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metformin and Genetic Predisposition

metformin has been researched along with Genetic Predisposition in 40 studies

Metformin: A biguanide hypoglycemic agent used in the treatment of non-insulin-dependent diabetes mellitus not responding to dietary modification. Metformin improves glycemic control by improving insulin sensitivity and decreasing intestinal absorption of glucose. (From Martindale, The Extra Pharmacopoeia, 30th ed, p289)
metformin : A member of the class of guanidines that is biguanide the carrying two methyl substituents at position 1.

Research Excerpts

ExcerptRelevanceReference
"We tested genetic associations with weight loss and weight regain in the Diabetes Prevention Program, a randomized controlled trial of weight loss-inducing interventions (lifestyle and metformin) versus placebo."9.16Genetic predictors of weight loss and weight regain after intensive lifestyle modification, metformin treatment, or standard care in the Diabetes Prevention Program. ( Delahanty, LM; Florez, JC; Franks, PW; Jablonski, KA; Kahn, SE; Knowler, WC; McCaffery, JM; Pan, Q; Shuldiner, A; Watson, KE, 2012)
"We tested genetic associations with weight loss and weight regain in the Diabetes Prevention Program, a randomized controlled trial of weight loss-inducing interventions (lifestyle and metformin) versus placebo."5.16Genetic predictors of weight loss and weight regain after intensive lifestyle modification, metformin treatment, or standard care in the Diabetes Prevention Program. ( Delahanty, LM; Florez, JC; Franks, PW; Jablonski, KA; Kahn, SE; Knowler, WC; McCaffery, JM; Pan, Q; Shuldiner, A; Watson, KE, 2012)
"To investigate the association between family history and clinical symptoms of polycystic ovary syndrome (PCOS) that were thought to be inherited, by treating women with PCOS with contraceptive pills and metformin, and assessing outcomes."5.14The role of family history in clinical symptoms and therapeutic outcomes of women with polycystic ovary syndrome. ( Chen, X; Chi, H; Hu, Z; Li, M; Qiao, J; Wang, Y, 2010)
"The metabolic parameters and functional state of hypothalamic systems in mice with the Yellow mutation in the Agouti locus and with obesity of the melanocortin type and the effect of metformin (MF) treatment (9 days, 200 mg/kg/day) were studied."3.85Metabolic parameters and functional state of hypothalamic signaling systems in A ( Derkach, KV; Mikhrina, AL; Romanova, IV; Shpakov, AO; Zakharova, IO; Zorina, II, 2017)
" SNPs predictive of adverse reaction to warfarin indicated that the SAIF individual is not at risk for bleeding if treated with typical doses of warfarin."3.78Sequencing and analysis of a South Asian-Indian personal genome. ( Burhans, R; Butte, AJ; Chen, R; Davuluri, RV; Gupta, R; Kim, HL; Miller, W; Rajesh, C; Ratan, A; Santhosh, S; Schuster, SC; Seshagiri, S; Thomas, G, 2012)
"Lysine carriers were less protected by 1-year metformin treatment than E/E homozygotes (P < 0."2.73Type 2 diabetes-associated missense polymorphisms KCNJ11 E23K and ABCC8 A1369S influence progression to diabetes and response to interventions in the Diabetes Prevention Program. ( Altshuler, D; Dabelea, D; Florez, JC; Franks, PW; Hamman, RF; Jablonski, KA; Kahn, SE; Knowler, WC; Nathan, DM, 2007)
"At 26 wk, edema was recorded in 48 of the patients (14%) treated with ragaglitazar, and Cox regression analyses identified the common Pro12Ala variant of the PPARG gene as biologically the most important risk factor (hazard ratio 4."2.72The Pro12Ala variant of the PPARG gene is a risk factor for peroxisome proliferator-activated receptor-gamma/alpha agonist-induced edema in type 2 diabetic patients. ( Anant, M; Ekstrøm, CT; Hansen, L; Reinhardt, RR; Tabanera Y Palacios, R; Wassermann, K, 2006)
"Diabetes mellitus and prostate cancer are 2 of the most important public health concerns, especially in the elderly population."2.50Type 2 diabetes: a protective factor for prostate cancer? An overview of proposed mechanisms. ( Hara, N; Hejazi, J; Marotta, F; Rastmanesh, R, 2014)
"Metformin has proven to be effective in the management of the metabolic disturbances, anovulation and hirsutism and is now a widely accepted therapy."2.43[Polycystic ovary syndrome. New pathophysiological discoveries--therapeutic consequences]. ( Madsbad, S; Nilas, L; Nørgaard, K; Svendsen, PF, 2005)
"Recent research has demonstrated that Type 2 Diabetes (T2D) risk is influenced by a number of common polymorphisms, including MC4R rs17782313, PPARG rs1801282, and TCF7L2 rs7903146."1.72Association of gene polymorphisms with body weight changes in prediabetic patients. ( Ahmetov, II; Egorova, ES; Khasanova, KB; Kiseleva, TA; Medvedeva, MS; Pickering, C; Valeeva, EV; Valeeva, FV, 2022)
"Metformin users were older, more likely non-Caucasian, and had higher body mass index, Gleason score, and number of positive cores."1.62Association between metformin medication, genetic variation and prostate cancer risk. ( Finelli, A; Fleshner, NE; Freedland, SJ; Hamilton, RJ; Jayalath, VH; Kulkarni, GS; Lee, MJ; Lu, L; van der Kwast, TH; Xu, W, 2021)
"Participants were all prostate cancer-free men aged 40 to 79 years residing in Stockholm County, Sweden, between January 1, 2006, and December 31, 2015."1.51Association Between Antidiabetic Medications and Prostate-Specific Antigen Levels and Biopsy Results. ( Adolfsson, J; Aly, M; Beckmann, K; Binti Abd Jalal, N; Crawley, D; Eklund, M; Garmo, H; Lantz, A; Nordström, T; Olsson, H; Van Hemelrijck, M, 2019)
"Forty-three patients (47%) experienced gastrointestinal adverse effects in the first 6 months of metformin treatment."1.43Organic cation transporter 1 variants and gastrointestinal side effects of metformin in patients with Type 2 diabetes. ( Bego, T; Causevic, A; Dujic, T; Malenica, M; Pearson, ER; Semiz, S; Velija-Asimi, Z, 2016)
"Metformin is a commonly prescribed diabetes medication whose mechanism of action is poorly understood."1.42Using EHR-Linked Biobank Data to Study Metformin Pharmacogenomics. ( Armasu, SM; Breitenstein, MK; Pathak, J; Ryu, E; Simon, G; Wang, L; Weinshilboum, RM, 2015)
"Metformin is a first-line oral agent used in the treatment of type 2 diabetes, but glycaemic response to this drug is highly variable."1.40Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis. ( Ahlqvist, E; Colhoun, HM; Deshmukh, H; Donnelly, L; Groop, L; Li, M; McCarthy, MI; Morris, AD; Palmer, CN; Pearson, ER; Sham, PC; Spencer, CC; Van Zuydam, N; Yang, J; Zhou, K, 2014)
"In the families of cancer-free DM2 women, DM2 was found to be significantly more frequent (30."1.38Familial diabetes is associated with reduced risk of cancer in diabetic patients: a possible role for metformin. ( Berstein, LM; Boyarkina, MP; Teslenko, SY, 2012)
"Obesity is a common problem and its health consequences depend on the phenotype of obesity."1.38Menopausal obesity and metabolic syndrome - PolSenior study. ( Milewicz, A, 2012)
"Wildtype C."1.37Environmental and genetic preconditioning for long-term anoxia responses requires AMPK in Caenorhabditis elegans. ( LaRue, BL; Padilla, PA, 2011)

