{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["24(1)"],"submitter":["Asif M"],"pubmed_abstract":["<h4>Background</h4>Complex diseases such as neurodevelopmental disorders (NDDs) exhibit multiple etiologies. The multi-etiological nature of complex-diseases emerges from distinct but functionally similar group of genes. Different diseases sharing genes of such groups show related clinical outcomes that further restrict our understanding of disease mechanisms, thus, limiting the applications of personalized medicine approaches to complex genetic disorders.<h4>Results</h4>Here, we present an interactive and user-friendly application, called DGH-GO. DGH-GO allows biologists to dissect the genetic heterogeneity of complex diseases by stratifying the putative disease-causing genes into clusters that may contribute to distinct disease outcome development. It can also be used to study the shared"],"journal":["BMC bioinformatics"],"pagination":["171"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10134522"],"repository":["biostudies-literature"],"pubmed_title":["DGH-GO: dissecting the genetic heterogeneity of complex diseases using gene ontology."],"pmcid":["PMC10134522"],"pubmed_authors":["Lamurias A","Kausar S","Martiniano HFMC","Asif M","Couto FM"],"additional_accession":[]},"is_claimable":false,"name":"DGH-GO: dissecting the genetic heterogeneity of complex diseases using gene ontology.","description":"<h4>Background</h4>Complex diseases such as neurodevelopmental disorders (NDDs) exhibit multiple etiologies. The multi-etiological nature of complex-diseases emerges from distinct but functionally similar group of genes. Different diseases sharing genes of such groups show related clinical outcomes that further restrict our understanding of disease mechanisms, thus, limiting the applications of personalized medicine approaches to complex genetic disorders.<h4>Results</h4>Here, we present an interactive and user-friendly application, called DGH-GO. DGH-GO allows biologists to dissect the genetic heterogeneity of complex diseases by stratifying the putative disease-causing genes into clusters that may contribute to distinct disease outcome development. It can also be used to study the shared","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Apr","modification":"2025-05-29T19:43:13.802Z","creation":"2025-04-06T00:43:34.514Z"},"accession":"S-EPMC10134522","cross_references":{"pubmed":["37101154"],"doi":["10.1186/s12859-023-05290-4"]}}