Replication Study in a Japanese Population to Evaluate the Association between 10 SNP Loci, Identified in European Genome-Wide Association Studies, and Type 2 Diabetes.
Replication Study in a Japanese Population to Evaluate the Association between 10 SNP Loci, Identified in European Genome-Wide Association Studies, and Type 2 Diabetes.
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DOI:
10.1371/journal.pone.0126363
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Maeda S
中科院分区:
文献类型:
--
作者:
Matsuba R;Sakai K;Imamura M;Tanaka Y;Iwata M;Hirose H;Kaku K;Maegawa H;Watada H;Tobe K;Kashiwagi A;Kawamori R;Maeda S
We performed a replication study in a Japanese population to evaluate the association between type 2 diabetes and 7 susceptibility loci originally identified by European genome-wide association study (GWAS) in 2012: ZMIZ1, KLHDC5, TLE1, ANKRD55, CILP2, MC4R, and BCAR1. We also examined the association of 3 additional loci: CCND2 and GIPR, identified in sex-differentiated analyses, and LAMA1, which was shown to be associated with non-obese European type 2 diabetes. We genotyped 6,972 Japanese participants (4,280 type 2 diabetes patients and 2,692 controls) for each of the 10 single nucleotide polymorphisms (SNPs): rs12571751 in ZMIZ1, rs10842994 near KLHDC5, rs2796441 near TLE1, rs459193 near ANKRD55, rs10401969 in CILP2, rs12970134 near MC4R, rs7202877 near BCAR1, rs11063069 near CCND2, rs8108269 near GIPR, and rs8090011 in LAMA1 using a multiplex polymerase chain reaction invader assay. The association of each SNP locus with the disease was evaluated using a logistic regression analysis. All SNPs examined in this study had the same direction of effect (odds ratio > 1.0, p = 9.77 × 10-4, binomial test), as in the original reports. Among them, rs12571751 in ZMIZ1 was significantly associated with type 2 diabetes [p = 0.0041, odds ratio = 1.123, 95% confidence interval 1.037–1.215, adjusted for sex, age and body mass index (BMI)], but we did not observe significant association of the remaining 9 SNP loci with type 2 diabetes in the present Japanese population (p ≥ 0.005). A genetic risk score, constructed from the sum of risk alleles for the 7 SNP loci identified by un-stratified analyses in the European GWAS meta-analysis were associated with type 2 diabetes in the present Japanese population (p = 2.3 × 10-4, adjusted for sex, age and BMI). ZMIZ1 locus has a significant effect on conferring susceptibility to type 2 diabetes also in the Japanese population.
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影响因子:
30.8
作者:
DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium;Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium;South Asian Type 2 Diabetes (SAT2D) Consortium;Mexican American Type 2 Diabetes (MAT2D) Consortium;Type 2 Diabetes Genetic Exploration by Nex-generation sequencing in muylti-Ethnic Samples (T2D-GENES) Consortium;Mahajan A;Go MJ;Zhang W;Below JE;Gaulton KJ;Ferreira T;Horikoshi M;Johnson AD;Ng MC;Prokopenko I;Saleheen D;Wang X;Zeggini E;Abecasis GR;Adair LS;Almgren P;Atalay M;Aung T;Baldassarre D;Balkau B;Bao Y;Barnett AH;Barroso I;Basit A;Been LF;Beilby J;Bell GI;Benediktsson R;Bergman RN;Boehm BO;Boerwinkle E;Bonnycastle LL;Burtt N;Cai Q;Campbell H;Carey J;Cauchi S;Caulfield M;Chan JC;Chang LC;Chang TJ;Chang YC;Charpentier G;Chen CH;Chen H;Chen YT;Chia KS;Chidambaram M;Chines PS;Cho NH;Cho YM;Chuang LM;Collins FS;Cornelis MC;Couper DJ;Crenshaw AT;van Dam RM;Danesh J;Das D;de Faire U;Dedoussis G;Deloukas P;Dimas AS;Dina C;Doney AS;Donnelly PJ;Dorkhan M;van Duijn C;Dupuis J;Edkins S;Elliott P;Emilsson V;Erbel R;Eriksson JG;Escobedo J;Esko T;Eury E;Florez JC;Fontanillas P;Forouhi NG;Forsen T;Fox C;Fraser RM;Frayling TM;Froguel P;Frossard P;Gao Y;Gertow