Using Mixed Models in GWA studies

Author: Y. Aulchenko
Submitted: Friday 6th of July 2012 10:06:36 AM
Submitted by: egf
Language: English
Content type: Learning resource
Educational levels: qc2, qc3

Abstract

Current biomedical research is experiencing a large boost in the amount of data generated. Individual genomes are being characterized at increased level of details using single nucleotide polymorphism (SNP) arrays, and, more recently, exome and whole-genome re-sequencing (WGRS). At the same time, technologies for high-throughput characterization of tens of thousands of molecular “omics” phenotypes in thousands of people are becoming increasingly affordable. The genetic analysis of highly dimensional, inter-correlated "omics" data is challenging both methodologically and computationally. In this talk, I will review problems arising in genetic analysis of "omics" data and will describe possible solutions of some of these problems.

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abstract mixed_models_web_5221.pdf

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Citation

Y. Aulchenko. Using Mixed Models in GWA studies. EUROGENE portal. July 2012. online: http://eurogene.open.ac.uk/content/using-mixed-models-gwa-studies

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