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A scientometric review of genome-wide association studies
This scientometric review of genome-wide association studies (GWAS) from 2005 to 2018 (3639 studies; 3508 traits) reveals extraordinary increases in sample sizes, rates of discovery and traits studied. A longitudinal examination shows fluctuating ancestral diversity, still predominantly European Anc...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323052/ https://www.ncbi.nlm.nih.gov/pubmed/30623105 http://dx.doi.org/10.1038/s42003-018-0261-x |
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author | Mills, Melinda C. Rahal, Charles |
author_facet | Mills, Melinda C. Rahal, Charles |
author_sort | Mills, Melinda C. |
collection | PubMed |
description | This scientometric review of genome-wide association studies (GWAS) from 2005 to 2018 (3639 studies; 3508 traits) reveals extraordinary increases in sample sizes, rates of discovery and traits studied. A longitudinal examination shows fluctuating ancestral diversity, still predominantly European Ancestry (88% in 2017) with 72% of discoveries from participants recruited from three countries (US, UK, Iceland). US agencies, primarily NIH, fund 85% and women are less often senior authors. We generate a unique GWAS H-Index and reveal a tight social network of prominent authors and frequently used data sets. We conclude with 10 evidence-based policy recommendations for scientists, research bodies, funders, and editors. |
format | Online Article Text |
id | pubmed-6323052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63230522019-01-08 A scientometric review of genome-wide association studies Mills, Melinda C. Rahal, Charles Commun Biol Review Article This scientometric review of genome-wide association studies (GWAS) from 2005 to 2018 (3639 studies; 3508 traits) reveals extraordinary increases in sample sizes, rates of discovery and traits studied. A longitudinal examination shows fluctuating ancestral diversity, still predominantly European Ancestry (88% in 2017) with 72% of discoveries from participants recruited from three countries (US, UK, Iceland). US agencies, primarily NIH, fund 85% and women are less often senior authors. We generate a unique GWAS H-Index and reveal a tight social network of prominent authors and frequently used data sets. We conclude with 10 evidence-based policy recommendations for scientists, research bodies, funders, and editors. Nature Publishing Group UK 2019-01-07 /pmc/articles/PMC6323052/ /pubmed/30623105 http://dx.doi.org/10.1038/s42003-018-0261-x Text en © The Author(s) 2019 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 | Review Article Mills, Melinda C. Rahal, Charles A scientometric review of genome-wide association studies |
title | A scientometric review of genome-wide association studies |
title_full | A scientometric review of genome-wide association studies |
title_fullStr | A scientometric review of genome-wide association studies |
title_full_unstemmed | A scientometric review of genome-wide association studies |
title_short | A scientometric review of genome-wide association studies |
title_sort | scientometric review of genome-wide association studies |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323052/ https://www.ncbi.nlm.nih.gov/pubmed/30623105 http://dx.doi.org/10.1038/s42003-018-0261-x |
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