Research

Studies (40)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's4 (10.00)29.6817
2010's30 (75.00)24.3611
2020's6 (15.00)2.80

Authors

AuthorsStudies
Valeeva, FV1
Medvedeva, MS1
Khasanova, KB1
Valeeva, EV1
Kiseleva, TA1
Egorova, ES1
Pickering, C1
Ahmetov, II1
Alfaqih, MA1
Aljanabi, M1
Ababneh, E1
Khanfar, M1
Alqudah, M1
Sater, M1
Merino, J1
Jablonski, KA6
Mercader, JM1
Kahn, SE6
Chen, L5
Harden, M2
Delahanty, LM2
Araneta, MRG1
Walford, GA2
Jacobs, SBR1
Ibebuogu, UN1
Franks, PW5
Knowler, WC6
Florez, JC7
Beckmann, K1
Crawley, D1
Nordström, T1
Aly, M1
Olsson, H1
Lantz, A1
Binti Abd Jalal, N1
Garmo, H1
Adolfsson, J1
Eklund, M1
Van Hemelrijck, M1
Lee, MJ1
Jayalath, VH1
Xu, W1
Lu, L1
Freedland, SJ1
Fleshner, NE1
Kulkarni, GS1
Finelli, A1
van der Kwast, TH1
Hamilton, RJ1
Tsai, HY1
Wu, SC1
Li, JC1
Chen, YM1
Chan, CC1
Chen, CH2
Nguépy Keubo, FR1
Mboua, PC1
Djifack Tadongfack, T1
Fokouong Tchoffo, E1
Tasson Tatang, C1
Ide Zeuna, J1
Noupoue, EM1
Tsoplifack, CB1
Folefack, GO1
Kettani, M1
Bandelier, P1
Huo, J1
Li, H4
Yu, D1
Arulsamy, N1
AlAbbad, S1
Sardot, T1
Lekashvili, O1
Decato, D1
Lelj, F1
Alexander Ross, JB1
Rosenberg, E1
Nazir, H1
Muthuswamy, N1
Louis, C1
Jose, S1
Prakash, J1
Buan, MEM1
Flox, C1
Chavan, S1
Shi, X1
Kauranen, P1
Kallio, T1
Maia, G1
Tammeveski, K1
Lymperopoulos, N1
Carcadea, E1
Veziroglu, E1
Iranzo, A1
M Kannan, A1
Arunamata, A1
Tacy, TA1
Kache, S1
Mainwaring, RD1
Ma, M1
Maeda, K1
Punn, R1
Noguchi, S1
Hahn, S3
Iwasa, Y3
Ling, J2
Voccio, JP2
Kim, Y3
Song, J3
Bascuñán, J2
Chu, Y1
Tomita, M1
Cazorla, M1
Herrera, E1
Palomeque, E1
Saud, N1
Hoplock, LB1
Lobchuk, MM1
Lemoine, J1
Li, X10
Henson, MA1
Unsihuay, D1
Qiu, J1
Swaroop, S1
Nagornov, KO1
Kozhinov, AN1
Tsybin, YO1
Kuang, S1
Laskin, J1
Zin, NNINM1
Mohamad, MN1
Roslan, K1
Abdul Wafi, S1
Abdul Moin, NI1
Alias, A1
Zakaria, Y1
Abu-Bakar, N1
Naveed, A1
Jilani, K1
Siddique, AB1
Akbar, M1
Riaz, M1
Mushtaq, Z1
Sikandar, M1
Ilyas, S1
Bibi, I1
Asghar, A1
Rasool, G1
Irfan, M2
Li, XY1
Zhao, S1
Fan, XH1
Chen, KP1
Hua, W1
Liu, ZM1
Xue, XD1
Zhou, B1
Zhang, S2
Xing, YL1
Chen, MA1
Sun, Y1
Neradilek, MB1
Wu, XT1
Zhang, D2
Huang, W1
Cui, Y1
Yang, QQ1
Li, HW1
Zhao, XQ1
Hossein Rashidi, B1
Tarafdari, A1
Ghazimirsaeed, ST1
Shahrokh Tehraninezhad, E1
Keikha, F1
Eslami, B1
Ghazimirsaeed, SM1
Jafarabadi, M1
Silvani, Y1
Lovita, AND1
Maharani, A1
Wiyasa, IWA1
Sujuti, H1
Ratnawati, R1
Raras, TYM1
Lemin, AS1
Rahman, MM1
Pangarah, CA1
Kiyu, A1
Zeng, C2
Du, H1
Lin, D1
Jalan, D1
Rubagumya, F1
Hopman, WM1
Vanderpuye, V1
Lopes, G1
Seruga, B1
Booth, CM1
Berry, S1
Hammad, N1
Sajo, EA1
Okunade, KS1
Olorunfemi, G1
Rabiu, KA1
Anorlu, RI1
Xu, C2
Xiang, Y1
Xu, X1
Zhou, L2
Dong, X1
Tang, S1
Gao, XC1
Wei, CH1
Zhang, RG1
Cai, Q1
He, Y1
Tong, F1
Dong, JH1
Wu, G1
Dong, XR1
Tang, X1
Tao, F1
Xiang, W1
Zhao, Y2
Jin, L1
Tao, H1
Lei, Y1
Gan, H1
Huang, Y1
Chen, Y3
Shan, A1
Zhao, H2
Wu, M2
Ma, Q1
Wang, J5
Zhang, E1
Zhang, J3
Li, Y5
Xue, F1
Deng, L1
Liu, L2
Yan, Z2
Wang, Y3
Meng, J1
Chen, G2
Anastassiadou, M1
Bernasconi, G1
Brancato, A1
Carrasco Cabrera, L1
Greco, L1
Jarrah, S1
Kazocina, A1
Leuschner, R1
Magrans, JO1
Miron, I1
Nave, S1
Pedersen, R1
Reich, H1
Rojas, A1
Sacchi, A1
Santos, M1
Theobald, A1
Vagenende, B1
Verani, A1
Du, L1
Liu, X1
Ren, Y1
Li, J7
Li, P1
Jiao, Q1
Meng, P1
Wang, F2
Wang, YS1
Wang, C3
Zhou, X2
Wang, W1
Wang, S2
Hou, J1
Zhang, A1
Lv, B1
Gao, C1
Pang, D1
Lu, K1
Ahmad, NH1
Wang, L2
Zhu, J2
Zhang, L2
Zhuang, T1
Tu, J1
Zhao, Z1
Qu, Y1
Yao, H1
Wang, X5
Lee, DF1
Shen, J3
Wen, L1
Huang, G2
Xie, X1
Zhao, Q1
Hu, W1
Zhang, Y4
Wu, X1
Lu, J2
Li, M3
Li, W2
Wu, W1
Du, F1
Ji, H1
Yang, X2
Xu, Z1
Wan, L1
Wen, Q1
Cho, CH1
Zou, C1
Xiao, Z1
Liao, J1
Su, X1
Bi, Z1
Su, Q1
Huang, H1
Wei, Y2
Gao, Y2
Na, KJ1
Choi, H1
Oh, HR1
Kim, YH1
Lee, SB1
Jung, YJ1
Koh, J1
Park, S1
Lee, HJ1
Jeon, YK1
Chung, DH1
Paeng, JC1
Park, IK1
Kang, CH1
Cheon, GJ1
Kang, KW1
Lee, DS1
Kim, YT1
Pajuelo-Lozano, N1
Alcalá, S1
Sainz, B1
Perona, R1
Sanchez-Perez, I1
Logotheti, S1
Marquardt, S1
Gupta, SK1
Richter, C1
Edelhäuser, BAH1
Engelmann, D1
Brenmoehl, J1
