Precision medicine in diabetes: a Consensus Report from the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) is a research paper published in Diabetologia (2020). On theSindex it has a DataRank of 0.798. It has been cited 203 times.
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Base Score Contribution
0.798
From this paper's citation signal
Citation Network Contribution
0
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Grant: 098395/Z/12/Z
NICHD NIH HHS
Grant: R01 HD094150
Wellcome Trust
Grant: 102820/Z/13/Z
NCATS NIH HHS
Grant: UL1 TR001873
Wellcome Trust
Grant: WT098395/Z/12/Z
National Institute for Health Research (NIHR)
Grant: NF-SI-0616-10080
NIDDK NIH HHS
Grant: P30 DK026687
NIDDK NIH HHS
Grant: R01 DK104351
NIDDK NIH HHS
Grant: R01 DK122586
NIAID NIH HHS
Grant: R21 AI142483
NIDDK NIH HHS
Grant: U01 DK105535
Medical Research Council
Grant: MR/K005707/1
NIDDK NIH HHS
Grant: P30 DK020595
NIDDK NIH HHS
Grant: R01 DK052431
NIDDK NIH HHS
Grant: R01 DK104942
NIDDK NIH HHS
Grant: U54 DK118612
NIDDK NIH HHS
Grant: DP3 DK111906
NIDDK NIH HHS
Grant: K23 DK114551
Medical Research Council
Grant: MR/T032014/1
NIDDK NIH HHS
Grant: P30 DK020593
European Research Council
Grant: 681742
Novel Approach to Systematically Characterize Exercise- and Nutrient- responsive genes in Type 2 diabetes and cardiovascular disease
Wellcome Trust
Grant: 203141
Medical Research Council
Grant: MR-K005707-1
National Institutes of Health
Grant: 5U54DK118612-04
Center for Identification and Study of Individuals with Atypical Diabetes Mellitus
National Institutes of Health
Grant: 1R01DK104351-01
Nutrigenetics & -genomics of Vitamin D and Omega-3 Fatty Acids in Type 1 Diabetes
National Institutes of Health
Grant: 1R21AI142483-01
Islet Autoimmunity Reversion as a Model of T1D Resiliency
European Commission
Grant: 115881
Assessing risk and progression of prediabetes and type 2 diabetes to enable disease modification - Sofia ref.: 115881
National Institutes of Health
Grant: 1DP3DK111906-01
Systematic identification of functional T1D-associated non-coding SNPs using genetic, transcriptomic and epigenetic methods
European Commission
Grant: 875534
Stratification of Obesity Phenotypes to Optimize Future Therapy
National Institutes of Health
Grant: 5P30DK026687-42
New York Obesity Research Center
National Institutes of Health
Grant: 5R01HD094150-03
Gestational diabetes pathophysiology uncovered by placental transcriptomics
Wellcome Trust
Grant: 098395
New insights from Neonatal Diabetes.
European Commission
Grant: 115317
DIabetes REsearCh on patient sTratification
Wellcome Trust
Grant: 102820
Stratified medicine in Type 2 diabetes: Insights from the study of drug response.
National Institutes of Health
Grant: 5R01DK104942-08
Monogenic Diabetes: Next Generation Diagnosis, Treatment and Complications
National Institutes of Health
Grant: 1R01DK122586-01
Functional Mechanisms of T1D Risk Variants and their Target Genes using 3D Epigenomics and Single Cell Approaches
National Institutes of Health
Grant: 7U01DK105535-06
Integrating genome-scale data to reveal causal mechanisms in type 2 diabetes
National Institutes of Health
Grant: 5R01DK052431-10
MOLECULAR GENETIC ANALYSIS OF HUMAN OBESITY
Wellcome Trust
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MeSH Terms
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Sustainable Development Goals
Additional file 2 of Defining type 2 diabetes polygenic risk scores through colocalization and network-based clustering of metabolic trait genetic associations
Additional file 2 of Defining type 2 diabetes polygenic risk scores through colocalization and network-based clustering of metabolic trait genetic associations
Additional file 3 of Defining type 2 diabetes polygenic risk scores through colocalization and network-based clustering of metabolic trait genetic associations
Additional file 3 of Defining type 2 diabetes polygenic risk scores through colocalization and network-based clustering of metabolic trait genetic associations
Additional file 1 of Defining type 2 diabetes polygenic risk scores through colocalization and network-based clustering of metabolic trait genetic associations
Additional file 1 of Defining type 2 diabetes polygenic risk scores through colocalization and network-based clustering of metabolic trait genetic associations