Author

the Global Biobank Meta-analysis Initiative

University of California, Los Angeles

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Arjun BhattacharyaiD· 1 shared Bogdan PaşaniuciD· 1 shared Dan ZhouiD· 1 shared Eric R. GamazoniD· 1 shared Jibril B HirboiD· 1 shared Jie ZhengiD· 1 shared Masahiro KanaiiD· 1 shared Nancy Jean CoxiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Arjun BhattacharyaORCID

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1 paper

Recent·Most cited

Genetic & Genomic MedicineCell GenomicsPeer-reviewedOct 1, 2022

Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: lessons from the Global Biobank Meta-analysis Initiative

Arjun Bhattacharya, Jibril B Hirbo, Dan Zhou…·Nancy Jean Cox

The paper outlines best practices for conducting multi-ancestry transcriptome-wide association studies (TWAS) using the Global Biobank Meta-analysis Initiative data, addressing challenges in ancestry and tissue specificity.

36 citationstop 4%

humanGWAS summary statistics

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