Genetic predisposition to gestational glucose metabolism and gestational diabetes mellitus risk in a Chinese population.
Adult
Asian People
/ genetics
Biomarkers
/ metabolism
Body Mass Index
Diabetes, Gestational
/ etiology
Female
Follow-Up Studies
Genetic Association Studies
Genetic Predisposition to Disease
Genome-Wide Association Study
Genotype
Glucose
/ metabolism
Humans
Polymorphism, Single Nucleotide
Pregnancy
Prognosis
genetic variants
gestational diabetes mellitus
gestational glucose metabolism
risk
妊娠期糖尿病
妊娠期血糖、风险
遗传变异
Journal
Journal of diabetes
ISSN: 1753-0407
Titre abrégé: J Diabetes
Pays: Australia
ID NLM: 101504326
Informations de publication
Date de publication:
Nov 2019
Nov 2019
Historique:
received:
05
09
2018
revised:
16
02
2019
accepted:
22
03
2019
pubmed:
27
3
2019
medline:
13
3
2020
entrez:
27
3
2019
Statut:
ppublish
Résumé
Genome-wide association studies (GWAS) have identified several genetic variants affecting gestational glucose metabolism. However, information regarding their known associations with gestational diabetes mellitus (GDM) risk remains scarce. This study examined the associations of 12 gestational glucose metabolism-related variants with GDM risk in a Chinese population (964 GDM cases, 1021 controls). Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by logistic regression analysis. Rs10830963 in melatonin receptor 1B (MTNR1B) was found to be associated with an increased risk of GDM, after adjusting for age, prepregnancy body mass index, parity, abnormal pregnancy history, and family history of diabetes (OR 1.20; 95% CI 1.05-1.36; P = 0.007). Compared with women with a family history of diabetes, there was a significant association of rs7936247 with GDM risk among pregnant women without a family history of diabetes (OR 1.20; 95% CI 1.04-1.38; P = 0.014; P The findings of this study suggest that rs10830963 and rs7936247 may be markers for susceptibility to GDM in a Chinese population. Additional studies are warranted to validate our findings and clarify the underlying mechanism. 目的: 全基因组关联研究(genome-wide association studies, GWAS)发现了一些与妊娠期血糖代谢水平相关的遗传易感性位点，但这些位点与妊娠糖尿病(gestational diabetes mellitus, GDM)风险的关系仍然较少。 方法: 本研究探讨在中国人群样本中(964例妊娠糖尿病, 1021例健康对照)分析了12个与妊娠期糖代谢相关的遗传易感位点与GDM风险的关系。通过logistic回归分析计算这些位点与GDM发病的优势比(odds ratios, ORs)以及95%可信区间(95% confidence intervals, 95% CIs)。 结果: 褪黑素受体1B (MTNR1B)位点rs10830963在校正年龄、孕前体重指数、胎次、异常妊娠史、糖尿病家族史等因素后，与GDM风险显著相关 (OR=1.20; 95% CI: 1.05-1.36; P=0.007)。与有糖尿病家族史的女性相比，rs7936247在无糖尿病家族史孕妇的人群中与GDM风险显著相关(OR=1.20; 95% CI: 1.04 -1.38; P=0.014；P
Sections du résumé
BACKGROUND
BACKGROUND
Genome-wide association studies (GWAS) have identified several genetic variants affecting gestational glucose metabolism. However, information regarding their known associations with gestational diabetes mellitus (GDM) risk remains scarce.
METHODS
METHODS
This study examined the associations of 12 gestational glucose metabolism-related variants with GDM risk in a Chinese population (964 GDM cases, 1021 controls). Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by logistic regression analysis.
RESULTS
RESULTS
Rs10830963 in melatonin receptor 1B (MTNR1B) was found to be associated with an increased risk of GDM, after adjusting for age, prepregnancy body mass index, parity, abnormal pregnancy history, and family history of diabetes (OR 1.20; 95% CI 1.05-1.36; P = 0.007). Compared with women with a family history of diabetes, there was a significant association of rs7936247 with GDM risk among pregnant women without a family history of diabetes (OR 1.20; 95% CI 1.04-1.38; P = 0.014; P
CONCLUSIONS
CONCLUSIONS
The findings of this study suggest that rs10830963 and rs7936247 may be markers for susceptibility to GDM in a Chinese population. Additional studies are warranted to validate our findings and clarify the underlying mechanism.
