The Post Genome-Wide Association Initiative has recently launched a nice initiative: they are writing a perspective on how to functionally characterize the variants identified by a GWAS, and they made the draft of their paper publicly editable, so anybody interested is able to contribute or review it before the publication.
Over the last years, many GWAS have identified variants involved in cancer or other congenital diseases; however, too frequently these GWAS are not followed by a proper analysis to characterize the mechanism that relate the variant with the disease (the etiology), or to identify the real causal variant.
So, the paper will be a perspective to describe methods and best practices to characterize the functions of a SNP or variant identified by a GWAS.
The paper is well written and is already most complete, but I believe it lacks a chapter on the characterization of the function of a variant using computational tools. For example, a gene prediction tool can be used to predict whether the variant identified lays into a non-annotated gene or pseudogene, and other software can predict whether it is in a regulatory position; or, in the case that a variant falls into a coding sequence, there are many tools to determine its effect on the structure of the protein.
So, you can find an editable version of the draft into the WikiGenes page. However, I propose you to do the following: write here, in Biostar, about any computational method that you know of or that you could apply, so we will be able to vote the best contributions and discuss them here, avoiding confusion in the wiki. The deadline for the manuscript is December 20th, so we will choose the best answers a week before that, and put the in the draft. The authorship will be recognized, and the posts on biostar will be always stay here to testify your contribution. Edit: I meant that your authorship on the wiki will be recognized, and we will tell the original authors of the draft to look at this question in biostar. However, whether to include you or anybody as authors of the paper is a decision that depends from the corresponding author.