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


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.


Learning packages

This resource is part of the following learning package:

Similar resources

Loading ...


Original version - English

abstract mixed_models_web_5221.pdf

IMS Metadata


Y. Aulchenko. Using Mixed Models in GWA studies. EUROGENE portal. July 2012. online:



Terms of use

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License. Read more.