Fol. Biol. 2022, 68, 159-179

https://doi.org/10.14712/fb2022068050159

Genetics of T2DM and Its Chronic Complications: Are We Any Closer to the Individual Prediction of Genetic Risk?

D. Galuška1, Lucie Dlouhá2, J. A. Hubáček3,4, K. Kaňková1

1Department of Pathophysiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
2Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Prague, Czech Republic
33rd Department of Medicine – Department of Endocrinology and Metabolism, First Faculty of Medicine, Charles University and General University Hospital in Prague, Czech Republic
4Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic

Received November 2022
Accepted February 2023

References

1. Adams, J. N., Raffield, L. M., Freedman, B. I., Langefeld, C. D., Ng, M. C., Carr, J. J., Cox, A. J., Bowden, D. W. (2014) Analysis of common and coding variants with cardiovascular disease in the diabetes heart study. Cardiovasc. Diabetol. 13, 77. <https://doi.org/10.1186/1475-2840-13-77>
2. Adeghate, E., Schattner, P., Dunn, E. (2006) An update on the etiology and epidemiology of diabetes mellitus. Ann. N. Y. Acad. Sci. 1084, 1-29. <https://doi.org/10.1196/annals.1372.029>
3. Ahlqvist, E., van Zuydam, N. R., Groop, L. C., McCarthy, M. I. (2015) The genetics of diabetic complications. Nat. Rev. Nephrol. 11, 277-287. <https://doi.org/10.1038/nrneph.2015.37>
4. Ahluwalia, T. S., Schulz, C.-A., Waage, J., Skaaby, T., Sandholm, N., van Zuydam, N., Charmet, R., Bork-Jensen, J., Almgren, P., Thuesen, B. H., Bedin, M., Brandslund, I., Christensen, C. K., Linneberg, A., Ahlqvist, E., Groop, P.-H., Hadjadj, S., Tregouet, D.-A., Jřrgensen, M. E., Grarup, N., Pedersen, O., Simons, M., Groop, L., Orho-Melander, M., McCarthy, M. I., Melander, O., Rossing, P., Kilpeläinen, T. O., Hansen T. (2019) A novel rare CUBN variant and three additional genes identified in Europeans with and without diabetes: results from an exome-wide association study of albuminuria. Diabetologia 62, 292-305. <https://doi.org/10.1007/s00125-018-4783-z>
5. Albert, C., Kube, J., Albert, A., Schanze, D., Zenker, M., Mertens, P. R. (2019) Cubilin single nucleotide polymorphism variants are associated with macroangiopathy while a matrix metalloproteinase-9 single nucleotide polymorphism flip-flop may indicate susceptibility of diabetic nephropathy in type-2 diabetic patients. Nephron 141, 156-165. <https://doi.org/10.1159/000494391>
6. Ali, O. (2013) Genetics of type 2 diabetes. World J. Diabetes 4, 114-123. <https://doi.org/10.4239/wjd.v4.i4.114>
7. Amrom, D., Schwartz, S. S. (2022) Maternal metabolic health, lifestyle, and environment – understanding how epigenetics drives future offspring health. Curr. Diabetes Rev. 19, e220422203919.
8. Anders, H.-J., Huber, T. B., Isermann, B., Schiffer, M. (2018) CKD in diabetes: diabetic kidney disease versus nondiabetic kidney disease. Nat. Rev. Nephrol. 14, 361-377. <https://doi.org/10.1038/s41581-018-0001-y>
9. Arar, N. H., Freedman, B. I., Adler, S. G., Iyengar, S. K., Chew, E. Y., Davis, M. D., Satko, S. G., Bowden, D. W., Duggirala, R., Elston, R. C., Guo, X., Hanson, R. L., Igo, R. P., Ipp, E., Kimmel, P. L., Knowler, W. C., Molineros, J., Nelson, R. G., Pahl, M. V., Quade, S. R. E., Rasooly, R. S., Rotter, J. I., Saad, M. F., Scavini, M., Schelling, J. R., Sedor, J. R., Shah, V. O., Zager, P. G., Abboud, H. E., Family Investigation of Nephropathy and Diabetes Research Group (2008) Heritability of the severity of diabetic retinopathy: the FIND-Eye study. Invest. Ophthalmol. Vis. Sci. 49, 3839-3845. <https://doi.org/10.1167/iovs.07-1633>
10. Banting, F. G., Best, C. H., Collip, J. B., Campbell, W. R., Fletcher, A. A. (1922) Pancreatic extracts in the treatment of diabetes mellitus. Can. Med. Assoc. J. 12, 141-146.
11. Barrera-Chimal, J., Jaisser, F. (2020) Pathophysiologic mechanisms in diabetic kidney disease: a focus on current and future therapeutic targets. Diabetes Obes. Metab. 22, 16-31. <https://doi.org/10.1111/dom.13969>
12. Bochenski, J., Placha, G., Wanic, K., Malecki, M., Sieradzki, J., Warram, J. H., Krolewski, A. S. (2006) New polymorphism of ENPP1 (PC-1) is associated with increased risk of type 2 diabetes among obese individuals. Diabetes 55, 2626-2630. <https://doi.org/10.2337/db06-0191>
13. Bregar, D., Cilensek, I., Mankoc, S., Reschner, A., Petrovic, D., Globocnik Petrovic, M. (2017) The joint effect of the endothelin receptor B gene (EDNRB) polymorphism rs10507875 and nitric oxide synthase 3 gene (NOS3) polymorphism rs869109213 in Slovenian patients with type 2 diabetes mellitus and diabetic retinopathy. Bosn. J. Basic Med. Sci. 18, 80-86. <https://doi.org/10.17305/bjbms.2017.2244>
14. Brownlee, M. (2005) The pathobiology of diabetic complications: a unifying mechanism. Diabetes 54, 1615-1625. <https://doi.org/10.2337/diabetes.54.6.1615>
15. Buraczynska, M., Buraczynska, K., Dragan, M., Ksiazek, A. (2017) Pro198Leu polymorphism in the glutathione peroxidase 1 gene contributes to diabetic peripheral neuropathy in type 2 diabetes patients. Neuromolecular Med. 19, 147-153. <https://doi.org/10.1007/s12017-016-8438-2>
16. Buraczynska, M., Ksiazek, P., Wacinski, P., Zukowski, P., Dragan, M., Bednarek-Skublewska, A. (2010) Complement receptor 1 gene polymorphism and cardiovascular disease in dialyzed end-stage renal disease patients. Hum. Immunol. 71, 878-882. <https://doi.org/10.1016/j.humimm.2010.06.001>
17. Buraczynska, M., Zukowski, P., Drop, B., Baranowicz-Gaszczyk, I., Ksiazek, A. (2016) Effect of G(-174)C polymorphism in interleukin-6 gene on cardiovascular disease in type 2 diabetes patients. Cytokine 79, 7-11. <https://doi.org/10.1016/j.cyto.2015.12.004>
18. Cañadas-Garre, M., Anderson, K., Cappa, R., Skelly, R., Smyth, L. J., McKnight, A. J., Maxwell, A. P. (2019) Genetic susceptibility to chronic kidney disease – some more pieces for the heritability puzzle. Front. Genet. 10, 453. <https://doi.org/10.3389/fgene.2019.00453>
19. Casanova, F., Tyrrell, J., Beaumont, R. N., Ji, Y., Jones, S. E., Hattersley, A. T., Weedon, M. N., Murray, A., Shore, A. C., Frayling, T. M., Wood, A. R. (2019) A genome-wide association study implicates multiple mechanisms influencing raised urinary albumin-creatinine ratio. Hum. Mol. Genet. 28, 4197-4207. <https://doi.org/10.1093/hmg/ddz243>
20. Cejkov, P., Novota, P., Cerna, M., Kolostova, K., Novakova, D., Kucera, P., Novak, J., Andel, M., Weber, P., Zdarsky, E. (2007) KCNJ11 E23K polymorphism and diabetes mellitus with adult onset in Czech patients. Folia Biol. (Praha) 53, 173-175.
21. Cho, H., Sobrin, L. (2014) Genetics of diabetic retinopathy. Curr. Diab. Rep. 14, 515. <https://doi.org/10.1007/s11892-014-0515-z>
22. Christiansen, J., Kolte, A. M., Hansen, T. V. O., Nielsen, F. C. (2009) IGF2 mRNA-binding protein 2: biological function and putative role in type 2 diabetes. J. Mol. Endocrinol. 43, 187-195. <https://doi.org/10.1677/JME-09-0016>
23. Cilensek, I., Lapuh, V., Globocnik Petrovic, M., Petrovic, D. (2021) HDAC9 rs11984041 polymorphism is associated with diabetic retinopathy in Slovenian patients with type 2 diabetes mellitus. Gene 5, 796-797.
24. Cilensek, I., Mankoc, S., Petrovic, M. G., Petrovic, D. (2012) The 4a/4a genotype of the VNTR polymorphism for endothelial nitric oxide synthase (eNOS) gene predicts risk for proliferative diabetic retinopathy in Slovenian patients (Caucasians) with type 2 diabetes mellitus. Mol. Biol. Rep. 39, 7061-7067. <https://doi.org/10.1007/s11033-012-1537-8>
25. Cilensek, I., Seruga, M., Makuc, J., Zavrsnik, M., Petrovic, D. (2020) The ALOXA5AP gene (rs38022789) is associated with diabetic nephropathy in Slovenian patients with type 2 diabetes mellitus. Gene 30, 741.
26. Conway, B. R., Maxwell, A. P. (2009) Genetics of diabetic nephropathy: are there clues to the understanding of common kidney diseases? Nephron Clin. Pract. 112, 213-221. <https://doi.org/10.1159/000224787>
27. Crowley, S. D., Coffman, T. M. (2012) Recent advances involving the renin-angiotensin system. Exp. Cell Res. 318, 1049-1056. <https://doi.org/10.1016/j.yexcr.2012.02.023>
28. Demova, H., Boleckova, J., Rose, D., Koeppel, H., Prochazka, B., Brunerova, L., Rychlik, I., Cerna, M. (2012) Gene polymorphisms in patients with type 2 diabetes and diabetic nephropathy. Cent. Eur. J. Biol. 7, 210-218.
