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3. Correction: Awareness, prevalence, treatment, and control of type 2 diabetes in a semi-urban area of Nepal: Findings from a cross-sectional study conducted as a part of COBIN-D trial

Author

Gyawali, Bishal, primary, Hansen, Martin Rune Hassan, additional, Povlsen, Mia Buhl, additional, Neupane, Dinesh, additional, Andersen, Peter Krogh, additional, McLachlan, Craig Steven, additional, Sandbæk, Annelli, additional, Vaidya, Abhinav, additional, and Kallestrup, Per, additional

Published
2018
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4. Awareness, prevalence, treatment, and control of type 2 diabetes in a semi-urban area of Nepal: Findings from a cross-sectional study conducted as a part of COBIN-D trial

Author

Gyawali, Bishal, primary, Hansen, Martin Rune Hassan, additional, Povlsen, Mia Buhl, additional, Neupane, Dinesh, additional, Andersen, Peter Krogh, additional, McLachlan, Craig Steven, additional, Sandbæk, Annelli, additional, Vaidya, Abhinav, additional, and Kallestrup, Per, additional

Published
2018
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5. Does Training and Support of General Practitioners in Intensive Treatment of People with Screen-Detected Diabetes Improve Medication, Morbidity and Mortality in People with Clinically-Diagnosed Diabetes? Investigation of a Spill-Over Effect in a Cluster RCT

Author

Charles, Morten, primary, Skriver, Mette V., additional, Griffin, Simon J., additional, Simmons, Rebecca K., additional, Witte, Daniel R., additional, Dalsgaard, Else-Marie, additional, Lauritzen, Torsten, additional, and Sandbæk, Annelli, additional

Published
2017
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8. A Combined Analysis of 48 Type 2 Diabetes Genetic Risk Variants Shows No Discriminative Value to Predict Time to First Prescription of a Glucose Lowering Drug in Danish Patients with Screen Detected Type 2 Diabetes

Author

Hornbak, Malene, primary, Allin, Kristine Højgaard, additional, Jensen, Majken Linnemann, additional, Lau, Cathrine Juel, additional, Witte, Daniel, additional, Jørgensen, Marit Eika, additional, Sandbæk, Annelli, additional, Lauritzen, Torsten, additional, Andersson, Åsa, additional, Pedersen, Oluf, additional, and Hansen, Torben, additional

Published
2014
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10. Stability of the Associations between Early Life Risk Indicators and Adolescent Overweight over the Evolving Obesity Epidemic

Author

Graversen, Lise, primary, Sørensen, Thorkild I. A., additional, Petersen, Liselotte, additional, Sovio, Ulla, additional, Kaakinen, Marika, additional, Sandbæk, Annelli, additional, Laitinen, Jaana, additional, Taanila, Anja, additional, Pouta, Anneli, additional, Järvelin, Marjo-Riitta, additional, and Obel, Carsten, additional

Published
2014
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12. HbA1c Measured in Stored Erythrocytes Is Positively Linearly Associated with Mortality in Individuals with Diabetes Mellitus

Author

Sluik, Diewertje, primary, Boeing, Heiner, additional, Montonen, Jukka, additional, Kaaks, Rudolf, additional, Lukanova, Annekatrin, additional, Sandbaek, Annelli, additional, Overvad, Kim, additional, Arriola, Larraitz, additional, Ardanaz, Eva, additional, Saieva, Calogero, additional, Grioni, Sara, additional, Tumino, Rosario, additional, Sacerdote, Carlotta, additional, Mattiello, Amalia, additional, Spijkerman, Annemieke M. W., additional, van der A, Daphne L., additional, Beulens, Joline W. J., additional, van Dieren, Susan, additional, Nilsson, Peter M., additional, Groop, Leif C., additional, Franks, Paul W., additional, Rolandsson, Olov, additional, Bueno-de-Mesquita, Bas, additional, and Nöthlings, Ute, additional

Published
2012
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13. Studies of Metabolic Phenotypic Correlates of 15 Obesity Associated Gene Variants

