To overcome the lack of power inherent in GWASs and to decipher the common polygenic background of complex disease, novel methods (e.g., statistical noise reduction or gene ontology enrichment) have emerged that make it possible to prioritize results that did not reach statistical significance in autism studies (Anney et al., 2011 ; Hussman et al., 2011 ).
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A scoring strategy combining statistics and functional genomics supports a possible role for common polygenic variation in autism.
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