29. Deshpande, A. D., Harris-Hayes, M., Schootman, M. (2008) Epidemiology of diabetes and diabetes-related complications. Phys. Ther. 88, 1254-1264. <https://doi.org/10.2522/ptj.20080020>
30. Ding, Y., Choi, M. E. (2015) Autophagy in diabetic nephropathy. J. Endocrinol. 224, 15-30. <https://doi.org/10.1530/JOE-14-0437>
31. Dlouha, L., Pelikanova, T., Veleba, J., Adamkova, V., Lanska, V., Sosna, T., Pacal, L., Kankova, K., Hubacek, J. A. (2021) The APOE4 allele is associated with a decreased risk of retinopathy in type 2 diabetics. Mol. Biol. Rep. 48, 5873-5879. <https://doi.org/10.1007/s11033-021-06581-w>
32. Drexel, H., Leiherer, A., Saely, C. H., Brandtner, E. M., Geiger, K., Vonbank, A., Fraunberger, P., Muendlein, A. (2019) Are SGLT2 polymorphisms linked to diabetes mellitus and cardiovascular disease? Prospective study and meta-analysis. Biosci. Rep. 39, BSR20190299. <https://doi.org/10.1042/BSR20190299>
33. Elek, Z., Németh, N., Nagy, G., Németh, H., Somogyi, A., Hosszufalusi, N., Sasvári-Székely, M., Rónai, Z. (2015) Micro-RNA binding site polymorphisms in the WFS1 gene are risk factors of diabetes mellitus. PLoS One 10, e0139519. <https://doi.org/10.1371/journal.pone.0139519>
34. Feldman, E. L., Callaghan, B. C., Pop-Busui, R., Zochodne, D. W., Wright, D. E., Bennett, D. L., Bril, V., Russell, J. W., Viswanathan, V. (2019) Diabetic neuropathy. Nat. Rev. Dis. Primers 5, 41. <https://doi.org/10.1038/s41572-019-0092-1>
35. Forrest, I. S., Chaudhary, K., Paranjpe, I., Vy, H. M. T., Marquez-Luna, C., Rocheleau, G., Saha, A., Chan, L., Van Vleck, T., Loos, R. J. F., Cho, J., Pasquale, L. R., Nadkarni, G. N., Do R. (2021) Genome-wide polygenic risk score for retinopathy of type 2 diabetes. Hum. Mol. Genet. 30, 952-960. <https://doi.org/10.1093/hmg/ddab067>
36. Frayling, T. M., Timpson, N. J., Weedon, M. N., Zeggini, E., Freathy, R. M., Lindgren, C. M., Perry, J. R. B., Elliott, K. S., Lango, H., Rayner, N. W., Shields, B., Harries, L. W., Barrett, J. C., Ellard, S., Groves, C. J., Knight, B., Patch, A.-M., Ness, A. R., Ebrahim, S., Lawlor, D. A., Ring, S. M., Ben-Shlomo, Y., Jarvelin, M.-R., Sovio, U., Bennett, A. J., Melzer, D., Ferrucci, L., Loos, R. J. F., Barroso, I., Wareham, N. J., Karpe, F., Owen, K. R., Cardon, L. R., Walker, M., Hitman, G. A., Palmer, C. N. A., Doney, A. S. F., Morris, A. D., Smith, G. D., Hattersley, A. T., McCarthy, M. I. (2007) A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 316, 889-894. <https://doi.org/10.1126/science.1141634>
37. Frazer, K. A., Ballinger, D. G., Cox, D. R., Hinds, D. A., Stuve, L. L., Gibbs, R. A., Belmont, J. W., Boudreau, A., Hardenbol, P., Leal, S. M., Pasternak, S., Wheeler, D. A., Willis, T. D., Yu, F., Yang, H., Zeng, C., Gao, Y., Hu, H., Hu, W., Li, C., Lin, W., Liu, S., Pan, H., Tang, X., Wang, J., Wang, W., Yu, J., Zhang, B., Zhang, Q., Zhao, H., Zhao, H., Zhou, J., Gabriel, S. B., Barry, R., Blumenstiel, B., Camargo, A., Defelice, M., Faggart, M., Goyette, M., Gupta, S., Moore, J., Nguyen, H., Onofrio, R. C., Parkin, M., Roy, J., Stahl, E., Winchester, E., Ziaugra, L., Altshuler, D., Shen, Y., Yao, Z., Huang, W., Chu, X., He, Y., Jin, L., Liu, Y., Shen, Y., Sun, W., Wang, H., Wang, Y., Wang, Y., Xiong, X., Xu, L., Waye, M. M. Y., Tsui, S. K. W., Xue, H., Wong, J. T.-F., Galver, L. M., Fan, J.-B., Gunderson, K., Murray, S. S., Oliphant, A. R., Chee, M. S., Montpetit, A., Chagnon, F., Ferretti, V., Leboeuf, M., Olivier, J.-F., Phillips, M. S., Roumy, S., Sallée, C., Verner, A., Hudson, T. J., Kwok, P.-Y., Cai, D., Koboldt, D. C., Miller, R. D., Pawlikowska, L., Taillon-Miller, P., Xiao, M., Tsui, L.-C., Mak, W., Qiang Song, Y., Tam, P. K. H., Nakamura, Y., Kawaguchi, T., Kitamoto, T., Morizono, T., Nagashima, A., Ohnishi, Y., Sekine, A., Tanaka, T., Tsunoda, T., Deloukas, P., Bird, C. P., Delgado, M., Dermitzakis, E. T., Gwilliam, R., Hunt, S., Morrison, J., Powell, D., Stranger, B. E., Whittaker, P., Bentley, D. R., Daly, M. J., de Bakker, P. I. W., Barrett, J., Chretien, Y. R., Maller, J., McCarroll, S., Patterson, N., Pe’er, I., Price, A., Purcell, S., Richter, D. J., Sabeti, P., Saxena, R., Schaffner, S. F., Sham, P. C., Varilly, P., Altshuler, D., Stein, L. D., Krishnan, L., Vernon Smith, A., Tello-Ruiz, M. K., Thorisson, G. A., Chakravarti, A., Chen, P. E., Cutler, D. J., Kashuk, C. S., Lin, S., Abecasis, G. R., Guan, W., Li, Y., Munro, H. M., Steve, Qin Z., Thomas, D. J., McVean, G., Auton, A., Bottolo, L., Cardin, N., Eyheramendy, S., Freeman, C., Marchini, J., Myers, S., Spencer, C., Stephens, M., Donnelly, P., Cardon, L. R., Clarke, G., Evans, D. M., Morris, A. P., Weir, B. S., Tsunoda, T., Johnson, T., Mullikin, J. C., Sherry, S. T., Feolo, M., Skol, A., Zhang, H., Zeng, C., Zhao, H., Matsuda, I., Fukushima, Y., Macer, D. R., Suda, E., Rotimi, C. N., Adebamowo, C. A., Ajayi, I., Aniagwu, T., Marshall, P. A., Nkwodimmah, C., Royal, C. D. M., Leppert, M. F., Dixon, M., Peiffer, A., Qiu, R., Kent, A., Kato, K., Niikawa, N., Adewole, I. F., Knoppers, B. M., Foster, M. W., Wright Clayton, E., Watkin, J., Gibbs, R. A., Belmont, J. W., Muzny, D., Nazareth, L., Sodergren, E., Weinstock, G. M., Wheeler, D. A., Yakub, I., Gabriel, S. B., Onofrio, R. C., Richter, D. J., Ziaugra, L., Birren, B. W., Daly, M. J., Altshuler, D., Wilson, R. K., Fulton, L. L., Rogers, J., Burton, J., Carter, N. P., Clee, C. M., Griffiths, M., Jones, M. C., McLay, K., Plumb, R. W., Ross, M. T., Sims, S. K., Willey, D. L., Chen, Z., Han, H., Kang, L., Godbout, M., Wallenburg, J. C., L’Archevęque, P., Bellemare, G., Saeki, K., Wang, H., An, D., Fu, H., Li, Q., Wang, Z., Wang, R., Holden, A. L., Brooks, L. D., McEwen, J. E., Guyer, M. S., Wang V. O., Peterson, J. L., Shi, M., Spiegel, J., Sung, L. M., Zacharia, L. F., Collins, F. S., Kennedy, K., Jamieson, R., Stewart, J. (2007) A second generation human haplotype map of over 3.1 million SNPs. Nature 449, 851-861.
