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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
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.
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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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