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Yurii S. Aulchenko

Researcher at Novosibirsk State University

Publications -  243
Citations -  45093

Yurii S. Aulchenko is an academic researcher from Novosibirsk State University. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 84, co-authored 229 publications receiving 41497 citations. Previous affiliations of Yurii S. Aulchenko include Russian Academy of Sciences & Erasmus University Rotterdam.

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Biological, clinical and population relevance of 95 loci for blood lipids

Tanya M. Teslovich, +218 more
- 05 Aug 2010 - 
TL;DR: The results identify several novel loci associated with plasma lipids that are also associated with CAD and provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.
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New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

Josée Dupuis, +339 more
- 01 Feb 2010 - 
TL;DR: It is demonstrated that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.
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A genome-wide association search for type 2 diabetes genes in African Americans.

Nichole D. Palmer, +384 more
- 04 Jan 2012 - 
TL;DR: It is suggested that multiple loci underlie T2DM susceptibility in the African-American population and that these loci are distinct from those identified in other ethnic populations.
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Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

Georg Ehret, +391 more
- 06 Oct 2011 - 
TL;DR: A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function, and these findings suggest potential novel therapeutic pathways for cardiovascular disease prevention.
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GenABEL: an R library for genome-wide association analysis

TL;DR: An R library for genome-wide association (GWA) analysis that implements effective storage and handling of GWA data, fast procedures for genetic data quality control, testing of association of single nucleotide polymorphisms with binary or quantitative traits, visualization of results and also provides easy interfaces to standard statistical and graphical procedures.