38. Fuchsberger, C., Flannick, J., Teslovich, T. M., Mahajan, A., Agarwala, V., Gaulton, K. J., Ma, C., Fontanillas, P., Moutsianas, L., McCarthy, D. J., Rivas, M. A., Perry, J. R. B., Sim, X., Blackwell, T. W., Robertson, N. R., Rayner, N. W., Cingolani, P., Locke, A. E., Tajes, J. F., Highland, H. M., Dupuis, J., Chines, P. S., Lindgren, C. M., Hartl, C., Jackson, A. U., Chen, H., Huyghe, J. R., van de Bunt, M., Pearson, R. D., Kumar, A., Müller-Nurasyid, M., Grarup, N., Stringham, H. M., Gamazon, E. R., Lee, J., Chen, Y., Scott, R. A., Below, J. E., Chen, P., Huang, J., Go, M. J., Stitzel, M. L., Pasko, D., Parker, S. C. J., Varga, T. V., Green, T., Beer, N. L., Day-Williams, A. G., Ferreira, T., Fingerlin, T., Horikoshi, M., Hu, C., Huh, I., Ikram, M. K., Kim, B.-J., Kim, Y., Kim, Y. J., Kwon, M.-S., Lee, J., Lee, S., Lin, K.-H., Maxwell, T. J., Nagai, Y., Wang, X., Welch, R. P., Yoon, J., Zhang, W., Barzilai, N., Voight, B. F., Han, B.-G., Jenkinson, C. P., Kuulasmaa, T., Kuusisto, J., Manning, A., Ng, M. C. Y., Palmer, N. D., Balkau, B., Stančáková, A., Abboud, H. E., Boeing, H., Giedraitis, V., Prabhakaran, D., Gottesman, O., Scott, J., Carey, J., Kwan, P., Grant, G., Smith, J. D., Neale, B. M., Purcell, S., Butterworth, A. S., Howson, J. M. M., Lee, H. M., Lu, Y., Kwak, S.-H., Zhao, W., Danesh, J., Lam, V. K. L., Park, K. S., Saleheen, D., So, W. Y., Tam, C. H. T., Afzal, U., Aguilar, D., Arya, R., Aung, T., Chan, E., Navarro, C., Cheng, C.-Y., Palli, D., Correa, A., Curran, J. E., Rybin, D., Farook, V. S., Fowler, S. P., Freedman, B. I., Griswold, M., Hale, D. E., Hicks, P. J., Khor, C.-C., Kumar, S., Lehne, B., Thuillier, D., Lim, W. Y., Liu, J., van der Schouw, Y. T., Loh, M., Musani, S. K., Puppala, S., Scott, W. R., Yengo, L., Tan, S.-T., Taylor, H. A., Thameem, F., Wilson, G., Wong, T. Y., Njřlstad, P. R., Levy, J. C., Mangino, M., Bonnycastle, L. L., Schwarzmayr, T., Fadista, J., Surdulescu, G. L., Herder, C., Groves, C. J., Wieland, T., Bork-Jensen, J., Brandslund, I., Christensen, C., Koistinen, H. A., Doney, A. S. F., Kinnunen, L., Esko, T., Farmer, A. J., Hakaste, L., Hodgkiss, D., Kravic, J., Lyssenko, V., Hollensted, M., Jřrgensen, M. E., Jřrgensen, T., Ladenvall, C., Justesen, J. M., Käräjämäki, A., Kriebel, J., Rathmann, W., Lannfelt, L., Lauritzen, T., Narisu, N., Linneberg, A., Melander, O., Milani, L., Neville, M., Orho-Melander, M., Qi, L., Qi, Q., Roden, M., Rolandsson, O., Swift, A., Rosengren, A. H., Stirrups, K., Wood, A. R., Mihailov, E., Blancher, C., Carneiro, M. O., Maguire, J., Poplin, R., Shakir, K., Fennell, T., DePristo, M., Angelis, M. H. de, Deloukas, P., Gjesing, A. P., Jun, G., Nilsson, P., Murphy, J., Onofrio, R., Thorand, B., Hansen, T., Meisinger, C., Hu, F. B., Isomaa, B., Karpe, F., Liang, L., Peters, A., Huth, C., O’Rahilly, S. P., Palmer, C. N. A., Pedersen, O., Rauramaa, R., Tuomilehto, J., Salomaa, V., Watanabe, R. M., Syvänen, A.-C., Bergman, R. N., Bharadwaj, D., Bottinger, E. P., Cho, Y. S., Chandak, G. R., Chan, J. C. N., Chia, K. S., Daly, M. J., Ebrahim, S. B., Langenberg, C., Elliott, P., Jablonski, K. A., Lehman, D. M., Jia, W., Ma, R. C. W., Pollin, T. I., Sandhu, M., Tandon, N., Froguel, P., Barroso, I., Teo, Y. Y., Zeggini, E., Loos, R. J. F., Small, K. S., Ried, J. S., DeFronzo, R. A., Grallert, H., Glaser, B., Metspalu, A., Wareham, N. J., Walker, M., Banks, E., Gieger, C., Ingelsson, E., Im, H. K., Illig, T., Franks, P. W., Buck, G., Trakalo, J., Buck, D., Prokopenko, I., Mägi, R., Lind, L., Farjoun, Y., Owen, K. R., Gloyn, A. L., Strauch, K., Tuomi, T., Kooner, J. S., Lee, J.-Y., Park, T., Donnelly, P., Morris, A. D., Hattersley, A. T., Bowden, D. W., Collins, F. S., Atzmon, G., Chambers, J. C., Spector, T. D., Laakso, M., Strom, T. M., Bell, G. I., Blangero, J., Duggirala, R., Tai, E. S., McVean, G., Hanis, C. L., Wilson, J. G., Seielstad, M., Frayling, T. M., Meigs, J. B., Cox, N. J., Sladek, R., Lander, E. S., Gabriel, S., Burtt, N. P., Mohlke, K. L., Meitinger, T., Groop, L., Abecasis, G., Florez, J. C., Scott, L. J., Morris, A. P., Kang, H. M., Boehnke, M., Altshuler, D., McCarthy, M. I. (2016) The genetic architecture of type 2 diabetes. Nature 536, 41-47. <https://doi.org/10.1038/nature18642>
39. Gaulton, K. J., Willer, C. J., Li, Y., Scott, L. J., Conneely, K. N., Jackson, A. U., Duren, W. L., Chines, P. S., Narisu, N., Bonnycastle, L. L., Luo, J., Tong, M., Sprau, A. G., Pugh, E. W., Doheny, K. F., Valle, T. T., Abecasis, G. R., Tuomilehto, J., Bergman, R. N., Collins, F. S., Boehnke, M., Mohlke, K. L. (2008) Comprehensive association study of type 2 diabetes and related quantitative traits with 222 candidate genes. Diabetes 57, 3136-3144. <https://doi.org/10.2337/db07-1731>
40. Groener, J. B., Reismann, P., Fleming, T., Kalscheuer, H., Lehnhoff, D., Hamann, A., Roser, P., Bierhaus, A., Nawroth, P. P., Rudofsky, G. (2013) C332C genotype of glyoxalase 1 and its association with late diabetic complications. Exp. Clin. Endocrinol. Diabetes 121, 436-439.
41. Gu, H. F. (2019) Genetic and epigenetic studies in diabetic kidney disease. Front. Genet. 10, 507. <https://doi.org/10.3389/fgene.2019.00507>
42. Gu, T., Horova, E., Mollsten, A., Seman, N. A., Falhammar, H., Prazny, M., Brismar, K., Gu, H. F. (2012) IGF2BP2 and IGF2 genetic effects in diabetes and diabetic nephropathy. J. Diabetes Complications 26, 393-398. <https://doi.org/10.1016/j.jdiacomp.2012.05.012>
43. Han, J., Lando, L., Skowronska-Krawczyk, D., Chao, D. L. (2019) Genetics of diabetic retinopathy. Curr. Diab. Rep. 19, 67. <https://doi.org/10.1007/s11892-019-1186-6>
44. Henning, R. J. (2018) Type-2 diabetes mellitus and cardiovascular disease. Future Cardiol. 14, 491-509. <https://doi.org/10.2217/fca-2018-0045>
45. Herder, C., Karakas, M., Koenig, W. (2011) Biomarkers for the prediction of type 2 diabetes and cardiovascular disease. Clin. Pharmacol. Ther. 90, 52-66. <https://doi.org/10.1038/clpt.2011.93>
46. Herrmann, S.-M., Ringel, J., Wang, J.-G., Staessen, J. A., Brand, E., Berlin Diabetes Mellitus (BeDiaM) Study (2002) Peroxisome proliferator-activated receptor-γ2 polymorphism Pro12Ala is associated with nephropathy in type 2 diabetes: the Berlin Diabetes Mellitus (BeDiaM) Study. Diabetes 51, 2653-2657. <https://doi.org/10.2337/diabetes.51.8.2653>
47. Himsworth, H. P. (1940) Insulin deficiency and insulin inefficiency. Br. Med. J. 1, 719-722. <https://doi.org/10.1136/bmj.1.4139.719>
48. Hubacek, J. A., Dlouha, D., Klementova, M., Lanska, V., Neskudla, T., Pelikanova, T. (2018) The FTO variant is associated with chronic complications of diabetes mellitus in Czech population. Gene 642, 220-224. <https://doi.org/10.1016/j.gene.2017.11.040>
49. Hubacek, J. A., Dlouha, L., Adamkova, V., Dlouha, D., Pacal, L., Kankova, K., Galuska, D., Lanska, V., Veleba, J., Pelikanova, T. (2023) Genetic risk score is associated with T2DM and diabetes complications risks. Gene 849, 146921. <https://doi.org/10.1016/j.gene.2022.146921>
50. Hubacek, J. A., Neskudla, T., Klementova, M., Adámkova, V., Pelikanova, T. (2013) Tagging rs10811661 variant at CDKN2A/2B locus is not associated with type 2 diabetes mellitus in Czech population. Folia Biol. (Praha) 59, 168-171.
51. Hubacek, J. A., Sedova, L., Olisarova, V., Adamkova, V., Tothova, V. (2020) Different prevalence of T2DM risk alleles in Roma population in comparison with the majority Czech population. Mol. Genet. Genomic Med. 8, e1361. <https://doi.org/10.1002/mgg3.1361>
