01878nas a2200289   4500008004100000022001400041245008700055210006900142260000900211300001100220490000600231520100600237100002701243700002001270700002801290700001901318700002701337700002201364700001801386700002001404700002001424700001801444700002101462700002101483700002001504856006401524       2012                        eng d  a1748-567300aSelect your SNPs (SYSNPs): a web tool for automatic and massive selection of SNPs.0 aSelect your SNPs SYSNPs a web tool for automatic and massive sel  c2012  a324-340 v63 aAssociation studies are the choice approach in the discovery of the genomic basis of complex traits. To carry out such analysis, researchers frequently need to (1) select optimally informative sets of Single Nucleotide Polymorphisms (SNPs) in candidate regions and (2) annotate the results of associations found by means of genome-wide SNP arrays. These are complex tasks, since many criteria have to be considered, including the SNPs’ functional properties, technological information and haplotype frequencies in given populations. SYSNPs implements algorithms that allow for efficient and simultaneous consideration of all the relevant criteria to obtain sets of SNPs that properly cover arbitrarily large lists of genes or genomic regions. Complementarily, SYSNPs allows for comprehensive functional annotation of SNPs linked to any given marker SNP. SYSNPs dramatically reduces the effort needed for SNP selection from days of searching various databases to a few minutes using a simple browser.1 aLorente-Galdos, Belén1 aMedina, Ignacio1 aMorcillo-Suarez, Carlos1 aHeredia, Txema1 aCarreño-Torres, Angel1 aSangrós, Ricardo1 aAlegre, Josep1 aPita, Guillermo1 aVellalta, Gemma1 aMalats, Nuria1 aPisano, David, G1 aDopazo, Joaquín1 aNavarro, Arcadi  uhttp://inderscience.metapress.com/content/f76740x8071u513n/01456nas a2200253   4500008004100000245009300041210006900134260000900203300000700212490000700219520063100226100002300857700001500880700001900895700002300914700002800937700001500965700001700980700002100997700002401018700002001042700002001062856012001082       2011                        eng d00aRecent human evolution has shaped geographical differences in susceptibility to disease.0 aRecent human evolution has shaped geographical differences in su  c2011  a550 v123 a<p>Searching for associations between genetic variants and complex diseases has been a very active area of research for over two decades. More than 51,000 potential associations have been studied and published, a figure that keeps increasing, especially with the recent explosion of array-based Genome-Wide Association Studies. Even if the number of true associations described so far is high, many of the putative risk variants detected so far have failed to be consistently replicated and are widely considered false positives. Here, we focus on the world-wide patterns of replicability of published association studies.</p>1 aMarigorta, Urko, M1 aLao, Oscar1 aCasals, Ferran1 aCalafell, Francesc1 aMorcillo-Suarez, Carlos1 aFaria, Rui1 aBosch, Elena1 aSerra, François1 aBertranpetit, Jaume1 aDopazo, Hernán1 aNavarro, Arcadi  uhttp://clinbioinfosspa.es/content/recent-human-evolution-has-shaped-geographical-differences-susceptibility-disease