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The Geometric Increase in Meta-Analyses from China in the Genomic Era

Meta-analyses are increasingly popular. It is unknown whether this popularity is driven by specific countries and specific meta-analyses types. PubMed was used to identify meta-analyses since 1995 (last update 9/1/2012) and catalogue their types and country of origin. We focused more on meta-analyse...

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Autores principales: Ioannidis, John P. A., Chang, Christine Q., Lam, Tram Kim, Schully, Sheri D., Khoury, Muin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680482/
https://www.ncbi.nlm.nih.gov/pubmed/23776510
http://dx.doi.org/10.1371/journal.pone.0065602
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author Ioannidis, John P. A.
Chang, Christine Q.
Lam, Tram Kim
Schully, Sheri D.
Khoury, Muin J.
author_facet Ioannidis, John P. A.
Chang, Christine Q.
Lam, Tram Kim
Schully, Sheri D.
Khoury, Muin J.
author_sort Ioannidis, John P. A.
collection PubMed
description Meta-analyses are increasingly popular. It is unknown whether this popularity is driven by specific countries and specific meta-analyses types. PubMed was used to identify meta-analyses since 1995 (last update 9/1/2012) and catalogue their types and country of origin. We focused more on meta-analyses from China (the current top producer of meta-analyses) versus the USA (top producer until recently). The annual number of meta-analyses from China increased 40-fold between 2003 and 2011 versus 2.4-fold for the USA. The growth of Chinese meta-analyses was driven by genetics (110-fold increase in 2011 versus 2003). The HuGE Navigator identified 612 meta-analyses of genetic association studies published in 2012 from China versus only 109 from the USA. We compared in-depth 50 genetic association meta-analyses from China versus 50 from USA in 2012. Meta-analyses from China almost always used only literature-based data (92%), and focused on one or two genes (94%) and variants (78%) identified with candidate gene approaches (88%), while many USA meta-analyses used genome-wide approaches and raw data. Both groups usually concluded favorably for the presence of genetic associations (80% versus 74%), but nominal significance (P<0.05) typically sufficed in the China group. Meta-analyses from China typically neglected genome-wide data, and often included candidate gene studies published in Chinese-language journals. Overall, there is an impressive rise of meta-analyses from China, particularly on genetic associations. Since most claimed candidate gene associations are likely false-positives, there is an urgent global need to incorporate genome-wide data and state-of-the art statistical inferences to avoid a flood of false-positive genetic meta-analyses.
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spelling pubmed-36804822013-06-17 The Geometric Increase in Meta-Analyses from China in the Genomic Era Ioannidis, John P. A. Chang, Christine Q. Lam, Tram Kim Schully, Sheri D. Khoury, Muin J. PLoS One Research Article Meta-analyses are increasingly popular. It is unknown whether this popularity is driven by specific countries and specific meta-analyses types. PubMed was used to identify meta-analyses since 1995 (last update 9/1/2012) and catalogue their types and country of origin. We focused more on meta-analyses from China (the current top producer of meta-analyses) versus the USA (top producer until recently). The annual number of meta-analyses from China increased 40-fold between 2003 and 2011 versus 2.4-fold for the USA. The growth of Chinese meta-analyses was driven by genetics (110-fold increase in 2011 versus 2003). The HuGE Navigator identified 612 meta-analyses of genetic association studies published in 2012 from China versus only 109 from the USA. We compared in-depth 50 genetic association meta-analyses from China versus 50 from USA in 2012. Meta-analyses from China almost always used only literature-based data (92%), and focused on one or two genes (94%) and variants (78%) identified with candidate gene approaches (88%), while many USA meta-analyses used genome-wide approaches and raw data. Both groups usually concluded favorably for the presence of genetic associations (80% versus 74%), but nominal significance (P<0.05) typically sufficed in the China group. Meta-analyses from China typically neglected genome-wide data, and often included candidate gene studies published in Chinese-language journals. Overall, there is an impressive rise of meta-analyses from China, particularly on genetic associations. Since most claimed candidate gene associations are likely false-positives, there is an urgent global need to incorporate genome-wide data and state-of-the art statistical inferences to avoid a flood of false-positive genetic meta-analyses. Public Library of Science 2013-06-12 /pmc/articles/PMC3680482/ /pubmed/23776510 http://dx.doi.org/10.1371/journal.pone.0065602 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Ioannidis, John P. A.
Chang, Christine Q.
Lam, Tram Kim
Schully, Sheri D.
Khoury, Muin J.
The Geometric Increase in Meta-Analyses from China in the Genomic Era
title The Geometric Increase in Meta-Analyses from China in the Genomic Era
title_full The Geometric Increase in Meta-Analyses from China in the Genomic Era
title_fullStr The Geometric Increase in Meta-Analyses from China in the Genomic Era
title_full_unstemmed The Geometric Increase in Meta-Analyses from China in the Genomic Era
title_short The Geometric Increase in Meta-Analyses from China in the Genomic Era
title_sort geometric increase in meta-analyses from china in the genomic era
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3680482/
https://www.ncbi.nlm.nih.gov/pubmed/23776510
http://dx.doi.org/10.1371/journal.pone.0065602
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