52. Igo, R. P., Kinzy, T. G., Cooke Bailey, J. N. (2019) Genetic risk scores. Curr. Protoc. Hum. Genet. 104, e95.
53. Iles, M. M. (2008) What can genome-wide association studies tell us about the genetics of common disease? PLoS Genet. 4, e33. <https://doi.org/10.1371/journal.pgen.0040033>
54. Javorsky, M., Klimcakova, L., Schroner, Z., Zidzik, J., Babjakova, E., Fabianova, M., Kozarova, M., Tkacova, R., Salagovic, J., Tkac, I. (2012) KCNJ11 gene E23K variant and therapeutic response to sulfonylureas. Eur. J. Intern. Med. 23, 245-249. <https://doi.org/10.1016/j.ejim.2011.10.018>
55. Jermendy, A., Körner, A., Kovacs, M., Madacsy, L., Cseh, K. (2011) PPAR-γ2 pro12Ala polymorphism is associated with post-challenge abnormalities of glucose homeostasis in children and adolescents with obesity. J. Pediatr. Endocrinol. Metab. 24, 55-59. <https://doi.org/10.1515/jpem.2011.111>
56. Jia, H., Yu, L., Jiang, Z., Ji, Q. (2011) Association between IGF2BP2 rs4402960 polymorphism and risk of type 2 diabetes mellitus: a meta-analysis. Arch. Med. Res. 42, 361-367. <https://doi.org/10.1016/j.arcmed.2011.08.001>
57. Kang, E. S., Kim, M. S., Kim, Y. S., Hur, K. Y., Han, S. J., Nam, C. M., Ahn, C. W., Cha, B. S., Kim, S. I., Lee, H. C. (2008) A variant of the transcription factor 7-like 2 (TCF7L2) gene and the risk of posttransplantation diabetes mellitus in renal allograft recipients. Diabetes Care 31, 63-68. <https://doi.org/10.2337/dc07-1005>
58. Kaprio, J., Tuomilehto, J., Koskenvuo, M., Romanov, K., Reunanen, A., Eriksson, J., Stengĺrd, J., Kesäniemi, Y. A. (1992) Concordance for type 1 (insulin-dependent) and type 2 (non-insulin-dependent) diabetes mellitus in a population-based cohort of twins in Finland. Diabetologia 35, 1060-1067. <https://doi.org/10.1007/BF02221682>
59. Karamanou, M., Protogerou, A., Tsoucalas, G., Androutsos, G., Poulakou-Rebelakou, E. (2016) Milestones in the history of diabetes mellitus: the main contributors. World J. Diabetes 7, 1-7. <https://doi.org/10.4239/wjd.v7.i1.1>
60. Kariz, S., Mankoc, S., Petrovic, D. (2015) Association of thioredoxin reductase 2 (TXNRD2) gene polymorphisms with myocardial infarction in Slovene patients with type 2 diabetes mellitus. Diabetes Res. Clin. Pract. 108, 323-328. <https://doi.org/10.1016/j.diabres.2015.01.038>
61. Keaton, J. M., Cooke Bailey, J. N., Palmer, N. D., Freedman, B. I., Langefeld, C. D., Ng, M. C. Y., Bowden, D. W. (2014) A comparison of type 2 diabetes risk allele load between African Americans and European Americans. Hum. Genet. 133, 1487-1495. <https://doi.org/10.1007/s00439-014-1486-5>
62. Kirchhoff, K., Machicao, F., Haupt, A., Schäfer, S. A., Tschritter, O., Staiger, H., Stefan, N., Häring, H.-U., Fritsche, A. (2008) Polymorphisms in the TCF7L2, CDKAL1 and SLC30A8 genes are associated with impaired proinsulin conversion. Diabetologia 51, 597-601. <https://doi.org/10.1007/s00125-008-0926-y>
63. Klen, J., Goricar, K., Janez, A., Dolzan, V. (2015) Common polymorphisms in antioxidant genes are associated with diabetic nephropathy in type 2 diabetes patients. Per. Med. 12, 187-198. <https://doi.org/10.2217/pme.14.86>
64. Kozarova, M., Javorsky, M., Stancakova, A., Dobrikova, M., Habalova, V., Klimcakova, L., Zidzik, J., Haluskova, J., Salagovic, J., Tkac, I. (2010) Relationship of five type 2 diabetes candidate gene polymorphisms to the age at diagnosis of diabetes in the Slovakian population. Bratisl. Lek. Listy 111, 150-152.
65. Kruzliak, P., Haley, A. P., Starcevic, J. N., Gaspar, L., Petrovic, D. (2015) Polymorphisms of the peroxisome proliferator-activated receptor-γ (rs1801282) and its coactivator-1 (rs8192673) are associated with obesity indexes in subjects with type 2 diabetes mellitus. Cardiovasc. Diabetol. 14, 42. <https://doi.org/10.1186/s12933-015-0197-0>
66. Kunej, T., Globocnik Petrovic, M., Dovc, P., Peterlin, B., Petrovic, D. (2004) A Gly482Ser polymorphism of the peroxisome proliferator-activated receptor-γ coactivator-1 (PGC-1) gene is associated with type 2 diabetes in Caucasians. Folia Biol. (Praha) 50, 157-158.
67. Kuricova, K., Tanhaeuserova, V., Bartakova, V., Pacal, L., Svojanovsky, J., Krusova, D., Olsovsky, J., Belobradkova, J., Rehorova, J., Kankova, K. (2012) Genetic variability in the RAGE gene and sRAGE levels do not predict progression of diabetic nephropathy and diabetes-related morbidity and mortality. Diabetologia 55, 69.
68. Kuricova, K., Tanhaeuserova, V., Pacal, L., Bartakova, V., Brozova, L., Jarkovsky, J., Kankova, K. (2013) NOS3 894G > T polymorphism is associated with progression of kidney disease and cardiovascular morbidity in type 2 diabetic patients: NOS3 as a modifier gene for diabetic nephropathy? Kidney Blood Press. Res. 38, 92-98. <https://doi.org/10.1159/000355757>
69. Langerhans, P., Morrison, H. (1937) Contributions to the microscopic anatomy of the pancreas. Bulletin of the Institute of the History of Medicine 5, 259-297.
70. Leslie, R. D., Pyke, D. A. (1982) Diabetic retinopathy in identical twins. Diabetes 31, 19-21. <https://doi.org/10.2337/diab.31.1.19>
71. Letonja, J., Završnik, M., Makuc, J., Seruga, M., Peterlin, A., Cilensek, I., Petrovic, D. (2021) Sirtuin 1 rs7069102 polymorphism is associated with diabetic nephropathy in patients with type 2 diabetes mellitus. Bosn. J. Basic Med. Sci. 21, 642-646.
72. Liu, L., Zheng, T., Wang, F., Wang, N., Song, Y., Li, M., Li, L., Jiang, J., Zhao, W. (2010) Pro12Ala polymorphism in the PPARG gene contributes to the development of diabetic nephropathy in Chinese type 2 diabetic patients. Diabetes Care 33, 144-149. <https://doi.org/10.2337/dc09-1258>
73. Look AHEAD Research Group (2015) Prospective association of a genetic risk score and lifestyle intervention with cardiovascular morbidity and mortality among individuals with type 2 diabetes: the Look AHEAD randomised controlled trial. Diabetologia 58, 1803-1813.
74. Lukacs, K., Hosszufalusi, N., Dinya, E., Bakacs, M., Madacsy, L., Panczel, P. (2012) 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. Diabetologia 55, 689-693. <https://doi.org/10.1007/s00125-011-2378-z>
75. Lukasova, P., Vcelak, J., Vankova, M., Vejrazkova, D., Andelova, K., Bendlova, B. (2008) Screening of mutations and polymorphisms in the glucokinase gene in Czech diabetic and healthy control populations. Physiol. Res. 57 (Suppl. 1), 99-108. <https://doi.org/10.33549/physiolres.931494>
76. Lyssenko, V., Jonsson, A., Almgren, P., Pulizzi, N., Isomaa, B., Tuomi, T., Berglund, G., Altshuler, D., Nilsson, P., Groop, L. (2008) Clinical risk factors, DNA variants, and the development of type 2 diabetes. N. Engl. J. Med. 359, 2220-2232. <https://doi.org/10.1056/NEJMoa0801869>
77. Lyssenko, V., Lupi, R., Marchetti, P., Del Guerra, S., Orho-Melander, M., Almgren, P., Sjögren, M., Ling, C., Eriksson, K.-F., Lethagen, A.-L., Mancarella, R., Berglund, G., Tuomi, T., Nilsson, P., Del Prato, S., Groop, L. (2007) Mechanisms by which common variants in the TCF7L2 gene increase risk of type 2 diabetes. J. Clin. Invest. 117, 2155-2163. <https://doi.org/10.1172/JCI30706>
78. Ma, J., Yang, Q., Hwang, S.-J., Fox, C. S., Chu, A. Y. (2017) Genetic risk score and risk of stage 3 chronic kidney disease. BMC Nephrol. 18, 32. <https://doi.org/10.1186/s12882-017-0439-3>
79. Ma, R. C. (2016) Genetics of cardiovascular and renal complications in diabetes. J. Diabetes Investig. 7, 139-154. <https://doi.org/10.1111/jdi.12391>
80. Maeda, S., Araki, S.-I., Babazono, T., Toyoda, M., Umezono, T., Kawai, K., Imanishi, M., Uzu, T., Watada, H., Suzuki, D., Kashiwagi, A., Iwamoto, Y., Kaku, K., Kawamori, R., Nakamura, Y. (2010) Replication study for the association between four loci identified by a genome-wide association study on European American subjects with type 1 diabetes and susceptibility to diabetic nephropathy in Japanese subjects with type 2 diabetes. Diabetes 59, 2075-2079. <https://doi.org/10.2337/db10-0067>
81. Mahajan, A., Taliun, D., Thurner, M., Robertson, N. R., Torres, J. M., Rayner, N. W., Payne, A. J., Steinthorsdottir, V., Scott, R. A., Grarup, N., Cook, J. P., Schmidt, E. M., Wuttke, M., Sarnowski, C., Mägi, R., Nano, J., Gieger, C., Trompet, S., Lecoeur, C., Preuss, M. H., Prins, B. P., Guo, X., Bielak, L. F., Below, J. E., Bowden, D. W., Chambers, J. C., Kim, Y. J., Ng, M. C. Y., Petty, L. E., Sim, X., Zhang, W., Bennett, A. J., Bork-Jensen, J., Brummett, C. M., Canouil, M., Ec Kardt, K.-U., Fischer, K., Kardia, S. L. R., Kronenberg, F., Läll, K., Liu, C.-T., Locke, A. E., Luan, J., Ntalla, I., Nylander, V., Schönherr, S., Schurmann, C., Yengo, L., Bottinger, E. P., Brandslund, I., Christensen, C., Dedoussis, G., Florez, J. C., Ford, I., Franco, O. H., Frayling, T. M., Giedraitis, V., Hackinger, S., Hattersley, A. T., Herder, C., Ikram, M. A., Ingelsson, M., Jřrgensen, M. E., Jřrgensen, T., Kriebel, J., Kuusisto, J., Ligthart, S., Lindgren, C. M., Linneberg, A., Lyssenko, V., Mamakou, V., Meitinger, T., Mohlke, K. L., Morris, A. D., Nadkarni, G., Pankow, J. S., Peters, A., Sattar, N., Stančáková, A., Strauch, K., Taylor, K. D., Thorand, B., Thorleifsson, G., Thorsteinsdottir, U., Tuomilehto, J., Witte, D. R., Dupuis, J., Peyser, P. A., Zeggini, E., Loos, R. J. F., Froguel, P., Ingelsson, E., Lind, L., Groop, L., Laakso, M., Collins, F. S., Jukema, J. W., Palmer, C. N. A., Grallert, H., Metspalu, A., Dehghan, A., Köttgen, A., Abecasis, G. R., Meigs, J. B., Rotter, J. I., Marchini, J., Pedersen, O., Hansen, T., Langenberg, C., Wareham, N. J., Stefansson, K., Gloyn, A. L., Morris, A. P., Boehnke, M., McCarthy, M. I. (2018) Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat. Genet. 50, 1505-1513. <https://doi.org/10.1038/s41588-018-0241-6>
82. Makuc, J., Seruga, M., Zavrsnik, M., Cilensek, I., Petrovic, D. (2017) Angiotensinogen (AGT) gene missense polymorphisms (rs699 and rs4762) and diabetic nephropathy in Caucasians with type 2 diabetes mellitus. Bosn. J. Basic Med. Sci. 17, 262-267.