Söhnchen, C1
Murr, N1
Alpers, M1
Singh, KP1
Wolkenhauer, O1
Heckl, D1
Spitschak, A1
Pützer, BM1
Liao, Y1
Cheng, J1
Kong, X1
Li, S1
Zhang, M4
Zhang, H1
Yang, T2
Dong, Y1
Xu, Y1
Yuan, Z1
Cao, J1
Zheng, Y1
Luo, Z1
Mei, Z1
Yao, Y1
Liu, Z2
Liang, C1
Yang, H1
Song, Y1
Yu, K1
Zhu, C1
Huang, Z1
Qian, J1
Ge, J1
Hu, J2
Wang, H2
Liu, Y4
Mi, Y1
Kong, H1
Xi, D1
Yan, W1
Luo, X1
Ning, Q1
Chang, X2
Zhang, T2
Wang, Q2
Rathore, MG1
Reddy, K1
Chen, H1
Shin, SH1
Ma, WY1
Bode, AM1
Dong, Z1
Mu, W1
Liu, C3
Gao, F1
Qi, Y1
Lu, H1
Zhang, X4
Cai, X1
Ji, RY1
Hou, Y3
Tian, J2
Shi, Y1
Ying, S1
Tan, M1
Feng, G1
Kuang, Y1
Chen, D1
Wu, D3
Zhu, ZQ1
Tang, HX1
Shi, ZE1
Kang, J1
Liu, Q1
Qi, J2
Mu, J1
Cong, Z1
Chen, S2
Fu, D1
Li, Z2
Celestrin, CP1
Rocha, GZ1
Stein, AM1
Guadagnini, D1
Tadelle, RM1
Saad, MJA1
Oliveira, AG1
Bianconi, V1
Bronzo, P1
Banach, M1
Sahebkar, A1
Mannarino, MR1
Pirro, M1
Patsourakos, NG1
Kouvari, M1
Kotidis, A1
Kalantzi, KI1
Tsoumani, ME1
Anastasiadis, F1
Andronikos, P1
Aslanidou, T1
Efraimidis, P1
Georgiopoulos, A1
Gerakiou, K1
Grigoriadou-Skouta, E1
Grigoropoulos, P1
Hatzopoulos, D1
Kartalis, A1
Lyras, A1
Markatos, G1
Mikrogeorgiou, A1
Myroforou, I1
Orkopoulos, A1
Pavlidis, P1
Petras, C1
Riga, M1
Skouloudi, M1
Smyrnioudis, N1
Thomaidis, K1
Tsikouri, GE1
Tsikouris, EI1
Zisimos, K1
Vavoulis, P1
Vitali, MG1
Vitsas, G1
Vogiatzidis, C1
Chantanis, S1
Fousas, S1
Panagiotakos, DB1
Tselepis, AD1
Jungen, C1
Alken, FA1
Eickholt, C1
Scherschel, K1
Kuklik, P1
Klatt, N1
Schwarzl, J1
Moser, J1
Jularic, M1
Akbulak, RO1
Schaeffer, B1
Willems, S1
Meyer, C1
Nowak, JK1
Szczepanik, M1
Trypuć, M1
Pogorzelski, A1
Bobkowski, W1
Grytczuk, M1
Minarowska, A1
Wójciak, R1
Walkowiak, J1
Lu, Y1
Xi, J1
Li, C1
Chen, W2
Hu, X1
Zhang, F1
Wei, H1
Wang, Z1
Gurzu, S1
Jung, I1
Sugimura, H2
Stefan-van Staden, RI1
Yamada, H1
Natsume, H1
Iwashita, Y1
Szodorai, R1
Szederjesi, J1
Yari, D1
Ehsanbakhsh, Z1
Validad, MH1
Langroudi, FH1
Esfandiari, H1
Prager, A1
Hassanpour, K1
Kurup, SP1
Mets-Halgrimson, R1
Yoon, H1
Zeid, JL1
Mets, MB1
Rahmani, B1
Araujo-Castillo, RV1
Culquichicón, C1
Solis Condor, R1
Efendi, F1
Sebayang, SK1
Astutik, E1
Hadisuyatmana, S1
Has, EMM1
Kuswanto, H1
Foroutan, T1
Ahmadi, F1
Moayer, F1
Khalvati, S1
Zhang, Q2
Lyu, Y1
Huang, J1
Yu, N1
Wen, Z1
Hou, H1
Zhao, T1
Gupta, A1
Khosla, N1
Govindasamy, V1
Saini, A1
Annapurna, K1
Dhakate, SR1
Akkaya, Ö1
Chandgude, AL1
Dömling, A1
Harnett, J1
Oakes, K1
Carè, J1
Leach, M1
Brown, D1
Cramer, H1
Pinder, TA1
Steel, A1
Anheyer, D1
Cantu, J1
Valle, J1
Flores, K1
Gonzalez, D1
Valdes, C1
Lopez, J1
Padilla, V1
Alcoutlabi, M1
Parsons, J1
Núñez, K1
Hamed, M1
Fort, D1
Bruce, D1
Thevenot, P1
Cohen, A1
Weber, P1
Menezes, AMB1
Gonçalves, H1
Perez-Padilla, R1
Jarvis, D1
de Oliveira, PD1
Wehrmeister, FC1
Mir, S1
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Bellingham, G1
Singh, M2
Waseem, R1
Eckert, DJ1
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Hegde, H1
Shimpi, N1
Panny, A1
Glurich, I1
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Acharya, A1
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Ploutz-Snyder, R1
Guilliams, M1
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Ploutz-Snyder, LL1
Martens, C1
Goplen, FK1
Aasen, T1
Gjestad, R1
Nordfalk, KF1
Nordahl, SHG1
Inoue, T1
Soshi, S1
Kubota, M1
Marumo, K1
Mortensen, NP1
Caffaro, MM1
Patel, PR2
Uddin, MJ1
Aravamudhan, S1
Sumner, SJ1
Fennell, TR1
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Cohen, NJ1
Kruger, D1
Beck, RW1
Bergenstal, RM1
Calhoun, P1
Cushman, T1
Haban, A1
Hood, K1
Johnson, ML1
McArthur, T1
Olson, BA1
Weinstock, RS1
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Oser, TK1
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Strayer, H1
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Maruyama, H1
Hirayama, K1
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Shimohata, H1
Kobayashi, M1
Buscagan, TM1
Rees, DC1
Jaborek, JR1
Zerby, HN1
Wick, MP1
Fluharty, FL1
Moeller, SJ1
Razavi, P1
Dickler, MN1
Shah, PD1
Toy, W1
Brown, DN1
Won, HH1
Li, BT1
Shen, R1