Author

Sandholt, Camilla Helene, primary, Vestmar, Marie Aare, additional, Bille, Dorthe Sadowa, additional, Borglykke, Anders, additional, Almind, Katrine, additional, Hansen, Lars, additional, Sandbæk, Annelli, additional, Lauritzen, Torsten, additional, Witte, Daniel, additional, Jørgensen, Torben, additional, Pedersen, Oluf, additional, and Hansen, Torben, additional

Published
2011
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14. Implications of Central Obesity-Related Variants in LYPLAL1, NRXN3, MSRA, and TFAP2B on Quantitative Metabolic Traits in Adult Danes

Author

Bille, Dorthe S., primary, Banasik, Karina, additional, Justesen, Johanne M., additional, Sandholt, Camilla H., additional, Sandbæk, Annelli, additional, Lauritzen, Torsten, additional, Jørgensen, Torben, additional, Witte, Daniel R., additional, Holm, Jens-Christian, additional, Hansen, Torben, additional, and Pedersen, Oluf, additional

Published
2011
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15. Bioinformatics-Driven Identification and Examination of Candidate Genes for Non-Alcoholic Fatty Liver Disease

Author

Banasik, Karina, primary, Justesen, Johanne M., additional, Hornbak, Malene, additional, Krarup, Nikolaj T., additional, Gjesing, Anette P., additional, Sandholt, Camilla H., additional, Jensen, Thomas S., additional, Grarup, Niels, additional, Andersson, Åsa, additional, Jørgensen, Torben, additional, Witte, Daniel R., additional, Sandbæk, Annelli, additional, Lauritzen, Torsten, additional, Thorens, Bernard, additional, Brunak, Søren, additional, Sørensen, Thorkild I. A., additional, Pedersen, Oluf, additional, and Hansen, Torben, additional

Published
2011
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16. The Type 2 Diabetes Associated Minor Allele of rs2237895 KCNQ1 Associates with Reduced Insulin Release Following an Oral Glucose Load

Author

Holmkvist, Johan, primary, Banasik, Karina, additional, Andersen, Gitte, additional, Unoki, Hiroyuki, additional, Jensen, Thomas Skot, additional, Pisinger, Charlotta, additional, Borch-Johnsen, Knut, additional, Sandbæk, Annelli, additional, Lauritzen, Torsten, additional, Brunak, Sören, additional, Maeda, Shiro, additional, Hansen, Torben, additional, and Pedersen, Oluf, additional

Published
2009
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17. Non-Replication of Genome-Wide Based Associations between Common Variants in INSIG2 and PFKP and Obesity in Studies of 18,014 Danes

Author

Andreasen, Camilla H., primary, Mogensen, Mette S., additional, Borch-Johnsen, Knut, additional, Sandbæk, Annelli, additional, Lauritzen, Torsten, additional, Sørensen, Thorkild I. A., additional, Hansen, Lars, additional, Almind, Katrine, additional, Jørgensen, Torben, additional, Pedersen, Oluf, additional, and Hansen, Torben, additional

Published
2008
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18. HbA1c Measured in Stored Erythrocytes Is Positively Linearly Associated with Mortality in Individuals with Diabetes Mellitus.

Author

Sluik, Diewertje, Boeing, Heiner, Montonen, Jukka, Kaaks, Rudolf, Lukanova, Annekatrin, Sandbaek, Annelli, Overvad, Kim, Arriola, Larraitz, Ardanaz, Eva, Saieva, Calogero, Grioni, Sara, Tumino, Rosario, Sacerdote, Carlotta, Mattiello, Amalia, Spijkerman, Annemieke M. W., Van der, Daphne L., Beulens, Joline W. J., Dieren, Susan van, Nilsson, Peter M., and Groop, Leif C.

