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Journal Abstract Search

360 related items for PubMed ID: 22961080

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  • 2. Common RASGRP1 Gene Variants That Confer Risk of Type 2 Diabetes.
    Li JY, Tao F, Wu XX, Tan YZ, He L, Lu H.
    Genet Test Mol Biomarkers; 2015 Aug; 19(8):439-43. PubMed ID: 26076219
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  • 4. Cross-sectional and longitudinal replication analyses of genome-wide association loci of type 2 diabetes in Han Chinese.
    Zhao Q, Xiao J, He J, Zhang X, Hong J, Kong X, Mills KT, Weng J, Jia W, Yang W.
    PLoS One; 2014 Aug; 9(3):e91790. PubMed ID: 24637646
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  • 5. Association of RASGRP1 polymorphism with vascular complications in Chinese diabetic patients with glycemic control and antihypertensive treatment.
    Zhou J, Xu B, He F, Shu Y, Chen X, Liu Z, Sun B, Zhang W.
    Cardiovasc Diabetol; 2024 May 10; 23(1):166. PubMed ID: 38730425
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  • 11. Trans-ethnic fine mapping identifies a novel independent locus at the 3' end of CDKAL1 and novel variants of several susceptibility loci for type 2 diabetes in a Han Chinese population.
    Kuo JZ, Sheu WH, Assimes TL, Hung YJ, Absher D, Chiu YF, Mak J, Wang JS, Kwon S, Hsu CC, Goodarzi MO, Lee IT, Knowles JW, Miller BE, Lee WJ, Juang JM, Wang TD, Guo X, Taylor KD, Chuang LM, Hsiung CA, Quertermous T, Rotter JI, Chen YD.
    Diabetologia; 2013 Dec 10; 56(12):2619-28. PubMed ID: 24013783
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  • 12. A variant of GRK5 is associated with the therapeutic efficacy of repaglinide in Chinese Han patients with type 2 diabetes mellitus.
    Shang Z, Han F, Zhou X, Bao Z, Zhu J, Wang T, Lu Q, Du L, Li W, Lv D, Yin X.
    Drug Dev Res; 2018 May 10; 79(3):129-135. PubMed ID: 29663513
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  • 13. Bivariate Genome-Wide Association Study of Depressive Symptoms With Type 2 Diabetes and Quantitative Glycemic Traits.
    Haljas K, Amare AT, Alizadeh BZ, Hsu YH, Mosley T, Newman A, Murabito J, Tiemeier H, Tanaka T, van Duijn C, Ding J, Llewellyn DJ, Bennett DA, Terracciano A, Launer L, Ladwig KH, Cornelis MC, Teumer A, Grabe H, Kardia SLR, Ware EB, Smith JA, Snieder H, Eriksson JG, Groop L, Räikkönen K, Lahti J.
    Psychosom Med; 2018 Apr 10; 80(3):242-251. PubMed ID: 29280852
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  • 14. Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci.
    Kooner JS, Saleheen D, Sim X, Sehmi J, Zhang W, Frossard P, Been LF, Chia KS, Dimas AS, Hassanali N, Jafar T, Jowett JB, Li X, Radha V, Rees SD, Takeuchi F, Young R, Aung T, Basit A, Chidambaram M, Das D, Grundberg E, Hedman AK, Hydrie ZI, Islam M, Khor CC, Kowlessur S, Kristensen MM, Liju S, Lim WY, Matthews DR, Liu J, Morris AP, Nica AC, Pinidiyapathirage JM, Prokopenko I, Rasheed A, Samuel M, Shah N, Shera AS, Small KS, Suo C, Wickremasinghe AR, Wong TY, Yang M, Zhang F, DIAGRAM, MuTHER, Abecasis GR, Barnett AH, Caulfield M, Deloukas P, Frayling TM, Froguel P, Kato N, Katulanda P, Kelly MA, Liang J, Mohan V, Sanghera DK, Scott J, Seielstad M, Zimmet PZ, Elliott P, Teo YY, McCarthy MI, Danesh J, Tai ES, Chambers JC.
    Nat Genet; 2011 Aug 28; 43(10):984-9. PubMed ID: 21874001
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  • 15. Use of net reclassification improvement (NRI) method confirms the utility of combined genetic risk score to predict type 2 diabetes.
    Tam CH, Ho JS, Wang Y, Lam VK, Lee HM, Jiang G, Lau ES, Kong AP, Fan X, Woo JL, Tsui SK, Ng MC, So WY, Chan JC, Ma RC.
    PLoS One; 2013 Aug 28; 8(12):e83093. PubMed ID: 24376643
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  • 16. Identification of allelic heterogeneity at type-2 diabetes loci and impact on prediction.
    Klimentidis YC, Zhou J, Wineinger NE.
    PLoS One; 2014 Aug 28; 9(11):e113072. PubMed ID: 25393876
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  • 17. Meta-analysis of genome-wide association studies in African Americans provides insights into the genetic architecture of type 2 diabetes.