K;Gieger C;Gigante B;Grallert H;Grant GB;Grrop LC;Groves CJ;Grundberg E;Guiducci C;Hamsten A;Han BG;Hara K;Hassanali N;Hattersley AT;Hayward C;Hedman AK;Herder C;Hofman A;Holmen OL;Hovingh K;Hreidarsson AB;Hu C;Hu FB;Hui J;Humphries SE;Hunt SE;Hunter DJ;Hveem K;Hydrie ZI;Ikegami H;Illig T;Ingelsson E;Islam M;Isomaa B;Jackson AU;Jafar T;James A;Jia W;Jöckel KH;Jonsson A;Jowett JB;Kadowaki T;Kang HM;Kanoni S;Kao WH;Kathiresan S;Kato N;Katulanda P;Keinanen-Kiukaanniemi KM;Kelly AM;Khan H;Khaw KT;Khor CC;Kim HL;Kim S;Kim YJ;Kinnunen L;Klopp N;Kong A;Korpi-Hyövälti E;Kowlessur S;Kraft P;Kravic J;Kristensen MM;Krithika S;Kumar A;Kumate J;Kuusisto J;Kwak SH;Laakso M;Lagou V;Lakka TA;Langenberg C;Langford C;Lawrence R;Leander K;Lee JM;Lee NR;Li M;Li X;Li Y;Liang J;Liju S;Lim WY;Lind L;Lindgren CM;Lindholm E;Liu CT;Liu JJ;Lobbens S;Long J;Loos RJ;Lu W;Luan J;Lyssenko V;Ma RC;Maeda S;Mägi R;Männisto S;Matthews DR;Meigs JB;Melander O;Metspalu A;Meyer J;Mirza G;Mihailov E;Moebus S;Mohan V;Mohlke KL;Morris AD;Mühleisen TW;Müller-Nurasyid M;Musk B;Nakamura J;Nakashima E;Navarro P;Ng PK;Nica AC;Nilsson PM;Njølstad I;Nöthen MM;Ohnaka K;Ong TH;Owen KR;Palmer CN;Pankow JS;Park KS;Parkin M;Pechlivanis S;Pedersen NL;Peltonen L;Perry JR;Peters A;Pinidiyapathirage JM;Platou CG;Potter S;Price JF;Qi L;Radha V;Rallidis L;Rasheed A;Rathman W;Rauramaa R;Raychaudhuri S;Rayner NW;Rees SD;Rehnberg E;Ripatti S;Robertson N;Roden M;Rossin EJ;Rudan I;Rybin D;Saaristo TE;Salomaa V;Saltevo J;Samuel M;Sanghera DK;Saramies J;Scott J;Scott LJ;Scott RA;Segrè AV;Sehmi J;Sennblad B;Shah N;Shah S;Shera AS;Shu XO;Shuldiner AR;Sigurđsson G;Sijbrands E;Silveira A;Sim X;Sivapalaratnam S;Small KS;So WY;Stančáková A;Stefansson K;Steinbach G;Steinthorsdottir V;Stirrups K;Strawbridge RJ;Stringham HM;Sun Q;Suo C;Syvänen AC;Takayanagi R;Takeuchi F;Tay WT;Teslovich TM;Thorand B;Thorleifsson G;Thorsteinsdottir U;Tikkanen E;Trakalo J;Tremoli E;Trip MD;Tsai FJ;Tuomi T;Tuomilehto J;Uitterlinden AG;Valladares-Salgado A;Vedantam S;Veglia F;Voight BF;Wang C;Wareham NJ;Wennauer R;Wickremasinghe AR;Wilsgaard T;Wilson JF;Wiltshire S;Winckler W;Wong TY;Wood AR;Wu JY;Wu Y;Yamamoto K;Yamauchi T;Yang M;Yengo L;Yokota M;Young R;Zabaneh D;Zhang F;Zhang R;Zheng W;Zimmet PZ;Altshuler D;Bowden DW;Cho YS;Cox NJ;Cruz M;Hanis CL;Kooner J;Lee JY;Seielstad M;Teo YY;Boehnke M;Parra EJ;Chambers JC;Tai ES;McCarthy MI;Morris AP
通讯作者:
Morris AP
影响因子:
30.8
作者:
Cho, Yoon Shin;Chen, Chien-Hsiun;Hu, Cheng;Long, Jirong;Ong, Rick Twee Hee;Sim, Xueling;Takeuchi, Fumihiko;Wu, Ying;Go, Min Jin;Yamauchi, Toshimasa;Chang, Yi-Cheng;Kwak, Soo Heon;Ma, Ronald C. W.;Yamamoto, Ken;Adair, Linda S.;Aung, Tin;Cai, Qiuyin;Chang, Li-Ching;Chen, Yuan-Tsong;Gao, Yutang;Hu, Frank B.;Kim, Hyung-Lae;Kim, Sangsoo;Kim, Young Jin;Lee, Jeannette Jen-Mai;Lee, Nanette R.;Li, Yun;Liu, Jian Jun;Lu, Wei;Nakamura, Jiro;Nakashima, Eitaro;Ng, Daniel Peng-Keat;Tay, Wan Ting;Tsai, Fuu-Jen;Wong, Tien Yin;Yokota, Mitsuhiro;Zheng, Wei;Zhang, Rong;Wang, Congrong;So, Wing Yee;Ohnaka, Keizo;Ikegami, Hiroshi;Hara, Kazuo;Cho, Young Min;Cho, Nam H.;Chang, Tien-Jyun;Bao, Yuqian;Hedman, Asa K.;Morris, Andrew P.;McCarthy, Mark I.;Takayanagi, Ryoichi;Park, Kyong Soo;Jia, Weiping;Chuang, Lee-Ming;Chan, Juliana C. N.;Maeda, Shiro;Kadowaki, Takashi;Lee, Jong-Young;Wu, Jer-Yuarn;Teo, Yik Ying;Tai, E. Shyong;Shu, Xiao Ou;Mohlke, Karen L.;Kato, Norihiro;Han, Bok-Ghee;Seielstad, Mark
通讯作者:
Seielstad, Mark
影响因子:
3.7
作者:
Fukuda H;Imamura M;Tanaka Y;Iwata M;Hirose H;Kaku K;Maegawa H;Watada H;Tobe K;Kashiwagi A;Kawamori R;Maeda S
通讯作者:
Maeda S
影响因子:
16.2
作者:
Iwata M;Maeda S;Kamura Y;Takano A;Kato H;Murakami S;Higuchi K;Takahashi A;Fujita H;Hara K;Kadowaki T;Tobe K
通讯作者:
Tobe K
影响因子:
8.2
作者:
Hayashi, T.;Iwamoto, Y.;Maeda, S.
通讯作者:
Maeda, S.