IDF Diabetes Atlas. 10th edition. https://diabetesatlas.org/idfawp/resource-files/2021/07/IDF_Atlas_10th_Edition_2021.pdf. Accessed 6 May 2022.
IDF Diabetes Atlas. 9th edition. https://diabetesatlas.org/atlas/ninth-edition/. Accessed 6 May 2022.
Stotland NE, Caughey AB, Breed EM, Escobar GJ. Risk factors and obstetric complications associated with macrosomia. Int J Gynecol Obstet. 2005;90:88–88.
Article
Google Scholar
Bellamy L, Casas JP, Hingorani AD, Williams D. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet. 2009;373:1773–9.
Article
CAS
Google Scholar
Moon JH, Jang HC. Gestational diabetes mellitus: diagnostic approaches and maternal-offspring complications. Diabetes Metab J. 2022;46:3–14.
Article
Google Scholar
Sweeting A, Wong J, Murphy HR, Ross GP. A clinical update on gestational diabetes mellitus. Endocr Rev. 2022. https://doi.org/10.1210/endrev/bnac003.
Article
Google Scholar
Li JW, He SY, Liu P, Luo L, Zhao L, Xiao YB. Association of gestational diabetes mellitus (GDM) with subclinical atherosclerosis: a systemic review and meta-analysis. BMC Cardiovasc Disord. 2014;14:132.
Article
Google Scholar
Pathirana MM, Lassi ZS, Ali A, Arstall MA, Roberts CT, Andraweera PH. Association between metabolic syndrome and gestational diabetes mellitus in women and their children: a systematic review and meta-analysis. Endocrine. 2021;71:310–20.
Article
CAS
Google Scholar
Tranidou A, Dagklis T, Tsakiridis I, Siargkas A, Apostolopoulou A, Mamopoulos A, Goulis DG, Chourdakis M. Risk of developing metabolic syndrome after gestational diabetes mellitus—a systematic review and meta-analysis. J Endocrinol Invest. 2021;44:1139–49.
Article
CAS
Google Scholar
Fu J, Retnakaran R. The life course perspective of gestational diabetes: an opportunity for the prevention of diabetes and heart disease in women. EClinicalMedicine. 2022;45:101294.
Article
Google Scholar
Flachs Madsen LR, Gerdoe-Kristensen S, Lauenborg J, Damm P, Kesmodel US, Lynge E. Long-term follow-up on morbidity among women With a history of gestational diabetes mellitus: a systematic review. J Clin Endocrinol Metab. 2022;107:2411–23.
Article
Google Scholar
Bulletins-Obstetrics C. ACOG practice bulletin no. 190: gestational diabetes mellitus. Obstet Gynecol. 2018;131(2):e49-64.
Article
Google Scholar
Catalano PM, Hauguel-De Mouzon S. Is it time to revisit the Pedersen hypothesis in the face of the obesity epidemic? Am J Obstet Gynecol. 2011;204:479–87.
Article
Google Scholar
Friedman JE. Obesity and gestational diabetes mellitus pathways for programming in mouse, monkey, and man-where do we go next? Diabetes Care. 2015;38:1402–11.
Article
CAS
Google Scholar
Tocantins C, Diniz MS, Grilo LF, Pereira SP. The birth of cardiac disease: mechanisms linking gestational diabetes mellitus and early onset of cardiovascular disease in offspring. WIREs Mech Dis. 2022;14:e1555.
CAS
Google Scholar
Plows JF, Stanley JL, Baker PN, Reynolds CM, Vickers MH. The pathophysiology of gestational diabetes mellitus. Int J Mol Sci. 2018. https://doi.org/10.3390/ijms19113342.
Article
Google Scholar
de Mendonca E, Fragoso MBT, de Oliveira JM, Xavier JA, Goulart MOF, de Oliveira ACM. Gestational diabetes mellitus: the crosslink among inflammation, nitroxidative stress, intestinal microbiota and alternative therapies. Antioxidant. 2022. https://doi.org/10.3390/antiox11010129.
Article
Google Scholar
Hod M, Kapur A, Sacks DA, Hadar E, Agarwal M, Di Renzo GC, Cabero Roura L, McIntyre HD, Morris JL, Divakar H. The International Federation of Gynecology and Obstetrics (FIGO) Initiative on gestational diabetes mellitus: a pragmatic guide for diagnosis, management, and care. Int J Gynaecol Obstet. 2015;131(Suppl 3):S173-211.
Article
Google Scholar
Petry CJ. Gestational diabetes: risk factors and recent advances in its genetics and treatment. Br J Nutr. 2010;104:775–87.
Article
CAS
Google Scholar
Powe CE, Kwak SH. Genetic studies of gestational diabetes and glucose metabolism in pregnancy. Curr Diab Rep. 2020;20:69.