83. Manea, S. A., Constantinescu, A., Heltianu, C. (2008) eNOS G894T gene polymorphism is associated with type 2 diabetic neuropathy. Atheroscler. Suppl. 9, 109. <https://doi.org/10.1016/S1567-5688(08)70439-2>
84. Mankoc Ramus, S., Kumse, T., Globocnik Petrovic, M., Petrovic, D., Cilensek, I. (2013) SNP rs2073618 of the osteoprotegerin gene is associated with diabetic retinopathy in Slovenian patients with type 2 diabetes. Biomed. Res. Int. 2013, 1-6. <https://doi.org/10.1155/2013/364073>
85. Mankoc Ramus, S., Pungersek, G., Petrovic, M. G., Petrovic, D. (2021) The GG genotype of erythropoietin rs1617640 polymorphism affects the risk of proliferative diabetic retinopathy in Slovenian subjects with type 2 diabetes mellitus: enemy or ally? Acta Ophthalmol. 99, e1382-e1389. <https://doi.org/10.1111/aos.14813>
86. McKnight, A. J., Duffy, S., Maxwell, A. P. (2015) Genetics of diabetic nephropathy: a long road of discovery. Curr. Diab. Rep. 15, 41. <https://doi.org/10.1007/s11892-015-0610-9>
87. Meigs, J. B., Shrader, P., Sullivan, L. M., McAteer, J. B., Fox, C. S., Dupuis, J., Manning, A. K., Florez, J. C., Wilson, P. W. F., D’Agostino, R. B., Cupples, L. A. (2008) Genotype score in addition to common risk factors for prediction of type 2 diabetes. N. Engl. J. Med. 359, 2208-2219. <https://doi.org/10.1056/NEJMoa0804742>
88. Meng, W., Deshmukh, H. A., Donnelly, L. A., Wellcome Trust Case Control Consortium 2 (WTCCC2), Surrogate markers for Micro- and Macro-vascular hard endpoints for Innovative diabetes Tools (SUMMIT) study group, Torrance, N., Colhoun, H. M., Palmer, C. N. A., Smith, B. H. (2015) A genome-wide association study provides evidence of sex-specific involvement of Chr1p35.1 (ZSCAN20-TLR12P) and Chr8p23.1 (HMGB1P46) with diabetic neuropathic pain. EBioMedicine 2, 1386-1393. <https://doi.org/10.1016/j.ebiom.2015.08.001>
89. Meng, W., Shah, K. P., Pollack, S., Toppila, I., Hebert, H. L., McCarthy, M. I., Groop, L., Ahlqvist, E., Lyssenko, V., Agardh, E., Daniell, M., Kaidonis, G., Craig, J. E., Mitchell, P., Liew, G., Kifley, A., Wang, J. J., Christiansen, M. W., Jensen, R. A., Penman, A., Hancock, H. A., Chen, C. J., Correa, A., Kuo, J. Z., Li, X., Chen, Y. I., Rotter, J. I., Klein, R., Klein, B., Wong, T. Y., Morris, A. D., Doney, A. S. F., Colhoun, H. M., Price, A. L., Burdon, K. P., Groop, P.-H., Sandholm, N., Grassi, M. A., Sobrin, L., Palmer, C. N. A., Wellcome Trust Case Control Consortium 2 (WTCCC2), Surrogate markers for Micro- and Macro-vascular hard endpoints for Innovative diabetes Tools (SUMMIT) study group (2018) A genome-wide association study suggests new evidence for an association of the NADPH Oxidase 4 (NOX4) gene with severe diabetic retinopathy in type 2 diabetes. Acta Ophthalmol. 96, e811-e819. <https://doi.org/10.1111/aos.13769>
90. Meng, W., Veluchamy, A., Hébert, H. L., Campbell, A., Colhoun, H. M., Palmer, C. N. A. (2017) A genome-wide association study suggests that MAPK14 is associated with diabetic foot ulcers. Br. J. Dermatol. 177, 1664-1670. <https://doi.org/10.1111/bjd.15787>
91. Moe, B., Eilertsen, E., Nilsen, T. I. L. (2013) The combined effect of leisure-time physical activity and diabetes on cardiovascular mortality. Diabetes Care 36, 690-695. <https://doi.org/10.2337/dc11-2472>
92. Morris, A. P., Voight, B. F., Teslovich, T. M., Ferreira, T., Segrč, A. V., Steinthorsdottir, V., Strawbridge, R. J., Khan, H., Grallert, H., Mahajan, A., Prokopenko, I., Kang, H. M., Dina, C., Esko, T., Fraser, R. M., Kanoni, S., Kumar, A., Lagou, V., Langenberg, C., Luan, J., Lindgren, C. M., Müller-Nurasyid, M., Pechlivanis, S., Rayner, N. W., Scott, L. J., Wiltshire, S., Yengo, L., Kinnunen, L., Rossin, E. J., Raychaudhuri, S., Johnson, A. D., Dimas, A. S., Loos, R. J. F., Vedantam, S., Chen, H., Florez, J. C., Fox, C., Liu, C.-T., Rybin, D., Couper, D. J., Kao, W. H. L., Li, M., Cornelis, M. C., Kraft, P., Sun, Q., van Dam, R. M., Stringham, H. M., Chines, P. S., Fischer, K., Fontanillas, P., Holmen, O. L., Hunt, S. E., Jackson, A. U., Kong, A., Lawrence, R., Meyer, J., Perry, J. R. B., Platou, C. G. P., Potter, S., Rehnberg, E., Robertson, N., Sivapalaratnam, S., Stancakova, A., Stirrups, K., Thorleifsson, G., Tikkanen, E., Wood, A. R., Almgren, P., Atalay, M., Benediktsson, R., Bonnycastle, L. L., Burtt, N., Carey, J., Charpentier, G., Crenshaw, A. T., Doney, A. S. F., Dorkhan, M., Edkins, S., Emilsson, V., Eury, E., Forsen, T., Gertow, K., Gigante, B., Grant, G. B., Groves, C. J., Guiducci, C., Herder, C., Hreidarsson, A. B., Hui, J., James, A., Jonsson, A., Rathmann, W., Klopp, N., Kravic, J., Krjutškov, K., Langford, C., Leander, K., Lindholm, E., Lobbens, S., Männistö, S., Mirza, G., Mühleisen, T. W., Musk, B., Parkin, M., Rallidis, L., Saramies, J., Sennblad, B., Shah, S., Sigurđsson, G., Silveira, A., Steinbach, G., Thorand, B., Trakalo, J., Veglia, F., Wennauer, R., Winckler, W., Zabaneh, D., Campbell, H., van Duijn, C., Uitterlinden, A. G., Hofman, A., Sijbrands, E., Abecasis, G. R., Owen, K. R., Zeggini, E., Trip, M. D., Forouhi, N. G., Syvänen, A.-C., Eriksson, J. G., Peltonen, L., Nöthen, M. M., Balkau, B., Palmer, C. N. A., Lyssenko, V., Tuomi, T., Isomaa, B., Hunter, D. J., Qi, L., Shuldiner, A. R., Roden, M., Barroso, I., Wilsgaard, T., Beilby, J., Hovingh, K., Price, J. F., Wilson, J. F., Rauramaa, R., Lakka, T. A., Lind, L., Dedoussis, G., Njřlstad, I., Pedersen, N. L., Khaw, K.-T., Wareham, N. J., Keinanen-Kiukaanniemi, S. M., Saaristo, T. E., Korpi-Hyövälti, E., Saltevo, J., Laakso, M., Kuusisto, J., Metspalu, A., Collins, F. S., Mohlke, K. L., Bergman, R. N., Tuomilehto, J., Boehm, B. O., Gieger, C., Hveem, K., Cauchi, S., Froguel, P., Baldassarre, D., Tremoli, E., Humphries, S. E., Saleheen, D., Danesh, J., Ingelsson, E., Ripatti, S., Salomaa, V., Erbel, R., Jöckel, K.-H., Moebus, S., Peters, A., Illig, T., Faire, U. de, Hamsten, A., Morris, A. D., Donnelly, P. J., Frayling, T. M., Hattersley, A. T., Boerwinkle, E., Melander, O., Kathiresan, S., Nilsson, P. M., Deloukas, P., Thorsteinsdottir, U., Groop, L. C., Stefansson, K., Hu, F., Pankow, J. S., Dupuis, J., Meigs, J. B., Altshuler, D., Boehnke, M., McCarthy, M. I., The DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Wellcome Trust Case Control Consortium, Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) Investigators, Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Asian Genetic Epidemiology Network-Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium (2012) Large-scale association ana­lysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nat. Genet. 44, 981-990.
93. Mrozikiewicz-Rakowska, B., Łukawska, M., Nehring, P., Szymański, K., Sobczyk-Kopcioł, A., Krzyżewska, M., Maroszek, P., Płoski, R., Czupryniak, L. (2017) Genetic predictors associated with diabetic retinopathy in diabetic foot patients – a preliminary study. Pol. Arch. Intern. Med. 128, 35-42.