Vasan, N1
Modi, S1
Jhaveri, K1
Caravella, BA1
Patil, S1
Selenica, P1
Zamora, S1
Cowan, AM1
Comen, E1
Singh, A1
Covey, A1
Berger, MF1
Hudis, CA1
Norton, L1
Nagy, RJ1
Odegaard, JI1
Lanman, RB1
Solit, DB1
Robson, ME1
Lacouture, ME1
Brogi, E1
Reis-Filho, JS1
Moynahan, ME1
Scaltriti, M1
Chandarlapaty, S1
Papouskova, K1
Moravcova, M1
Masrati, G1
Ben-Tal, N1
Sychrova, H1
Zimmermannova, O1
Fang, J1
Fan, Y1
Luo, T2
Su, H1
Tsetseris, L1
Anthopoulos, TD1
Liu, SF1
Zhao, K1
Sacan, O1
Turkyilmaz, IB1
Bayrak, BB1
Mutlu, O1
Akev, N1
Yanardag, R1
Gruber, S1
Kamnoedboon, P1
Özcan, M1
Srinivasan, M1
Jo, YH1
Oh, HK1
Jeong, SY1
Lee, BG1
Zheng, J1
Guan, H1
Li, D3
Tan, H1
Maji, TK1
J R, A1
Mukherjee, S1
Alexander, R1
Mondal, A1
Das, S1
Sharma, RK1
Chakraborty, NK1
Dasgupta, K1
Sharma, AMR1
Hawaldar, R1
Pandey, M1
Naik, A1
Majumdar, K1
Pal, SK1
Adarsh, KV1
Ray, SK1
Karmakar, D1
Ma, Y2
Gao, W1
Ma, S1
Lin, W1
Zhou, T1
Wu, T1
Wu, Q1
Ye, C1
He, X1
Jiang, F1
Yuan, D1
Chen, Q1
Hong, M1
Chen, K1
Hussain, M1
Razi, SS1
Yildiz, EA1
Zhao, J1
Yaglioglu, HG1
Donato, MD1
Jiang, J1
Jamil, MI1
Zhan, X1
Chen, F1
Cheng, D1
Wu, CT1
Utsunomiya, T1
Ichii, T1
Fujinami, S1
Nakajima, K1
Sanchez, DM1
Raucci, U1
Ferreras, KN1
Martínez, TJ1
Mordi, NA1
Mordi, IR1
Singh, JS1
McCrimmon, RJ1
Struthers, AD1
Lang, CC1
Wang, XW1
Yuan, LJ1
Yang, Y1
Chen, WF1
Luo, R1
Yang, K1
Amarasiri, SS1
Attanayake, AP1
Arawwawala, LDAM1
Jayatilaka, KAPW1
Mudduwa, LKB1
Ogunsuyi, O2
Akanni, O1
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Gutleb, AC1
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Wan, T1
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Granger, CB1
Hohnloser, SH1
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El-Araby, IE1
El-Magd, MA1
van Ginkel, MPH1
Schijven, MP1
van Grevenstein, WMU1
Schreuder, HWR1
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Salgado Júnior, IB1
Vasques, GJ1
Pereira, MADS1
Reginatto, FH1
Ferraz, ABF1
Vasilenko, EA1
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Astrakhantseva, IV1
Drutskaya, MS1
Tillib, SV1
Nedospasov, SA1
Mokhonov, VV1
Nam, YW1
Cui, M1
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Zoghebi, KA1
Rahighi, S1
Parang, K1
Patterson, KC1
Kahanovitch, U1
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Hablitz, JJ1
Staruschenko, A1
Mulkey, DK1
Olsen, ML1
Gu, L1
Cao, X1
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Wu, K1
Zhang, YY1
Zhu, Y1
Lu, DZ1
Dong, W1
Bi, WJ1
Feng, XJ1
Wen, LM1
Sun, H1
Qi, MC1
Chang, CC1
Dinh, TK1
Lee, YA1
Wang, FN1
Sung, YC1
Yu, PL1
Chiu, SC1
Shih, YC1
Wu, CY1
Huang, YD1
Lu, TT1
Wan, D1
Sakizadeh, J1
Cline, JP1
Snyder, MA1
Kiely, CJ1
McIntosh, S1
Jiang, X1
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Zhao, CK1
Yang, R1
Zhang, QY1
Chen, KJ2
Liu, H1
He, Z1
Chen, B1
Wu, J1
Du, X1
Moore, J1
Blank, BR1
Eksterowicz, J1
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Chan, B1
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Chen, X2
Duong, F1
Kong, W1
Chang, JH1
Sun, J1
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Ye, Q1
Junttila, MR1
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Sun, D1
Fei, P1
Xie, Q1
Jiang, Y1
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Wu, Y1
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Wallace, R1
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Zagatto, AM1
Machado, FA1
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Lin, YL1
Kuo, YF1
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Li, B2
McSpadden, S1
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Thakur, A1
Kondadasula, SV1
Ji, K1
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Ung, J1
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Shuvy, M1
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Nam, KT1
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Li, Q1
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Rosenheck, RA1
Miyake, T1
Kimoto, E1
Luo, L1
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Horlbogen, LM1
Ramanathan, R1
Wood, LS1