Article
Google Scholar
Abu Samra N, Jelinek HF, Alsafar H, Asghar F, Seoud M, Hussein SM, Mubarak HM, Anwar S, Memon M, Afify N, et al. Genomics and epigenomics of gestational diabetes mellitus: understanding the molecular pathways of the disease pathogenesis. Int J Mol Sci. 2022. https://doi.org/10.3390/ijms23073514.
Article
Google Scholar
Martin AO, Simpson JL, Ober C, Freinkel N. Frequency of diabetes mellitus in mothers of probands with gestational diabetes: possible maternal influence on the predisposition to gestational diabetes. Am J Obstet Gynecol. 1985;151:471–5.
Article
CAS
Google Scholar
Williams MA, Qiu C, Dempsey JC, Luthy DA. Familial aggregation of type 2 diabetes and chronic hypertension in women with gestational diabetes mellitus. J Reprod Med. 2003;48:955–62.
Google Scholar
Liu S, Liu Y, Liao S. Heterogeneous impact of type 2 diabetes mellitus-related genetic variants on gestational glycemic traits: review and future research needs. Mol Genet Genomics. 2019;294:811–47.
Article
CAS
Google Scholar
Ortega-Contreras B, Armella A, Appel J, Mennickent D, Araya J, Gonzalez M, Castro E, Obregon AM, Lamperti L, Gutierrez J, Guzman-Gutierrez E. Pathophysiological role of genetic factors associated with gestational diabetes mellitus. Front Physiol. 2022;13:769924.
Article
CAS
Google Scholar
Kwak SH, Kim SH, Cho YM, Go MJ, Cho YS, Choi SH, Moon MK, Jung HS, Shin HD, Kang HM, et al. A genome-wide association study of gestational diabetes mellitus in Korean women. Diabetes. 2012;61:531–41.
Article
CAS
Google Scholar
Wu NN, Zhao D, Ma W, Lang JN, Liu SM, Fu Y, Wang X, Wang ZW, Li Q. A genome-wide association study of gestational diabetes mellitus in Chinese women. J Matern Fetal Neonatal Med. 2021;34:1557–64.
Article
CAS
Google Scholar
Chinese Society of Obstetrics. Chinese medical association: diagnosis and therapy guideline of pregnancy with diabetes mellitus. Zhonghua Fu Chan Ke Za Zhi. 2014;49:561–9.
Google Scholar
Lamain-de Ruiter M, Kwee A, Naaktgeboren CA, Franx A, Moons KGM, Koster MPH. Prediction models for the risk of gestational diabetes: a systematic review. Diagn Progn Res. 2017;1:3.
Article
Google Scholar
Griffith RJ, Alsweiler J, Moore AE, Brown S, Middleton P, Shepherd E, Crowther CA. Interventions to prevent women from developing gestational diabetes mellitus: an overview of Cochrane Reviews. Cochrane Database Syst Rev. 2020. https://doi.org/10.1002/14651858.CD012394.pub3.
Article
Google Scholar
Landon MB, Spong CY, Thom E, Carpenter MW, Ramin SM, Casey B, Wapner RJ, Varner MW, Rouse DJ, Thorp JM Jr, et al. A multicenter, randomized trial of treatment for mild gestational diabetes. N Engl J Med. 2009;361:1339–48.
Article
CAS
Google Scholar
Casey BM, Rice MM, Landon MB, Varner MW, Reddy UM, Wapner RJ, Rouse DJ, Biggio JR Jr, Thorp JM Jr, Chien EK, et al. Effect of treatment of mild gestational diabetes on long-term maternal outcomes. Am J Perinatol. 2020;37:475–82.
Article
Google Scholar
Behboudi-Gandevani S, Bidhendi-Yarandi R, Panahi MH, Vaismoradi M. The effect of mild gestational diabetes mellitus treatment on adverse pregnancy outcomes: a systemic review and meta-analysis. Front Endocrinol. 2021;12:640004.
Article
Google Scholar
Lin PC, Chou PL, Wung SF. Geographic diversity in genotype frequencies and meta-analysis of the association between rs1801282 polymorphisms and gestational diabetes mellitus. Diabetes Res Clin Pract. 2018;143:15–23.
Article
CAS
Google Scholar
Lu XL, Yao XY, Liu XL, Xin Y, Zhao LL, Wang Z, Cui MM, Wu LH, Shangguan SF, Chang SY, et al. Melatonin receptor 1B gene polymorphism rs10830963 and gestational diabetes mellitus among a Chinese population–a meta-analysis of association studies. Endokrynol Pol. 2017;68:550–60.
CAS
Google Scholar
Ao D, Wang HJ, Wang LF, Song JY, Yang HX, Wang Y. The rs2237892 polymorphism in KCNQ1 influences gestational diabetes mellitus and glucose evels: a case-control study and meta-analysis. PLoS ONE. 2015;10:e0128901.
