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Jose C. Florez

Researcher at Harvard University

Publications -  414
Citations -  58686

Jose C. Florez is an academic researcher from Harvard University. The author has contributed to research in topics: Type 2 diabetes & Diabetes mellitus. The author has an hindex of 87, co-authored 357 publications receiving 50750 citations. Previous affiliations of Jose C. Florez include George Washington University & University of California, Davis.

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Genetic heritability as a tool to evaluate the precision of 24-hour recall dietary questionnaire variables in UK Biobank

TL;DR: In this article , the authors compared the heritability of crude averages with empirical Bayes weighted averages for 302 correlated dietary variables from multiple 24-hour recall questionnaires in 177 K individuals in UK Biobank and found that the more heritable versions of each dietary variable lead to stronger underlying statistical associations with specific genetic loci.
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Editorial overview: Molecular and genetic basis of [metabolic] disease: Genes, glucose, glycerol and girth: metabolism in our DNA.

TL;DR: The application of agnostic gene discovery efforts has facilitated the identification of mutations in genes newly linked to diseases such as congenital forms of diabetes, monogenic diabetes, and syndromes of insulin resistance, lending new insights regarding pathophysiological processes, and providing human null models of more common complex forms of disease.
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On the Verge of Precision Medicine in Diabetes

Josephine H. Li, +1 more
- 01 Sep 2022 - 
TL;DR: How genomic discovery has contributed to unraveling the heterogeneity in T2D is summarized, relevant discoveries in the pharmacogenetics of five commonly prescribed glucose-lowering agents are reviewed, and evidence supporting how pharmacogenetic principles can be leveraged to advance precision medicine is presented.
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73-OR: Multiancestry Genetic Clustering of Type 2 Diabetes Loci Highlights the Contribution of Non-European Variants to Disease Heterogeneity

TL;DR: In this paper , a semi-automated Bayesian non-negative matrix factorization (bNMF) pipeline was used to generate new ancestry-specific clusters in European (EUR, 390 SNVs), East Asian (EAS, 326 SNVs) and African (AFR, 172 SNVs).