Subjects
GLYCOSYLATED hemoglobin, ERYTHROCYTES, MORTALITY, DIABETES, BLOOD cells
Abstract

Introduction: Observational studies have shown that glycated haemoglobin (HbA1c) is related to mortality, but the shape of the association is less clear. Furthermore, disease duration and medication may modify this association. This observational study explored the association between HbA1c measured in stored erythrocytes and mortality. Secondly, it was assessed whether disease duration and medication use influenced the estimates or were independently associated with mortality. Methods: Within the European Prospective Investigation into Cancer and Nutrition a cohort was analysed of 4,345 individuals with a confirmed diagnosis of diabetes at enrolment. HbA1c was measured in blood samples stored up to 19 years. Multivariable Cox proportional hazard regression models for all-cause mortality investigated HbA1c in quartiles as well as per 1% increment, diabetes medication in seven categories of insulin and oral hypoglycaemic agents, and disease duration in quartiles. Results: After a median follow-up of 9.3 years, 460 participants died. Higher HbA1c was associated with higher mortality: Hazard Ratio for 1%-increase was 1.11 (95% CI 1.06, 1.17). This association was linear (P-nonlinearity = 0.15) and persistent across categories of medication use, disease duration, and co-morbidities. Compared with metformin, other medication types were not associated with mortality. Longer disease duration was associated with mortality, but not after adjustment for HbA1c and medication. Conclusion: This prospective study showed that persons with lower HbA1c had better survival than those with higher HbA1c. The association was linear and independent of disease duration, type of medication use, and presence of comorbidities. Any improvement of HbA1c appears to be associated with reduced mortality risk. [ABSTRACT FROM AUTHOR]

Published
2012
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19. Studies of the Association of Arg72Pro of Tumor Suppressor Protein p53 with Type 2 Diabetes in a Combined Analysis of 55,521 Europeans.

Author

Burgdorf, Kristoffer Sølvsten, Grarup, Niels, Justesen, Johanne Marie, Harder, Marie Neergaard, Witte, Daniel Rinse, Jørgensen, Torben, Sandbæk, Annelli, Lauritzen, Torsten, Madsbad, Sten, Hansen, Torben, and Pedersen, Oluf

Subjects
TUMOR suppressor genes, TYPE 2 diabetes, CARBOHYDRATE intolerance, GENES, HEREDITY, META-analysis, DISEASE risk factors, ONLINE databases, MEDICAL research evaluation
Abstract

Aims: A study of 222 candidate genes in type 2 diabetes reported association of variants in RAPGEF1, ENPP1, TP53, NRF1, SLC2A2, SLC2A4 and FOXC2 with type 2 diabetes in 4,805 Finnish individuals. We aimed to replicate these associations in a Danish case-control study and to substantiate any replicated associations in meta-analyses. Furthermore, we evaluated the impact on diabetes-related intermediate traits in a population-based sample of middle-aged Danes. Methods: We genotyped nine lead variants in the seven genes in 4,973 glucose-tolerant and 3,612 type 2 diabetes Danish individuals. In meta-analyses we combined case-control data from the DIAGRAM+ Consortium (n = 47,117) and the present genotyping results. The quantitative trait studies involved 5,882 treatment-naive individuals from the Danish Inter99 study. Results: None of the nine investigated variants were significantly associated with type 2 diabetes in the Danish samples. However, for all nine variants the estimate of increase in type 2 diabetes risk was observed for the same allele as previously reported. In a meta-analysis of published and online data including 55,521 Europeans the G-allele of rs1042522 in TP53 showed significant association with type 2 diabetes (OR = 1.06 95% CI 1.02-1.11, p = 0.0032). No substantial associations with diabetes-related intermediary phenotypes were found. Conclusion: The G-allele of TP53 rs1042522 is associated with an increased prevalence of type 2 diabetes in a combined analysis of 55,521 Europeans. [ABSTRACT FROM AUTHOR]

Published
2011
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20. A genome-wide association search for type 2 diabetes genes in African Americans.