目的: 全基因组关联研究(genome-wide association studies, GWAS)发现了一些与妊娠期血糖代谢水平相关的遗传易感性位点，但这些位点与妊娠糖尿病(gestational diabetes mellitus, GDM)风险的关系仍然较少。 方法: 本研究探讨在中国人群样本中(964例妊娠糖尿病, 1021例健康对照)分析了12个与妊娠期糖代谢相关的遗传易感位点与GDM风险的关系。通过logistic回归分析计算这些位点与GDM发病的优势比(odds ratios, ORs)以及95%可信区间(95% confidence intervals, 95% CIs)。 结果: 褪黑素受体1B (MTNR1B)位点rs10830963在校正年龄、孕前体重指数、胎次、异常妊娠史、糖尿病家族史等因素后，与GDM风险显著相关 (OR=1.20; 95% CI: 1.05-1.36; P=0.007)。与有糖尿病家族史的女性相比，rs7936247在无糖尿病家族史孕妇的人群中与GDM风险显著相关(OR=1.20; 95% CI: 1.04 -1.38; P=0.014；P
Autres résumés
Type: Publisher
(chi)
目的: 全基因组关联研究(genome-wide association studies, GWAS)发现了一些与妊娠期血糖代谢水平相关的遗传易感性位点，但这些位点与妊娠糖尿病(gestational diabetes mellitus, GDM)风险的关系仍然较少。 方法: 本研究探讨在中国人群样本中(964例妊娠糖尿病, 1021例健康对照)分析了12个与妊娠期糖代谢相关的遗传易感位点与GDM风险的关系。通过logistic回归分析计算这些位点与GDM发病的优势比(odds ratios, ORs)以及95%可信区间(95% confidence intervals, 95% CIs)。 结果: 褪黑素受体1B (MTNR1B)位点rs10830963在校正年龄、孕前体重指数、胎次、异常妊娠史、糖尿病家族史等因素后，与GDM风险显著相关 (OR=1.20; 95% CI: 1.05-1.36; P=0.007)。与有糖尿病家族史的女性相比，rs7936247在无糖尿病家族史孕妇的人群中与GDM风险显著相关(OR=1.20; 95% CI: 1.04 -1.38; P=0.014；P
Identifiants
pubmed: 30912250
doi: 10.1111/1753-0407.12923
doi:
Substances chimiques
Biomarkers
0
Glucose
IY9XDZ35W2
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
869-877Subventions
Organisme : National Natural Science Foundation of China
ID : 81770866
Organisme : National Natural Science Foundation of China
ID : 81702569
Organisme : National Natural Science Foundation of China
ID : 81670773
Organisme : Jiangsu Provincial Medical Innovation Team
ID : CXTDA2017001
Organisme : Jiangsu Provincial Medical Youth Talent
ID : QNRC2016108
Organisme : Jiangsu Province Natural Science Foundation
ID : BK20170151
Organisme : Jiangsu Province Natural Science Foundation
ID : BK20160141
Organisme : Jiangsu Provincial Key Research and Development Program
ID : BE2016619
Organisme : Jiangsu Provincial Key Research and Development Program
ID : BE2018614
Organisme : Jiangsu Provincial Key Research and Development Program
ID : BE2018616
Organisme : 333 High Level Talents Training Project of Jiangsu Province, Jiangsu Provincial Women and Children Health Research Project
ID : F201762
Organisme : Jiangsu Province "Six Talent Peak" Personal Training Project
ID : 2016-WSW-086
Organisme : Jiangsu Province "Six Talent Peak" Personal Training Project
ID : 2015-WSW-043
Organisme : Jiangsu Province "Six Talent Peak" Personal Training Project
ID : YY-081
Organisme : Nanjing Medical Science and Technique Development Foundation
ID : JQX18009
Organisme : National Key Laboratory of Reproductive Medicine Foundation
ID : SKLRM-GC201805
Informations de copyright
© 2019 Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd.
Références
Zhu Y, Zhang C. Prevalence of gestational diabetes and risk of progression to type 2 diabetes: a global perspective. Curr Diab Rep. 2016;16:7.
Guariguata L, Linnenkamp U, Beagley J, Whiting DR, Cho NH. Global estimates of the prevalence of hyperglycaemia in pregnancy. Diabetes Res Clin Pract. 2014;103:176-185.
Li S, Zhu Y, Yeung E, et al. Offspring risk of obesity in childhood, adolescence and adulthood in relation to gestational diabetes mellitus: a sex-specific association. Int J Epidemiol. 2017;46:1533-1541.
Xu Y, Shen S, Sun L, Yang H, Jin B, Cao X. Metabolic syndrome risk after gestational diabetes: a systematic review and meta-analysis. PLoS One. 2014;9:e87863.
Clausen TD, Mathiesen ER, Hansen T, et al. High prevalence of type 2 diabetes and pre-diabetes in adult offspring of women with gestational diabetes mellitus or type 1 diabetes: the role of intrauterine hyperglycemia. Diabetes Care. 2008;31:340-346.
Hammoud NM, Visser GHA, van Rossem L, Biesma DH, Wit JM, de Valk HW. Long-term BMI and growth profiles in offspring of women with gestational diabetes. Diabetologia. 2018;61:1037-1045.
Ferrara A. Increasing prevalence of gestational diabetes mellitus: a public health perspective. Diabetes Care. 2007;30(suppl 2):S141-S146.
Zhang C, Rawal S, Chong YS. Risk factors for gestational diabetes: is prevention possible? Diabetologia. 2016;59:1385-1390.
Zhang C, Bao W, Rong Y, et al. Genetic variants and the risk of gestational diabetes mellitus: a systematic review. Hum Reprod Update. 2013;19:376-390.
