A validated generally applicable approach using the systematic assessment of disease modules by GWAS reveals a multi-omic module strongly associated with risk factors in multiple sclerosis

Abstract Background There exist few, if any, practical guidelines for predictive and falsifiable multi-omic data integration that systematically integrate existing knowledge. Disease modules are popular concepts for interpreting genome-wide studies in medicine but have so far not been systematically...

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Ngā kaituhi matua:	Tejaswi V. S. Badam, Hendrik A. de Weerd, David Martínez-Enguita, Tomas Olsson, Lars Alfredsson, Ingrid Kockum, Maja Jagodic, Zelmina Lubovac-Pilav, Mika Gustafsson
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	BMC 2021-08-01
Rangatū:	BMC Genomics
Ngā marau:	Benchmark Multi-omics Network modules Multiple sclerosis Risk factors Disease modules
Urunga tuihono:	https://doi.org/10.1186/s12864-021-07935-1
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!