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Adriana M. Hung

Researcher at Vanderbilt University Medical Center

Publications -  168
Citations -  6052

Adriana M. Hung is an academic researcher from Vanderbilt University Medical Center. The author has contributed to research in topics: Medicine & Kidney disease. The author has an hindex of 34, co-authored 123 publications receiving 3763 citations. Previous affiliations of Adriana M. Hung include Vanderbilt University & University of California, San Francisco.

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Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits.

Evangelos Evangelou, +341 more
- 17 Sep 2018 - 
TL;DR: In this article, the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry was conducted.
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Trans-ethnic association study of blood pressure determinants in over 750,000 individuals.

Ayush Giri, +117 more
- 01 Jan 2019 - 
TL;DR: Analysis of blood pressure data from the Million Veteran Program trans-ethnic cohort identifies common and rare variants, and genetically predicted gene expression across multiple tissues associated with systolic, diastolic and pulse pressure in over 775,000 individuals.
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Comparative Effectiveness of Sulfonylurea and Metformin Monotherapy on Cardiovascular Events in Type 2 Diabetes Mellitus: A Cohort Study

TL;DR: Use of sulfonylureas compared with metformin for initial treatment of diabetes was associated with an increased hazard of CVD events or death.

A catalog of genetic loci associated with kidney function from analyses of a million individuals

Matthias Wuttke, +327 more
TL;DR: Trans-ancestry meta-analysis of estimated glomerular filtration rate (eGFR) from 1,046,070 individuals identifies 264 associated loci, providing a resource of molecular targets for translational research of chronic kidney disease.
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Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels

Adrienne Tin, +251 more
- 01 Oct 2019 - 
TL;DR: A trans-ancestry genome-wide association study of serum urate levels identifies 183 loci that improve the prediction of gout in an independent cohort of 334,880 individuals, and implicates the kidney and liver as key target organs and prioritize potential causal genes.