Improved methods for multi-trait fine mapping of pleiotropic risk loci

Abstract

MOTIVATION Genome-wide association studies (GWAS) have identified thousands of regions in the genome that contain genetic variants that increase risk for complex traits and diseases. However, the variants uncovered in GWAS are typically not biologically causal, but rather, correlated to the true causal variant through linkage disequilibrium (LD). To discern… (More)
DOI: 10.1093/bioinformatics/btw615

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Cite this paper

@article{Kichaev2017ImprovedMF, title={Improved methods for multi-trait fine mapping of pleiotropic risk loci}, author={Gleb Kichaev and Megan Roytman and Ruth Johnson and Eleazar Eskin and Sara Lindstr{\"o}m and Peter Kraft and Bogdan Pasaniuc}, journal={Bioinformatics}, year={2017}, volume={33 2}, pages={248-255} }