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Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
VA Million Veteran Program
Department of Genetics
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
DBBS - Biomedical Informatics and Data Science
DBBS - Computational and Systems Biology
DBBS - Human and Statistical Genetics
Institute of Clinical and Translational Sciences (ICTS)
Edison Family Center for Genome Sciences & Systems Biology
Research output
:
Contribution to journal
›
Article
›
peer-review
22
Scopus citations
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Keyphrases
Adipocyte
16%
Association Signal
16%
Cardiometabolic Disease
16%
Cell-to-cell
16%
Coronary Artery Disease
16%
Diabetes Management
16%
End-stage Diabetic Nephropathy
16%
Endothelial Cells
16%
Enteroendocrine Cells
16%
Etiological Heterogeneity
16%
European Ancestry
16%
Genetic Ancestry
16%
Genetic Contribution
16%
Genetic Drivers
100%
Genome-wide Association Study
33%
Genome-wide Significance
16%
Global Access
16%
Heterogeneous Disease
16%
Molecular Mechanism
16%
Multi-ancestry
16%
Non-overlapping
16%
Obesity
16%
Open Chromatin
16%
Overlapping Clusters
16%
Pancreatic Islets
16%
Peripheral Arterial Disease
16%
Polygenic Score
16%
Single-cell Epigenome
16%
Trait Association
16%
Type 2 Diabetes Mellitus (T2DM)
100%
Type 2 Diabetes Pathophysiology
100%
Type-specific
16%
Vascular Outcomes
33%
Biochemistry, Genetics and Molecular Biology
Adipocyte
50%
Enteroendocrine Cell
50%
Epigenomics
50%
Genetics
100%
Genome-Wide Association Study
100%