-
1
-
-
33747097918
-
Trends in the incidence of type 2 diabetes mellitus from the 1970s to the 1990s: the Framingham Heart Study
-
Fox CS, Pencina MJ, Meigs JB, et al. Trends in the incidence of type 2 diabetes mellitus from the 1970s to the 1990s: the Framingham Heart Study. Circulation 2006;113:2914-18.
-
(2006)
Circulation
, vol.113
, pp. 2914-2918
-
-
Fox, C.S.1
Pencina, M.J.2
Meigs, J.B.3
-
2
-
-
38749111775
-
The growing burden of diabetes mellitus in the US elderly population
-
discussion 199
-
Sloan FA, Bethel MA, Ruiz D Jr, et al. The growing burden of diabetes mellitus in the US elderly population. Arch Intern Med 2008;168:192-9; discussion 199.
-
(2008)
Arch Intern Med
, vol.168
, pp. 192-199
-
-
Sloan, F.A.1
Bethel, M.A.2
Ruiz Jr., D.3
-
3
-
-
34249885875
-
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
-
Scott LJ, Mohlke KL, Bonnycastle LL, et al. A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science 2007;316:1341-5.
-
(2007)
Science
, vol.316
, pp. 1341-1345
-
-
Scott, L.J.1
Mohlke, K.L.2
Bonnycastle, L.L.3
-
4
-
-
33847176604
-
A genome-wide association study identifies novel risk loci for type 2 diabetes
-
Sladek R, Rocheleau G, Rung J, et al. A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature 2007;445:881-5.
-
(2007)
Nature
, vol.445
, pp. 881-885
-
-
Sladek, R.1
Rocheleau, G.2
Rung, J.3
-
5
-
-
34249828965
-
A variant in CDKAL1 influences insulin response and risk of type 2 diabetes
-
Steinthorsdottir V, Thorleifsson G, Reynisdottir I, et al. A variant in CDKAL1 influences insulin response and risk of type 2 diabetes. Nat Genet 2007;39:770-5.
-
(2007)
Nat Genet
, vol.39
, pp. 770-775
-
-
Steinthorsdottir, V.1
Thorleifsson, G.2
Reynisdottir, I.3
-
6
-
-
84969213492
-
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared, controls
-
Wellcome Trust Case Control Consortium. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 2007;447:661-78.
-
(2007)
Nature Wellcome Trust Case Control, Consortium
, vol.447
, pp. 661-678
-
-
-
7
-
-
33750602980
-
Association analysis of 6,736 U. K. subjects provides replication and confirms TCF7L2 as a type 2 diabetes susceptibility gene with a substantial effect on individual risk
-
Groves CJ, Zeggini E, Minton J, et al. Association analysis of 6,736 U.K. subjects provides replication and confirms TCF7L2 as a type 2 diabetes susceptibility gene with a substantial effect on individual risk. Diabetes 2006;55:2640-4.
-
(2006)
Diabetes
, vol.55
, pp. 2640-2644
-
-
Groves, C.J.1
Zeggini, E.2
Minton, J.3
-
8
-
-
79251581866
-
The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies
-
eMERGE Team
-
McCarty CA, Chisholm RL, Chute CG, et al; eMERGE Team. The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies. BMC Med Genomics 2011;4:13.
-
(2011)
BMC Med Genomics
, vol.4
, pp. 13
-
-
McCarty, C.A.1
Chisholm, R.L.2
Chute, C.G.3
-
9
-
-
77958597919
-
Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease
-
Kullo IJ, Fan J, Pathak J, et al. Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease. J Am Med Inform Assoc 2010;17:568-74.
-
(2010)
J Am Med Inform Assoc
, vol.17
, pp. 568-574
-
-
Kullo, I.J.1
Fan, J.2
Pathak, J.3
-
10
-
-
78549244038
-
Identification of genomic predictors of atrioventricular conduction: using electronic medical records as a tool for genome science
-
Denny JC, Ritchie MD, Crawford DC, et al. Identification of genomic predictors of atrioventricular conduction: using electronic medical records as a tool for genome science. Circulation 2010;122:2016-21.
