Author

Maria Ban

Primary ORCID profile (0009-0007-8519-3276 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Maria BaniD2 papers · University of Cambridge

Biology Disciplines

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Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:fine-mapping· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:Bayesian inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Chris WallaceiD· 2 shared Hui Guo· 2 shared Neil M WalkeriD· 2 shared Anne Barton· 1 shared Antony J Cutler· 1 shared Arcadio Rubio Garcia· 1 shared Deborah J Smyth· 1 shared Ellen Schofield· 1 shared

Activity by Year

2015-2015 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenetics

Chris WallaceORCID

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2 papers

Recent·Most cited

Dissection of a complex disease susceptibility region using a Bayesian stochastic search approach to fine mapping

Chris Wallace, Antony J Cutler, Nikolas Pontikos, Marcin L Pekalski, Oliver S Burren, Jason D Cooper, Arcadio Rubio Garcia, Ricardo C Ferreira, Hui Guo, Neil M Walker, Deborah J Smyth, Stephen S Rich, Suna Onengut-Gumuscu, Stephen S Sawcer, Maria Ban, , Linda Wicker

This study uses a Bayesian stochastic search method to fine map genetic variants in the IL-2RA region associated with multiple sclerosis and type 1 diabetes, identifying shared causal variants.

PLOS Genetics · Jun 24, 2015Peer-reviewedGenetics

Statistical Colocalization of Genetic Risk Variants for Related Autoimmune Diseases in the Context of Common Controls

Mary D Fortune, Hui Guo, Oliver Burren, Ellen Schofield, Neil M Walker, Maria Ban, Stephen J Sawcer, John Bowes, Jane Worthington, Anne Barton, Steve Eyre, John A Todd, Chris Wallace

The paper identifies shared and distinct genetic risk variants across four autoimmune diseases using colocalization methods with shared control data, revealing novel associations and complex patterns.

Nature Genetics · Jun 8, 2015Peer-reviewedGenomics