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Insights Into Genome-Wide Association Study for Diabetes: A Bibliometric and Visual Analysis From 2001 to 2021

Hundreds of research and review articles concerning genome-wide association study (GWAS) in diabetes have been published in the last two decades. We aimed to evaluate the hotspots and future trends in GWAS in diabetes research through bibliometric analysis. Accordingly, 567 research and review artic...

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Autores principales: Liu, Yang, Wang, Yun, Qin, Shan, Jin, Xinye, Jin, Lingzi, Gu, Weijun, Mu, Yiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963272/
https://www.ncbi.nlm.nih.gov/pubmed/35360064
http://dx.doi.org/10.3389/fendo.2022.817620
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author Liu, Yang
Wang, Yun
Qin, Shan
Jin, Xinye
Jin, Lingzi
Gu, Weijun
Mu, Yiming
author_facet Liu, Yang
Wang, Yun
Qin, Shan
Jin, Xinye
Jin, Lingzi
Gu, Weijun
Mu, Yiming
author_sort Liu, Yang
collection PubMed
description Hundreds of research and review articles concerning genome-wide association study (GWAS) in diabetes have been published in the last two decades. We aimed to evaluate the hotspots and future trends in GWAS in diabetes research through bibliometric analysis. Accordingly, 567 research and review articles published between 2001 and 2021 were included. A rising trend was noted in the annual number of publications and citations on GWAS in diabetes during this period. Harvard University and Harvard Medical School have played leading roles in genome research. Hotspot analyses indicated that DNA methylation and genetic variation, especially in type 2 diabetes mellitus, are likely to remain the research hotspots. Moreover, the identification of genetic phenotypes associated with adiposity, metabolic memory, pancreatic islet, and inflammation is the leading trend in this research field. Through this review, we provide predictions on the main research trends in the future so as to shed light on new directions and ideas for further investigations on the genetic etiology of diabetes for its prevention and treatment.
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spelling pubmed-89632722022-03-30 Insights Into Genome-Wide Association Study for Diabetes: A Bibliometric and Visual Analysis From 2001 to 2021 Liu, Yang Wang, Yun Qin, Shan Jin, Xinye Jin, Lingzi Gu, Weijun Mu, Yiming Front Endocrinol (Lausanne) Endocrinology Hundreds of research and review articles concerning genome-wide association study (GWAS) in diabetes have been published in the last two decades. We aimed to evaluate the hotspots and future trends in GWAS in diabetes research through bibliometric analysis. Accordingly, 567 research and review articles published between 2001 and 2021 were included. A rising trend was noted in the annual number of publications and citations on GWAS in diabetes during this period. Harvard University and Harvard Medical School have played leading roles in genome research. Hotspot analyses indicated that DNA methylation and genetic variation, especially in type 2 diabetes mellitus, are likely to remain the research hotspots. Moreover, the identification of genetic phenotypes associated with adiposity, metabolic memory, pancreatic islet, and inflammation is the leading trend in this research field. Through this review, we provide predictions on the main research trends in the future so as to shed light on new directions and ideas for further investigations on the genetic etiology of diabetes for its prevention and treatment. Frontiers Media S.A. 2022-03-11 /pmc/articles/PMC8963272/ /pubmed/35360064 http://dx.doi.org/10.3389/fendo.2022.817620 Text en Copyright © 2022 Liu, Wang, Qin, Jin, Jin, Gu and Mu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Liu, Yang
Wang, Yun
Qin, Shan
Jin, Xinye
Jin, Lingzi
Gu, Weijun
Mu, Yiming
Insights Into Genome-Wide Association Study for Diabetes: A Bibliometric and Visual Analysis From 2001 to 2021
title Insights Into Genome-Wide Association Study for Diabetes: A Bibliometric and Visual Analysis From 2001 to 2021
title_full Insights Into Genome-Wide Association Study for Diabetes: A Bibliometric and Visual Analysis From 2001 to 2021
title_fullStr Insights Into Genome-Wide Association Study for Diabetes: A Bibliometric and Visual Analysis From 2001 to 2021
title_full_unstemmed Insights Into Genome-Wide Association Study for Diabetes: A Bibliometric and Visual Analysis From 2001 to 2021
title_short Insights Into Genome-Wide Association Study for Diabetes: A Bibliometric and Visual Analysis From 2001 to 2021
title_sort insights into genome-wide association study for diabetes: a bibliometric and visual analysis from 2001 to 2021
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963272/
https://www.ncbi.nlm.nih.gov/pubmed/35360064
http://dx.doi.org/10.3389/fendo.2022.817620
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