Johnson, JG1
Le, VH1
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Rodrigues, AD1
Muto, C1
Furihata, K1
Sugiyama, Y1
Kusuhara, H1
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Gu, S1
Sun, X1
Zhou, G1
Toma, C1
Khandhar, S1
Zalewski, AM1
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Tu, TM1
Jaber, WA1
Cho, J2
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Razek, S1
Choi, YH1
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Xie, S1
Lindsay, AP1
Bates, FS1
Lodge, TP1
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Liu, JJ1
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Luna, JM1
Do, T1
Haiges, R1
Miller Iii, TF1
Marinescu, SC1
Lopez, SA1
Compter, I1
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Hoeben, A1
Rouschop, KMA1
Reymen, B1
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Bauer, NJC1
Anten, MM1
Wesseling, P1
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De Ruysscher, D1
Lambin, P1
Qiang, L1
Yang, S1
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He, YY1
Kumar, SK1
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Cohen, AD1
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Callander, N1
Singh, AK1
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Menter, A1
Parsons, B1
Kumar, P1
Kapoor, P1
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Zonder, JA1
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Anderson, KC1
Richardson, PG1
Orlowski, RZ1
Wagner, LI1
Rajkumar, SV1
Li, G1
Hou, G1
Cui, J1
Xie, H1
Sun, Z1
Fang, Z1
Dunstand-Guzmán, E1
Hallal-Calleros, C1
Hernández-Velázquez, VM1
Canales-Vargas, EJ1
Domínguez-Roldan, R1
Pedernera, M1
Peña-Chora, G1
Flores-Pérez, I1
Kim, MJ1
Han, C1
White, K1
Park, HJ1
Ding, D1
Boyd, K1
Rothenberger, C1
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Carmichael, P1
Linser, PJ1
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Salvi, R1
Someya, S1
Samuni, A1
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Divya, KP1
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Feng, J2
Qian, Y1
Cheng, Q1
Ma, H1
Ren, X1
Wei, Q1
Pan, W1
Guo, J1
Situ, B1
An, T1
Zheng, L1
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Ratola, N1
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Turco, M1
Schuhmacher, M1
Costa, S1
Teixeira, JP1
Costa, C1
Syed, A1
Marraiki, N1
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Yassin, MT1
Chankhanittha, T1
Nanan, S1
Sorokina, KN1
Samoylova, YV1
Gromov, NV1
Ogorodnikova, OL1
Parmon, VN1
Ye, J1
Liao, W1
Zhang, P1
Nabi, M1
Cai, Y1
Li, F1
Alsbou, EM1
Omari, KW1
Adeosun, WA1
Asiri, AM1
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Woo, YC1
Kim, H1
Freguia, S1
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Choi, JS1
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López-Santos, AL1
Medina-Campos, ON1
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Militz, H1
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Ismail, M1
Arif, MA1
Niazi, R1
Khalid, S1
Martono, DP1
Heerspink, HJL1
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Marotta, F1
Hara, N1
Zhou, K1
Donnelly, L1
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Deshmukh, H1
Van Zuydam, N1
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Groop, L1
Morris, AD1
Colhoun, HM1
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Pearson, ER2
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Fanelli, RR1
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Huang, P1
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Semiz, S1
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Ma, A1
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McAteer, JB2
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Thomas, G1
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Dabelea, D2
Shuldiner, AR1
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Nilas, L1
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Hansen, L1
Ekstrøm, CT1
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Clinical Trials (3)