94. Muendlein, A., Saely, C. H., Geller-Rhomberg, S., Sonderegger, G., Rein, P., Winder, T., Beer, S., Vonbank, A., Drexel, H. (2011) Single nucleotide polymorphisms of TCF7L2 are linked to diabetic coronary atherosclerosis. PLoS One 6, e17978. <https://doi.org/10.1371/journal.pone.0017978>
95. Nejatian, N., Häfner, A.-K., Shoghi, F., Badenhoop, K., Penna-Martinez, M. (2019) 5-Lipoxygenase (ALOX5): genetic susceptibility to type 2 diabetes and vitamin D effects on monocytes. J. Steroid. Biochem. Mol. Biol. 187, 52-57. <https://doi.org/10.1016/j.jsbmb.2018.10.022>
96. Nikolajevic-Starcevic, J., Petrovic, D. (2013) The a1/a2 polymorphism of the glycoprotein IIIa gene and myocardial infarction in Caucasians with type 2 diabetes. Mol. Biol. Rep. 40, 2077-2081. <https://doi.org/10.1007/s11033-012-2265-9>
97. Nikolajević-Starcevic, J., Petrovic, M. G., Petrovic, D. (2011) A1/A2 polymorphism of the glycoprotein IIIa gene and diabetic retinopathy in Caucasians with type 2 diabetes. Clin. Exp. Ophthalmol. 39, 665-672. <https://doi.org/10.1111/j.1442-9071.2011.02520.x>
98. O’Seaghdha, C. M., Yang, Q., Wu, H., Hwang, S.-J., Fox, C. S. (2012) Performance of a genetic risk score for CKD stage 3 in the general population. Am. J. Kidney Dis. 59, 19-24. <https://doi.org/10.1053/j.ajkd.2011.08.030>
99. Palmer, N. D., Ng, M. C. Y., Hicks, P. J., Mudgal, P., Langefeld, C. D., Freedman, B. I., Bowden, D. W. (2014) Evaluation of candidate nephropathy susceptibility genes in a genome-wide association study of African American diabetic kidney disease. PLoS One 9, e88273. <https://doi.org/10.1371/journal.pone.0088273>
100. Patel, K., Horak, H., Tiryaki, E. (2021) Diabetic neuropathies. Muscle Nerve 63, 22-30. <https://doi.org/10.1002/mus.27014>
101. Petrovic, M. G., Cilensek, I., Petrovic, D. (2008) Manganese superoxide dismutase gene polymorphism (V16A) is associated with diabetic retinopathy in Slovene (Caucasians) type 2 diabetes patients. Dis. Markers 24, 59-64. <https://doi.org/10.1155/2008/940703>
102. Petrovic, M. G., Kunej, T., Peterlin, B., Dovc, P., Petrovic, D. (2005) Gly482Ser polymorphism of the peroxisome proliferator-activated receptor-γ coactivator-1 gene might be a risk factor for diabetic retinopathy in Slovene population (Caucasians) with type 2 diabetes and the Pro12Ala polymorphism of the PPARγ gene is not. Diabetes Metab. Res. Rev. 21, 470-474. <https://doi.org/10.1002/dmrr.546>
103. Pitchika, A., Markus, M. R. P., Schipf, S., Teumer, A., Van der Auwera, S., Nauck, M., Dörr, M., Felix, S., Jörgen Grabe, H., Völzke, H., Ittermann, T. (2022) Longitudinal association of apolipoprotein E polymorphism with lipid profile, type 2 diabetes and metabolic syndrome: results from a 15 year follow-up study. Diabetes Res. Clin. Pract. 185, 109778. <https://doi.org/10.1016/j.diabres.2022.109778>
104. Polfus, L. M., Darst, B. F., Highland, H., Sheng, X., Ng, M. C. Y., Below, J. E., Petty, L., Bien, S., Sim, X., Wang, W., Fontanillas, P., Patel, Y., Preuss, M., Schurmann, C., Du, Z., Lu, Y., Rhie, S. K., Mercader, J. M., Tusie-Luna, T., González-Villalpando, C., Orozco, L., Spracklen, C. N., Cade, B. E., Jensen, R. A., Sun, M., Joo, Y. Y., An, P., Yanek, L. R., Bielak, L. F., Tajuddin, S., Nicolas, A., Chen, G., Raffield, L., Guo, X., Chen, W.-M., Nadkarni, G. N., Graff, M., Tao, R., Pankow, J. S., Daviglus, M., Qi, Q., Boerwinkle, E. A., Liu, S., Phillips, L. S., Peters, U., Carlson, C., Wikens, L. R., Le Marchand, L., North, K. E., Buyske, S., Kooperberg, C., Loos, R. J. F., Stram, D. O., Haiman, C. A. (2021) Genetic discovery and risk characterization in type 2 diabetes across diverse populations. HGG Adv. 2, 100029.
105. Pollack, S., Igo, R. P., Jensen, R. A., Christiansen, M., Li, X., Cheng, C.-Y., Ng, M. C. Y., Smith, A. V., Rossin, E. J., Segrč, A. V., Davoudi, S., Tan, G. S., Chen, Y.-D. I., Kuo, J. Z., Dimitrov, L. M., Stanwyck, L. K., Meng, W., Hosseini, S. M., Imamura, M., Nousome, D., Kim, J., Hai, Y., Jia, Y., Ahn, J., Leong, A., Shah, K., Park, K. H., Guo, X., Ipp, E., Taylor, K. D., Adler, S. G., Sedor, J. R., Freedman, B. I., Lee, I.-T., Sheu, W. H.-H., Kubo, M., Takahashi, A., Hadjadj, S., Marre, M., Tregouet, D.-A., Mckean-Cowdin, R., Varma, R., McCarthy, M. I., Groop, L., Ahlqvist, E., Lyssenko, V., Agardh, E., Morris, A., Doney, A. S. F., Colhoun, H. M., Toppila, I., Sandholm, N., Groop, P.-H., Maeda, S., Hanis, C. L., Penman, A., Chen, C. J., Hancock, H., Mitchell, P., Craig, J. E., Chew, E. Y., Paterson, A. D., Grassi, M. A., Palmer, C., Bowden, D. W., Yaspan, B. L., Siscovick, D., Cotch, M. F., Wang, J. J., Burdon, K. P., Wong, T. Y., Klein, B. E. K., Klein, R., Rotter, J. I., Iyengar, S. K., Price, A. L., Sobrin, L. (2019) Multiethnic genome-wide association study of diabetic retinopathy using liability threshold modeling of duration of diabetes and glycemic control. Diabetes 68, 441-456. <https://doi.org/10.2337/db18-0567>
106. Qi, L., Qi, Q., Prudente, S., Mendonca, C., Andreozzi, F., di Pietro, N., Sturma, M., Novelli, V., Mannino, G. C., Formoso, G., Gervino, E. V., Hauser, T. H., Muehlschlegel, J. D., Niewczas, M. A., Krolewski, A. S., Biolo, G., Pandolfi, A., Rimm, E., Sesti, G., Trischitta, V., Hu, F., Doria, A. (2013) Association between a genetic variant related to glutamic acid metabolism and coronary heart disease in individuals with type 2 diabetes. JAMA 310, 821-828. <https://doi.org/10.1001/jama.2013.276305>
107. Rose, G. (1985) Sick individuals and sick populations. Int. J. Epidemiol. 14, 32-38. <https://doi.org/10.1093/ije/14.1.32>
108. Said, G. (2007) Diabetic neuropathy – a review. Nat. Clin. Pract. Neurol. 3, 331-340. <https://doi.org/10.1038/ncpneuro0504>
109. Salonen, J. T., Uimari, P., Aalto, J.-M., Pirskanen, M., Kaikkonen, J., Todorova, B., Hyppönen, J., Korhonen, V.-P., Asikainen, J., Devine, C., Tuomainen, T.-P., Luedemann, J., Nauck, M., Kerner, W., Stephens, R. H., New, J. P., Ollier, W. E., Gibson, J. M., Payton, A., Horan, M. A., Pendleton, N., Mahoney, W., Meyre, D., Delplanque, J., Froguel, P., Luzzatto, O., Yakir, B., Darvasi, A. (2007) Type 2 diabetes whole-genome association study in four populations: the DiaGen consortium. Am. J. Hum. Genet. 81, 338-345. <https://doi.org/10.1086/520599>
110. Sanger, F., Thompson, E. O. P. (1953) The amino-acid sequence in the glycyl chain of insulin. II. The investigation of peptides from enzymic hydrolysates. Biochem. J. 53, 366-374. <https://doi.org/10.1042/bj0530366>
111. Sarwar, N., Gao, P., Seshasai, S. R. K., Gobin, R., Kaptoge, S., Di Angelantonio, E., Ingelsson, E., Lawlor, D. A., Selvin, E., Stampfer, M., Stehouwer, C. D. A., Lewington, S., Pennells, L., Thompson, A., Sattar, N., White, I. R., Ray, K. K., Danesh, J. (2010) Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: a collaborative meta-analysis of 102 prospective studies. Lancet 375, 2215-2222.
112. Saxena, R., Voight, B. F., Lyssenko, V., Burtt, N. P., de Bakker, P. I. W., Chen, H., Roix, J. J., Kathiresan, S., Hirschhorn, J. N., Daly, M. J., Hughes, T. E., Groop, L., Altshuler, D., Almgren, P., Florez, J. C., Meyer, J., Ardlie, K., Bengtsson Boström, K., Isomaa, B., Lettre, G., Lindblad, U., Lyon, H. N., Melander, O., Newton-Cheh, C., Nilsson, P., Orho-Melander, M., Rĺstam, L., Speliotes, E. K., Taskinen, M.-R., Tuomi, T., Guiducci, C., Berglund, A., Carlson, J., Gianniny, L., Hackett, R., Hall, L., Holmkvist, J., Laurila, E., Sjögren, M., Sterner, M., Surti, A., Svensson, M., Svensson, M., Tewhey, R., Blumenstiel, B., Parkin, M., Defelice, M., Barry, R., Brodeur, W., Camarata, J., Chia, N., Fava, M., Gibbons, J., Handsaker, B., Healy, C., Nguyen, K., Gates, C., Sougnez, C., Gage, D., Nizzari, M., Gabriel, S. B., Chirn, G.-W., Ma, Q., Parikh, H., Richardson, D., Ricke, D., Purcell, S. (2007) Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science 316, 1331-1336. <https://doi.org/10.1126/science.1142358>
113. Seruga, M., Kariz, S., Makuc, J., Zavrsnik, M., Cilensek, I., Gazdikova, K., Caprnda, M., Kruzliak, P., Petrovic, D. (2017) Endothelin-1 gene polymorphisms rs5370, rs1476046, and rs3087459 are not associated with diabetic nephropathy in Caucasians with type 2 diabetes mellitus. Folia Med. (Plovdiv) 59, 261-269. <https://doi.org/10.1515/folmed-2017-0033>
114. Seruga, M., Makuc, J., Zavrsnik, M., Cilensek, I., Ekart, R., Petrovic, D. (2016) Polymorphism of angiotensin-converting enzyme (rs4340) and diabetic nephropathy in Caucasians with type 2 diabetes mellitus. Balkan. J. Med. Genet. 19, 29-34. <https://doi.org/10.1515/bjmg-2016-0033>
115. Skrha, J. Jr., Muravska, A., Flekac, M., Horova, E., Novak, J., Novotny, A., Prazny, M., Kvasnicka, J., Landová, L., Jachymova, M., Zima, T., Kalousová, M. (2014) Fructosamine 3-kinase and glyoxalase I polymorphisms and their association with soluble RAGE and adhesion molecules in diabetes. Physiol. Res. 63, 283-291. <https://doi.org/10.33549/physiolres.932790>
116. Sramkova, D., Kunesova, M., Hainer, V., Hill, M., Vcelak, J., Bendlova, B. (2002) Is a Pro12Ala polymorphism of the PPARγ2 gene related to obesity and type 2 diabetes mellitus in the Czech population? Ann. N. Y. Acad. Sci. 967, 265-273. <https://doi.org/10.1111/j.1749-6632.2002.tb04282.x>
117. Srinivasan, S., Chen, L., Todd, J., Divers, J., Gidding, S., Chernausek, S., Gubitosi-Klug, R. A., Kelsey, M. M., Shah, R., Black, M. H., Wagenknecht, L. E., Manning, A., Flannick, J., Imperatore, G., Mercader, J. M., Dabelea, D., Florez, J. C., on behalf of the ProDiGY Consortium (2021) The first genome-wide association study for type 2 diabetes in youth: the progress in diabetes genetics in youth (ProDiGY) consortium. Diabetes 70, 996-1005. <https://doi.org/10.2337/db20-0443>
118. Staiger, H., Machicao, F., Stefan, N., Tschritter, O., Thamer, C., Kantartzis, K., Schäfer, S. A., Kirchhoff, K., Fritsche, A., Häring, H.-U. (2007) Polymorphisms within novel risk loci for type 2 diabetes determine β-cell function. PLoS One 2, e832. <https://doi.org/10.1371/journal.pone.0000832>
119. Szczerbiński, Ł., Gościk, J., Bauer, W., Wawrusiewicz-Kurylonek, N., Paczkowska-Abdulsalam, M., Niemira, M., Citko, A., Adamska-Patruno, E., Górska, M., Krętowski, A. (2019) Efficacy of family history, genetic risk score, and physical activity in assessing the prevalence of type 2 diabetes. Pol. Arch. Intern. Med. 129, 442-450.
