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Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry
Multiple myeloma (MM) is two- to three-fold more common in African Americans (AAs) compared to European Americans (EAs). This striking disparity, one of the highest of any cancer, may be due to underlying genetic predisposition between these groups. There are multiple unique cytogenetic subtypes of...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6180134/ https://www.ncbi.nlm.nih.gov/pubmed/30305608 http://dx.doi.org/10.1038/s41408-018-0132-1 |
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author | Baughn, Linda B. Pearce, Kathryn Larson, Dirk Polley, Mei-Yin Elhaik, Eran Baird, Michael Colby, Colin Benson, Joanne Li, Zhuo Asmann, Yan Therneau, Terry Cerhan, James R. Vachon, Celine M. Stewart, A. Keith Bergsagel, P. Leif Dispenzieri, Angela Kumar, Shaji Rajkumar, S. Vincent |
author_facet | Baughn, Linda B. Pearce, Kathryn Larson, Dirk Polley, Mei-Yin Elhaik, Eran Baird, Michael Colby, Colin Benson, Joanne Li, Zhuo Asmann, Yan Therneau, Terry Cerhan, James R. Vachon, Celine M. Stewart, A. Keith Bergsagel, P. Leif Dispenzieri, Angela Kumar, Shaji Rajkumar, S. Vincent |
author_sort | Baughn, Linda B. |
collection | PubMed |
description | Multiple myeloma (MM) is two- to three-fold more common in African Americans (AAs) compared to European Americans (EAs). This striking disparity, one of the highest of any cancer, may be due to underlying genetic predisposition between these groups. There are multiple unique cytogenetic subtypes of MM, and it is likely that the disparity is associated with only certain subtypes. Previous efforts to understand this disparity have relied on self-reported race rather than genetic ancestry, which may result in bias. To mitigate these difficulties, we studied 881 patients with monoclonal gammopathies who had undergone uniform testing to identify primary cytogenetic abnormalities. DNA from bone marrow samples was genotyped on the Precision Medicine Research Array and biogeographical ancestry was quantitatively assessed using the Geographic Population Structure Origins tool. The probability of having one of three specific subtypes, namely t(11;14), t(14;16), or t(14;20) was significantly higher in the 120 individuals with highest African ancestry (≥80%) compared with the 235 individuals with lowest African ancestry (<0.1%) (51% vs. 33%, respectively, p value = 0.008). Using quantitatively measured African ancestry, we demonstrate a major proportion of the racial disparity in MM is driven by disparity in the occurrence of the t(11;14), t(14;16), and t(14;20) types of MM. |
format | Online Article Text |
id | pubmed-6180134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61801342018-10-11 Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry Baughn, Linda B. Pearce, Kathryn Larson, Dirk Polley, Mei-Yin Elhaik, Eran Baird, Michael Colby, Colin Benson, Joanne Li, Zhuo Asmann, Yan Therneau, Terry Cerhan, James R. Vachon, Celine M. Stewart, A. Keith Bergsagel, P. Leif Dispenzieri, Angela Kumar, Shaji Rajkumar, S. Vincent Blood Cancer J Article Multiple myeloma (MM) is two- to three-fold more common in African Americans (AAs) compared to European Americans (EAs). This striking disparity, one of the highest of any cancer, may be due to underlying genetic predisposition between these groups. There are multiple unique cytogenetic subtypes of MM, and it is likely that the disparity is associated with only certain subtypes. Previous efforts to understand this disparity have relied on self-reported race rather than genetic ancestry, which may result in bias. To mitigate these difficulties, we studied 881 patients with monoclonal gammopathies who had undergone uniform testing to identify primary cytogenetic abnormalities. DNA from bone marrow samples was genotyped on the Precision Medicine Research Array and biogeographical ancestry was quantitatively assessed using the Geographic Population Structure Origins tool. The probability of having one of three specific subtypes, namely t(11;14), t(14;16), or t(14;20) was significantly higher in the 120 individuals with highest African ancestry (≥80%) compared with the 235 individuals with lowest African ancestry (<0.1%) (51% vs. 33%, respectively, p value = 0.008). Using quantitatively measured African ancestry, we demonstrate a major proportion of the racial disparity in MM is driven by disparity in the occurrence of the t(11;14), t(14;16), and t(14;20) types of MM. Nature Publishing Group UK 2018-10-10 /pmc/articles/PMC6180134/ /pubmed/30305608 http://dx.doi.org/10.1038/s41408-018-0132-1 Text en © The Author(s) 2018 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/. |
spellingShingle | Article Baughn, Linda B. Pearce, Kathryn Larson, Dirk Polley, Mei-Yin Elhaik, Eran Baird, Michael Colby, Colin Benson, Joanne Li, Zhuo Asmann, Yan Therneau, Terry Cerhan, James R. Vachon, Celine M. Stewart, A. Keith Bergsagel, P. Leif Dispenzieri, Angela Kumar, Shaji Rajkumar, S. Vincent Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry |
title | Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry |
title_full | Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry |
title_fullStr | Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry |
title_full_unstemmed | Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry |
title_short | Differences in genomic abnormalities among African individuals with monoclonal gammopathies using calculated ancestry |
title_sort | differences in genomic abnormalities among african individuals with monoclonal gammopathies using calculated ancestry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6180134/ https://www.ncbi.nlm.nih.gov/pubmed/30305608 http://dx.doi.org/10.1038/s41408-018-0132-1 |
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