Author

Jana Nano

Erasmus MCORCID 0000-0003-4731-5491Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:GWAS summary statistics· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:fine-mapping· 2 Research Focus:GWAS / association mapping· 2

Frequent Co-Authors

Bram Peter PrinsiD· 3 shared Chloé SarnowskiiD· 3 shared Christian GiegeriD· 3 shared Daniel TaliuniD· 3 shared Ivan BrandslundiD· 3 shared James P. CookiD· 3 shared Lawrence F. BielakiD· 3 shared Matthias WuttkeiD· 3 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetic & Genomic Medicine

Bram Peter PrinsORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineYearbook of pediatric endocrinologyPeer-reviewedSep 8, 2023

Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications

Suzuki Ken, Konstantinos Hatzikotoulas, Lorraine Southam…·H. Janaka de Silva

This study identifies 1,289 genetic signals for type 2 diabetes in 2.5 million individuals, revealing distinct clusters linked to vascular complications and highlighting ancestry-specific genetic risk factors.

31 citationstop 3%

humanGWAS summary statistics

𝕏 PostBluesky

Genetic & Genomic MedicineDiscovery Research Portal (University of Dundee)Peer-reviewedJan 1, 2022

Trans-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation

Anubha Mahajan, Cassandra Nichole Spracklen, Weihua Zhang…·Mary Cushman

This study identifies 277 T2D loci using diverse populations and improves fine-mapping to assess causal genes and mechanisms, enhancing clinical translation.

20 citations

humanGWAS summary statistics

𝕏 PostBluesky

GenomicsbioRxivPreprintJan 9, 2018

Fine-mapping of an expanded set of type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

Anubha Mahajan, Daniel Taliun, Matthias Thurner…·Claudia Langenberg

This study fine-maps type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps, identifying 73 variants with >80% posterior probability of association.

37 citations

humanGWAS summary statistics

𝕏 PostBluesky