Author

Hidetoshi Kitajima

Centre for Human GeneticsORCID 0000-0001-6545-1177Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:fine-mapping· 2 Assay:GWAS summary statistics· 2 Assay:whole-exome sequencing· 2 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Ivan BrandslundiD· 3 shared Jennifer A. BrodyiD· 3 shared Lawrence F. BielakiD· 3 shared Niels GrarupiD· 3 shared Ping AniD· 3 shared Richard A. Jensen· 3 shared Xiuqing GuoiD· 3 shared Albert V. SmithiD· 2 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersGenetics

Ivan BrandslundORCID

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3 papers

Recent·Most cited

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

GeneticsbioRxivPreprintOct 3, 2019

Tissue-Specific Alteration of Metabolic Pathways Influences Glycemic Regulation

Natasha Hui Jin Ng, Sara M. Willems, Juan Fernandez…·Abbas Dehghan

The paper identifies genetic variants and transcripts associated with glycemic traits by analyzing exome-array data from 144,600 individuals, highlighting tissue-specific roles in glucose regulation.

5 citations

humanwhole-exome sequencing

𝕏 PostBluesky

GeneticsNature GeneticsPeer-reviewedApr 1, 2018

Refining The Accuracy Of Validated Target Identification Through Coding Variant Fine-Mapping In Type 2 Diabetes

Anubha Mahajan, Jennifer Wessel, Sara M. Willems…·Jun Liu

This study identifies 16 causal coding variants in type 2 diabetes using fine-mapping and shows that one third of signals are false leads.

441 citationstop 1%

humanwhole-exome sequencing

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