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Michael A. Province

Researcher at Washington University in St. Louis

Publications -  409
Citations -  40871

Michael A. Province is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 79, co-authored 396 publications receiving 37334 citations. Previous affiliations of Michael A. Province include Jewish Hospital & Harvard University.

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A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

Alisa K. Manning, +243 more
- 01 Jun 2012 - 
TL;DR: Six previously unknown loci associated with fasting insulin at P < 5 × 10−8 in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals are presented.
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New loci associated with kidney function and chronic kidney disease

Anna Köttgen, +137 more
- 01 May 2010 - 
TL;DR: The CKDGen consortium performed a meta-analysis of genome-wide association data in 67,093 individuals of European ancestry to identify new susceptibility loci for reduced renal function as estimated by serum creatinine, serum cystatin c and CKD.
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Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

Robert A. Scott, +216 more
- 01 Sep 2012 - 
TL;DR: Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations and further functional analysis of these newly discovered loci will further improve the understanding of glycemic control.
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Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Sonja I. Berndt, +385 more
- 01 May 2013 - 
TL;DR: A genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry finds a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.