-
(2010)
Circulation
, vol.122
, pp. 2016-2021
-
-
Denny, J.C.1
Ritchie, M.D.2
Crawford, D.C.3
-
11
-
-
77950338000
-
Robust replication of genotype-phenotype associations across multiple diseases in an electronic medical record
-
Ritchie MD, Denny JC, Crawford DC, et al. Robust replication of genotype-phenotype associations across multiple diseases in an electronic medical record. Am J Hum Genet 2010;86:560-72.
-
(2010)
Am J Hum Genet
, vol.86
, pp. 560-572
-
-
Ritchie, M.D.1
Denny, J.C.2
Crawford, D.C.3
-
12
-
-
64349086599
-
Stimulating the adoption of health information technology
-
Blumenthal D. Stimulating the adoption of health information technology. N Engl J Med 2009;360:1477-9.
-
(2009)
N Engl J Med
, vol.360
, pp. 1477-1479
-
-
Blumenthal, D.1
-
13
-
-
84857152791
-
-
Congress US. Washington DC, USA: United States Congress
-
Congress US. American Recovery and Reinvestment Act. Washington DC, USA: United States Congress, 2009.
-
(2009)
American Recovery and Reinvestment Act.
-
-
-
14
-
-
34249888775
-
Diabetes Genetics Initiative of Broad Institute of Harvard and MIT. Lund University, and Novartis Institutes of BioMedical Research. Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
-
Saxena R, Voight BF, Lyssenko V, et al; Diabetes Genetics Initiative of Broad Institute of Harvard and MIT, Lund University, and Novartis Institutes of BioMedical Research. Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science 2007;316:1331-6.
-
(2007)
Science
, vol.316
, pp. 1331-1336
-
-
Saxena, R.1
Voight, B.F.2
Lyssenko, V.3
-
15
-
-
34249895023
-
Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes
-
Zeggini E, Weedon MN, Lindgren CM, et al. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science 2007;316:1336-41.
-
(2007)
Science
, vol.316
, pp. 1336-1341
-
-
Zeggini, E.1
Weedon, M.N.2
Lindgren, C.M.3
-
16
-
-
21544443879
-
Identification of patients with diabetes from the text of physician notes in the electronic medical record
-
Turchin A, Kohane IS, Pendergrass ML. Identification of patients with diabetes from the text of physician notes in the electronic medical record. Diabetes Care 2005;28:1794-5.
-
(2005)
Diabetes Care
, vol.28
, pp. 1794-1795
-
-
Turchin, A.1
Kohane, I.S.2
Pendergrass, M.L.3
-
17
-
-
34249793735
-
Use of an electronic medical record for the identification of research subjects with diabetes mellitus
-
Wilke RA, Berg RL, Peissig P, et al. Use of an electronic medical record for the identification of research subjects with diabetes mellitus. Clin Med Res 2007;5:1-7.
-
(2007)
Clin Med Res
, vol.5
, pp. 1-7
-
-
Wilke, R.A.1
Berg, R.L.2
Peissig, P.3
-
18
-
-
78649842241
-
Genomics, type 2 diabetes, and obesity
-
McCarthy MI. Genomics, type 2 diabetes, and obesity. N Engl J Med 2010;363:2339-50.
-
(2010)
N Engl J Med
, vol.363
, pp. 2339-2350
-
-
McCarthy, M.I.1
-
19
-
-
77954288805
-
Genetics of type 1 diabetes: what's next?
-
Pociot F, Akolkar B, Concannon P, et al. Genetics of type 1 diabetes: what's next? Diabetes 2010;59:1561-71.
