دورية أكاديمية
Multi-ancestry meta-analysis of host genetic susceptibility to tuberculosis identifies shared genetic architecture
العنوان: | Multi-ancestry meta-analysis of host genetic susceptibility to tuberculosis identifies shared genetic architecture |
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المؤلفون: | Haiko Schurz, Vivek Naranbhai, Tom A Yates, James J Gilchrist, Tom Parks, Peter J Dodd, Marlo Möller, Eileen G Hoal, Andrew P Morris, Adrian VS Hill, International Tuberculosis Host Genetics Consortium |
المصدر: | eLife, Vol 13 (2024) |
بيانات النشر: | eLife Sciences Publications Ltd, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Medicine LCC:Science LCC:Biology (General) |
مصطلحات موضوعية: | tuberculosis, GWAS, multi-ancestry, meta-analysis, HLA, Medicine, Science, Biology (General), QH301-705.5 |
الوصف: | The heritability of susceptibility to tuberculosis (TB) disease has been well recognized. Over 100 genes have been studied as candidates for TB susceptibility, and several variants were identified by genome-wide association studies (GWAS), but few replicate. We established the International Tuberculosis Host Genetics Consortium to perform a multi-ancestry meta-analysis of GWAS, including 14,153 cases and 19,536 controls of African, Asian, and European ancestry. Our analyses demonstrate a substantial degree of heritability (pooled polygenic h2 = 26.3%, 95% CI 23.7–29.0%) for susceptibility to TB that is shared across ancestries, highlighting an important host genetic influence on disease. We identified one global host genetic correlate for TB at genome-wide significance (p |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2050-084X |
Relation: | https://elifesciences.org/articles/84394; https://doaj.org/toc/2050-084X |
DOI: | 10.7554/eLife.84394 |
URL الوصول: | https://doaj.org/article/00c3c9bd8aaa466cb16976111e168c78 |
رقم الأكسشن: | edsdoj.00c3c9bd8aaa466cb16976111e168c78 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 2050084X |
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DOI: | 10.7554/eLife.84394 |