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Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits
eTRANSAFE
Identification of biomarkers for glycaemic deterioration in type 2 diabetes
Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models
Four groups of type 2 diabetes contribute to the etiological and clinical heterogeneity in newly diagnosed individuals
Processes underlying glycemic deterioration in type 2 diabetes
Whole blood co-expression modules associate with metabolic traits and type 2 diabetes
Post-load glucose subgroups and associated metabolic traits in individuals with type 2 diabetes
Predicting and elucidating the etiology of fatty liver disease
Migraine polygenic risk score associates with efficacy of migraine-specific drugs
Metabolite ratios as potential biomarkers for type 2 diabetes: a DIRECT study
Integrative network analysis highlights biological processes underlying GLP-1 stimulated insulin secretion: A DIRECT study
Individualization of treatments with drugs metabolized by CES1: combining genetics and metabolomics
Annotation of loci from genome-wide association studies using tissue-specific quantitative interaction proteomics
Improving data and knowledge management to better integrate health care and research
An Aboriginal Australian Genome Reveals Separate Human Dispersals into Asia