Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study

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Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study is …
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scholarly articleQ13442814

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P356DOI10.1136/BMJ.B4838
P932PMC publication ID2806945
P698PubMed publication ID20075150
P5875ResearchGate publication ID41028181

P50authorMichael MarmotQ1928530
Stephen E HumphriesQ51751590
Mika KivimäkiQ37386335
Meena KumariQ37390225
Philippa TalmudQ37390347
Aroon HingoraniQ47156734
P2093author name stringEric J Brunner
Jackie A Cooper
P2860cites workPost genome-wide association studies of novel genes associated with type 2 diabetes show gene-gene interaction and high predictive valueQ21092217
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Association of Transcription Factor 7-Like 2 (TCF7L2) Variants With Type 2 Diabetes in a Finnish SampleQ57317723
Combined analysis of 19 common validated type 2 diabetes susceptibility gene variants shows moderate discriminative value and no evidence of gene–gene interactionQ57364039
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Genetic variation in the gene encoding calpain-10 is associated with type 2 diabetes mellitusQ28771769
Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetesQ29417138
A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variantsQ29547210
Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levelsQ29547214
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Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyondQ29614697
Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysisQ30829257
Combining information from common type 2 diabetes risk polymorphisms improves disease predictionQ33259329
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Are variants in the CAPN10 gene related to risk of type 2 diabetes? A quantitative assessment of population and family-based association studiesQ33909587
Genotype score in addition to common risk factors for prediction of type 2 diabetesQ34884376
Clinical risk factors, DNA variants, and the development of type 2 diabetesQ34884389
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Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScoreQ37138275
New gene variants alter type 2 diabetes risk predominantly through reduced beta-cell functionQ37187240
Genome-wide association study for type 2 diabetes: clinical applicationsQ37412138
Methods for Determining the Amount of Glucose in BloodQ39931660
Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: a population-based studyQ40060574
Chromosome 9p21.3 coronary heart disease locus genotype and prospective risk of CHD in healthy middle-aged men.Q40126925
Simple scoring scheme for calculating the risk of acute coronary events based on the 10-year follow-up of the prospective cardiovascular Münster (PROCAM) studyQ40664994
Risk prediction of prevalent diabetes in a Swiss population using a weighted genetic score--the CoLaus StudyQ43952022
Population-based incidence rates and risk factors for type 2 diabetes in white individuals: the Bruneck studyQ44953922
A simple risk score identifies individuals at high risk of developing Type 2 diabetes: a prospective cohort studyQ46564797
Impact of common type 2 diabetes risk polymorphisms in the DESIR prospective studyQ46918373
P407language of work or nameEnglishQ1860
P921main subjecttype 2 diabetesQ3025883
P304page(s)b4838
P577publication date2010-01-14
P1433published inThe BMJQ546003
P1476titleUtility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study
P478volume340

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