The TCF7L2 Diabetes Risk Variant is Associated with HbA1C Levels: a Genome-Wide Association Meta-Analysis

被引:28
|
作者
Franklin, Christopher S. [1 ]
Aulchenko, Yurii S. [2 ]
Huffman, Jennifer E. [3 ]
Vitart, Veronique [3 ]
Hayward, Caroline [3 ]
Polasek, Ozren [4 ,5 ]
Knott, Sara [6 ]
Zgaga, Lina [1 ,5 ]
Zemunik, Tatijana [7 ]
Rudan, Igor [1 ,4 ,7 ]
Campbell, Harry [1 ]
Wright, Alan F. [3 ]
Wild, Sarah H. [1 ]
Wilson, James F. [1 ]
机构
[1] Univ Edinburgh, Ctr Populat Hlth Sci, Edinburgh EH8 9AG, Midlothian, Scotland
[2] Erasmus MC, Genet Epidemiol Unit, Dept Epidemiol & Biostat, Rotterdam, Netherlands
[3] Western Gen Hosp, Inst Genet & Mol Med, MRC Human Genet Unit, Edinburgh EH4 2XU, Midlothian, Scotland
[4] Gen Info Ltd, Zagreb 10000, Croatia
[5] Univ Zagreb, Sch Med, Andrija Stampar Sch Publ Hlth, Zagreb 41001, Croatia
[6] Univ Edinburgh, Inst Evolutionary Biol, Edinburgh EH9 3JT, Midlothian, Scotland
[7] Univ Split, Sch Med, Croatian Ctr Global Hlth, Split, Croatia
基金
英国医学研究理事会;
关键词
HbA(1C); association; TCF7L2; isolate population; diabetes; meta-analysis; GLUCOSE-LEVELS; GENE; LOCI; SUSCEPTIBILITY; CROATIA; MTNR1B; ISLAND;
D O I
10.1111/j.1469-1809.2010.00607.x
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
P>Genome-wide association (GWA) studies have identified around 20 common genetic variants influencing the risk of type 2 diabetes (T2D). Likewise, a number of variants have been associated with diabetes-related quantitative glycaemic traits, but to date the overlap between these genes and variants has been low. The majority of genetic studies have focused on fasting plasma glucose levels; however, this measure is highly variable. We have conducted a GWA meta-analysis of glycated haemoglobin (HbA(1C)) levels within three healthy nondiabetic populations. This phenotype provides an estimate of mean glucose levels over 2-3 months and is a more stable predictor of future diabetes risk. Participants were from three isolated populations: the Orkney Isles in the north of Scotland, the Dalmatian islands of Vis, and Korcula in Croatia (total of 1782 nondiabetic subjects). Association was tested in each population and results combined by meta-analysis. The strongest association was with the TCF7L2 gene (rs7903146, P = 1.48 x 10-7). This is also the strongest common genetic risk factor for T2D but it has not been identified in previous genome-wide studies of glycated haemoglobin.
引用
收藏
页码:471 / 478
页数:8
相关论文
共 50 条
  • [21] Genome-wide pattern of TCF7L2/TCF4 chromatin occupancy in colorectal cancer cells
    Hatzis, Pantelis
    van der Flier, Laurens G.
    van Driel, Marc A.
    Guryev, Victor
    Nielsen, Fiona
    Denissov, Sergei
    Nijman, Isaac J.
    Koster, Jan
    Santo, Evan E.
    Welboren, Willem
    Versteeg, Rogier
    Cuppen, Edwin
    van de Wetering, Marc
    Clevers, Hans
    Stunnenberg, Hendrik G.
    MOLECULAR AND CELLULAR BIOLOGY, 2008, 28 (08) : 2732 - 2744
  • [22] HbA1c and Lower Extremity Amputation Risk in Patients With Diabetes: A Meta-Analysis
    Zhou, Zhen-Yu
    Liu, Ya-Ke
    Chen, Hong-Lin
    Yang, Hui-Lin
    Liu, Fan
    INTERNATIONAL JOURNAL OF LOWER EXTREMITY WOUNDS, 2015, 14 (02): : 168 - 177
  • [23] No association between a candidate TCF7L2 variant and risk of breast or ovarian cancer
    Goode, Ellen L.