Article
Google Scholar
Han X, Cui H, Chen X, Xie W, Chang Y. Association of the glucokinase gene promoter polymorphism -30G > A (rs1799884) with gestational diabetes mellitus susceptibility: a case-control study and meta-analysis. Arch Gynecol Obstet. 2015;292:291–8.
Article
CAS
Google Scholar
Illumina Infinium HTS Assay Reference Guide. https://support.illumina.com/content/dam/illumina-support/documents/documentation/chemistry_documentation/infinium_assays/infinium-hts/infinium-hts-assay-reference-guide-15045738-04.pdf. Accessed 2 Mar 2018.
GenomeStudio Genotyping QC SOP v.1.6. https://khp-informatics.github.io/COPILOT/GenomeStudio_genotyping_SOP.html. Accessed 15 Mar 2022.
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MAR, Bender D, Maller J, Sklar P, de Bakker PIW, Daly MJ, Sham PC. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81:559–75.
Article
CAS
Google Scholar
1000 Genomes haplotypes -- Phase 3 integrated variant set release in NCBI build 37 (hg19) coordinates. https://mathgen.stats.ox.ac.uk/impute/1000GP_Phase3.html. Accessed 20 June 2022.
Howie BN, Donnelly P, Marchini J. A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. PLoS Genet. 2009;5:e1000529.
Article
Google Scholar
Wang K, Li M, Hadley D, Liu R, Glessner J, Grant SF, Hakonarson H, Bucan M. PennCNV: an integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data. Genome Res. 2007;17:1665–74.
Article
CAS
Google Scholar
Lin C-F, Naj AC, Wang L-S. Analyzing copy number variation using SNP array data: protocols for calling CNV and association tests. Curr Protoc Hum Genet. 2013. https://doi.org/10.1002/0471142905.hg0127s79.
Article
Google Scholar
Zhou J, Liu L, Lopdell TJ, Garrick DJ, Shi Y. HandyCNV: standardized summary, annotation, comparison, and visualization of copy number variant, copy number variation region, and runs of homozygosity. Front Genet. 2021;12:731355.
Article
Google Scholar
Kim JH, Hu HJ, Yim SH, Bae JS, Kim SY, Chung YJ. CNVRuler: a copy number variation-based case-control association analysis tool. Bioinformatics. 2012;28:1790–2.
Article
CAS
Google Scholar
Watanabe K, Taskesen E, van Bochoven A, Posthuma D. Functional mapping and annotation of genetic associations with FUMA. Nat Commun. 1826;2017:8.
Google Scholar
Liao Y, Wang J, Jaehnig EJ, Shi Z, Zhang B. WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs. Nucleic Acids Res. 2019;47:W199–205.
Article
CAS
Google Scholar
Raudvere U, Kolberg L, Kuzmin I, Arak T, Adler P, Peterson H, Vilo J. g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update). Nucleic Acids Res. 2019;47:W191–8.
Article
CAS
Google Scholar
Habibzadeh F. Statistical data editing in scientific articles. J Korean Med Sci. 2017;32:1072–6.
Article
Google Scholar
Chui TT, Lee WC. A regression-based method for estimating risks and relative risks in case-base studies. PLoS ONE. 2013;8:e83275.
Article
Google Scholar
Kanai M, Tanaka T, Okada Y. Empirical estimation of genome-wide significance thresholds based on the 1000 genomes project data set. J Hum Genet. 2016;61:861–6.
Article
CAS
Google Scholar
Weale ME. Quality control for genome-wide association studies. Methods Mol Biol. 2010;628:341–72.
Article
CAS
Google Scholar
Hellwege JN, Keaton JM, Giri A, Gao X, Velez Edwards DR, Edwards TL. Population stratification in genetic association studies. Curr Protoc Hum Genet. 2017. https://doi.org/10.1002/cphg.48.
Article
Google Scholar
Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet. 2006;38:904–9.
Article
CAS
Google Scholar
Zechner R, Zimmermann R, Eichmann TO, Kohlwein SD, Haemmerle G, Lass A, Madeo F. FAT SIGNALS–lipases and lipolysis in lipid metabolism and signaling. Cell Metab. 2012;15:279–91.
Article
CAS
Google Scholar
Kim JK, Fillmore JJ, Chen Y, Yu C, Moore IK, Pypaert M, Lutz EP, Kako Y, Velez-Carrasco W, Goldberg IJ, et al. Tissue-specific overexpression of lipoprotein lipase causes tissue-specific insulin resistance. Proc Natl Acad Sci USA. 2001;98:7522–7.
Article
CAS
Google Scholar
Morigny P, Houssier M, Mouisel E, Langin D. Adipocyte lipolysis and insulin resistance. Biochimie. 2016;125:259–66.