Trial Overview

TrialPhaseEnrollmentStudy TypeStart DateStatus
[NCT00004992]Phase 33,234 participants (Actual)Interventional1996-07-31Completed
Genetics of Diabetes Audit and Research in Tayside Scotland (DOLORisk Dundee)[NCT02783469]1,915 participants (Actual)Observational2004-10-31Completed
Study to Understand the Genetics of the Acute Response to Metformin and Glipizide in Humans[NCT01762046]Phase 11,000 participants (Anticipated)Interventional2008-01-31Active, not recruiting
[information is prepared from clinicaltrials.gov, extracted Sep-2024]

Reviews

4 reviews available for metformin and Genetic Predisposition

ArticleYear
Psychological distress among health care professionals of the three COVID-19 most affected Regions in Cameroon: Prevalence and associated factors.
    Annales medico-psychologiques, 2021, Volume: 179, Issue:2

    Topics: 3' Untranslated Regions; 5'-Nucleotidase; A549 Cells; Accidental Falls; Acetylcholinesterase; Acryli

2021
Type 2 diabetes: a protective factor for prostate cancer? An overview of proposed mechanisms.
    Clinical genitourinary cancer, 2014, Volume: 12, Issue:3

    Topics: Carcinogenesis; Diabetes Mellitus, Type 2; Diet Therapy; Genetic Predisposition to Disease; Humans;

2014
Novel drugs in familial combined hyperlipidemia: lessons from type 2 diabetes mellitus.
    Current opinion in lipidology, 2010, Volume: 21, Issue:6

    Topics: Adipose Tissue; Cholesterol, LDL; Diabetes Mellitus, Type 2; Drug Discovery; Fatty Liver; Genetic Pr

2010
[Polycystic ovary syndrome. New pathophysiological discoveries--therapeutic consequences].
    Ugeskrift for laeger, 2005, Aug-22, Volume: 167, Issue:34

    Topics: Contraceptives, Oral; Diabetes Mellitus, Type 2; Female; Genetic Predisposition to Disease; Humans;

2005

Trials

12 trials available for metformin and Genetic Predisposition

ArticleYear
Interaction Between Type 2 Diabetes Prevention Strategies and Genetic Determinants of Coronary Artery Disease on Cardiometabolic Risk Factors.
    Diabetes, 2020, Volume: 69, Issue:1

    Topics: Adult; Cardiovascular Diseases; Coronary Artery Disease; Diabetes Mellitus, Type 2; Exercise; Exerci

2020
Psychological distress among health care professionals of the three COVID-19 most affected Regions in Cameroon: Prevalence and associated factors.
    Annales medico-psychologiques, 2021, Volume: 179, Issue:2

    Topics: 3' Untranslated Regions; 5'-Nucleotidase; A549 Cells; Accidental Falls; Acetylcholinesterase; Acryli

2021
The study to understand the genetics of the acute response to metformin and glipizide in humans (SUGAR-MGH): design of a pharmacogenetic resource for type 2 diabetes.
    PloS one, 2015, Volume: 10, Issue:3

    Topics: Adult; Aged; Alleles; Biomarkers; Blood Glucose; Diabetes Mellitus, Type 2; Female; Genetic Predispo

