A genome-wide association study of gestational diabetes mellitus in Chinese women

被引:22
|
作者
Wu, Nan-Nan [1 ,2 ,3 ]
Zhao, Dong [2 ,3 ]
Ma, Wei [4 ]
Lang, Jia-Nan [2 ,3 ]
Liu, Si-Mo [2 ,3 ]
Fu, Ying [2 ,3 ]
Wang, Xin [2 ,3 ]
Wang, Zong-Wei [2 ,3 ]
Li, Qiang [1 ]
机构
[1] Harbin Med Univ, Hosp Affiliated 2, Dept Endocrinol & Metab, 246 Xuefu Rd, Harbin 150080, Heilongjiang, Peoples R China
[2] Capital Med Univ, Lu He Hosp, Dept Endocrinol, Beijing, Peoples R China
[3] Capital Med Univ, Lu He Hosp, Beijing Key Lab Diabet Prevent & Res, Beijing, Peoples R China
[4] Capital Med Univ, Lu He Hosp, Dept Obstet & Gynecol, Beijing, Peoples R China
来源
关键词
Genome-wide association study; gestational diabetes mellitus; GO enrichment; KEGG pathway; molecular mechanisms; NITRIC-OXIDE SYNTHASE; PROSTACYCLIN SYNTHASE; GENE; INSULIN; RISK; ORGANIZATION; POLYMORPHISM; GLUCOSE; HEALTH; TYPE-1;
D O I
10.1080/14767058.2019.1640205
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Background: Recently, gestational diabetes mellitus (GDM) exhibits an obvious trend of increase in pregnant mothers and usually causes several abnormities or diseases for the offspring. Although several studies have been reported for potential molecular mechanisms, relevant genes or mutated sites have not been intensively investigated in China. Materials and methods: In the present study, 218 pregnant mothers (GDM group: 103 individuals and control group: 115 individuals) in China were enrolled to conduct genome-wide association study (GWAS) and pathway analyses for the purpose of related genes associated with GDM in China. Results: Our results identified 23 SNPs exhibiting closely association with GDM using multiple tests. Annotation of these 23 SNPs identified four genes (SYNPR, CDH18, CTIF, and PTGIS), which suggests that the four genes may associate with GDM. GO enrichment and KEGG pathway analysis showed that gene SYNPR, CDH18, and PTGIS were enriched or located into the pathways or process associated with glycometabolism (e.g. insulin resistance and glucose tolerance), which further indicates that the three genes may associate with the GDM. Conclusion: The identification of these potential genes associating with GDM enriched the potential molecular mechanisms of GDM in Asia and will provide abundant stocks for subsequent clinical verifications for better understanding the molecular mechanisms, diagnosis, drug development and clinical treatment of GDM.
引用
收藏
页码:1557 / 1564
页数:8
相关论文
共 50 条
  • [21] A Genome-wide association study of premolar agenesis in a chinese population
    Fan, Liwen
    Ma, Lan
    Zhu, Guirong
    Yao, Siyue
    Li, Xiaofeng
    Yu, Xin
    Pan, Yongchu
    Wang, Lin
    ORAL DISEASES, 2023, 29 (03) : 1102 - 1114
  • [22] Genome-Wide Association Study on Chinese Merino Sheep Alopecia
    Liu, Shudong
    Wang, Shuai
    Cui, Haoran
    Chen, Genyuan
    PAKISTAN JOURNAL OF ZOOLOGY, 2024, 56 (01) : 87 - 93
  • [23] Genome-wide association study of morbid obesity in Han Chinese
    Kuang-Mao Chiang
    Heng-Cheng Chang
    Hsin-Chou Yang
    Chien-Hsiun Chen
    Hsin-Hung Chen
    Wei-Jei Lee
    Wen-Harn Pan
    BMC Genetics, 20
  • [24] A Genome-Wide Association Study Identifies Susceptibility Variants for Type 2 Diabetes in Han Chinese
    Tsai, Fuu-Jen
    Yang, Chi-Fan
    Chen, Ching-Chu
    Chuang, Lee-Ming
    Lu, Chieh-Hsiang
    Chang, Chwen-Tzuei
    Wang, Tzu-Yuan
    Chen, Rong-Hsing
    Shiu, Chiung-Fang
    Liu, Yi-Min
    Chang, Chih-Chun
    Chen, Pei
    Chen, Chien-Hsiun
    Fann, Cathy S. J.