    Szabo, Csilla
    Prokunina-Olsson, Ludmila
    Vierkant, Robert A.
    Fredericksen, Zachary S.
    Collins, Francis S.
    White, Kristin L.
    Schmidt, Michele
    Fridley, Brooke L.
    Couch, Fergus J.
    BMC CANCER, 2009, 9 : 312
  • [24] At-Risk Variant in TCF7L2 for Type II Diabetes Increases Risk of Schizophrenia
    Hansen, Thomas
    Ingason, Andres
    Djurovic, Srdjan
    Melle, Ingrid
    Fenger, Mogens
    Gustafsson, Omar
    Jakobsen, Klaus D.
    Rasmussen, Henrik B.
    Tosato, Sarah
    Rietschel, Marcella
    Frank, Josef
    Owen, Mike
    Bonetto, Chiara
    Suvisaari, Jaana
    Thygesen, Johan Hilge
    Petursson, Hannes
    Lonnqvist, Jouko
    Sigurdsson, Engilbert
    Giegling, Ina
    Craddock, Nick
    O'Donovan, Michael C.
    Ruggeri, Mirella
    Cichon, Sven
    Ophoff, Roel A.
    Pietilainen, Olli
    Peltonen, Leena
    Noethen, Markus M.
    Rujescu, Dan
    St Clair, David
    Collier, David A.
    Andreassen, Ole A.
    Werge, Thomas
    BIOLOGICAL PSYCHIATRY, 2011, 70 (01) : 59 - 63
  • [25] A Meta-analysis of Genome-Wide Association Studies for Type 2 Diabetes in Africans
    Adeyemo, Adebowale A.
    Sun, Meng
    Chen, Ji
    Wheeler, Eleanor
    Mahajan, Anubha
    Pirie, Fraser
    Doumatey, Ayo
    Sandhu, Manj
    Morris, Andrew
    Motala, Ayesha
    Barroso, Ines
    Mccarthy, Mark I.
    Rotimi, Charles N.
    DIABETES, 2017, 66 : A47 - A47
  • [26] Relationship of baseline HbA1c, HbA1c change and HbA1c target of < 7% with insulin analogues in type 2 diabetes: a meta-analysis of randomised controlled trials
    Giugliano, D.
    Maiorino, M.
    Bellastella, G.
    Chiodini, P.
    Esposito, K.
    INTERNATIONAL JOURNAL OF CLINICAL PRACTICE, 2011, 65 (05) : 602 - 612
  • [27] Meta-Analysis of the Association between HbA1c Change and Macrovascular Event Risk
    Chen, Hua
    Diu, Ying
    Bhowmik, Debajyoti
    Birtcher, Kimberly
    Mortazavi, Ali
    DIABETES, 2009, 58 : A190 - A190
  • [28] No association between a candidate TCF7L2 variant and risk of breast or ovarian cancer
    Ellen L Goode
    Csilla Szabo
    Ludmila Prokunina-Olsson
    Robert A Vierkant
    Zachary S Fredericksen
    Francis S Collins
    Kristin L White
    Michele Schmidt
    Brooke L Fridley
    Fergus J Couch
    BMC Cancer, 9
  • [29] The type 2 diabetes-associated variant in TCF7L2 is associated with latent autoimmune diabetes in adult Europeans and the gene effect is modified by obesity: a meta-analysis and an individual study
    K. Lukacs
    N. Hosszufalusi
    E. Dinya
    M. Bakacs
    L. Madacsy
    P. Panczel
    Diabetologia, 2012, 55 : 689 - 693
  • [30] The type 2 diabetes-associated variant in TCF7L2 is associated with latent autoimmune diabetes in adult Europeans and the gene effect is modified by obesity: a meta-analysis and an individual study
    Lukacs, K.
    Hosszufalusi, N.
    Dinya, E.
    Bakacs, M.
    Madacsy, L.
    Panczel, P.
    DIABETOLOGIA, 2012, 55 (03) : 689 - 693