Author

Palmer ND, McDonough CW, Hicks PJ, Roh BH, Wing MR, An SS, Hester JM, Cooke JN, Bostrom MA, Rudock ME, Talbert ME, Lewis JP, Ferrara A, Lu L, Ziegler JT, Sale MM, Divers J, Shriner D, Adeyemo A, Rotimi CN, Ng MC, Langefeld CD, Freedman BI, Bowden DW, Voight BF, Scott LJ, Steinthorsdottir V, Morris AP, Dina C, Welch RP, Zeggini E, Huth C, Aulchenko YS, Thorleifsson G, McCulloch LJ, Ferreira T, Grallert H, Amin N, Wu G, Willer CJ, Raychaudhuri S, McCarroll SA, Langenberg C, Hofmann OM, Dupuis J, Qi L, Segrè AV, van Hoek M, Navarro P, Ardlie K, Balkau B, Benediktsson R, Bennett AJ, Blagieva R, Boerwinkle E, Bonnycastle LL, Boström KB, Bravenboer B, Bumpstead S, Burtt NP, Charpentier G, Chines PS, Cornelis M, Couper DJ, Crawford G, Doney AS, Elliott KS, Elliott AL, Erdos MR, Fox CS, Franklin CS, Ganser M, Gieger C, Grarup N, Green T, Griffin S, Groves CJ, Guiducci C, Hadjadj S, Hassanali N, Herder C, Isomaa B, Jackson AU, Johnson PR, Jørgensen T, Kao WH, Klopp N, Kong A, Kraft P, Kuusisto J, Lauritzen T, Li M, Lieverse A, Lindgren CM, Lyssenko V, Marre M, Meitinger T, Midthjell K, Morken MA, Narisu N, Nilsson P, Owen KR, Payne F, Perry JR, Petersen AK, Platou C, Proença C, Prokopenko I, Rathmann W, Rayner NW, Robertson NR, Rocheleau G, Roden M, Sampson MJ, Saxena R, Shields BM, Shrader P, Sigurdsson G, Sparsø T, Strassburger K, Stringham HM, Sun Q, Swift AJ, Thorand B, Tichet J, Tuomi T, van Dam RM, van Haeften TW, van Herpt T, van Vliet-Ostaptchouk JV, Walters GB, Weedon MN, Wijmenga C, Witteman J, Bergman RN, Cauchi S, Collins FS, Gloyn AL, Gyllensten U, Hansen T, Hide WA, Hitman GA, Hofman A, Hunter DJ, Hveem K, Laakso M, Mohlke KL, Morris AD, Palmer CN, Pramstaller PP, Rudan I, Sijbrands E, Stein LD, Tuomilehto J, Uitterlinden A, Walker M, Wareham NJ, Watanabe RM, Abecasis GR, Boehm BO, Campbell H, Daly MJ, Hattersley AT, Hu FB, Meigs JB, Pankow JS, Pedersen O, Wichmann HE, Barroso I, Florez JC, Frayling TM, Groop L, Sladek R, Thorsteinsdottir U, Wilson JF, Illig T, Froguel P, van Duijn CM, Stefansson K, Altshuler D, Boehnke M, McCarthy MI, Soranzo N, Wheeler E, Glazer NL, Bouatia-Naji N, Mägi R, Randall J, Johnson T, Elliott P, Rybin D, Henneman P, Dehghan A, Hottenga JJ, Song K, Goel A, Egan JM, Lajunen T, Doney A, Kanoni S, Cavalcanti-Proença C, Kumari M, Timpson NJ, Zabena C, Ingelsson E, An P, O'Connell J, Luan J, Elliott A, McCarroll SA, Roccasecca RM, Pattou F, Sethupathy P, Ariyurek Y, Barter P, Beilby JP, Ben-Shlomo Y, Bergmann S, Bochud M, Bonnefond A, Borch-Johnsen K, Böttcher Y, Brunner E, Bumpstead SJ, Chen YD, Chines P, Clarke R, Coin LJ, Cooper MN, Crisponi L, Day IN, de Geus EJ, Delplanque J, Fedson AC, Fischer-Rosinsky A, Forouhi NG, Frants R, Franzosi MG, Galan P, Goodarzi MO, Graessler J, Grundy S, Gwilliam R, Hallmans G, Hammond N, Han X, Hartikainen AL, Hayward C, Heath SC, Hercberg S, Hicks AA, Hillman DR, Hingorani AD, Hui J, Hung J, Jula A, Kaakinen M, Kaprio J, Kesaniemi YA, Kivimaki M, Knight B, Koskinen S, Kovacs P, Kyvik KO, Lathrop GM, Lawlor DA, Le Bacquer O, Lecoeur C, Li Y, Mahley R, Mangino M, Manning AK, Martínez-Larrad MT, McAteer JB, McPherson R, Meisinger C, Melzer D, Meyre D, Mitchell BD, Mukherjee S, Naitza S, Neville MJ, Oostra BA, Orrù M, Pakyz R, Paolisso G, Pattaro C, Pearson D, Peden JF, Pedersen NL, Perola M, Pfeiffer AF, Pichler I, Polasek O, Posthuma D, Potter SC, Pouta A, Province MA, Psaty BM, Rayner NW, Rice K, Ripatti S, Rivadeneira F, Rolandsson O, Sandbaek A, Sandhu M, Sanna S, Sayer AA, Scheet P, Seedorf U, Sharp SJ, Shields B, Sijbrands EJ, Silveira A, Simpson L, Singleton A, Smith NL, Sovio U, Swift A, Syddall H, Syvänen AC, Tanaka T, Tönjes A, Uitterlinden AG, van Dijk KW, Varma D, Visvikis-Siest S, Vitart V, Vogelzangs N, Waeber G, Wagner PJ, Walley A, Ward KL, Watkins H, Wild SH, Willemsen G, Witteman JC, Yarnell JW, Zelenika D, Zethelius B, Zhai G, Zhao JH, Zillikens MC, Borecki IB, Loos RJ, Meneton P, Magnusson PK, Nathan DM, Williams GH, Silander K, Salomaa V, Smith GD, Bornstein SR, Schwarz P, Spranger J, Karpe F, Shuldiner AR, Cooper C, Dedoussis GV, Serrano-Ríos M, Lind L, Palmer LJ, Franks PW, Ebrahim S, Marmot M, Kao WH, Pramstaller PP, Wright AF, Stumvoll M, Hamsten A, Buchanan TA, Valle TT, Rotter JI, Siscovick DS, Penninx BW, Boomsma DI, Deloukas P, Spector TD, Ferrucci L, Cao A, Scuteri A, Schlessinger D, Uda M, Ruokonen A, Jarvelin MR, Waterworth DM, Vollenweider P, Peltonen L, Mooser V, and Sladek R

