A tool for detecting complementary single nucleotide polymorphism pairs in genome-wide association studies for epistasis testing

buir.contributor.authorÇaylak, Gizem
buir.contributor.authorÇiçek, Ercüment
buir.contributor.orcidÇaylak, Gizem|0000-0001-9703-6912
buir.contributor.orcidÇiçek, Ercüment|0000-0001-8613-6619
dc.citation.epage380en_US
dc.citation.issueNumber4en_US
dc.citation.spage378en_US
dc.citation.volumeNumber28en_US
dc.contributor.authorÇaylak, Gizem
dc.contributor.authorTastan, O.
dc.contributor.authorÇiçek, Ercüment
dc.date.accessioned2022-02-10T11:32:20Z
dc.date.available2022-02-10T11:32:20Z
dc.date.issued2021-04-20
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractDetecting interacting loci pairs has been instrumental to understand disease etiology when single locus associations do not fully account for the underlying heritability. However, the number of loci to test is prohibitively large. Epistasis test prioritization algorithms rank likely epistatic single nucleotide polymorphism (SNP) pairs to limit the number of statistical tests. Potpourri detects epistatic SNP pairs by diversifying the selected SNPs' genomic regions and investigating their co-occurrence patterns over the case cohort. It can also input and further prioritize SNPs in regulatory or coding regions. The program identifies and returns a list of prioritized SNP pairs for epistasis testing. This article describes how to use the program and the details of the input and output data.en_US
dc.description.provenanceSubmitted by Burcu Böke (tburcu@bilkent.edu.tr) on 2022-02-10T11:32:20Z No. of bitstreams: 1 A_tool_for_detecting_complementary_single_nucleotide_polymorphism_pairs_in_genome-wide_association_studies_for_epistasis_testing.pdf: 52161 bytes, checksum: 954bf6c0485b9638a3a1c5e2169f091c (MD5)en
dc.description.provenanceMade available in DSpace on 2022-02-10T11:32:20Z (GMT). No. of bitstreams: 1 A_tool_for_detecting_complementary_single_nucleotide_polymorphism_pairs_in_genome-wide_association_studies_for_epistasis_testing.pdf: 52161 bytes, checksum: 954bf6c0485b9638a3a1c5e2169f091c (MD5) Previous issue date: 2021-04-20en
dc.identifier.doi10.1089/cmb.2020.0430en_US
dc.identifier.eissn1557-8666
dc.identifier.issn1066-5277
dc.identifier.urihttp://hdl.handle.net/11693/77225
dc.language.isoEnglishen_US
dc.publisherMary Ann Liebert, Inc. Publishersen_US
dc.relation.isversionofhttps://doi.org/10.1089/cmb.2020.0430en_US
dc.source.titleJournal of Computational Biologyen_US
dc.subjectComplementationen_US
dc.subjectDiversificationen_US
dc.subjectEpistasis test prioritizationen_US
dc.subjectPopulation coveren_US
dc.subjectSubmodular optimizationen_US
dc.titleA tool for detecting complementary single nucleotide polymorphism pairs in genome-wide association studies for epistasis testingen_US
dc.typeArticleen_US

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