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

  • Published:2022-10 Issue:10 Volume:2 Page:100180
  • ISSN:2666-979X
  • Container-title:Cell Genomics
  • language:en
  • Short-container-title:Cell Genomics

Author:

Bhattacharya ArjunORCID,Hirbo Jibril B.,Zhou Dan,Zhou Wei,Zheng Jie,Kanai Masahiro,Pasaniuc Bogdan,Gamazon Eric R.,Cox Nancy J.

Publisher

Elsevier BV

Reference78 articles.

1. Personalized medicine and the power of electronic health records;Abul-Husn;Cell,2019

2. National population-based biobanks for genetic research;Swede;Genet. Med.,2007

3. Global Biobank Meta-analysis Initiative: powering genetic discovery across human diseases;Zhou;medRxiv,2021

4. The post-GWAS era: from association to function;Gallagher;Am. J. Hum. Genet.,2018

5. The importance of cohort studies in the post-GWAS era;Wijmenga;Nat. Genet.,2018
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