Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019;157:107843.
Murea M, Ma L, Freedman BI. Genetic and environmental factors associated with type 2 diabetes and diabetic vascular complications. Rev Diabet Stud. 2012;9(1):6–22.
Article
PubMed
PubMed Central
Google Scholar
Ali O. Genetics of type 2 diabetes. World J Diabetes. 2013;4(4):114–23.
Article
PubMed
PubMed Central
Google Scholar
Poulsen P, Kyvik KO, Vaag A, Beck-Nielsen H. Heritability of type II (non-insulin-dependent) diabetes mellitus and abnormal glucose tolerance–a population-based twin study. Diabetologia. 1999;42(2):139–45.
Article
CAS
PubMed
Google Scholar
Zhao W, Rasheed A, Tikkanen E, Lee JJ, Butterworth AS, Howson JMM, et al. Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart disease. Nat Genet. 2017;49(10):1450–7.
Article
CAS
PubMed
PubMed Central
Google Scholar
Prudente S, Di Paola R, Pezzilli S, Garofolo M, Lamacchia O, Filardi T, et al. Pharmacogenetics of oral antidiabetes drugs: evidence for diverse signals at the IRS1 locus. Pharmacogenomics J. 2018;18(3):431–5.
Article
CAS
PubMed
Google Scholar
Chawla A, Chawla R, Jaggi S. Microvasular and macrovascular complications in diabetes mellitus: Distinct or continuum? Indian J Endocrinol Metab. 2016;20(4):546–51.
Article
CAS
PubMed
PubMed Central
Google Scholar
von Ferber L, Koster I, Hauner H. Medical costs of diabetic complications total costs and excess costs by age and type of treatment results of the German CoDiM Study. Exp Clin Endocrinol Diabetes. 2007;115(2):97–104.
Article
CAS
Google Scholar
Clarke P, Gray A, Legood R, Briggs A, Holman R. The impact of diabetes-related complications on healthcare costs: results from the United Kingdom Prospective Diabetes Study (UKPDS Study No. 65). Diabet Med. 2003;20(6):442–50.
Barr EL, Zimmet PZ, Welborn TA, Jolley D, Magliano DJ, Dunstan DW, et al. Risk of cardiovascular and all-cause mortality in individuals with diabetes mellitus, impaired fasting glucose, and impaired glucose tolerance: the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab). Circulation. 2007;116(2):151–7.
Article
CAS
PubMed
Google Scholar
Hietala K, Forsblom C, Summanen P, Groop PH, FinnDiane Study G. Heritability of proliferative diabetic retinopathy. Diabetes. 2008;57(8):2176–80.
Article
CAS
Google Scholar
Vionnet N, Tregouet D, Kazeem G, Gut I, Groop PH, Tarnow L, et al. Analysis of 14 candidate genes for diabetic nephropathy on chromosome 3q in European populations: strongest evidence for association with a variant in the promoter region of the adiponectin gene. Diabetes. 2006;55(11):3166–74.
Article
CAS
PubMed
Google Scholar
Montesanto A, Bonfigli AR, Crocco P, Garagnani P, De Luca M, Boemi M, et al. Genes associated with Type 2 Diabetes and vascular complications. Aging (Albany NY). 2018;10(2):178–96.
Article
CAS
Google Scholar
Looker HC, Nelson RG, Chew E, Klein R, Klein BE, Knowler WC, et al. Genome-wide linkage analyses to identify Loci for diabetic retinopathy. Diabetes. 2007;56(4):1160–6.
Article
CAS
PubMed
Google Scholar
Liu C, Chen G, Bentley AR, Doumatey A, Zhou J, Adeyemo A, et al. Genome-wide association study for proliferative diabetic retinopathy in Africans. NPJ Genom Med. 2019;4:20.
Article
PubMed
PubMed Central
CAS
Google Scholar
Jardeleza MS, Miller JW. Review of anti-VEGF therapy in proliferative diabetic retinopathy. Semin Ophthalmol. 2009;24(2):87–92.
Article
PubMed
Google Scholar
Cheung CY, Hui EY, Lee CH, Kwok KH, Gangwani RA, Li KK, et al. Impact of genetic loci identified in genome-wide association studies on diabetic retinopathy in Chinese patients with type 2 diabetes. Invest Ophthalmol Vis Sci. 2016;57(13):5518–24.
Article
CAS
PubMed
Google Scholar
Wojcik GL, Graff M, Nishimura KK, Tao R, Haessler J, Gignoux CR, et al. Genetic analyses of diverse populations improves discovery for complex traits. Nature. 2019;570(7762):514–8.
Article
CAS
PubMed
PubMed Central
Google Scholar
Kochi Y, Suzuki A, Yamada R, Yamamoto K. Genetics of rheumatoid arthritis: underlying evidence of ethnic differences. J Autoimmun. 2009;32(3–4):158–62.