    Ng MC, Shriner D, Chen BH, Li J, Chen WM, Guo X, Liu J, Bielinski SJ, Yanek LR, Nalls MA, Comeau ME, Rasmussen-Torvik LJ, Jensen RA, Evans DS, Sun YV, An P, Patel SR, Lu Y, Long J, Armstrong LL, Wagenknecht L, Yang L, Snively BM, Palmer ND, Mudgal P, Langefeld CD, Keene KL, Freedman BI, Mychaleckyj JC, Nayak U, Raffel LJ, Goodarzi MO, Chen YD, Taylor HA, Correa A, Sims M, Couper D, Pankow JS, Boerwinkle E, Adeyemo A, Doumatey A, Chen G, Mathias RA, Vaidya D, Singleton AB, Zonderman AB, Igo RP, Sedor JR, FIND Consortium, Kabagambe EK, Siscovick DS, McKnight B, Rice K, Liu Y, Hsueh WC, Zhao W, Bielak LF, Kraja A, Province MA, Bottinger EP, Gottesman O, Cai Q, Zheng W, Blot WJ, Lowe WL, Pacheco JA, Crawford DC, eMERGE Consortium, DIAGRAM Consortium, Grundberg E, MuTHER Consortium, Rich SS, Hayes MG, Shu XO, Loos RJ, Borecki IB, Peyser PA, Cummings SR, Psaty BM, Fornage M, Iyengar SK, Evans MK, Becker DM, Kao WH, Wilson JG, Rotter JI, Sale MM, Liu S, Rotimi CN, Bowden DW, MEta-analysis of type 2 DIabetes in African Americans Consortium.
    PLoS Genet; 2014 Aug 28; 10(8):e1004517. PubMed ID: 25102180
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  • 18. Genome-wide association study identifies three novel loci for type 2 diabetes.
    Hara K, Fujita H, Johnson TA, Yamauchi T, Yasuda K, Horikoshi M, Peng C, Hu C, Ma RC, Imamura M, Iwata M, Tsunoda T, Morizono T, Shojima N, So WY, Leung TF, Kwan P, Zhang R, Wang J, Yu W, Maegawa H, Hirose H, DIAGRAM consortium, Kaku K, Ito C, Watada H, Tanaka Y, Tobe K, Kashiwagi A, Kawamori R, Jia W, Chan JC, Teo YY, Shyong TE, Kamatani N, Kubo M, Maeda S, Kadowaki T.
    Hum Mol Genet; 2014 Jan 01; 23(1):239-46. PubMed ID: 23945395
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  • 19. Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci.
    Saxena R, Elbers CC, Guo Y, Peter I, Gaunt TR, Mega JL, Lanktree MB, Tare A, Castillo BA, Li YR, Johnson T, Bruinenberg M, Gilbert-Diamond D, Rajagopalan R, Voight BF, Balasubramanyam A, Barnard J, Bauer F, Baumert J, Bhangale T, Böhm BO, Braund PS, Burton PR, Chandrupatla HR, Clarke R, Cooper-DeHoff RM, Crook ED, Davey-Smith G, Day IN, de Boer A, de Groot MC, Drenos F, Ferguson J, Fox CS, Furlong CE, Gibson Q, Gieger C, Gilhuijs-Pederson LA, Glessner JT, Goel A, Gong Y, Grant SF, Grobbee DE, Hastie C, Humphries SE, Kim CE, Kivimaki M, Kleber M, Meisinger C, Kumari M, Langaee TY, Lawlor DA, Li M, Lobmeyer MT, Maitland-van der Zee AH, Meijs MF, Molony CM, Morrow DA, Murugesan G, Musani SK, Nelson CP, Newhouse SJ, O'Connell JR, Padmanabhan S, Palmen J, Patel SR, Pepine CJ, Pettinger M, Price TS, Rafelt S, Ranchalis J, Rasheed A, Rosenthal E, Ruczinski I, Shah S, Shen H, Silbernagel G, Smith EN, Spijkerman AW, Stanton A, Steffes MW, Thorand B, Trip M, van der Harst P, van der A DL, van Iperen EP, van Setten J, van Vliet-Ostaptchouk JV, Verweij N, Wolffenbuttel BH, Young T, Zafarmand MH, Zmuda JM, Look AHEAD Research Group, DIAGRAM consortium, Boehnke M, Altshuler D, McCarthy M, Kao WH, Pankow JS, Cappola TP, Sever P, Poulter N, Caulfield M, Dominiczak A, Shields DC, Bhatt DL, Zhang L, Curtis SP, Danesh J, Casas JP, van der Schouw YT, Onland-Moret NC, Doevendans PA, Dorn GW, Farrall M, FitzGerald GA, Hamsten A, Hegele R, Hingorani AD, Hofker MH, Huggins GS, Illig T, Jarvik GP, Johnson JA, Klungel OH, Knowler WC, Koenig W, März W, Meigs JB, Melander O, Munroe PB, Mitchell BD, Bielinski SJ, Rader DJ, Reilly MP, Rich SS, Rotter JI, Saleheen D, Samani NJ, Schadt EE, Shuldiner AR, Silverstein R, Kottke-Marchant K, Talmud PJ, Watkins H, Asselbergs FW, de Bakker PI, McCaffery J, Wijmenga C, Sabatine MS, Wilson JG, Reiner A, Bowden DW, Hakonarson H, Siscovick DS, Keating BJ.
    Am J Hum Genet; 2012 Mar 09; 90(3):410-25. PubMed ID: 22325160
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