Multi-ancestry meta-analysis of host genetic susceptibility to tuberculosis identifies shared genetic architecture

Schurz, H. orcid.org/0000-0002-0009-3409, Naranbhai, V., Yates, T.A. orcid.org/0000-0002-6081-1767 et al. (7 more authors) (2024) Multi-ancestry meta-analysis of host genetic susceptibility to tuberculosis identifies shared genetic architecture. eLife, 13. e84394. ISSN 2050-084X

Abstract

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Copyright, Publisher and Additional Information: © 2024 Schurz et al. This article is distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use and redistribution provided that the original author and source are credited.
Keywords: GWAS; HLA; genetics; genomics; human; meta-analysis; multi-ancestry; tuberculosis; Humans; Genetic Predisposition to Disease; Genome-Wide Association Study; Polymorphism, Single Nucleotide; Tuberculosis; Racial Groups
Dates:
  • Accepted: 23 November 2023
  • Published (online): 15 January 2024
  • Published: 15 January 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Funding Information:
FunderGrant number
MEDICAL RESEARCH COUNCILMR/P022081/1
Depositing User: Symplectic Sheffield
Date Deposited: 22 Jan 2024 14:42
Last Modified: 22 Jan 2024 14:42
Status: Published
Publisher: eLife Sciences Publications, Ltd
Refereed: Yes
Identification Number: https://doi.org/10.7554/elife.84394
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