dm2 prediction

Multiple biomarker prediction of type 2 diabetes.
Meigs JB.

van Hoek DM2 prediction in population study Rotterdam

Joint Effects of Common Genetic Variants on the Risk for Type 2 Diabetes in U.S. Men and Women of European Ancestry Marilyn C. Cornelis, PhD; Lu Qi, MD, PhD; Cuilin Zhang, MD, PhD; Peter Kraft, PhD; JoAnn Manson, MD, DPH; Tianxi Cai, PhD; David J. Hunter, MBBS, ScD; and Frank B. Hu, MD, PhD
21 April 2009 Volume 150 Issue 8 Pages 541-550
Conclusion: Although its discriminatory value is currently limited, a GRS that combines information from multiple genetic variants might be useful for identifying subgroups with a particularly high risk for type 2 diabetes.
annal of internal medicine- NURSES HEALTH STUDY



Comment in:
Lancet. 2009 Jun 27;373(9682):2178-9.
Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: an analysis from the Whitehall II study.
Tabák AG, Jokela M, Akbaraly TN, Brunner EJ, Kivimäki M, Witte DR.
INTERPRETATION: In this study, we show changes in glucose concentrations, insulin sensitivity, and insulin secretion as much as 3-6 years before diagnosis of diabetes. The description of biomarker trajectories leading to diabetes diagnosis could contribute to more-accurate risk prediction models that use repeated measures available for patients through regular check-ups.


Using the Optimal Receiver Operating Characteristic Curve to Design a Predictive Genetic Test, Exemplified with Type 2 Diabetes
Qing Lu1 and Robert C. Elston1

CF SERIES OF BASIC EPIDEMIOLOGY/STATISTCS BY AKOBENG
/DIAGNOSTIC TESTS/ UIN ACTA PAEDIATRICA


CALIBRATION STATISTICS
CF DIAGNOSTIC VS PROGNOSTIC MODELS - ROC

Cook NR. Statistical evaluation of prognostic versus diagnostic models: beyond the ROC curve. Clin Chem 2008;54:17-23. [Free Full Text]


Fine-tuning of prediction of isolated impaired glucose tolerance: a quantitative clinical prediction model.
Rambod M, Hosseinpanah F, Ardakani EM, Padyab M, Azizi F.
Diabetes Res Clin Pract. 2009 Jan;83(1):61-8. Epub 2008 Nov 13.
PMID: 19012984 [PubMed - indexed for MEDLINE]
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ARIC STUDY
Comment in:
Ann Intern Med. 2009 Jun 2;150(11):812-4.
Two risk-scoring systems for predicting incident diabetes mellitus in U.S. adults age 45 to 64 years.
Kahn HS, Cheng YJ, Thompson TJ, Imperatore G, Gregg EW.
Centers for Disease Control and Prevention, 4770 Buford Highway Northeast, Atlanta, GA 30341, USA.
CONCLUSION: Basic information identified adults at high risk for diabetes. Additional data from fasting blood tests better identified those at extreme risk.
RESULTS: The basic scoring system included waist circumference (10 to 35 points); maternal diabetes (13 points); hypertension (11 points); and paternal diabetes, short stature, black race, age 55 years or older, increased weight, rapid pulse, and smoking history (< or ="8" or ="7" href="http://www.bmj.com/cgi/content/full/338/mar17_2/b880?view=long&pmid=19297312">Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore


Different strategies for screening and prevention of type 2 diabetes in adults: cost effectiveness analysis
Clare L Gillies, Paul C Lambert, Keith R Abrams, Alex J Sutton, Nicola J Cooper, Ron T Hsu, Melanie J Davies, and Kamlesh KhuntiBMJ 2008 336: 1180-1185. [Abstract] [Full Text] [


Impaired fasting glucose cutoff value of 5.6 mmol/l combined with other cardiovascular risk markers is a better predictor for incident Type 2 diabetes than the 6.1 mmol/l value: Tehran lipid and glucose study.
Harati H, Hadaegh F, Tohidi M, Azizi F.
Diabetes Res Clin Pract. 2009 Jul;85(1):90-5. Epub 2009 May 2.
PMID: 19414206 [PubMed - in process]
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Serum uric acid levels improve prediction of incident type 2 diabetes in individuals with impaired fasting glucose: the Rancho Bernardo Study.
Kramer CK, von Mühlen D, Jassal SK, Barrett-Connor E.
Diabetes Care. 2009 Jul;32(7):1272-3. Epub 2009 Apr 14.
PMID: 19366963 [PubMed - in process]
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gattaca are we yet there????