120. Talmud, P. J., Cooper, J. A., Morris, R. W., Dudbridge, F., Shah, T., Engmann, J., Dale, C., White, J., McLachlan, S., Zabaneh, D., Wong, A., Ong, K. K., Gaunt, T., Holmes, M. V., Lawlor, D. A., Richards, M., Hardy, R., Kuh, D., Wareham, N., Langenberg, C., Ben-Shlomo, Y., Wannamethee, S. G., Strachan, M. W. J., Kumari, M., Whittaker, J. C., Drenos, F., Kivimaki, M., Hingorani, A. D., Price, J. F., Humphries, S. E. (2015) Sixty-five common genetic variants and prediction of type 2 diabetes. Diabetes 64, 1830-1840. <https://doi.org/10.2337/db14-1504>
121. Tanaka, N., Babazono, T. (2005) Assessing genetic susceptibility to diabetic nephropathy. Nephrology (Carlton) 10 (Suppl.), S17-S21. <https://doi.org/10.1111/j.1440-1797.2005.00451.x>
122. Tanhäuserová, V., Kuricova, K., Pacal, L., Bartakova, V., Rehorova, J., Svojanovsky, J., Olsovsky, J., Belobradkova, J., Kankova, K. (2014) Genetic variability in enzymes of metabolic pathways conferring protection against non-enzymatic glycation versus diabetes-related morbidity and mortality. Clin. Chem. Lab. Med. 52, 77-83. <https://doi.org/10.1515/cclm-2012-0833>
123. Thio, C. H. L., van der Most, P. J., Nolte, I. M., van der Harst, P., Bültmann, U., Gansevoort, R. T., Snieder, H. (2018) Evaluation of a genetic risk score based on creatinine-estimated glomerular filtration rate and its association with kidney outcomes. Nephrol. Dial. Transplant. 33, 1757-1764. <https://doi.org/10.1093/ndt/gfx337>
124. Tibaut, M., Naji, F., Petrovic, D. (2022) Association of myocardial infarction with CDKN2B antisense RNA 1 (CDKN2B-AS1) rs1333049 polymorphism in Slovenian subjects with type 2 diabetes mellitus. Genes (Basel) 13, 526. <https://doi.org/10.3390/genes13030526>
125. Tillil, H., Köbberling, J. (1987) Age-corrected empirical genetic risk estimates for first-degree relatives of IDDM patients. Diabetes 36, 93-99. <https://doi.org/10.2337/diab.36.1.93>
126. Ting, D. S. W., Cheung, G. C. M., Wong, T. Y. (2016) Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review. Clin. Exp. Ophthalmol. 44, 260-277. <https://doi.org/10.1111/ceo.12696>
127. Uitterlinden, A. G. (2016) An introduction to genome-wide association studies: GWAS for dummies. Semin. Reprod. Med. 34, 196-204.
128. Ustinova, M., Peculis, R., Rescenko, R., Rovite, V., Zaharenko, L., Elbere, I., Silamikele, L., Konrade, I., Sokolovska, J., Pirags, V., Klovins, J. (2021) Novel susceptibility loci identified in a genome-wide association study of type 2 diabetes complications in population of Latvia. BMC Med. Genomics 14, 18. <https://doi.org/10.1186/s12920-020-00860-4>
129. ÚZIS (2020) Zdravotnická Ročenka České Republiky 2019 (Annual Health Report of the Czech Republic 2019). Institute of Health Information and Statistics of the Czech Republic, Prague. (in Czech)
130. van Zuydam, N. R., Ahlqvist, E., Sandholm, N., Deshmukh, H., Rayner, N. W., Abdalla, M., Ladenvall, C., Ziemek, D., Fauman, E., Robertson, N. R., McKeigue, P. M., Valo, E., Forsblom, C., Harjutsalo, V., Study (FinnDiane), F. D. N., Perna, A., Rurali, E., Marcovecchio, M. L., Igo, R. P., Salem, R. M., Perico, N., Lajer, M., Käräjämäki, A., Imamura, M., Kubo, M., Takahashi, A., Sim, X., Liu, J., van Dam, R. M., Jiang, G., Tam, C. H. T., Luk, A. O. Y., Lee, H. M., Lim, C. K. P., Szeto, C. C., So, W. Y., Chan, J. C. N., Group, H. K. D. R. T. R. S. P., Ang, S. F., Dorajoo, R., Wang, L., Clara, T. S. H., McKnight, A.-J., Duffy, S., Group W. 3 and G. of K. in D. (GoKinD) S., Pezzolesi, M. G., Consortium G. (GEnetics of N. an I. E., Marre, M., Gyorgy, B., Hadjadj, S., Hiraki, L. T., Group, D. C. and C. T. (DCCT)/Epidemiology of D. I. and C. (EDIC) R., Ahluwalia, T. S., Almgren, P., Schulz, C.-A., Orho-Melander, M., Linneberg, A., Christensen, C., Witte, D. R., Grarup, N., Brandslund, I., Melander, O., Paterson, A. D., Tregouet, D., Maxwell, A. P., Lim, S. C., Ma, R. C. W., Tai, E. S., Maeda, S., Lyssenko, V., Tuomi, T., Krolewski, A. S., Rich, S. S., Hirschhorn, J. N., Florez, J. C., Dunger, D., Pedersen, O., Hansen, T., Rossing, P., Remuzzi, G., Consortium Su. markers for M. M. hard endpoints for I. diabetes T. (SUMMIT), Brosnan, M. J., Palmer, C. N. A., Groop, P.-H., Colhoun, H. M., Groop, L. C., McCarthy, M. I. (2018) A genome-wide association study of diabetic kidney disease in subjects with type 2 diabetes. Diabetes 67, 1414-1427. <https://doi.org/10.2337/db17-0914>
131. Vcelak, J., Vejrazkova, D., Vankova, M., Lukasova, P., Bradnova, O., Halkova, T., Bestak, J., Andelova, K., Kvasnickova, H., Hoskovcova, P., Vondra, K., Vrbikova, J., Bendlova, B. (2012) T2D risk haplotypes of the TCF7L2 gene in the Czech population sample: the association with free fatty acids composition. Physiol. Res. 61, 229-240. <https://doi.org/10.33549/physiolres.932272>
132. Vedralová, M., Kotrbova-Kozak, A., Zeleznikova, V., Zoubkova, H., Rychlik, I., Cerna, M. (2012) Polymorphisms in the vitamin D receptor gene and parathyroid hormone gene in the development and progression of diabetes mellitus and its chronic complications, diabetic nephropathy and non-diabetic renal disease. Kidney Blood Press. Res. 36, 1-9. <https://doi.org/10.1159/000339021>
133. Vujkovic, M., Keaton, J. M., Lynch, J. A., Miller, D. R., Zhou, J., Tcheandjieu, C., Huffman, J. E., Assimes, T. L., Lorenz, K., Zhu, X., Hilliard, A. T., Judy, R. L., Huang, J., Lee, K. M., Klarin, D., Pyarajan, S., Danesh, J., Melander, O., Rasheed, A., Mallick, N. H., Hameed, S., Qureshi, I. H., Afzal, M. N., Malik, U., Jalal, A., Abbas, S., Sheng, X., Gao, L., Kaestner, K. H., Susztak, K., Sun, Y. V., DuVall, S. L., Cho, K., Lee, J. S., Gaziano, J. M., Phillips, L. S., Meigs, J. B., Reaven, P. D., Wilson, P. W., Edwards, T. L., Rader, D. J., Damrauer, S. M., O’Donnell, C. J., Tsao, P. S., Chang, K.-M., Voight, B. F., Saleheen, D. (2020) Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 1.4 million participants in a multi-ethnic meta-analysis. Nat. Genet. 52, 680-691. <https://doi.org/10.1038/s41588-020-0637-y>
134. Weale, C. J., Matshazi, D. M., Davids, S. F. G., Raghubeer, S., Erasmus, R. T., Kengne, A. P., Davison, G. M., Matsha, T. E. (2021) Expression profiles of circulating microRNAs in South African type 2 diabetic individuals on treatment. Front. Genet. 8, 702410. <https://doi.org/10.3389/fgene.2021.702410>
