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Influence of Genetic Interactions on Polygenic Prediction

Prediction of phenotypes from genotypes is an important objective to fulfill the promises of genomics, precision medicine and agriculture. Although it’s now possible to account for the majority of genetic variation through model fitting, prediction of phenotypes remains a challenge, especially acros...

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Detalles Bibliográficos
Autores principales: Dai, Zhijun, Long, Nanye, Huang, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945032/
https://www.ncbi.nlm.nih.gov/pubmed/31649046
http://dx.doi.org/10.1534/g3.119.400812
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author Dai, Zhijun
Long, Nanye
Huang, Wen
author_facet Dai, Zhijun
Long, Nanye
Huang, Wen
author_sort Dai, Zhijun
collection PubMed
description Prediction of phenotypes from genotypes is an important objective to fulfill the promises of genomics, precision medicine and agriculture. Although it’s now possible to account for the majority of genetic variation through model fitting, prediction of phenotypes remains a challenge, especially across populations that have diverged in the past. In this study, we designed simulation experiments to specifically investigate the role of genetic interactions in failure of polygenic prediction. We found that non-additive genetic interactions can significantly reduce the accuracy of polygenic prediction. Our study demonstrated the importance of considering genetic interactions in genetic prediction.
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spelling pubmed-69450322020-01-09 Influence of Genetic Interactions on Polygenic Prediction Dai, Zhijun Long, Nanye Huang, Wen G3 (Bethesda) Genomic Prediction Prediction of phenotypes from genotypes is an important objective to fulfill the promises of genomics, precision medicine and agriculture. Although it’s now possible to account for the majority of genetic variation through model fitting, prediction of phenotypes remains a challenge, especially across populations that have diverged in the past. In this study, we designed simulation experiments to specifically investigate the role of genetic interactions in failure of polygenic prediction. We found that non-additive genetic interactions can significantly reduce the accuracy of polygenic prediction. Our study demonstrated the importance of considering genetic interactions in genetic prediction. Genetics Society of America 2019-10-24 /pmc/articles/PMC6945032/ /pubmed/31649046 http://dx.doi.org/10.1534/g3.119.400812 Text en Copyright © 2020 Dai et al. http://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 (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Genomic Prediction
Dai, Zhijun
Long, Nanye
Huang, Wen
Influence of Genetic Interactions on Polygenic Prediction
title Influence of Genetic Interactions on Polygenic Prediction
title_full Influence of Genetic Interactions on Polygenic Prediction
title_fullStr Influence of Genetic Interactions on Polygenic Prediction
title_full_unstemmed Influence of Genetic Interactions on Polygenic Prediction
title_short Influence of Genetic Interactions on Polygenic Prediction
title_sort influence of genetic interactions on polygenic prediction
topic Genomic Prediction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945032/
https://www.ncbi.nlm.nih.gov/pubmed/31649046
http://dx.doi.org/10.1534/g3.119.400812
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