Genome-wide association studies in type 2 diabetes.
McCarthy MI, Zeggini E.
Curr Diab Rep. 2009 Apr;9(2):164-71. Review.
PMID: 19323962 [PubMed - in process]
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Clinical translation of genetic predictors for type 2 diabetes.
Majithia AR, Florez JC.
Curr Opin Endocrinol Diabetes Obes. 2009 Apr;16(2):100-6. Review.
PMID: 19306524 [PubMed - indexed for MEDLINE]
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Construction of a prediction model for type 2 diabetes mellitus in the Japanese population based on 11 genes with strong evidence of the association.
Miyake K, Yang W, Hara K, Yasuda K, Horikawa Y, Osawa H, Furuta H, Ng MC, Hirota Y, Mori H, Ido K, Yamagata K, Hinokio Y, Oka Y, Iwasaki N, Iwamoto Y, Yamada Y, Seino Y, Maegawa H, Kashiwagi A, Wang HY, Tanahashi T, Nakamura N, Takeda J, Maeda E, Yamamoto K, Tokunaga K, Ma RC, So WY, Chan JC, Kamatani N, Makino H, Nanjo K, Kadowaki T, Kasuga M.
J Hum Genet. 2009;54(4):236-41. Epub 2009 Feb 27.
PMID: 19247372 [PubMed - in process]

Prediction of type 2 diabetes using alternate anthropometric measures in a multi-ethnic cohort: the insulin resistance atherosclerosis study.
MacKay MF, Haffner SM, Wagenknecht LE, D'Agostino RB Jr, Hanley AJ.
Diabetes Care. 2009 May;32(5):956-8. Epub 2009 Feb 5.
PMID: 19196891 [PubMed - in process]
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Hanley AJ, Williams K, Gonzalez C, D'Agostino RB Jr, Wagenknecht LE, Stern MP, Haffner SM; San Antonio Heart Study; Mexico City Diabetes Study; Insulin Resistance Atherosclerosis Study.
Diabetes. 2003 Feb;52(2):463-9. Erratum in: Diabetes. 2003 May;52(5):1306.
PMID: 12540622 [PubMed - indexed for MEDLINE]
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Use of alternative thresholds defining insulin resistance to predict incident type 2 diabetes mellitus and cardiovascular disease.
Rutter MK, Wilson PW, Sullivan LM, Fox CS, D'Agostino RB Sr, Meigs JB.
Circulation. 2008 Feb 26;117(8):1003-9. Epub 2008 Feb 4.
PMID: 18250267 [PubMed - indexed for MEDLINE]
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M. A. Abdul-Ghani, V. Lyssenko, T. Tuomi, R. A. DeFronzo,
and L. Groop
Fasting Versus Postload Plasma Glucose Concentration and the Risk for Future Type 2 Diabetes: Results from the Botnia Study Diabetes Care February 1, 2009 32:281-286
Abstract Full Text Full Text (PDF)

S. Prudente, D. Scarpelli, M. Chandalia, Y.-Y. Zhang, E. Morini, S. Del Guerra, F. Perticone, R. Li, C. Powers, F. Andreozzi, P. Marchetti, B. Dallapiccola, N. Abate, A. Doria, G. Sesti,
and V. Trischitta
The TRIB3 Q84R Polymorphism and Risk of Early-Onset Type 2 Diabetes Journal of Clinical Endocrinol January 1, 2009 94:190-196
Abstract