2015
Leukocyte telomere length and left ventricular function after acute ST-elevation myocardial infarction: data from the glycometabolic intervention as adjunct to primary coronary intervention in ST elevation myocardial infarction (GIPS-III) trial.
    Clinical research in cardiology : official journal of the German Cardiac Society, 2015, Volume: 104, Issue:10

    Topics: Acute Disease; Causality; Combined Modality Therapy; Comorbidity; Double-Blind Method; Female; Genet

2015
The Relationships of Obesity-Related Genetic Variants With Metabolic Profiles and Response to Metformin in Clozapine-Treated Patients With Schizophrenia.
    Journal of clinical psychopharmacology, 2015, Volume: 35, Issue:5

    Topics: Adaptor Proteins, Signal Transducing; Adult; Aldose-Ketose Isomerases; Alleles; Antipsychotic Agents

2015
Lifestyle and Metformin Ameliorate Insulin Sensitivity Independently of the Genetic Burden of Established Insulin Resistance Variants in Diabetes Prevention Program Participants.
    Diabetes, 2016, Volume: 65, Issue:2

    Topics: Adult; Diabetes Mellitus, Type 2; Female; Genetic Predisposition to Disease; Genetic Variation; Huma

2016
The association of ENPP1 K121Q with diabetes incidence is abolished by lifestyle modification in the diabetes prevention program.
    The Journal of clinical endocrinology and metabolism, 2009, Volume: 94, Issue:2

    Topics: Chromans; Combined Modality Therapy; Diabetes Mellitus, Type 2; Exercise Therapy; Female; Gene Frequ

2009
The role of family history in clinical symptoms and therapeutic outcomes of women with polycystic ovary syndrome.
    International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2010, Volume: 108, Issue:1

    Topics: Adolescent; Adult; Area Under Curve; Blood Glucose; Contraceptives, Oral; Female; Follow-Up Studies;

2010
Genetic predictors of weight loss and weight regain after intensive lifestyle modification, metformin treatment, or standard care in the Diabetes Prevention Program.
    Diabetes care, 2012, Volume: 35, Issue:2

    Topics: Alpha-Ketoglutarate-Dependent Dioxygenase FTO; Body Weight; Brain-Derived Neurotrophic Factor; Cell

2012
Effects of genetic variants previously associated with fasting glucose and insulin in the Diabetes Prevention Program.
    PloS one, 2012, Volume: 7, Issue:9

    Topics: Alleles; Blood Glucose; Cohort Studies; Delta-5 Fatty Acid Desaturase; Diabetes Mellitus, Type 2; Et

2012
The Pro12Ala variant of the PPARG gene is a risk factor for peroxisome proliferator-activated receptor-gamma/alpha agonist-induced edema in type 2 diabetic patients.
    The Journal of clinical endocrinology and metabolism, 2006, Volume: 91, Issue:9

    Topics: Diabetes Mellitus, Type 2; DNA; Edema; Female; Genetic Predisposition to Disease; Genotype; Glyburid

2006
Type 2 diabetes-associated missense polymorphisms KCNJ11 E23K and ABCC8 A1369S influence progression to diabetes and response to interventions in the Diabetes Prevention Program.
    Diabetes, 2007, Volume: 56, Issue:2

    Topics: Alleles; ATP-Binding Cassette Transporters; Diabetes Mellitus, Type 2; Disease Progression; Female;

2007

Other Studies

25 other studies available for metformin and Genetic Predisposition

ArticleYear
Association of gene polymorphisms with body weight changes in prediabetic patients.
    Molecular biology reports, 2022, Volume: 49, Issue:6

    Topics: Diabetes Mellitus, Type 2; Female; Genetic Predisposition to Disease; Genotype; Humans; Metformin; M

2022
Leptin and the rs2167270 Polymorphism Are Associated with Glycemic Control in Type Two Diabetes Mellitus Patients on Metformin Therapy.
    Medicina (Kaunas, Lithuania), 2023, May-22, Volume: 59, Issue:5

    Topics: Case-Control Studies; Diabetes Mellitus, Type 2; Genetic Predisposition to Disease; Genotype; Glycem

2023
Association Between Antidiabetic Medications and Prostate-Specific Antigen Levels and Biopsy Results.
    JAMA network open, 2019, 11-01, Volume: 2, Issue:11

    Topics: Adult; Aged; Biopsy; Case-Control Studies; Cohort Studies; Diabetes Mellitus; Educational Status; Ge

2019
Association between metformin medication, genetic variation and prostate cancer risk.
    Prostate cancer and prostatic diseases, 2021, Volume: 24, Issue:1

    Topics: Aged; Biopsy; Case-Control Studies; DNA, Neoplasm; Genetic Predisposition to Disease; Genome-Wide As

2021
Loss of the
    Disease models & mechanisms, 2020, 08-27, Volume: 13, Issue:8

    Topics: Amino Acids, Branched-Chain; Animals; Animals, Genetically Modified; Apoptosis; Brain; Casein Kinase

2020
Pharmacogenetics of oral antidiabetes drugs: evidence for diverse signals at the IRS1 locus.
    The pharmacogenomics journal, 2018, 05-22, Volume: 18, Issue:3

    Topics: Administration, Oral; Aged; Alleles; Blood Glucose; Diabetes Mellitus, Type 2; Female; Genetic Predi

2018
Metabolic parameters and functional state of hypothalamic signaling systems in A
    Doklady. Biochemistry and biophysics, 2017, Volume: 477, Issue:1

    Topics: Animals; Genetic Predisposition to Disease; Hypothalamus; Metformin; Mice; Obesity; Proto-Oncogene P

