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A phased SNP-based classification of sickle cell anemia HBB haplotypes
BACKGROUND: Sickle cell anemia causes severe complications and premature death. Five common β-globin gene cluster haplotypes are each associated with characteristic fetal hemoglobin (HbF) levels. As HbF is the major modulator of disease severity, classifying patients according to haplotype is useful...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5553663/ https://www.ncbi.nlm.nih.gov/pubmed/28800727 http://dx.doi.org/10.1186/s12864-017-4013-y |
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author | Shaikho, Elmutaz M. Farrell, John J. Alsultan, Abdulrahman Qutub, Hatem Al-Ali, Amein K. Figueiredo, Maria Stella Chui, David H.K. Farrer, Lindsay A. Murphy, George J. Mostoslavsky, Gustavo Sebastiani, Paola Steinberg, Martin H. |
author_facet | Shaikho, Elmutaz M. Farrell, John J. Alsultan, Abdulrahman Qutub, Hatem Al-Ali, Amein K. Figueiredo, Maria Stella Chui, David H.K. Farrer, Lindsay A. Murphy, George J. Mostoslavsky, Gustavo Sebastiani, Paola Steinberg, Martin H. |
author_sort | Shaikho, Elmutaz M. |
collection | PubMed |
description | BACKGROUND: Sickle cell anemia causes severe complications and premature death. Five common β-globin gene cluster haplotypes are each associated with characteristic fetal hemoglobin (HbF) levels. As HbF is the major modulator of disease severity, classifying patients according to haplotype is useful. The first method of haplotype classification used restriction fragment length polymorphisms (RFLPs) to detect single nucleotide polymorphisms (SNPs) in the β-globin gene cluster. This is labor intensive, and error prone. METHODS: We used genome-wide SNP data imputed to the 1000 Genomes reference panel to obtain phased data distinguishing parental alleles. RESULTS: We successfully haplotyped 813 sickle cell anemia patients previously classified by RFLPs with a concordance >98%. Four SNPs (rs3834466, rs28440105, rs10128556, and rs968857) marking four different restriction enzyme sites unequivocally defined most haplotypes. We were able to assign a haplotype to 86% of samples that were either partially or misclassified using RFLPs. CONCLUSION: Phased data using only four SNPs allowed unequivocal assignment of a haplotype that was not always possible using a larger number of RFLPs. Given the availability of genome-wide SNP data, our method is rapid and does not require high computational resources. |
format | Online Article Text |
id | pubmed-5553663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55536632017-08-15 A phased SNP-based classification of sickle cell anemia HBB haplotypes Shaikho, Elmutaz M. Farrell, John J. Alsultan, Abdulrahman Qutub, Hatem Al-Ali, Amein K. Figueiredo, Maria Stella Chui, David H.K. Farrer, Lindsay A. Murphy, George J. Mostoslavsky, Gustavo Sebastiani, Paola Steinberg, Martin H. BMC Genomics Methodology Article BACKGROUND: Sickle cell anemia causes severe complications and premature death. Five common β-globin gene cluster haplotypes are each associated with characteristic fetal hemoglobin (HbF) levels. As HbF is the major modulator of disease severity, classifying patients according to haplotype is useful. The first method of haplotype classification used restriction fragment length polymorphisms (RFLPs) to detect single nucleotide polymorphisms (SNPs) in the β-globin gene cluster. This is labor intensive, and error prone. METHODS: We used genome-wide SNP data imputed to the 1000 Genomes reference panel to obtain phased data distinguishing parental alleles. RESULTS: We successfully haplotyped 813 sickle cell anemia patients previously classified by RFLPs with a concordance >98%. Four SNPs (rs3834466, rs28440105, rs10128556, and rs968857) marking four different restriction enzyme sites unequivocally defined most haplotypes. We were able to assign a haplotype to 86% of samples that were either partially or misclassified using RFLPs. CONCLUSION: Phased data using only four SNPs allowed unequivocal assignment of a haplotype that was not always possible using a larger number of RFLPs. Given the availability of genome-wide SNP data, our method is rapid and does not require high computational resources. BioMed Central 2017-08-11 /pmc/articles/PMC5553663/ /pubmed/28800727 http://dx.doi.org/10.1186/s12864-017-4013-y Text en © The Author(s). 2017 Open AccessThis article is 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 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 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 | Methodology Article Shaikho, Elmutaz M. Farrell, John J. Alsultan, Abdulrahman Qutub, Hatem Al-Ali, Amein K. Figueiredo, Maria Stella Chui, David H.K. Farrer, Lindsay A. Murphy, George J. Mostoslavsky, Gustavo Sebastiani, Paola Steinberg, Martin H. A phased SNP-based classification of sickle cell anemia HBB haplotypes |
title | A phased SNP-based classification of sickle cell anemia HBB haplotypes |
title_full | A phased SNP-based classification of sickle cell anemia HBB haplotypes |
title_fullStr | A phased SNP-based classification of sickle cell anemia HBB haplotypes |
title_full_unstemmed | A phased SNP-based classification of sickle cell anemia HBB haplotypes |
title_short | A phased SNP-based classification of sickle cell anemia HBB haplotypes |
title_sort | phased snp-based classification of sickle cell anemia hbb haplotypes |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5553663/ https://www.ncbi.nlm.nih.gov/pubmed/28800727 http://dx.doi.org/10.1186/s12864-017-4013-y |
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