Overcoming attenuation bias in regressions using polygenic indices

Measurement error in polygenic indices (PGIs) attenuates the estimation of their effects in regression models. We analyze and compare two approaches addressing this attenuation bias: Obviously Related Instrumental Variables (ORIV) and the PGI Repository Correction (PGI-RC). Through simulations, we s...

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Detalles Bibliográficos
Autores principales: van Kippersluis, Hans, Biroli, Pietro, Dias Pereira, Rita, Galama, Titus J., von Hinke, Stephanie, Meddens, S. Fleur W., Muslimova, Dilnoza, Slob, Eric A. W., de Vlaming, Ronald, Rietveld, Cornelius A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368647/
https://www.ncbi.nlm.nih.gov/pubmed/37491308
http://dx.doi.org/10.1038/s41467-023-40069-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368647/
https://www.ncbi.nlm.nih.gov/pubmed/37491308
http://dx.doi.org/10.1038/s41467-023-40069-4

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