2017
Searching for the roots of brain cancer.
    Nature, 2018, Volume: 561, Issue:7724

    Topics: Animals; Brain Neoplasms; Cell Phone; Chickenpox; Chickenpox Vaccine; Developed Countries; Diabetes

2018
Effects of SLC22A2 (rs201919874) and SLC47A2 (rs138244461) genetic variants on Metformin Pharmacokinetics in Pakistani T2DM patients.
    JPMA. The Journal of the Pakistan Medical Association, 2019, Volume: 69, Issue:2

    Topics: Adult; Case-Control Studies; Diabetes Mellitus, Type 2; Female; Gene Frequency; Genetic Predispositi

2019
No significant association of type 2 diabetes-related genetic risk scores with glycated haemoglobin levels after initiating metformin or sulphonylurea derivatives.
    Diabetes, obesity & metabolism, 2019, Volume: 21, Issue:10

    Topics: Aged; Diabetes Mellitus, Type 2; Female; Genetic Predisposition to Disease; Glycated Hemoglobin; Hum

2019
Heritability of variation in glycaemic response to metformin: a genome-wide complex trait analysis.
    The lancet. Diabetes & endocrinology, 2014, Volume: 2, Issue:6

    Topics: Blood Glucose; Body Mass Index; Data Interpretation, Statistical; Diabetes Mellitus, Type 2; Female;

2014
Using EHR-Linked Biobank Data to Study Metformin Pharmacogenomics.
    Studies in health technology and informatics, 2015, Volume: 210

    Topics: Biological Specimen Banks; Diabetes Mellitus; Electronic Health Records; Genetic Predisposition to D

2015
Specificity protein (Sp) transcription factors and metformin regulate expression of the long non-coding RNA HULC.
    Oncotarget, 2015, Sep-22, Volume: 6, Issue:28

    Topics: Antineoplastic Agents; Carcinoma, Hepatocellular; Cell Movement; Cell Proliferation; Cell Survival;

2015
Organic cation transporter 1 variants and gastrointestinal side effects of metformin in patients with Type 2 diabetes.
    Diabetic medicine : a journal of the British Diabetic Association, 2016, Volume: 33, Issue:4

    Topics: Aged; Alleles; Amino Acid Substitution; Bosnia and Herzegovina; Cohort Studies; Diabetes Mellitus, T

2016
Metformin: treating the cause of Fanconi anemia?
    Blood, 2016, 12-15, Volume: 128, Issue:24

    Topics: Fanconi Anemia; Fanconi Anemia Complementation Group D2 Protein; Fanconi Anemia Complementation Grou

2016
Phenotype and Tissue Expression as a Function of Genetic Risk in Polycystic Ovary Syndrome.
    PloS one, 2017, Volume: 12, Issue:1

    Topics: Biomarkers; Case-Control Studies; Female; Follicle Stimulating Hormone; Gene Expression; Gene Expres

2017
AMPK activation reduces the number of atheromata macrophages in ApoE deficient mice.
    Atherosclerosis, 2017, Volume: 258

    Topics: Aminoimidazole Carboxamide; AMP-Activated Protein Kinases; Animals; Antigens, Ly; Aorta; Aortic Dise

2017
Excretion of estrogens, catecholestrogens and phytoestrogens in carriers of BRCA1 gene mutations: effects of metformin.
    Neoplasma, 2010, Volume: 57, Issue:4

    Topics: Breast Neoplasms; Estrogens; Estrogens, Catechol; Female; Gas Chromatography-Mass Spectrometry; Gene

2010
New strategies in pancreatic cancer: emerging epidemiologic and therapeutic concepts.
    Clinical cancer research : an official journal of the American Association for Cancer Research, 2010, Sep-01, Volume: 16, Issue:17

    Topics: Animals; Diabetes Mellitus, Type 2; Disease Models, Animal; Female; Genetic Predisposition to Diseas

2010
Familial diabetes is associated with reduced risk of cancer in diabetic patients: a possible role for metformin.
    Medical oncology (Northwood, London, England), 2012, Volume: 29, Issue:2

    Topics: Aged; Case-Control Studies; Diabetes Complications; Diabetes Mellitus, Type 2; Female; Follow-Up Stu

2012
Environmental and genetic preconditioning for long-term anoxia responses requires AMPK in Caenorhabditis elegans.
    PloS one, 2011, Feb-03, Volume: 6, Issue:2

    Topics: Adenylate Kinase; Animals; Caenorhabditis elegans; Dietary Carbohydrates; Environment; Escherichia c

2011
Gerosuppressant metformin: less is more.
    Aging, 2011, Volume: 3, Issue:4

    Topics: Adenylate Kinase; Aging; Animals; Breast Neoplasms; Cellular Senescence; Disease Progression; Enzyme

2011
Menopausal obesity and metabolic syndrome - PolSenior study.
    Minerva endocrinologica, 2012, Volume: 37, Issue:1

    Topics: Age of Onset; Aged; Aged, 80 and over; Anthropometry; Cardiovascular Diseases; Cohort Studies; Diabe

2012
[Molecular and genetic aspects of heart failure in diabetic patients].
    Vestnik Rossiiskoi akademii meditsinskikh nauk, 2012, Issue:1

    Topics: Biotransformation; Cardiotonic Agents; Cardiovascular Agents; Diabetes Complications; Drug Delivery

2012
Sequencing and analysis of a South Asian-Indian personal genome.
    BMC genomics, 2012, Aug-31, Volume: 13

    Topics: Anticoagulants; Asian People; Chromosome Mapping; Diabetes Mellitus; DNA Copy Number Variations; Fem

2012