High-throughput framework for genetic analyses of adverse drug reactions using electronic health records

Understanding the contribution of genetic variation to drug response can improve the delivery of precision medicine. However, genome-wide association studies (GWAS) for drug response are uncommon and are often hindered by small sample sizes. We present a high-throughput framework to efficiently iden...

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Detalles Bibliográficos
Autores principales: Zheng, Neil S., Stone, Cosby A., Jiang, Lan, Shaffer, Christian M., Kerchberger, V. Eric, Chung, Cecilia P., Feng, QiPing, Cox, Nancy J., Stein, C. Michael, Roden, Dan M., Denny, Joshua C., Phillips, Elizabeth J., Wei, Wei-Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195357/
https://www.ncbi.nlm.nih.gov/pubmed/34061827
http://dx.doi.org/10.1371/journal.pgen.1009593

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195357/
https://www.ncbi.nlm.nih.gov/pubmed/34061827
http://dx.doi.org/10.1371/journal.pgen.1009593

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