Getting the Most Out of Your Genome-Wide Association Study Using Polygenic Risk Scores

Determining the risk of a phenotypic outcome is a complex balance of variants “for” or “against” the phenotype, which in the context of human genetic diseases have been summarized using polygenic risk scores. In a previously published article (K. T. Hellmann, L. Challagundla, B. M. Gray, D. A. Robin...

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Detalles Bibliográficos
Autores principales: Maggioncalda, Emily, Snitkin, Evan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2023
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358154/
https://www.ncbi.nlm.nih.gov/pubmed/37272825
http://dx.doi.org/10.1128/jcm.00223-23
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author Maggioncalda, Emily
Snitkin, Evan
author_facet Maggioncalda, Emily
Snitkin, Evan
author_sort Maggioncalda, Emily
collection PubMed
description Determining the risk of a phenotypic outcome is a complex balance of variants “for” or “against” the phenotype, which in the context of human genetic diseases have been summarized using polygenic risk scores. In a previously published article (K. T. Hellmann, L. Challagundla, B. M. Gray, D. A. Robinson, J Clin Microbiol 61:e01412-22, 2023, https://doi.org/10.1128/jcm.01412-22), Hellmann and colleagues demonstrate how the use of a bacterial polygenic risk score to predict S. epidermidis infection versus colonization in neonates led to both increases in predictive accuracy and improved generalizability to external data.
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spelling pubmed-103581542023-07-21 Getting the Most Out of Your Genome-Wide Association Study Using Polygenic Risk Scores Maggioncalda, Emily Snitkin, Evan J Clin Microbiol Commentary Determining the risk of a phenotypic outcome is a complex balance of variants “for” or “against” the phenotype, which in the context of human genetic diseases have been summarized using polygenic risk scores. In a previously published article (K. T. Hellmann, L. Challagundla, B. M. Gray, D. A. Robinson, J Clin Microbiol 61:e01412-22, 2023, https://doi.org/10.1128/jcm.01412-22), Hellmann and colleagues demonstrate how the use of a bacterial polygenic risk score to predict S. epidermidis infection versus colonization in neonates led to both increases in predictive accuracy and improved generalizability to external data. American Society for Microbiology 2023-06-05 /pmc/articles/PMC10358154/ /pubmed/37272825 http://dx.doi.org/10.1128/jcm.00223-23 Text en Copyright © 2023 Maggioncalda and Snitkin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Commentary
Maggioncalda, Emily
Snitkin, Evan
Getting the Most Out of Your Genome-Wide Association Study Using Polygenic Risk Scores
title Getting the Most Out of Your Genome-Wide Association Study Using Polygenic Risk Scores
title_full Getting the Most Out of Your Genome-Wide Association Study Using Polygenic Risk Scores
title_fullStr Getting the Most Out of Your Genome-Wide Association Study Using Polygenic Risk Scores
title_full_unstemmed Getting the Most Out of Your Genome-Wide Association Study Using Polygenic Risk Scores
title_short Getting the Most Out of Your Genome-Wide Association Study Using Polygenic Risk Scores
title_sort getting the most out of your genome-wide association study using polygenic risk scores
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358154/
https://www.ncbi.nlm.nih.gov/pubmed/37272825
http://dx.doi.org/10.1128/jcm.00223-23
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