{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Hoppmann AS"],"funding":["Bundesministerium für Bildung und Forschung","Deutsche Forschungsgemeinschaft","Seventh Framework Programme"],"pagination":["e0162466"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5017755"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["11(9)"],"pubmed_abstract":["Genome-wide association studies (GWAS) evaluate associations between genetic variants and a trait or disease of interest free of prior biological hypotheses. GWAS require stringent correction for multiple testing, with genome-wide significance typically defined as association p-value <5*10-8. This study presents a new tool that uses external information about genes to prioritize SNP associations (GenToS). For a given list of candidate genes, GenToS calculates an appropriate statistical significance threshold and then searches for trait-associated variants in summary statistics from human GWAS. It thereby allows for identifying trait-associated genetic variants that do not meet genome-wide significance. The program additionally tests for enrichment of significant candidate gene associations"],"journal":["PloS one"],"pubmed_title":["GenToS: Use of Orthologous Gene Information to Prioritize Signals from Human GWAS."],"pmcid":["PMC5017755"],"funding_grant_id":["SFB 1140","SFB 992","KO 3598/3-1","602300","031 A538A","FACE"],"pubmed_authors":["Lausch E","Kottgen A","Schlosser P","Backofen R","Hoppmann AS"],"additional_accession":[]},"is_claimable":false,"name":"GenToS: Use of Orthologous Gene Information to Prioritize Signals from Human GWAS.","description":"Genome-wide association studies (GWAS) evaluate associations between genetic variants and a trait or disease of interest free of prior biological hypotheses. GWAS require stringent correction for multiple testing, with genome-wide significance typically defined as association p-value <5*10-8. This study presents a new tool that uses external information about genes to prioritize SNP associations (GenToS). For a given list of candidate genes, GenToS calculates an appropriate statistical significance threshold and then searches for trait-associated variants in summary statistics from human GWAS. It thereby allows for identifying trait-associated genetic variants that do not meet genome-wide significance. The program additionally tests for enrichment of significant candidate gene associations","dates":{"release":"2016-01-01T00:00:00Z","publication":"2016","modification":"2026-05-04T15:07:23.823Z","creation":"2019-03-26T22:48:06Z"},"accession":"S-EPMC5017755","cross_references":{"pubmed":["27612175"],"doi":["10.1371/journal.pone.0162466"]}}