    Chen, Yuan-Tsong
    Wu, Jer-Yuarn
    PLOS GENETICS, 2010, 6 (02):
  • [25] Genome-wide association study of type 2 diabetes in Africa
    Chen, Ji
    Sun, Meng
    Adeyemo, Adebowale
    Pirie, Fraser
    Carstensen, Tommy
    Pomilla, Cristina
    Doumatey, Ayo P.
    Chen, Guanjie
    Young, Elizabeth H.
    Sandhu, Manjinder
    Morris, Andrew P.
    Barroso, Ines
    McCarthy, Mark I.
    Mahajan, Anubha
    Wheeler, Eleanor
    Rotimi, Charles N.
    Motala, Ayesha A.
    DIABETOLOGIA, 2019, 62 (07) : 1204 - 1211
  • [26] Genome-wide association study of type 2 diabetes in Africa
    Ji Chen
    Meng Sun
    Adebowale Adeyemo
    Fraser Pirie
    Tommy Carstensen
    Cristina Pomilla
    Ayo P. Doumatey
    Guanjie Chen
    Elizabeth H. Young
    Manjinder Sandhu
    Andrew P. Morris
    Inês Barroso
    Mark I. McCarthy
    Anubha Mahajan
    Eleanor Wheeler
    Charles N. Rotimi
    Ayesha A. Motala
    Diabetologia, 2019, 62 : 1204 - 1211
  • [27] Genome-wide association study on stroke in type 1 diabetes
    Dahlstrom, E. H.
    Antikainen, A.
    Thorn, L.
    Syreeni, A.
    Hagg-Holmberg, S.
    Putaala, J.
    Harjutsalo, V.
    Groop, P. -H.
    Sandholm, N.
    DIABETOLOGIA, 2022, 65 (SUPPL 1) : S36 - S36
  • [28] Genome-Wide Association Study of Retinopathy in Individuals without Diabetes
    Jensen, Richard A.
    Sim, Xueling
    Li, Xiaohui
    Cotch, Mary Frances
    Ikram, M. Kamran
    Holliday, Elizabeth G.
    Eiriksdottir, Gudny
    Harris, Tamara B.
    Jonasson, Fridbert
    Klein, Barbara E. K.
    Launer, Lenore J.
    Smith, Albert Vernon
    Boerwinkle, Eric
    Cheung, Ning
    Hewitt, Alex W.
    Liew, Gerald
    Mitchell, Paul
    Wang, Jie Jin
    Attia, John
    Scott, Rodney
    Glazer, Nicole L.
    Lumley, Thomas
    McKnight, Barbara
    Psaty, Bruce M.
    Taylor, Kent
    Hofman, Albert
    de Jong, Paulus T. V. M.
    Rivadeneira, Fernando
    Uitterlinden, Andre G.
    Tay, Wan-Ting
    Teo, Yik Ying
    Seielstad, Mark
    Liu, Jianjun
    Cheng, Ching-Yu
    Saw, Seang-Mei
    Aung, Tin
    Ganesh, Santhi K.
    O'Donnell, Christopher J.
    Nalls, Mike A.
    Wiggins, Kerri L.
    Kuo, Jane Z.
    van Duijn, Cornelia M.
    Gudnason, Vilmundur
    Klein, Ronald
    Siscovick, David S.
    Rotter, Jerome I.
    Tai, E. Shong
    Vingerling, Johannes
    Wong, Tien Y.
    PLOS ONE, 2013, 8 (02):
  • [29] Genome-wide polygenic risk scores and prediction of gestational diabetes in South Asian women
    Lamri, A.
    Mao, S.
    Desai, D.
    Gupta, M.
    Pare, G.
    Anand, S. S.
    DIABETOLOGIA, 2019, 62 : S131 - S131
  • [30] Genome-wide association analysis of age of diabetes diagnosis in Hong Kong Chinese
    Fan, B.
    Tam, C. H.
    Shi, M.
    Lim, C. K.
    Wu, C. O. H.
    Chow, E. Y.
    Kong, A. P.
    Ma, R. C.
    Luk, A. O.
    Chan, J. C.
    DIABETOLOGIA, 2024, 67 : S141 - S141