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Diversity in EWAS: current state, challenges, and solutions
Here, we report a lack of diversity in epigenome-wide association studies (EWAS) and DNA methylation (DNAm) data, discuss current challenges, and propose solutions for EWAS and DNAm research in diverse populations. The strategies we propose include fostering community involvement, new data generatio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258042/ https://www.ncbi.nlm.nih.gov/pubmed/35794667 http://dx.doi.org/10.1186/s13073-022-01065-3 |
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author | Breeze, Charles E. Wong, Jason Y. Y. Beck, Stephan Berndt, Sonja I. Franceschini, Nora |
author_facet | Breeze, Charles E. Wong, Jason Y. Y. Beck, Stephan Berndt, Sonja I. Franceschini, Nora |
author_sort | Breeze, Charles E. |
collection | PubMed |
description | Here, we report a lack of diversity in epigenome-wide association studies (EWAS) and DNA methylation (DNAm) data, discuss current challenges, and propose solutions for EWAS and DNAm research in diverse populations. The strategies we propose include fostering community involvement, new data generation, and cost-effective approaches such as locus-specific analysis and ancestry variable region analysis. |
format | Online Article Text |
id | pubmed-9258042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92580422022-07-07 Diversity in EWAS: current state, challenges, and solutions Breeze, Charles E. Wong, Jason Y. Y. Beck, Stephan Berndt, Sonja I. Franceschini, Nora Genome Med Comment Here, we report a lack of diversity in epigenome-wide association studies (EWAS) and DNA methylation (DNAm) data, discuss current challenges, and propose solutions for EWAS and DNAm research in diverse populations. The strategies we propose include fostering community involvement, new data generation, and cost-effective approaches such as locus-specific analysis and ancestry variable region analysis. BioMed Central 2022-07-06 /pmc/articles/PMC9258042/ /pubmed/35794667 http://dx.doi.org/10.1186/s13073-022-01065-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Comment Breeze, Charles E. Wong, Jason Y. Y. Beck, Stephan Berndt, Sonja I. Franceschini, Nora Diversity in EWAS: current state, challenges, and solutions |
title | Diversity in EWAS: current state, challenges, and solutions |
title_full | Diversity in EWAS: current state, challenges, and solutions |
title_fullStr | Diversity in EWAS: current state, challenges, and solutions |
title_full_unstemmed | Diversity in EWAS: current state, challenges, and solutions |
title_short | Diversity in EWAS: current state, challenges, and solutions |
title_sort | diversity in ewas: current state, challenges, and solutions |
topic | Comment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258042/ https://www.ncbi.nlm.nih.gov/pubmed/35794667 http://dx.doi.org/10.1186/s13073-022-01065-3 |
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