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Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque

Joshua C. Bis, +92 more
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The article was published on 2011-01-01 and is currently open access. It has received 186 citations till now. The article focuses on the topics: Intima-media thickness.

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Large-scale association analysis identifies new risk loci for coronary artery disease

Panos Deloukas, +204 more
- 01 Jan 2013 - 
TL;DR: An association analysis in CAD cases and controls identifies 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants strongly associated with CAD at a 5% false discovery rate (FDR).
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Rare and common variants: twenty arguments

TL;DR: 20 arguments for and against each of these models of the genetic basis of complex traits are reviewed and it is concluded that both classes of effect can be readily reconciled.
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Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

TL;DR: A multiancestry genome-wide-association meta-analysis in 521,612 individuals and discovered 22 new stroke risk loci and eleven new susceptibility loci indicate mechanisms not previously implicated in stroke pathophysiology, with prioritization of risk variants and genes accomplished through bioinformatics analyses using extensive functional datasets.
References
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PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses

TL;DR: This work introduces PLINK, an open-source C/C++ WGAS tool set, and describes the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation, which focuses on the estimation and use of identity- by-state and identity/descent information in the context of population-based whole-genome studies.
Journal ArticleDOI

Principal components analysis corrects for stratification in genome-wide association studies

TL;DR: This work describes a method that enables explicit detection and correction of population stratification on a genome-wide scale and uses principal components analysis to explicitly model ancestry differences between cases and controls.
Related Papers (5)

GWAS and colocalization analyses implicate carotid intima-media thickness and carotid plaque loci in cardiovascular outcomes

Nora Franceschini, +170 more