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...

Full description

Bibliographic Details
Published in:Communications Biology
Main Authors: Mills, M, Rahal, C
Format: Article in Journal/Newspaper
Language:English
Published: Springer Nature 2019
Subjects:
Online Access:https://doi.org/10.1038/s42003-018-0261-x
https://ora.ox.ac.uk/objects/uuid:01f6bfc2-b308-4ed8-b57a-ad0941283908
id ftuloxford:oai:ora.ox.ac.uk:uuid:01f6bfc2-b308-4ed8-b57a-ad0941283908
record_format openpolar
spelling ftuloxford:oai:ora.ox.ac.uk:uuid:01f6bfc2-b308-4ed8-b57a-ad0941283908 2023-05-15T16:48:26+02:00 A scientometric review of genome-wide association studies Mills, M Rahal, C 2019-01-24 https://doi.org/10.1038/s42003-018-0261-x https://ora.ox.ac.uk/objects/uuid:01f6bfc2-b308-4ed8-b57a-ad0941283908 eng eng Springer Nature doi:10.1038/s42003-018-0261-x https://ora.ox.ac.uk/objects/uuid:01f6bfc2-b308-4ed8-b57a-ad0941283908 https://doi.org/10.1038/s42003-018-0261-x info:eu-repo/semantics/openAccess CC Attribution (CC BY) CC-BY Journal article 2019 ftuloxford https://doi.org/10.1038/s42003-018-0261-x 2022-06-28T20:04:45Z 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. Article in Journal/Newspaper Iceland ORA - Oxford University Research Archive Communications Biology 2 1
institution Open Polar
collection ORA - Oxford University Research Archive
op_collection_id ftuloxford
language English
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 Article in Journal/Newspaper
author Mills, M
Rahal, C
spellingShingle Mills, M
Rahal, C
A scientometric review of genome-wide association studies
author_facet Mills, M
Rahal, C
author_sort Mills, M
title A scientometric review of genome-wide association studies
title_short 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_sort scientometric review of genome-wide association studies
publisher Springer Nature
publishDate 2019
url https://doi.org/10.1038/s42003-018-0261-x
https://ora.ox.ac.uk/objects/uuid:01f6bfc2-b308-4ed8-b57a-ad0941283908
genre Iceland
genre_facet Iceland
op_relation doi:10.1038/s42003-018-0261-x
https://ora.ox.ac.uk/objects/uuid:01f6bfc2-b308-4ed8-b57a-ad0941283908
https://doi.org/10.1038/s42003-018-0261-x
op_rights info:eu-repo/semantics/openAccess
CC Attribution (CC BY)
op_rightsnorm CC-BY
op_doi https://doi.org/10.1038/s42003-018-0261-x
container_title Communications Biology
container_volume 2
container_issue 1
_version_ 1766038520399396864