A tool for detecting complementary single nucleotide polymorphism pairs in genome-wide association studies for epistasis testing
buir.contributor.author | Çaylak, Gizem | |
buir.contributor.author | Çiçek, Ercüment | |
buir.contributor.orcid | Çaylak, Gizem|0000-0001-9703-6912 | |
buir.contributor.orcid | Çiçek, Ercüment|0000-0001-8613-6619 | |
dc.citation.epage | 380 | en_US |
dc.citation.issueNumber | 4 | en_US |
dc.citation.spage | 378 | en_US |
dc.citation.volumeNumber | 28 | en_US |
dc.contributor.author | Çaylak, Gizem | |
dc.contributor.author | Tastan, O. | |
dc.contributor.author | Çiçek, Ercüment | |
dc.date.accessioned | 2022-02-10T11:32:20Z | |
dc.date.available | 2022-02-10T11:32:20Z | |
dc.date.issued | 2021-04-20 | |
dc.department | Department of Computer Engineering | en_US |
dc.description.abstract | Detecting 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.provenance | Submitted 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.provenance | Made 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: 2021-04-20 | en |
dc.identifier.doi | 10.1089/cmb.2020.0430 | en_US |
dc.identifier.eissn | 1557-8666 | |
dc.identifier.issn | 1066-5277 | |
dc.identifier.uri | http://hdl.handle.net/11693/77225 | |
dc.language.iso | English | en_US |
dc.publisher | Mary Ann Liebert, Inc. Publishers | en_US |
dc.relation.isversionof | https://doi.org/10.1089/cmb.2020.0430 | en_US |
dc.source.title | Journal of Computational Biology | en_US |
dc.subject | Complementation | en_US |
dc.subject | Diversification | en_US |
dc.subject | Epistasis test prioritization | en_US |
dc.subject | Population cover | en_US |
dc.subject | Submodular optimization | en_US |
dc.title | A tool for detecting complementary single nucleotide polymorphism pairs in genome-wide association studies for epistasis testing | en_US |
dc.type | Article | en_US |
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