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A combined reference panel from the 1000 Genomes and UK10K projects improved rare variant imputation in European and Chinese samples

Imputation using the 1000 Genomes haplotype reference panel has been widely adapted to estimate genotypes in genome wide association studies. To evaluate imputation quality with a relatively larger reference panel and a reference panel composed of different ethnic populations, we conducted imputatio...

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Autores principales: Chou, Wen-Chi, Zheng, Hou-Feng, Cheng, Chia-Ho, Yan, Han, Wang, Li, Han, Fang, Richards, J. Brent, Karasik, David, Kiel, Douglas P., Hsu, Yi-Hsiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5177868/
https://www.ncbi.nlm.nih.gov/pubmed/28004816
http://dx.doi.org/10.1038/srep39313
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author Chou, Wen-Chi
Zheng, Hou-Feng
Cheng, Chia-Ho
Yan, Han
Wang, Li
Han, Fang
Richards, J. Brent
Karasik, David
Kiel, Douglas P.
Hsu, Yi-Hsiang
author_facet Chou, Wen-Chi
Zheng, Hou-Feng
Cheng, Chia-Ho
Yan, Han
Wang, Li
Han, Fang
Richards, J. Brent
Karasik, David
Kiel, Douglas P.
Hsu, Yi-Hsiang
author_sort Chou, Wen-Chi
collection PubMed
description Imputation using the 1000 Genomes haplotype reference panel has been widely adapted to estimate genotypes in genome wide association studies. To evaluate imputation quality with a relatively larger reference panel and a reference panel composed of different ethnic populations, we conducted imputations in the Framingham Heart Study and the North Chinese Study using a combined reference panel from the 1000 Genomes (N = 1,092) and UK10K (N = 3,781) projects. For rare variants with 0.01% < MAF ≤ 0.5%, imputation in the Framingham Heart Study with the combined reference panel increased well-imputed genotypes (with imputation quality score ≥0.4) from 62.9% to 76.1% when compared to imputation with the 1000 Genomes. For the North Chinese samples, imputation of rare variants with 0.01% < MAF ≤ 0.5% with the combined reference panel increased well-imputed genotypes by from 49.8% to 61.8%. The predominant European ancestry of the UK10K and the combined reference panels may explain why there was less of an increase in imputation success in the North Chinese samples. Our results underscore the importance and potential of larger reference panels to impute rare variants, while recognizing that increasing ethnic specific variants in reference panels may result in better imputation for genotypes in some ethnic groups.
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spelling pubmed-51778682016-12-29 A combined reference panel from the 1000 Genomes and UK10K projects improved rare variant imputation in European and Chinese samples Chou, Wen-Chi Zheng, Hou-Feng Cheng, Chia-Ho Yan, Han Wang, Li Han, Fang Richards, J. Brent Karasik, David Kiel, Douglas P. Hsu, Yi-Hsiang Sci Rep Article Imputation using the 1000 Genomes haplotype reference panel has been widely adapted to estimate genotypes in genome wide association studies. To evaluate imputation quality with a relatively larger reference panel and a reference panel composed of different ethnic populations, we conducted imputations in the Framingham Heart Study and the North Chinese Study using a combined reference panel from the 1000 Genomes (N = 1,092) and UK10K (N = 3,781) projects. For rare variants with 0.01% < MAF ≤ 0.5%, imputation in the Framingham Heart Study with the combined reference panel increased well-imputed genotypes (with imputation quality score ≥0.4) from 62.9% to 76.1% when compared to imputation with the 1000 Genomes. For the North Chinese samples, imputation of rare variants with 0.01% < MAF ≤ 0.5% with the combined reference panel increased well-imputed genotypes by from 49.8% to 61.8%. The predominant European ancestry of the UK10K and the combined reference panels may explain why there was less of an increase in imputation success in the North Chinese samples. Our results underscore the importance and potential of larger reference panels to impute rare variants, while recognizing that increasing ethnic specific variants in reference panels may result in better imputation for genotypes in some ethnic groups. Nature Publishing Group 2016-12-22 /pmc/articles/PMC5177868/ /pubmed/28004816 http://dx.doi.org/10.1038/srep39313 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Chou, Wen-Chi
Zheng, Hou-Feng
Cheng, Chia-Ho
Yan, Han
Wang, Li
Han, Fang
Richards, J. Brent
Karasik, David
Kiel, Douglas P.
Hsu, Yi-Hsiang
A combined reference panel from the 1000 Genomes and UK10K projects improved rare variant imputation in European and Chinese samples
title A combined reference panel from the 1000 Genomes and UK10K projects improved rare variant imputation in European and Chinese samples
title_full A combined reference panel from the 1000 Genomes and UK10K projects improved rare variant imputation in European and Chinese samples
title_fullStr A combined reference panel from the 1000 Genomes and UK10K projects improved rare variant imputation in European and Chinese samples
title_full_unstemmed A combined reference panel from the 1000 Genomes and UK10K projects improved rare variant imputation in European and Chinese samples
title_short A combined reference panel from the 1000 Genomes and UK10K projects improved rare variant imputation in European and Chinese samples
title_sort combined reference panel from the 1000 genomes and uk10k projects improved rare variant imputation in european and chinese samples
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5177868/
https://www.ncbi.nlm.nih.gov/pubmed/28004816
http://dx.doi.org/10.1038/srep39313
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