Article
CAS
Google Scholar
Grabner GF, Xie H, Schweiger M, Zechner R. Lipolysis: cellular mechanisms for lipid mobilization from fat stores. Nat Metab. 2021;3:1445–65.
Article
CAS
Google Scholar
Engin AB. What Is Lipotoxicity? In: Engin AB, Engin A, editors. Obesity and Lipotoxicity. Berlin: Springer; 2017. p. 197–220.
Chapter
Google Scholar
Korac B, Kalezic A, Pekovic-Vaughan V, Korac A, Jankovic A. Redox changes in obesity, metabolic syndrome, and diabetes. Redox Biol. 2021;42:101887.
Article
CAS
Google Scholar
Girousse A, Tavernier G, Valle C, Moro C, Mejhert N, Dinel A-L, Houssier M, Roussel B, Besse-Patin A, Combes M, et al. Partial inhibition of adipose tissue lipolysis improves glucose metabolism and insulin sensitivity without alteration of fat mass. PLoS Biol. 2013;11:e1001485.
Article
CAS
Google Scholar
Kim C, Ferrara A. 2010 Gestational Diabetes During and After Pregnancy.In: Catherine Kim, Assiamira Ferrara (eds), Springer, Berlin.
Hussein MK. Oxidoreductases: significance for humans and microorganism. In: Mahmoud Ahmed M, editor. Oxidoreductase. London: IntechOpen; 2020.
Google Scholar
Watson JD. Type 2 diabetes as a redox disease. Lancet. 2014;383:841–3.
Article
Google Scholar
Colozza G, Koo BK. Wnt/beta-catenin signaling: structure, assembly and endocytosis of the signalosome. Dev Growth Differ. 2021;63:199–218.
Article
CAS
Google Scholar
Valenta T, Hausmann G, Basler K. The many faces and functions of β-catenin. Embo j. 2012;31:2714–36.
Article
CAS
Google Scholar
Manolagas SC, Almeida M. Gone with the Wnts: β-Catenin, T-Cell Factor, Forkhead Box O, and oxidative stress in age-dependent diseases of bone, lipid, and glucose metabolism. Mol Endocrinol. 2007;21:2605–14.
Article
CAS
Google Scholar
Wilson C. Diabetes: human beta-cell proliferation by promoting Wnt signalling. Nat Rev Endocrinol. 2013;9:502.
Article
Google Scholar
Jin T. The WNT signalling pathway and diabetes mellitus. Diabetologia. 2008;51:1771–80.
Article
CAS
Google Scholar
Macdougall CE, Wood EG, Solomou A, Scagliotti V, Taketo MM, Gaston-Massuet C, Marelli-Berg FM, Charalambous M, Longhi MP. Constitutive activation of beta-catenin in conventional dendritic cells increases the insulin reserve to ameliorate the development of type 2 diabetes in mice. Diabetes. 2019;68:1473–84.
Article
CAS
Google Scholar
Welters HJ, Kulkarni RN. Wnt signaling: relevance to beta-cell biology and diabetes. Trends Endocrinol Metab. 2008;19:349–55.
Article
CAS
Google Scholar
Marcheva B, Ramsey KM, Buhr ED, Kobayashi Y, Su H, Ko CH, Ivanova G, Omura C, Mo S, Vitaterna MH, et al. Disruption of the clock components CLOCK and BMAL1 leads to hypoinsulinaemia and diabetes. Nature. 2010;466:627–31.
Article
CAS
Google Scholar
Amin M, Syed S, Wu R, Postolache TT, Gragnoli C. Familial linkage and association of the NR3C1 gene with Type 2 diabetes and depression comorbidity. Int J Mol Sci. 2022;23:11951.
Article
CAS
Google Scholar
Zhang H, Guan Q, Wang R, Yang S, Yu X, Cui D, Su Z. Novel association of SNP rs2297828 in PRDM16 gene with predisposition to type 2 diabetes. Gene. 2023;849:146916.
Article
CAS
Google Scholar
Butte NF. Carbohydrate and lipid metabolism in pregnancy: normal compared with gestational diabetes mellitus. Am J Clin Nutr. 2000;71:1256S-1261S.
Article
CAS
Google Scholar
Burgess S, Labrecque JA. Mendelian randomization with a binary exposure variable: interpretation and presentation of causal estimates. Eur J Epidemiol. 2018;33:947–52.
Article
Google Scholar
Palmer TM, Thompson JR, Tobin MD, Sheehan NA, Burton PR. Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses. Int J Epidemiol. 2008;37:1161–8.
Article
Google Scholar
Possik E, Al-Mass A, Peyot ML, Ahmad R, Al-Mulla F, Madiraju SRM, Prentki M. New mammalian glycerol-3-phosphate phosphatase: role in beta-cell. Front Endocrinol (Lausanne). 2021;12:706607.
Article
Google Scholar