135. WHO (2019) Classification of Diabetes Mellitus. WHO.
136. Williams, R., Karuranga, S., Malanda, B., Saeedi, P., Basit, A., Besançon, S., Bommer, C., Esteghamati, A., Ogurtsova, K., Zhang, P., Colagiuri, S. (2020) Global and regional estimates and projections of diabetes-related health expenditure: results from the International Diabetes Federation Diabetes Atlas, 9th Edition. Diabetes Res. Clin. Pract. 162, 108072. <https://doi.org/10.1016/j.diabres.2020.108072>
137. Wood, A. R., Jonsson, A., Jackson, A. U., Wang, N., van Leewen, N., Palmer, N. D., Kobes, S., Deelen, J., Boquete-Vilarino, L., Paananen, J., Stančáková, A., Boomsma, D. I., de Geus, E. J. C., Eekhoff, E. M. W., Fritsche, A., Kramer, M., Nijpels, G., Simonis-Bik, A., van Haeften, T. W., Mahajan, A., Boehnke, M., Bergman, R. N., Tuomilehto, J., Collins, F. S., Mohlke, K. L., Banasik, K., Groves, C. J., McCarthy, M. I., Diabetes Research on Patient Stratification (DIRECT), Pearson, E. R., Natali, A., Mari, A., Buchanan, T. A., Taylor, K. D., Xiang, A. H., Gjesing, A. P., Grarup, N., Eiberg, H., Pedersen, O., Chen, Y.-D., Laakso, M., Norris, J. M., Smith, U., Wagenknecht, L. E., Baier, L., Bowden, D. W., Hansen, T., Walker, M., Watanabe, R. M., ’t Hart, L. M., Hanson, R. L., Frayling, T. M. (2017) A genome-wide association study of IVGTT-based measures of first-phase insulin secretion refines the underlying physiology of type 2 diabetes variants. Diabetes 66, 2296-2309. <https://doi.org/10.2337/db16-1452>
138. Wu, Q., Saunders, R. A., Szkudlarek-Mikho, M., de la Serna, I., Chin, K.-V. (2010) The obesity-associated Fto gene is a transcriptional coactivator. Biochem. Biophys. Res. Commun. 401, 390-395. <https://doi.org/10.1016/j.bbrc.2010.09.064>
139. Wuttke, M., Li, Y., Li, M., Sieber, K. B., Feitosa, M. F., Gorski, M., Tin, A., Wang, L., Chu, A. Y., Hoppmann, A., Kirsten, H., Giri, A., Chai, J.-F., Sveinbjornsson, G., Tayo, B. O., Nutile, T., Fuchsberger, C., Marten, J., Cocca, M., Ghasemi, S., Xu, Y., Horn, K., Noce, D., van der Most, P. J., Sedaghat, S., Yu, Z., Akiyama, M., Afaq, S., Ahluwalia, T. S., Almgren, P., Amin, N., Ärnlöv, J., Bakker, S. J. L., Bansal, N., Baptista, D., Bergmann, S., Biggs, M. L., Biino, G., Boehnke, M., Boerwinkle, E., Boissel, M., Bottinger, E. P., Boutin, T. S., Brenner, H., Brumat, M., Burkhardt, R., Butterworth, A. S., Campana, E., Campbell, A., Campbell, H., Canouil, M., Carroll, R. J., Catamo, E., Chambers, J. C., Chee, M.-L., Chee, M.-L., Chen, X., Cheng, C.-Y., Cheng, Y., Christensen, K., Cifkova, R., Ciullo, M., Concas, M. P., Cook, J. P., Coresh, J., Corre, T., Sala, C. F., Cusi, D., Danesh, J., Daw, E. W., de Borst, M. H., De Grandi, A., de Mutsert, R., de Vries, A. P. J., Degenhardt, F., Delgado, G., Demirkan, A., Di Angelantonio, E., Dittrich, K., Divers, J., Dorajoo, R., Eckardt, K.-U., Ehret, G., Elliott, P., Endlich, K., Evans, M. K., Felix, J. F., Foo, V. H. X., Franco, O. H., Franke, A., Freedman, B. I., Freitag-Wolf, S., Friedlander, Y., Froguel, P., Gansevoort, R. T., Gao, H., Gasparini, P., Gaziano, J. M., Giedraitis, V., Gieger, C., Girotto, G., Giulianini, F., Gögele, M., Gordon, S. D., Gudbjartsson, D. F., Gudnason, V., Haller, T., Hamet, P., Harris, T. B., Hartman, C. A., Hayward, C., Hellwege, J. N., Heng, C.-K., Hicks, A. A., Hofer, E., Huang, W., Hutri-Kähönen, N., Hwang, S.-J., Ikram, M. A., Indridason, O. S., Ingelsson, E., Ising, M., Jaddoe, V. W. V., Jakobsdottir, J., Jonas, J. B., Joshi, P. K., Josyula, N. S., Jung, B., Kähönen, M., Kamatani, Y., Kammerer, C. M., Kanai, M., Kastarinen, M., Kerr, S. M., Khor, C.-C., Kiess, W., Kleber, M. E., Koenig, W., Kooner, J. S., Körner, A., Kovacs, P., Kraja, A. T., Krajcoviechova, A., Kramer, H., Krämer, B. K., Kronenberg, F., Kubo, M., Kühnel, B., Kuokkanen, M., Kuusisto, J., La Bianca, M., Laakso, M., Lange, L. A., Langefeld, C. D., Lee, J. J.-M., Lehne, B., Lehtimäki, T., Lieb, W., Lifelines Cohort Study, Lim, S.-C., Lind, L., Lindgren, C. M., Liu, J., Liu, J., Loeffler, M., Loos, R. J. F., Lucae, S., Lukas, M. A., Lyytikäinen, L.-P., Mägi, R., Magnusson, P. K. E., Mahajan, A., Martin, N. G., Martins, J., März, W., Mascalzoni, D., Matsuda, K., Meisinger, C., Meitinger, T., Melander, O., Metspalu, A., Mikaelsdottir, E. K., Milaneschi, Y., Miliku, K., Mishra, P. P., V. A. Million Veteran Program, Mohlke, K. L., Mononen, N., Montgomery, G. W., Mook-Kanamori, D. O., Mychaleckyj, J. C., Nadkarni, G. N., Nalls, M. A., Nauck, M., Nikus, K., Ning, B., Nolte, I. M., Noordam, R., O’Connell, J., O’Donoghue, M. L., Olafsson, I., Oldehinkel, A. J., Orho-Melander, M., Ouwehand, W. H., Padmanabhan, S., Palmer, N. D., Palsson, R., Penninx, B. W. J. H., Perls, T., Perola, M., Pirastu, M., Pirastu, N., Pistis, G., Podgornaia, A. I., Polasek, O., Ponte, B., Porteous, D. J., Poulain, T., Pramstaller, P. P., Preuss, M. H., Prins, B. P., Province, M. A., Rabelink, T. J., Raffield, L. M., Raitakari, O. T., Reilly, D. F., Rettig, R., Rheinberger, M., Rice, K. M., Ridker, P. M., Rivadeneira, F., Rizzi, F., Roberts, D. J., Robino, A., Rossing, P., Rudan, I., Rueedi, R., Ruggiero, D., Ryan, K. A., Saba, Y., Sabanayagam, C., Salomaa, V., Salvi, E., Saum, K.-U., Schmidt, H., Schmidt, R., Schöttker, B., Schulz, C.-A., Schupf, N., Shaffer, C. M., Shi, Y., Smith, A. V., Smith, B. H., Soranzo, N., Spracklen, C. N., Strauch, K., Stringham, H. M., Stumvoll, M., Svensson, P. O., Szymczak, S., Tai, E.-S., Tajuddin, S. M., Tan, N. Y. Q., Taylor, K. D., Teren, A., Tham, Y.-C., Thiery, J., Thio, C. H. L., Thomsen, H., Thorleifsson, G., Toniolo, D., Tönjes, A., Tremblay, J., Tzoulaki, I., Uitterlinden, A. G., Vaccargiu, S., van Dam, R. M., van der Harst, P., van Duijn, C. M., Velez Edward, D. R., Verweij, N., Vogelezang, S., Völker, U., Vollenweider, P., Waeber, G., Waldenberger, M., Wallentin, L., Wang, Y. X., Wang, C., Waterworth, D. M., Bin Wei, W., White, H., Whitfield, J. B., Wild, S. H., Wilson, J. F., Wojczynski, M. K., Wong, C., Wong, T.-Y., Xu, L., Yang, Q., Yasuda, M., Yerges-Armstrong, L. M., Zhang, W., Zonderman, A. B., Rotter, J. I., Bochud, M., Psaty, B. M., Vitart, V., Wilson, J. G., Dehghan, A., Parsa, A., Chasman, D. I., Ho, K., Morris, A. P., Devuyst, O., Akilesh, S., Pendergrass, S. A., Sim, X., Böger, C. A., Okada, Y., Edwards, T. L., Snieder, H., Stefansson, K., Hung, A. M., Heid, I. M., Scholz, M., Teumer, A., Köttgen, A., Pattaro, C. (2019) A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat. Genet. 51, 957-972. <https://doi.org/10.1038/s41588-019-0407-x>
140. Xu, X., Eales, J. M., Akbarov, A., Guo, H., Becker, L., Talavera, D., Ashraf, F., Nawaz, J., Pramanik, S., Bowes, J., Jiang, X., Dormer, J., Denniff, M., Antczak, A., Szulinska, M., Wise, I., Prestes, P. R., Glyda, M., Bogdanski, P., Zukowska-Szczechowska, E., Berzuini, C., Woolf, A. S., Samani, N. J., Charchar, F. J., Tomaszewski, M. (2018) Molecular insights into genome-wide association studies of chronic kidney disease-defining traits. Nat. Commun. 9, 4800. <https://doi.org/10.1038/s41467-018-07260-4>
141. Zakin, E., Abrams, R., Simpson, D. M. (2019) Diabetic neuropathy. Semin. Neurol. 39, 560-569.
142. Zavrsnik, M., Kariz, S., Makuc, J., Seruga, M., Cilensek, I., Petrovic, D. (2016) PECAM-1 Leu125Val (rs688) polymorphism and diabetic nephropathy in Caucasians with type 2 diabetes mellitus. Anal. Cell. Pathol. (Amst.) 2016, 3152967.
143. Zusi, C., Trombetta, M., Bonetti, S., Dauriz, M., Boselli, M. L., Trabetti, E., Malerba, G., Penno, G., Zoppini, G., Bonora, E., Solini, A., Bonadonna, R. C. (2018) A renal genetic risk score (GRS) is associated with kidney dysfunction in people with type 2 diabetes. Diabetes Res. Clin. Pract. 144, 137-143. <https://doi.org/10.1016/j.diabres.2018.08.013>
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