Is femur length the key height component in risk prediction of type 2 diabetes among adults?
Liu J, Tan H, Jeynes B.
Diabetes Care. 2009 Apr;32(4):739-40. Epub 2009 Jan 26.
PMID: 19171722 [PubMed - in process]
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Lin X, Song K, Lim N, Yuan X, Johnson T, Abderrahmani A, Vollenweider P, Stirnadel H, Sundseth SS, Lai E, Burns DK, Middleton LT, Roses AD, Matthews PM, Waeber G, Cardon L, Waterworth DM, Mooser V.
Diabetologia. 2009 Apr;52(4):600-8. Epub 2009 Jan 13.
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Sato KK, Hayashi T, Harita N, Yoneda T, Nakamura Y, Endo G, Kambe H.
Diabetes Care. 2009 Apr;32(4):644-6. Epub 2009 Jan 8.
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Droumaguet C, Balkau B, Simon D, Caces E, Tichet J, Charles MA, Eschwege E; DESIR Study Group.
Diabetes Care. 2006 Jul;29(7):1619-25.
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Comparison of a clinical model, the oral glucose tolerance test, and fasting glucose for prediction of type 2 diabetes risk in Japanese Americans.
McNeely MJ, Boyko EJ, Leonetti DL, Kahn SE, Fujimoto WY.
Diabetes Care. 2003 Mar;26(3):758-63.
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Fasting versus postload plasma glucose concentration and the risk for future type 2 diabetes: results from the Botnia Study.
Abdul-Ghani MA, Lyssenko V, Tuomi T, DeFronzo RA, Groop L.
Diabetes Care. 2009 Feb;32(2):281-6. Epub 2008 Nov 18.
PMID: 19017778 [PubMed - indexed for MEDLINE]
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SKIN AUTOFLUORESCENCE
Noninvasive type 2 diabetes screening: superior sensitivity to fasting plasma glucose and A1C.
Maynard JD, Rohrscheib M, Way JF, Nguyen CM, Ediger MN.
Diabetes Care. 2007 May;30(5):1120-4. Epub 2007 Mar 2.
PMID: 17337498 [PubMed - indexed for MEDLINE]
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HbA1c measurement improves the detection of type 2 diabetes in high-risk individuals with nondiagnostic levels of fasting plasma glucose: the Early Diabetes Intervention Program (EDIP).
Perry RC, Shankar RR, Fineberg N, McGill J, Baron AD; Early Diabetes Intervention Program (EDIP).
Diabetes Care. 2001 Mar;24(3):465-71.
PMID: 11289469 [PubMed - indexed for MEDLINE]
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Screening for type 2 diabetes and impaired glucose metabolism: the Australian experience.
Colagiuri S, Hussain Z, Zimmet P, Cameron A, Shaw J; AusDiab.
Diabetes Care. 2004 Feb;27(2):367-71.
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Diagnostic and therapeutic implications of relationships between fasting, 2-hour postchallenge plasma glucose and hemoglobin a1c values.
Woerle HJ, Pimenta WP, Meyer C, Gosmanov NR, Szoke E, Szombathy T, Mitrakou A, Gerich JE.
Arch Intern Med. 2004 Aug 9-23;164(15):1627-32.
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FINNISH DIABETES RISK SCORE

The Finnish Diabetes Risk Score is associated with insulin resistance and progression towards type 2 diabetes.
Schwarz PE, Li J, Reimann M, Schutte AE, Bergmann A, Hanefeld M, Bornstein SR, Schulze J, Tuomilehto J, Lindström J.
J Clin Endocrinol Metab. 2009 Mar;94(3):920-6. Epub 2008 Dec 23.
PMID: 19106274 [PubMed - indexed for MEDLINE]


