Pathway and network-based analysis of genome-wide association studies in multiple sclerosis.

In this paper, we aim to show that while individual modest genetic effects are difficult to ascertain, they can be collectively identified by combining nominally significant evidence of genetic association with current knowledge of biochemical pathways.

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Notably, these two (partly overlapping) modules are composed exclusively of HLA genes, in which association with the disease is highly significant.

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The identification of the latter two modules in MS suggests for the first time that modestly significant associations in genes involved in neural pathways may contribute to the overall susceptibility to this disease.

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