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Adrienne Tin

Researcher at University of Mississippi Medical Center

Publications -  126
Citations -  8136

Adrienne Tin is an academic researcher from University of Mississippi Medical Center. The author has contributed to research in topics: Kidney disease & Genome-wide association study. The author has an hindex of 34, co-authored 104 publications receiving 6473 citations. Previous affiliations of Adrienne Tin include Johns Hopkins University & Johns Hopkins University School of Medicine.

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Modulation of genetic associations with serum urate levels by body-mass-index in humans

Jennifer E. Huffman, +120 more
- 26 Mar 2015 - 
TL;DR: Interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, and regression-type analyses in a non BMI-stratified overall sample suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum.
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Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

Anna Köttgen, +250 more
- 01 Feb 2013 - 
TL;DR: New candidate genes for serum urate concentration highlight the importance of metabolic control of urate production and excretion, which may have implications for the treatment and prevention of gout.

Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

Anna Koettgen, +224 more
TL;DR: In this article, the authors identified and replicated 28 genome-wide significant loci in association with serum urate concentrations (18 new regions in or near TRIM46, INHBB, SFMBT1, TMEM171, VEGFA, BAZ1B, PRKAG2, STC1, HNF4G, A1CF, ATXN2, UBE2Q2, IGF1R, NFAT5, MAF, HLF, ACVR1B-ACVRL1 and B3GNT4).
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Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Cristian Pattaro, +735 more
TL;DR: A meta-analysis of genome-wide association studies for estimated glomerular filtration rate suggests that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.
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Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Anubha Mahajan, +289 more
- 09 Apr 2018 - 
TL;DR: Trans-ethnic analyses of exome array data identify new risk loci for type 2 diabetes and fine-mapping analyses using genome-wide association data show that the index coding variants represent the likely causal variants at only a subset of these loci.