NMR-determined lipoprotein subclass profile predicts type 2 diabetes.
Hodge AM, Jenkins AJ, English DR, O'Dea K, Giles GG.
Diabetes Res Clin Pract. 2009 Jan;83(1):132-9. Epub 2008 Dec 16.
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Ford ES, Schulze MB, Pischon T, Bergmann MM, Joost HG, Boeing H.
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Chien K, Cai T, Hsu H, Su T, Chang W, Chen M, Lee Y, Hu FB.
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TCF7L2 variant genotypes and type 2 diabetes risk in Brazil: significant association, but not a significant tool for risk stratification in the general population.
Marquezine GF, Pereira AC, Sousa AG, Mill JG, Hueb WA, Krieger JE.
BMC Med Genet. 2008 Dec 4;9:106.
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Tools for predicting the risk of type 2 diabetes in daily practice.
Schwarz PE, Li J, Lindstrom J, Tuomilehto J.
Horm Metab Res. 2009 Feb;41(2):86-97. Epub 2008 Nov 19. Review.
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Clinical risk factors, DNA variants, and the development of type 2 diabetes.
Lyssenko V, Jonsson A, Almgren P, Pulizzi N, Isomaa B, Tuomi T, Berglund G, Altshuler D, Nilsson P, Groop L.
N Engl J Med. 2008 Nov 20;359(21):2220-32.
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159:
Genotype score in addition to common risk factors for prediction of type 2 diabetes.
Meigs JB, Shrader P, Sullivan LM, McAteer JB, Fox CS, Dupuis J, Manning AK, Florez JC, Wilson PW, D'Agostino RB Sr, Cupples LA.
N Engl J Med. 2008 Nov 20;359(21):2208-19. Erratum in: N Engl J Med. 2009 Feb 5;360(6):648.
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Validating the Framingham Offspring Study equations for predicting incident diabetes mellitus.
Nichols GA, Brown JB.
Am J Manag Care. 2008 Sep;14(9):574-80.
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Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR).
Balkau B, Lange C, Fezeu L, Tichet J, de Lauzon-Guillain B, Czernichow S, Fumeron F, Froguel P, Vaxillaire M, Cauchi S, Ducimetière P, Eschwège E.
Diabetes Care. 2008 Oct;31(10):2056-61. Epub 2008 Aug 8.
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Metabolic syndrome and incident diabetes: current state of the evidence.
Ford ES, Li C, Sattar N.
Diabetes Care. 2008 Sep;31(9):1898-904. Epub 2008 Jun 30. Review.
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The interaction between impaired acute insulin response and insulin resistance predict type 2 diabetes and impairment of fasting glucose: report from a 20-year follow-up in the Uppsala Longitudinal Study of Adult Men - ULSAM.
Zethelius B, Berglund L, Hänni A, Berne C.
Ups J Med Sci. 2008;113(2):117-30.
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Validation of prediction of diabetes by the Archimedes model and comparison with other predicting models.
Stern M, Williams K, Eddy D, Kahn R.
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Insulin-like growth factor-binding protein-1 in the prediction and development of type 2 diabetes in middle-aged Swedish men.
Lewitt MS, Hilding A, Ostenson CG, Efendic S, Brismar K, Hall K.
Diabetologia. 2008 Jul;51(7):1135-45. Epub 2008 May 22.
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Additional contribution of emerging risk factors to the prediction of the risk of type 2 diabetes: evidence from the Western New York Study.
Stranges S, Rafalson LB, Dmochowski J, Rejman K, Tracy RP, Trevisan M, Donahue RP.
Obesity (Silver Spring). 2008 Jun;16(6):1370-6. Epub 2008 Mar 20.
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Ley SH, Harris SB, Connelly PW, Mamakeesick M, Gittelsohn J, Hegele RA, Retnakaran R, Zinman B, Hanley AJ.
Diabetes Care. 2008 Jul;31(7):1410-5. Epub 2008 Mar 13. Erratum in: Diabetes Care. 2008 Aug;31(8):1713.
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Cameron AJ, Magliano DJ, Zimmet PZ, Welborn TA, Colagiuri S, Tonkin AM, Shaw JE.
J Intern Med. 2008 Aug;264(2):177-86. Epub 2008 Feb 20.
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Liver enzymes and risk of diabetes and cardiovascular disease: results of the Firenze Bagno a Ripoli (FIBAR) study.
Monami M, Bardini G, Lamanna C, Pala L, Cresci B, Francesconi P, Buiatti E, Rotella CM, Mannucci E.
Metabolism. 2008 Mar;57(3):387-92.
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Gupta AK, Dahlof B, Dobson J, Sever PS, Wedel H, Poulter NR; Anglo-Scandinavian Cardiac Outcomes Trial Investigators.
Diabetes Care. 2008 May;31(5):982-8. Epub 2008 Jan 30.
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Can self-rated health scores be used for risk prediction in patients with type 2 diabetes?
Hayes AJ, Clarke PM, Glasziou PG, Simes RJ, Drury PL, Keech AC.
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Impact of common type 2 diabetes risk polymorphisms in the DESIR prospective study.
Vaxillaire M, Veslot J, Dina C, Proença C, Cauchi S, Charpentier G, Tichet J, Fumeron F, Marre M, Meyre D, Balkau B, Froguel P; DESIR Study Group.
Diabetes. 2008 Jan;57(1):244-54. Epub 2007 Oct 31.
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A simplified Finnish diabetes risk score to predict type 2 diabetes risk and disease evolution in a German population.
Bergmann A, Li J, Wang L, Schulze J, Bornstein SR, Schwarz PE.
Horm Metab Res. 2007 Sep;39(9):677-82.
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