Combining information from common type 2 diabetes risk polymorphisms improves disease prediction.
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Post genome-wide association studies of novel genes associated with type 2 diabetes show gene-gene interaction and high predictive valueInterpretation of genetic association studies: markers with replicated highly significant odds ratios may be poor classifiersStructural Properties of Gene Promoters Highlight More than Two Phenotypes of DiabetesGenetic and molecular epidemiologyStrengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaboration.Strengthening the reporting of genetic risk prediction studies (GRIPS): explanation and elaborationAnnotating individual human genomesKCNJ11: Genetic Polymorphisms and Risk of Diabetes MellitusEvaluating diagnostic accuracy of genetic profiles in affected offspring familiesTarNet: An Evidence-Based Database for Natural Medicine ResearchEvaluation of Psoriasis Genetic Risk Based on Five Susceptibility Markers in a Population from Northern PolandGenetic predictors of medically refractory ulcerative colitisExercise training, genetics and type 2 diabetes-related phenotypes.The construction of risk prediction models using GWAS data and its application to a type 2 diabetes prospective cohort.Estimating the predictive ability of genetic risk models in simulated data based on published results from genome-wide association studies.Reclassification of genetic-based risk predictions as GWAS data accumulate.Effects of the diabetes linked TCF7L2 polymorphism in a representative older populationCombined effects of thrombosis pathway gene variants predict cardiovascular events.The TCF7L2 locus and type 1 diabetesCombined effect of hemostatic gene polymorphisms and the risk of myocardial infarction in patients with advanced coronary atherosclerosis.TCF7L2 variant genotypes and type 2 diabetes risk in Brazil: significant association, but not a significant tool for risk stratification in the general population.Contribution of type 2 diabetes associated loci in the Arabic population from Tunisia: a case-control studyFrom disease association to risk assessment: an optimistic view from genome-wide association studies on type 1 diabetes.The effect of multiple genetic variants in predicting the risk of type 2 diabetes.Gene-gene interactions lead to higher risk for development of type 2 diabetes in an Ashkenazi Jewish population.Combined risk allele score of eight type 2 diabetes genes is associated with reduced first-phase glucose-stimulated insulin secretion during hyperglycemic clamps.Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study.Considerations for designing a prototype genetic test for use in translational research.Combined effects of 19 common variations on type 2 diabetes in Chinese: results from two community-based studiesTranslating associations between common kidney diseases and genetic variation into the clinicGenome-wide association studies: progress and potential for drug discovery and development.The association between 38 previously reported polymorphisms and psoriasis in a Polish population: High predicative accuracy of a genetic risk score combining 16 loci.Genetic risk profiling for prediction of type 2 diabetesGenetic variants of diabetes risk and incident cardiovascular events in chronic coronary artery disease.Predicting diabetic nephropathy using a multifactorial genetic model.Evaluation of 22 genetic variants with Crohn's disease risk in the Ashkenazi Jewish population: a case-control study.A genetic risk score combining ten psoriasis risk loci improves disease prediction.Assessing the impact of a combined analysis of four common low-risk genetic variants on autism risk.Combined effect of inflammatory gene polymorphisms and the risk of ischemic stroke in a prospective cohort of subjects with type 2 diabetes: a Go-DARTS study.Prediction model for knee osteoarthritis based on genetic and clinical information
P2860
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P2860
Combining information from common type 2 diabetes risk polymorphisms improves disease prediction.
description
2006 nî lūn-bûn
@nan
2006 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Combining information from com ...... s improves disease prediction.
@ast
Combining information from com ...... s improves disease prediction.
@en
Combining information from com ...... s improves disease prediction.
@nl
type
label
Combining information from com ...... s improves disease prediction.
@ast
Combining information from com ...... s improves disease prediction.
@en
Combining information from com ...... s improves disease prediction.
@nl
prefLabel
Combining information from com ...... s improves disease prediction.
@ast
Combining information from com ...... s improves disease prediction.
@en
Combining information from com ...... s improves disease prediction.
@nl
P2093
P2860
P50
P1433
P1476
Combining information from com ...... s improves disease prediction.
@en
P2093
Beverley Shields
Christopher J Groves
Graham Hitman
Katharine R Owen
Mark Walker
N William Rayner
P2860
P356
10.1371/JOURNAL.PMED.0030374
P407
P577
2006-10-01T00:00:00Z