Kwak SH, Kim SH, Cho YM, et al. A genome-wide association study of gestational diabetes mellitus in Korean women. Diabetes. 2012;61:531-541.
Scott RA, Lagou V, Welch RP, et al. Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nat Genet. 2012;44:991-1005.
Hayes MG, Urbanek M, Hivert MF, et al. Identification of HKDC1 and BACE2 as genes influencing glycemic traits during pregnancy through genome-wide association studies. Diabetes. 2013;62:3282-3291.
Huopio H, Cederberg H, Vangipurapu J, et al. Association of risk variants for type 2 diabetes and hyperglycemia with gestational diabetes. Eur J Endocrinol. 2013;169:291-297.
Ding M, Chavarro J, Olsen S, et al. Genetic variants of gestational diabetes mellitus: a study of 112 SNPs among 8722 women in two independent populations. Diabetologia. 2018;61:1758-1768.
Kanthimathi S, Liju S, Laasya D, Anjana RM, Mohan V, Radha V. Hexokinase domain containing 1 (HKDC1) gene variants and their association with gestational diabetes mellitus in a south Indian population. Ann Hum Genet. 2016;80:241-245.
Chen T, Xu J, Liu G, et al. Genetic variants in PTPRD and risk of gestational diabetes mellitus. Oncotarget. 2016;7:76101-76107.
Shi A, Wen J, Liu G, et al. Genetic variants in vitamin D signaling pathways and risk of gestational diabetes mellitus. Oncotarget. 2016; 7:67788-67 795.
Hoffman L, Nolan C, Wilson JD, Oats JJ, Simmons D. Gestational diabetes mellitus - management guidelines. The Australasian Diabetes in Pregnancy Society. Med J Aust. 1998;169:93-97.
Staley JR, Blackshaw J, Kamat MA, et al. PhenoScanner: a database of human genotype-phenotype associations. Bioinformatics. 2016;32:3207-3209.
Dai N, Zheng M, Wang C, et al. Genetic variants at 8q24 are associated with risk of esophageal squamous cell carcinoma in a Chinese population. Cancer Sci. 2014;105:731-735.
Kim JY, Cheong HS, Park BL, et al. Melatonin receptor 1B polymorphisms associated with the risk of gestational diabetes mellitus. BMC Med Genet. 2011;12:82.
Tarnowski M, Malinowski D, Safranow K, Dziedziejko V, Pawlik A. MTNR1A and MTNR1B gene polymorphisms in women with gestational diabetes. Gynecol Endocrinol. 2017;33:395-398.
Wu L, Cui L, Tam WH, Ma RC, Wang CC. Genetic variants associated with gestational diabetes mellitus: a meta-analysis and subgroup analysis. Sci Rep. 2016;6:30539.
Liao S, Liu Y, Tan Y, et al. Association of genetic variants of melatonin receptor 1B with gestational plasma glucose level and risk of glucose intolerance in pregnant Chinese women. PLoS One. 2012;7:e40113.
Wang Y, Nie M, Li W, et al. Association of six single nucleotide polymorphisms with gestational diabetes mellitus in a Chinese population. PLoS One. 2011;6:e26953.
Nisa H, Qi KHT, Leng J, et al. The circadian rhythm-related MTNR1B genotype, gestational weight gain, and postpartum glycemic changes. J Clin Endocrinol Metab. 2018;103:2284-2290.
Lyssenko V, Nagorny CL, Erdos MR, et al. Common variant in MTNR1B associated with increased risk of type 2 diabetes and impaired early insulin secretion. Nat Genet. 2009;41:82-88.
Tuomi T, Nagorny CLF, Singh P, et al. Increased melatonin signaling is a risk factor for type 2 diabetes. Cell Metab. 2016;23:1067-1077.
Pandi-Perumal SR, Trakht I, Srinivasan V, et al. Physiological effects of melatonin: role of melatonin receptors and signal transduction pathways. Prog Neurobiol. 2008;85:335-353.
Brynedal B, Choi J, Raj T, et al. Large-scale trans-eQTLs affect hundreds of transcripts and mediate patterns of transcriptional co-regulation. Am J Hum Genet. 2017;100:581-591.
Yao C, Joehanes R, Johnson AD, et al. Dynamic role of trans regulation of gene expression in relation to complex traits. Am J Hum Genet. 2017;100:571-580.
Johns EC, Denison FC, Norman JE, Reynolds RM. Gestational diabetes mellitus: mechanisms, treatment, and complications. Trends Endocrinol Metab. 2018;29:743-754.
Carroll X, Liang X, Zhang W, et al. Socioeconomic, environmental and lifestyle factors associated with gestational diabetes mellitus: a matched case-control study in Beijing, China. Sci Rep. 2018;8:8103.
He JR, Yuan MY, Chen NN, et al. Maternal dietary patterns and gestational diabetes mellitus: a large prospective cohort study in China. Br J Nutr. 2015;113:1292-1300.