-
(2010)
Diabetes
, vol.59
, pp. 1561-1571
-
-
Pociot, F.1
Akolkar, B.2
Concannon, P.3
-
20
-
-
79955035027
-
Electronic medical records for genetic research: results of the eMERGE consortium
-
79rel
-
Kho AN, Pacheco JA, Peissig PL, et al. Electronic medical records for genetic research: results of the eMERGE consortium. Sci Transl Med 2011;3:79re1.
-
(2011)
Sci Transl Med
, vol.3
-
-
Kho, A.N.1
Pacheco, J.A.2
Peissig, P.L.3
-
21
-
-
77953429952
-
Principles of human subjects protections applied in an opt-out, de-identified biobank
-
Pulley J, Clayton E, Bernard GR, et al. Principles of human subjects protections applied in an opt-out, de-identified biobank. Clin Transl Sci 2010;3:42-8.
-
(2010)
Clin Transl Sci
, vol.3
, pp. 42-48
-
-
Pulley, J.1
Clayton, E.2
Bernard, G.R.3
-
25
-
-
79953165427
-
Quality control procedures for genome-wide association studies
-
1.18
-
Turner S, Armstrong LL, Bradford Y, et al. Quality control procedures for genome-wide association studies. Curr Protoc Hum Genet 2011;68:1-19.1.18.
-
(2011)
Curr Protoc Hum Genet
, vol.68
, pp. 1-19
-
-
Turner, S.1
Armstrong, L.L.2
Bradford, Y.3
-
26
-
-
34548292504
-
PLINK: a tool set for whole-genome association and population-based linkage analyses
-
Purcell S, Neale B, Todd-Brown K, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007;81:559-75.
-
(2007)
Am J Hum Genet
, vol.81
, pp. 559-575
-
-
Purcell, S.1
Neale, B.2
Todd-Brown, K.3
-
27
-
-
34447340935
-
TCF7L2 is reproducibly associated with type 2 diabetes in various ethnic groups: a global meta-analysis
-
Cauchi S, El Achhab Y, Choquet H, et al. TCF7L2 is reproducibly associated with type 2 diabetes in various ethnic groups: a global meta-analysis. J Mol Med (Berl) 2007;85:777-82.
-
(2007)
J Mol Med (Berl)
, vol.85
, pp. 777-782
-
-
Cauchi, S.1
El Achhab, Y.2
Choquet, H.3
-
28
-
-
60049098404
-
Validation of an algorithm combining haemoglobin A1c and fasting plasma glucose for diagnosis of diabetes mellitus in UK and Australian populations
-
Manley SE, Sikaris KA, Lu ZX, et al. Validation of an algorithm combining haemoglobin A1c and fasting plasma glucose for diagnosis of diabetes mellitus in UK and Australian populations. Diabet Med 2009;26:115-21.
-
(2009)
Diabet Med
, vol.26
, pp. 115-121
-
-
Manley, S.E.1
Sikaris, K.A.2
Lu, Z.X.3
-
29
-
-
34547876837
-
Identifying people at risk for undiagnosed type 2 diabetes using the GP's electronic medical record
-
Klein Woolthuis EP, de Grauw WJ, van Gerwen WH, et al. Identifying people at risk for undiagnosed type 2 diabetes using the GP's electronic medical record. Fam Pract 2007;24:230-6.
-
(2007)
Fam Pract
, vol.24
, pp. 230-236
-
-
Klein Woolthuis, E.P.1
de Grauw, W.J.2
van Gerwen, W.H.3
-
30
-
-
84857186395
-
-
RxNorm. (accessed 26 May 2011)
-
Medicine NLo. RxNorm. 2010. http://www.nlm.nih.gov/research/umls/rxnorm/ (accessed 26 May 2011).
-
(2010)
Medicine NLo
-
-
-
32
-
-
78649332321
-
An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records
-
Schildcrout JS, Basford MA, Pulley JM, et al. An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records. J Biomed Inform 2010;43:914-23.
-
(2010)
J Biomed Inform
, vol.43
, pp. 914-923
-
-
Schildcrout, J.S.1
Basford, M.A.2
Pulley, J.M.3
|