The Genetic Epidemiology of Type 2 Diabetes: Opportunities for Health Translation
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
The Genetic Epidemiology of Type 2 Diabetes: Opportunities for Health Translation
Authors
Keywords
Genetics, Genomics, Epidemiology, Risk score, Health outcomes, Type 2 diabetes
Journal
Current Diabetes Reports
Volume 19, Issue 8, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-07-22
DOI
10.1007/s11892-019-1173-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Mendelian Randomization Analysis of Hemoglobin A1c as a Risk Factor for Coronary Artery Disease
- (2019) Aaron Leong et al. DIABETES CARE
- Clinical use of current polygenic risk scores may exacerbate health disparities
- (2019) Alicia R. Martin et al. NATURE GENETICS
- A Common Type 2 Diabetes Risk Variant Potentiates Activity of an Evolutionarily Conserved Islet Stretch Enhancer and Increases C2CD4A and C2CD4B Expression
- (2018) Ina Kycia et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Six-Year Diabetes Incidence After Genetic Risk Testing and Counseling: A Randomized Clinical Trial
- (2018) Jason L. Vassy et al. DIABETES CARE
- Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
- (2018) Anubha Mahajan et al. NATURE GENETICS
- Integration of human adipocyte chromosomal interactions with adipose gene expression prioritizes obesity-related genes from GWAS
- (2018) David Z. Pan et al. Nature Communications
- Genetic inactivation of ANGPTL4 improves glucose homeostasis and is associated with reduced risk of diabetes
- (2018) Viktoria Gusarova et al. Nature Communications
- Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference
- (2018) Laura J. Corbin et al. Nature Communications
- Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables
- (2018) Emma Ahlqvist et al. Lancet Diabetes & Endocrinology
- Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations
- (2018) Amit V. Khera et al. NATURE GENETICS
- Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis
- (2018) Miriam S. Udler et al. PLOS MEDICINE
- Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps
- (2018) Anubha Mahajan et al. NATURE GENETICS
- Genetic Association of Waist-to-Hip Ratio With Cardiometabolic Traits, Type 2 Diabetes, and Coronary Heart Disease
- (2017) Connor A. Emdin et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Genetic regulatory signatures underlying islet gene expression and type 2 diabetes
- (2017) Arushi Varshney et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- HbA1c for type 2 diabetes diagnosis in Africans and African Americans: Personalized medicine NOW!
- (2017) Andrew D. Paterson PLOS MEDICINE
- Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis
- (2017) Eleanor Wheeler et al. PLOS MEDICINE
- βlinc1encodes a long noncoding RNA that regulates islet β-cell formation and function
- (2016) Luis Arnes et al. GENES & DEVELOPMENT
- The genetic architecture of type 2 diabetes
- (2016) Christian Fuchsberger et al. NATURE
- Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance
- (2016) Luca A Lotta et al. NATURE GENETICS
- Type 2 diabetes: genetic data sharing to advance complex disease research
- (2016) Jason Flannick et al. NATURE REVIEWS GENETICS
- A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease
- (2016) Robert A. Scott et al. Science Translational Medicine
- The genetic regulatory signature of type 2 diabetes in human skeletal muscle
- (2016) Laura J. Scott et al. Nature Communications
- A Mendelian randomization study of the effect of type-2 diabetes on coronary heart disease
- (2015) Omar S. Ahmad et al. Nature Communications
- Transcript Expression Data from Human Islets Links Regulatory Signals from Genome-Wide Association Studies for Type 2 Diabetes and Glycemic Traits to Their Downstream Effectors
- (2015) Martijn van de Bunt et al. PLoS Genetics
- Polygenic Type 2 Diabetes Prediction at the Limit of Common Variant Detection
- (2014) Jason L. Vassy et al. DIABETES
- Mendelian randomization: genetic anchors for causal inference in epidemiological studies
- (2014) G. Davey Smith et al. HUMAN MOLECULAR GENETICS
- Pancreatic islet enhancer clusters enriched in type 2 diabetes risk-associated variants
- (2014) Lorenzo Pasquali et al. NATURE GENETICS
- Assessing the phenotypic effects in the general population of rare variants in genes for a dominant Mendelian form of diabetes
- (2013) Jason Flannick et al. NATURE GENETICS
- Human β Cell Transcriptome Analysis Uncovers lncRNAs That Are Tissue-Specific, Dynamically Regulated, and Abnormally Expressed in Type 2 Diabetes
- (2012) Ignasi Morán et al. Cell Metabolism
- Personalized Genetic Risk Counseling to Motivate Diabetes Prevention: A randomized trial
- (2012) R. W. Grant et al. DIABETES CARE
- The clinical application of genetic testing in type 2 diabetes: a patient and physician survey
- (2009) R. W. Grant et al. DIABETOLOGIA
- Genotype Score in Addition to Common Risk Factors for Prediction of Type 2 Diabetes
- (2008) James B. Meigs et al. NEW ENGLAND JOURNAL OF MEDICINE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started