of hereditary family forms of Maturity-onset diabetes of the young type 2 to gestational diabetes mellitus in Kazakh population. CONCLUSIONS:The study of the associations of genetic markers of gestational diabetes mellitus will allow timely identification of high-risk groups before and at an early stage of pregnancy, carrying out the necessary effective preventive measures and, in the case of gestational diabetes mellitus development, optimizing the correction of carbohydrate metabolism disorders and predicting outcomes for the mother and the fetus.

Several studies have associated the presence of ADIPOQ gene polymorphisms with insulin resistance, adiponectin levels, and metabolic diseases such as diabetes, although with varying degrees of correlation depending on ethnicity. Here we aim to identify individual's susceptibility to gestational diabetes mellitus (GDM) in the presence of T45G and G276T single nucleotide polymorphisms (SNPs) within the ADIPOQ gene among Filipino pregnant women. A total of 285 pregnant women (95 GDM cases and 190 controls) were included in this study. Two ADIPOQ gene polymorphisms were genotyped using TaqMan assay. Results of SNP genotyping showed no significant differences in the frequencies of TT, TG and GG genotypes of T45G SNP between the GDM and control group [p = 1.0000, 0.6179, 0.5797; OR (95%CI) = 1.030 (0.582-1.874), 1.135 (0.683-1.828), 0.833 (0.481-1.420)]. Similarly, the frequencies of GG, GT, and TT genotypes of G276T SNP were comparable in both groups [p = 0.8002, 1.0000, 0.3466; OR (95%CI) = 1.090 (0.654-1.785), 1.022 (0.616-1.665), 0.433 (0.092-1.698)]. Moreover, although adiponectin levels were significantly decreased in GDM group (p = 0.0196) and have shown substantial negative correlations with FBS, 1-hour OGTT, 2-hour OGTT, and HOMA-IR (p < 0.05), they were not significantly different according to genotypes of T45G and G276T polymorphisms both in GDM and control group. Our results suggest that neither of the two ADIPOQ gene polymorphisms influence adiponectin levels and development of GDM in a Filipino population.