Article
CAS
PubMed
Google Scholar
Moltke I, Grarup N, Jorgensen ME, Bjerregaard P, Treebak JT, Fumagalli M, et al. A common Greenlandic TBC1D4 variant confers muscle insulin resistance and type 2 diabetes. Nature. 2014;512(7513):190–3.
Article
CAS
PubMed
Google Scholar
Maghbooli Z, Pasalar P, Keshtkar A, Farzadfar F, Larijani B. Predictive factors of diabetic complications: a possible link between family history of diabetes and diabetic retinopathy. J Diabetes Metab Disord. 2014;13:55.
Article
PubMed
PubMed Central
Google Scholar
Rovite V, Wolff-Sagi Y, Zaharenko L, Nikitina-Zake L, Grens E, Klovins J. Genome database of the latvian population (LGDB): design, goals, and primary results. J Epidemiol. 2018;28(8):353–60.
Article
PubMed
PubMed Central
Google Scholar
Marees AT, de Kluiver H, Stringer S, Vorspan F, Curis E, Marie-Claire C, et al. A tutorial on conducting genome-wide association studies: quality control and statistical analysis. Int J Methods Psychiatr Res. 2018;27(2):e1608.
Article
PubMed
PubMed Central
Google Scholar
Delaneau O, Zagury JF, Marchini J. Improved whole-chromosome phasing for disease and population genetic studies. Nat Methods. 2013;10(1):5–6.
Article
CAS
PubMed
Google Scholar
Howie B, Fuchsberger C, Stephens M, Marchini J, Abecasis GR. Fast and accurate genotype imputation in genome-wide association studies through pre-phasing. Nat Genet. 2012;44(8):955–9.
Article
CAS
PubMed
PubMed Central
Google Scholar
Beck T, Shorter T, Brookes AJ. GWAS Central: a comprehensive resource for the discovery and comparison of genotype and phenotype data from genome-wide association studies. Nucleic Acids Res. 2020;48(D1):D933–40.
CAS
PubMed
Google Scholar
Buniello A, MacArthur JAL, Cerezo M, Harris LW, Hayhurst J, Malangone C, et al. The NHGRI-EBI GWAS catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res. 2019;47(D1):D1005–12.
Article
CAS
PubMed
Google Scholar
Consortium GT. Erratum: Genetic effects on gene expression across human tissues. Nature. 2018;553(7689):530.
Article
CAS
Google Scholar
Forbes JM, Cooper ME. Mechanisms of diabetic complications. Physiol Rev. 2013;93(1):137–88.
Article
CAS
PubMed
Google Scholar
Yates AD, Achuthan P, Akanni W, Allen J, Allen J, Alvarez-Jarreta J, et al. Ensembl 2020. Nucleic Acids Res. 2020;48(D1):D682–8.
CAS
PubMed
Google Scholar
Phan L,Jin Y,Zhang H, Qiang W, Shekhtman E, Shao D, Revoe D, Villamarin R, Ivanchenko E, Kimura M, Wang ZY, Hao L, Sharopova N, Bihan M, Sturcke A, Lee M, Popova N, Wu W, Bastiani C, Ward M, Holmes JB, Lyoshin V, Kaur K, Moyer E, Feolo M, Kattman BL. ALFA: Allele Frequency Aggregator: National Center for Biotechnology Information, U.S. National Library of Medicine; 2020 [10 Mar]. Available from: www.ncbi.nlm.nih.gov/snp/docs/gsr/alfa/.
Meng W, Shah KP, Pollack S, Toppila I, Hebert HL, McCarthy MI, et al. 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. 2018;96(7):e811–9.
Article
CAS
PubMed
PubMed Central
Google Scholar
Hur J, Dauch JR, Hinder LM, Hayes JM, Backus C, Pennathur S, et al. The metabolic syndrome and microvascular complications in a murine model of type 2 diabetes. Diabetes. 2015;64(9):3294–304.
Article
CAS
PubMed
PubMed Central
Google Scholar
Cheng C, Kobayashi M, Martinez JA, Ng H, Moser JJ, Wang X, et al. Evidence for epigenetic regulation of gene expression and function in chronic experimental diabetic neuropathy. J Neuropathol Exp Neurol. 2015;74(8):804–17.
Article
CAS
PubMed
Google Scholar
Zhao W, Wineinger NE, Tiwari HK, Mosley TH, Broeckel U, Arnett DK, et al. Copy number variations associated with obesity-related traits in African Americans: a joint analysis between GENOA and HyperGEN. Obesity (Silver Spring). 2012;20(12):2431–7.
Article
CAS
Google Scholar
Roubin R, Acquaviva C, Chevrier V, Sedjai F, Zyss D, Birnbaum D, et al. Myomegalin is necessary for the formation of centrosomal and Golgi-derived microtubules. Biol Open. 2013;2(2):238–50.