Subjects
Adult, Aged, Case-Control Studies, Cohort Studies, Female, Genetic Predisposition to Disease, Genotype, Humans, Male, Meta-Analysis as Topic, Middle Aged, Polymorphism, Single Nucleotide, Validation Studies as Topic, Black or African American genetics, Diabetes Mellitus, Type 2 ethnology, Diabetes Mellitus, Type 2 genetics, Genome-Wide Association Study
Abstract

African Americans are disproportionately affected by type 2 diabetes (T2DM) yet few studies have examined T2DM using genome-wide association approaches in this ethnicity. The aim of this study was to identify genes associated with T2DM in the African American population. We performed a Genome Wide Association Study (GWAS) using the Affymetrix 6.0 array in 965 African-American cases with T2DM and end-stage renal disease (T2DM-ESRD) and 1029 population-based controls. The most significant SNPs (n = 550 independent loci) were genotyped in a replication cohort and 122 SNPs (n = 98 independent loci) were further tested through genotyping three additional validation cohorts followed by meta-analysis in all five cohorts totaling 3,132 cases and 3,317 controls. Twelve SNPs had evidence of association in the GWAS (P<0.0071), were directionally consistent in the Replication cohort and were associated with T2DM in subjects without nephropathy (P<0.05). Meta-analysis in all cases and controls revealed a single SNP reaching genome-wide significance (P<2.5×10(-8)). SNP rs7560163 (P = 7.0×10(-9), OR (95% CI) = 0.75 (0.67-0.84)) is located intergenically between RND3 and RBM43. Four additional loci (rs7542900, rs4659485, rs2722769 and rs7107217) were associated with T2DM (P<0.05) and reached more nominal levels of significance (P<2.5×10(-5)) in the overall analysis and may represent novel loci that contribute to T2DM. We have identified novel T2DM-susceptibility variants in the African-American population. Notably, T2DM risk was associated with the major allele and implies an interesting genetic architecture in this population. These results suggest that multiple loci underlie T2DM susceptibility in the African-American population and that these loci are distinct from those identified in other ethnic populations.

Published
2012
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