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Capturing additional genetic risk from family history for improved polygenic risk prediction
Family history of complex traits may reflect transmitted rare pathogenic variants, intra-familial shared exposures to environmental and lifestyle factors, as well as a common genetic predisposition. We developed a latent factor model to quantify trait heritability in excess of that captured by a com...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203758/ https://www.ncbi.nlm.nih.gov/pubmed/35710731 http://dx.doi.org/10.1038/s42003-022-03532-4 |
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author | Lu, Tianyuan Forgetta, Vincenzo Richards, J. Brent Greenwood, Celia M. T. |
author_facet | Lu, Tianyuan Forgetta, Vincenzo Richards, J. Brent Greenwood, Celia M. T. |
author_sort | Lu, Tianyuan |
collection | PubMed |
description | Family history of complex traits may reflect transmitted rare pathogenic variants, intra-familial shared exposures to environmental and lifestyle factors, as well as a common genetic predisposition. We developed a latent factor model to quantify trait heritability in excess of that captured by a common variant-based polygenic risk score, but inferable from family history. For 941 children in the Avon Longitudinal Study of Parents and Children cohort, a joint predictor combining a polygenic risk score for height and mid-parental height was able to explain (~)55% of the total variance in sex-adjusted adult height z-scores, close to the estimated heritability. Marginal yet consistent risk prediction improvements were also achieved among (~)400,000 European ancestry participants for 11 complex diseases in the UK Biobank. Our work showcases a paradigm for risk calculation, and supports incorporation of family history into polygenic risk score-based genetic risk prediction models. |
format | Online Article Text |
id | pubmed-9203758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92037582022-06-18 Capturing additional genetic risk from family history for improved polygenic risk prediction Lu, Tianyuan Forgetta, Vincenzo Richards, J. Brent Greenwood, Celia M. T. Commun Biol Article Family history of complex traits may reflect transmitted rare pathogenic variants, intra-familial shared exposures to environmental and lifestyle factors, as well as a common genetic predisposition. We developed a latent factor model to quantify trait heritability in excess of that captured by a common variant-based polygenic risk score, but inferable from family history. For 941 children in the Avon Longitudinal Study of Parents and Children cohort, a joint predictor combining a polygenic risk score for height and mid-parental height was able to explain (~)55% of the total variance in sex-adjusted adult height z-scores, close to the estimated heritability. Marginal yet consistent risk prediction improvements were also achieved among (~)400,000 European ancestry participants for 11 complex diseases in the UK Biobank. Our work showcases a paradigm for risk calculation, and supports incorporation of family history into polygenic risk score-based genetic risk prediction models. Nature Publishing Group UK 2022-06-16 /pmc/articles/PMC9203758/ /pubmed/35710731 http://dx.doi.org/10.1038/s42003-022-03532-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Lu, Tianyuan Forgetta, Vincenzo Richards, J. Brent Greenwood, Celia M. T. Capturing additional genetic risk from family history for improved polygenic risk prediction |
title | Capturing additional genetic risk from family history for improved polygenic risk prediction |
title_full | Capturing additional genetic risk from family history for improved polygenic risk prediction |
title_fullStr | Capturing additional genetic risk from family history for improved polygenic risk prediction |
title_full_unstemmed | Capturing additional genetic risk from family history for improved polygenic risk prediction |
title_short | Capturing additional genetic risk from family history for improved polygenic risk prediction |
title_sort | capturing additional genetic risk from family history for improved polygenic risk prediction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203758/ https://www.ncbi.nlm.nih.gov/pubmed/35710731 http://dx.doi.org/10.1038/s42003-022-03532-4 |
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