Article
CAS
PubMed
Google Scholar
Auer PL, Nalls M, Meschia JF, Worrall BB, Longstreth WT Jr, Seshadri S, et al. Rare and coding region genetic variants associated with risk of ischemic stroke: the NHLBI exome sequence project. JAMA Neurol. 2015;72(7):781–8.
Article
PubMed
PubMed Central
Google Scholar
Ward-Caviness CK, Agha G, Chen BH, Pfeiffer L, Wilson R, Wolf P, et al. Analysis of repeated leukocyte DNA methylation assessments reveals persistent epigenetic alterations after an incident myocardial infarction. Clin Epigenet. 2018;10(1):161.
Article
CAS
Google Scholar
Li L, Pan Z, Yang X. Key genes and co-expression network analysis in the livers of type 2 diabetes patients. J Diabetes Investig. 2019;10(4):951–62.
Article
CAS
PubMed
PubMed Central
Google Scholar
Juhanson P, Kepp K, Org E, Veldre G, Kelgo P, Rosenberg M, et al. N-acetyltransferase 8, a positional candidate for blood pressure and renal regulation: resequencing, association and in silico study. BMC Med Genet. 2008;9:25.
Article
PubMed
PubMed Central
CAS
Google Scholar
Pliss L, Timsa L, Rootsi S, Tambets K, Pelnena I, Zole E, et al. Y-chromosomal lineages of latvians in the context of the genetic variation of the Eastern-Baltic region. Ann Hum Genet. 2015;79(6):418–30.
Article
CAS
PubMed
Google Scholar
Kottgen A, Pattaro C, Boger CA, Fuchsberger C, Olden M, Glazer NL, et al. New loci associated with kidney function and chronic kidney disease. Nat Genet. 2010;42(5):376–84.
Article
PubMed
PubMed Central
CAS
Google Scholar
Simone B, De Stefano V, Leoncini E, Zacho J, Martinelli I, Emmerich J, et al. Risk of venous thromboembolism associated with single and combined effects of Factor V Leiden, Prothrombin 20210A and Methylenetethraydrofolate reductase C677T: a meta-analysis involving over 11,000 cases and 21,000 controls. Eur J Epidemiol. 2013;28(8):621–47.
Article
CAS
PubMed
PubMed Central
Google Scholar
Casas JP, Hingorani AD, Bautista LE, Sharma P. Meta-analysis of genetic studies in ischemic stroke: thirty-two genes involving approximately 18,000 cases and 58,000 controls. Arch Neurol. 2004;61(11):1652–61.
Article
PubMed
Google Scholar
Lindstrom S, Wang L, Smith EN, Gordon W, van Hylckama VA, de Andrade M, et al. Genomic and transcriptomic association studies identify 16 novel susceptibility loci for venous thromboembolism. Blood. 2019;134(19):1645–57.
Article
PubMed
PubMed Central
Google Scholar
Martinez EC, Passariello CL, Li J, Matheson CJ, Dodge-Kafka K, Reigan P, et al. RSK3: a regulator of pathological cardiac remodeling. IUBMB Life. 2015;67(5):331–7.
Article
CAS
PubMed
PubMed Central
Google Scholar
Ding Y, Liu K, Wang Y, Su G, Deng H, Zeng Q, et al. Expression and significance of fgl2 prothrombinase in cardiac microvascular endothelial cells of rats with type 2 diabetes. J Huazhong Univ Sci Technolog Med Sci. 2010;30(5):575–81.
Article
CAS
PubMed
Google Scholar
Hearn T. ALMS1 and Alstrom syndrome: a recessive form of metabolic, neurosensory and cardiac deficits. J Mol Med (Berl). 2019;97(1):1–17.
Article
CAS
Google Scholar
Meng W, Veluchamy A, Hebert HL, Campbell A, Colhoun HM, Palmer CNA. A genome-wide association study suggests that MAPK14 is associated with diabetic foot ulcers. Br J Dermatol. 2017;177(6):1664–70.
Article
CAS
PubMed
PubMed Central
Google Scholar
Iyengar SK, Sedor JR, Freedman BI, Kao WH, Kretzler M, Keller BJ, et al. Genome-wide association and trans-ethnic meta-analysis for advanced diabetic kidney disease: family investigation of nephropathy and diabetes (FIND). PLoS Genet. 2015;11(8):e1005352.
Article
PubMed
PubMed Central
CAS
Google Scholar
Zoungas S, Woodward M, Li Q, Cooper ME, Hamet P, Harrap S, et al. Impact of age, age at diagnosis and duration of diabetes on the risk of macrovascular and microvascular complications and death in type 2 diabetes. Diabetologia. 2014;57(12):2465–74.
Article
PubMed
Google Scholar