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Chunk #23 — Materials and methods — In silico functional follow up of associated SNVs

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Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci.
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the sentinel eQTL for a given tissue/transcript combination were considered significant. The genes implicated by these eQTL databases and/or coding changes (e.g., missense and nonsense SNVs) were put into ConsensusPathDB [44] to identify whether these genes were over-represented in any known biological pathways. Replicated missense SNVs were also put into PolyPhen-2 [45] and FATHMM (unweighted) [46] to obtain variant effect prediction.