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{
  "titles": [
    "2020 - Functional Genomics in Pancreatic \u03b2 Cells Recent Advances in Gene Deletion and Genome Editing Technologies for Diabetes Research.pdf",
    "2022 - A genome-wide functional genomics approach uncovers genetic determinants of immune phenotypes in type 1 diabetes.pdf",
    "2022 - Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease.pdf",
    "2016 - Genome-Wide Association Studies of Type 2 Diabetes.pdf",
    "2012 - Recent Developments in the Genetic and Genomic Basis of Type 2 Diabetes.pdf",
    "2010 - Liver and Adipose Expression Associated SNPs.pdf",
    "2016 - Transcriptomics in type 2 diabetes Bridging the gap between genotype and phenotype.pdf",
    "2012 - Recent Developments in the Genetic and Genomic Basis of Type 2 Diabetes.pdf",
    "2012 - Finding Genetic Risk Factors of Gestational Diabetes.pdf",
    "2015 - Genetic Studies on Diabetic Microvascular Complications.pdf"
  ],
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  "contexts": [
    "wide association study identi es novel risk loci for type 2 diabetes. Nature (2007) 445:881 5. doi: 10.1038/nature05616 27. Scott LJ, Mohlke KL, Bonnycastle LL, Willer CJ, Li Y, Duren WL, et al. A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science (2007) 316:1341 5. doi: 10.1126/science.1142382 28. Fuchsberger C, Flannick J, Teslovich TM, Mahajan A, Agarwala V, Gaulton KJ, et al. The genetic architecture of type 2 diabetes. Nature (2016) 536:41 7.",
    "novel loci for type 1 diabetes. Diabetes 58:290295. DOI: https://doi.org/10.2337/db08-1022, PMID:  18840781 Huang J, Ellinghaus D, Franke A, Howie B, Li Y . 2012. 1000 Genomes- based imputation identifies novel and  refined associations for the Wellcome Trust Case Control Consortium phase 1 Data. European Journal of  Human Genetics 20:801805. DOI: https://doi.org/10.1038/ejhg.2012.3, PMID: 22293688 Hundhausen C, Roth A, Whalen E, Chen J, Schneider A, Long SA, Wei S, Rawlings R, Kinsman M, Evanko SP ,",
    "general population, these loci show limited effect in DKD, especially in individuals with type 1 diabetes [ 6]. Genome- wide association studies (GWAS) have previously identified ahandful of genetic loci for DKD at the genome-wide signifi- cance level ( p<510 8)[711]. Recently, a meta-analysis of GWAS, including up to 19,406 individuals with type 1 diabetes from the Diabetic Nephropathy Collaborative Research",
    "Table 2.1 Major published T2D GWAS and meta-analyses StudyEthnicity/ origin NcasesaN controlsaNovel loci identiedGWAS or meta-analysis discoveryapproach GWAS arrayReference panel forimputationT2D phenotype denition/otherspecs Diabetes Gene Discovery Group (Sladek et al. 2007 ), NatureEuropean 694 645 SLC30A8 ,HHEX /IDE GWA Illumina 300k +  Family history of T2D, AAO <45 years, BMI <30 kg/m 2 FinlandUS Investi-gation of NIDDMGenetics (FUSION)(Scott et al. 2007a ), ScienceEuropean 1161 1174 CDKN2A/2B ,",
    "scale gene-centric meta-analysis across 39 studies identifies type 2diabetes loci. Am J Hum Genet. 2012;90(3):410 25. 13. Haiman C, Fesinmeyer M, Spencer K, Buzkova P, V oruganti V , Wan P, et al. Consistent directions ofeffect for established type 2 diabetes risk variants across populations: the Population Architectureusing Genomics and Epidemiology (PAGE) Consortium. Diabetes. 2012;61(6):1642 7.In the most complete trans-ethnic T2D GWAS",
    "9. Sladek R, Rocheleau G, Rung J, Dina C, Shen L, et al. (2007) A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature 445:881885. 10. Zeggini E, Scott LJ, Saxena R, Voight BF, Marchini JL, et al. (2008) Meta- analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nat Genet 40: 638645.11. Altshuler D, Daly MJ, Lander ES (2008) Genetic mapping in human disease. Science 322: 881888.",
    "scale ongoing efforts to localize and characterize T2D susceptibility genes using genome-wide association study (GWAS) approaches. To date, the GWAS method has achieved substantial success in localizing novel T2D susceptibility loci and loci for T2D-related glycemic traits (about 90 loci), obesity loci (~90), and loci for metabolic syndrome or its components (~50 loci), e.g. reviews: [4,20,28,29,41,47,51,64,65,67] . However, common variants identi ed by GWAS explain only about",
    "T2D GWA meta-analysis performed by the DIAbetes Genet-ics Replication and Meta-analysis (DIAGRAM) Consortium [6]. Using genotype data from almost 150,000 individuals, predominantly of European descent, the consortium was ableto define 10 novel T2D-susceptibility loci to genome-wide significance, and to highlight several hundreds more that, whilst failing to reach the stringent criteria typically regardedas proof, are nonetheless highly likely to reflect genuine",
    "18. Sladek R, Rocheleau G, Rung J, Dina C, Shen L, Serre D, et al.  A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature 2007;445:881-885. 19. Scott LJ, Mohlke KL, Bonnycastle LL, Willer CJ, Li Y, Duren  WL, et al. A genome-wide association study of type 2 diabetes  in Finns detects multiple susceptibility variants. Science 2007;  316:1341-1345. 20. Diabetes Genetics Initiative of Broad Institute of Harvard and  MIT , Lund University, and Novartis Institutes of BioMedical",
    "additive, dominant, and recessive) and did not adjust for mul - tiple comparisons. The third study is the largest GWAS con - ducted to date and is a meta-analysis of two GWASs, Genetics  of Kidneys in Diabetes (GoKinD) and Epidemiology of Dia - betes Interventions and Complications (EDIC) studies [24].  This study by Grassi et al. [24] involved 2,829 European sub - jects with T1DM. The most significant variant was rs476141  located in a long non-coding RNA ( LOC339529 ) in chromo -"
  ],
  "answer": "The latest meta-analyses of large-scale genome-wide association studies (GWAS) have identified several novel loci associated with diabetes. Specifically, the DIAbetes Genetics Replication and Meta-analysis (DIAGRAM) Consortium, using genotype data from almost 150,000 individuals predominantly of European descent, identified 10 novel type 2 diabetes (T2D) susceptibility loci that reached genome-wide significance [8].",
  "question": "What novel diabetic loci have been identified through the latest meta-analyses of large-scale genome-wide association studies (GWAS)?"
}