Validating and automating learning of cardiometabolic polygenic risk scores from direct-to-consumer genetic and phenotypic data: implications for scaling precision health research

INTRODUCTION: A major challenge to enabling precision health at a global scale is the bias between those who enroll in state sponsored genomic research and those suffering from chronic disease. More than 30 million people have been genotyped by direct-to-consumer (DTC) companies such as 23andMe, Anc...

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Detalles Bibliográficos
Autores principales: Lopez-Pineda, Arturo, Vernekar, Manvi, Moreno-Grau, Sonia, Rojas-Muñoz, Agustin, Moatamed, Babak, Lee, Ming Ta Michael, Nava-Aguilar, Marco A., Gonzalez-Arroyo, Gilberto, Numakura, Kensuke, Matsuda, Yuta, Ioannidis, Alexander, Katsanis, Nicholas, Takano, Tomohiro, Bustamante, Carlos D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452874/
https://www.ncbi.nlm.nih.gov/pubmed/36076307
http://dx.doi.org/10.1186/s40246-022-00406-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452874/
https://www.ncbi.nlm.nih.gov/pubmed/36076307
http://dx.doi.org/10.1186/s40246-022-00406-y

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