Author

Tejaswi V. S. Badam

Linköping UniversityORCID 0000-0002-6719-4861Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

David Martínez-EnguitaiD· 1 shared Hendrik Arnold de WeerdiD· 1 shared Ingrid Skelton KockumiD· 1 shared Lars S. AlfredssoniD· 1 shared Maja JagodiciD· 1 shared Mika GustafssoniD· 1 shared Tomas P OlssoniD· 1 shared Zelmina Lubovac-PilaviD· 1 shared

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2020-2020 · peak 1/yr

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David Martínez-EnguitaORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 26, 2020

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

Tejaswi V. S. Badam, Hendrik Arnold de Weerd, David Martínez-Enguita…·Mika Gustafsson

The paper benchmarks disease module identification methods using GWAS and validates a multi-omic module strongly associated with multiple sclerosis risk factors.

3 citations

humanGWAS summary statistics

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