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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2019
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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. |
format | Online Article Text |
id | pubmed-6945032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT daizhijun influenceofgeneticinteractionsonpolygenicprediction AT longnanye influenceofgeneticinteractionsonpolygenicprediction AT huangwen influenceofgeneticinteractionsonpolygenicprediction |