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Whole genome prediction for preimplantation genetic diagnosis
BACKGROUND: Preimplantation genetic diagnosis (PGD) enables profiling of embryos for genetic disorders prior to implantation. The majority of PGD testing is restricted in the scope of variants assayed or by the availability of extended family members. While recent advances in single cell sequencing...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445980/ https://www.ncbi.nlm.nih.gov/pubmed/26019723 http://dx.doi.org/10.1186/s13073-015-0160-4 |
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author | Kumar, Akash Ryan, Allison Kitzman, Jacob O Wemmer, Nina Snyder, Matthew W Sigurjonsson, Styrmir Lee, Choli Banjevic, Milena Zarutskie, Paul W Lewis, Alexandra P Shendure, Jay Rabinowitz, Matthew |
author_facet | Kumar, Akash Ryan, Allison Kitzman, Jacob O Wemmer, Nina Snyder, Matthew W Sigurjonsson, Styrmir Lee, Choli Banjevic, Milena Zarutskie, Paul W Lewis, Alexandra P Shendure, Jay Rabinowitz, Matthew |
author_sort | Kumar, Akash |
collection | PubMed |
description | BACKGROUND: Preimplantation genetic diagnosis (PGD) enables profiling of embryos for genetic disorders prior to implantation. The majority of PGD testing is restricted in the scope of variants assayed or by the availability of extended family members. While recent advances in single cell sequencing show promise, they remain limited by bias in DNA amplification and the rapid turnaround time (<36 h) required for fresh embryo transfer. Here, we describe and validate a method for inferring the inherited whole genome sequence of an embryo for preimplantation genetic diagnosis (PGD). METHODS: We combine haplotype-resolved, parental genome sequencing with rapid embryo genotyping to predict the whole genome sequence of a day-5 human embryo in a couple at risk of transmitting alpha-thalassemia. RESULTS: Inheritance was predicted at approximately 3 million paternally and/or maternally heterozygous sites with greater than 99% accuracy. Furthermore, we successfully phase and predict the transmission of an HBA1/HBA2 deletion from each parent. CONCLUSIONS: Our results suggest that preimplantation whole genome prediction may facilitate the comprehensive diagnosis of diseases with a known genetic basis in embryos. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0160-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4445980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44459802015-05-28 Whole genome prediction for preimplantation genetic diagnosis Kumar, Akash Ryan, Allison Kitzman, Jacob O Wemmer, Nina Snyder, Matthew W Sigurjonsson, Styrmir Lee, Choli Banjevic, Milena Zarutskie, Paul W Lewis, Alexandra P Shendure, Jay Rabinowitz, Matthew Genome Med Research BACKGROUND: Preimplantation genetic diagnosis (PGD) enables profiling of embryos for genetic disorders prior to implantation. The majority of PGD testing is restricted in the scope of variants assayed or by the availability of extended family members. While recent advances in single cell sequencing show promise, they remain limited by bias in DNA amplification and the rapid turnaround time (<36 h) required for fresh embryo transfer. Here, we describe and validate a method for inferring the inherited whole genome sequence of an embryo for preimplantation genetic diagnosis (PGD). METHODS: We combine haplotype-resolved, parental genome sequencing with rapid embryo genotyping to predict the whole genome sequence of a day-5 human embryo in a couple at risk of transmitting alpha-thalassemia. RESULTS: Inheritance was predicted at approximately 3 million paternally and/or maternally heterozygous sites with greater than 99% accuracy. Furthermore, we successfully phase and predict the transmission of an HBA1/HBA2 deletion from each parent. CONCLUSIONS: Our results suggest that preimplantation whole genome prediction may facilitate the comprehensive diagnosis of diseases with a known genetic basis in embryos. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-015-0160-4) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-08 /pmc/articles/PMC4445980/ /pubmed/26019723 http://dx.doi.org/10.1186/s13073-015-0160-4 Text en © Kumar et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Kumar, Akash Ryan, Allison Kitzman, Jacob O Wemmer, Nina Snyder, Matthew W Sigurjonsson, Styrmir Lee, Choli Banjevic, Milena Zarutskie, Paul W Lewis, Alexandra P Shendure, Jay Rabinowitz, Matthew Whole genome prediction for preimplantation genetic diagnosis |
title | Whole genome prediction for preimplantation genetic diagnosis |
title_full | Whole genome prediction for preimplantation genetic diagnosis |
title_fullStr | Whole genome prediction for preimplantation genetic diagnosis |
title_full_unstemmed | Whole genome prediction for preimplantation genetic diagnosis |
title_short | Whole genome prediction for preimplantation genetic diagnosis |
title_sort | whole genome prediction for preimplantation genetic diagnosis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4445980/ https://www.ncbi.nlm.nih.gov/pubmed/26019723 http://dx.doi.org/10.1186/s13073-015-0160-4 |
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