No Cover Image

Journal article 742 views 145 downloads

Systematic Review and Meta-Analysis of Candidate Gene Association Studies With Fracture Risk in Physically Active Participants

Edward Ryan-Moore, Yiannis Mavrommatis, Mark Waldron Orcid Logo

Frontiers in Genetics, Volume: 11

Swansea University Author: Mark Waldron Orcid Logo

  • 54285VOR.pdf

    PDF | Version of Record

    Released under the terms of a Creative Commons Attribution License (CC-BY).

    Download (1.17MB)

Check full text

DOI (Published version): 10.3389/fgene.2020.00551

Abstract

Background: Fractures are common in physically active populations and genetic differences may mediate injury risk. Objective: To meta-analyse the pooled results of candidate gene association studies with non-osteoporotic fracture risk in physically active humans. Methods: Systematic searching of dat...

Full description

Published in: Frontiers in Genetics
ISSN: 1664-8021
Published: Frontiers Media SA 2020
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa54285
first_indexed 2020-05-20T13:08:10Z
last_indexed 2020-06-18T19:09:29Z
id cronfa54285
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-06-18T18:06:56.4895511</datestamp><bib-version>v2</bib-version><id>54285</id><entry>2020-05-20</entry><title>Systematic Review and Meta-Analysis of Candidate Gene Association Studies With Fracture Risk in Physically Active Participants</title><swanseaauthors><author><sid>70db7c6c54d46f5e70b39e5ae0a056fa</sid><ORCID>0000-0002-2720-4615</ORCID><firstname>Mark</firstname><surname>Waldron</surname><name>Mark Waldron</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2020-05-20</date><deptcode>EAAS</deptcode><abstract>Background: Fractures are common in physically active populations and genetic differences may mediate injury risk. Objective: To meta-analyse the pooled results of candidate gene association studies with non-osteoporotic fracture risk in physically active humans. Methods: Systematic searching of databases returned 11 eligible studies published in English. Pooled odds ratios (ORs) with 95% confidence intervals (CI) were produced using allele contrast, recessive and homozygote contrast meta-analysis models to evaluate associations of risk alleles in the COL1A1 (rs1800012), COL2A1 (rs412777), CTR (rs1801197), ESR1 (rs2234693 &amp; rs9340799) LRP5 (rs3736228), VDR (rs10735810, rs7975232, rs1544410 &amp; rs731236) genes with fracture incidence. Results: Eligible study quality was generally low (7/11) and no significant overall effect was found for any genetic variant with any comparison model (p &gt;0.05). A trivial reduction in fracture risk was found for female participants with the COL1A1 Sp1 (rs1800012) T allele (OR = 0.48, 95% CI = 0.25 &#x2013; 0.91, p = 0.03, d = -0.18). Conclusions: No overall effect was found from the pooled results of included genetic variants on fracture risk in physically active participants. The COL1A1 Sp1 rs1800012 T allele may reduce fracture risk in physically active females but further high-quality research with sex-specific analysis is required. Trial Registration: (PROSPERO; CRD42018115008).</abstract><type>Journal Article</type><journal>Frontiers in Genetics</journal><volume>11</volume><publisher>Frontiers Media SA</publisher><issnElectronic>1664-8021</issnElectronic><keywords>Human genetics, injury, Intrinsic risk factors, Bone, Fracture</keywords><publishedDay>16</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-06-16</publishedDate><doi>10.3389/fgene.2020.00551</doi><url/><notes/><college>COLLEGE NANME</college><department>Engineering and Applied Sciences School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>EAAS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-06-18T18:06:56.4895511</lastEdited><Created>2020-05-20T09:01:41.4979382</Created><authors><author><firstname>Edward</firstname><surname>Ryan-Moore</surname><order>1</order></author><author><firstname>Yiannis</firstname><surname>Mavrommatis</surname><order>2</order></author><author><firstname>Mark</firstname><surname>Waldron</surname><orcid>0000-0002-2720-4615</orcid><order>3</order></author></authors><documents><document><filename>54285__17542__409c7c385b374d89a9940a9ec26116e3.pdf</filename><originalFilename>54285VOR.pdf</originalFilename><uploaded>2020-06-18T18:05:07.8989201</uploaded><type>Output</type><contentLength>1221859</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Released under the terms of a Creative Commons Attribution License (CC-BY).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>English</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2020-06-18T18:06:56.4895511 v2 54285 2020-05-20 Systematic Review and Meta-Analysis of Candidate Gene Association Studies With Fracture Risk in Physically Active Participants 70db7c6c54d46f5e70b39e5ae0a056fa 0000-0002-2720-4615 Mark Waldron Mark Waldron true false 2020-05-20 EAAS Background: Fractures are common in physically active populations and genetic differences may mediate injury risk. Objective: To meta-analyse the pooled results of candidate gene association studies with non-osteoporotic fracture risk in physically active humans. Methods: Systematic searching of databases returned 11 eligible studies published in English. Pooled odds ratios (ORs) with 95% confidence intervals (CI) were produced using allele contrast, recessive and homozygote contrast meta-analysis models to evaluate associations of risk alleles in the COL1A1 (rs1800012), COL2A1 (rs412777), CTR (rs1801197), ESR1 (rs2234693 & rs9340799) LRP5 (rs3736228), VDR (rs10735810, rs7975232, rs1544410 & rs731236) genes with fracture incidence. Results: Eligible study quality was generally low (7/11) and no significant overall effect was found for any genetic variant with any comparison model (p >0.05). A trivial reduction in fracture risk was found for female participants with the COL1A1 Sp1 (rs1800012) T allele (OR = 0.48, 95% CI = 0.25 – 0.91, p = 0.03, d = -0.18). Conclusions: No overall effect was found from the pooled results of included genetic variants on fracture risk in physically active participants. The COL1A1 Sp1 rs1800012 T allele may reduce fracture risk in physically active females but further high-quality research with sex-specific analysis is required. Trial Registration: (PROSPERO; CRD42018115008). Journal Article Frontiers in Genetics 11 Frontiers Media SA 1664-8021 Human genetics, injury, Intrinsic risk factors, Bone, Fracture 16 6 2020 2020-06-16 10.3389/fgene.2020.00551 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University 2020-06-18T18:06:56.4895511 2020-05-20T09:01:41.4979382 Edward Ryan-Moore 1 Yiannis Mavrommatis 2 Mark Waldron 0000-0002-2720-4615 3 54285__17542__409c7c385b374d89a9940a9ec26116e3.pdf 54285VOR.pdf 2020-06-18T18:05:07.8989201 Output 1221859 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution License (CC-BY). true English http://creativecommons.org/licenses/by/4.0/
title Systematic Review and Meta-Analysis of Candidate Gene Association Studies With Fracture Risk in Physically Active Participants
spellingShingle Systematic Review and Meta-Analysis of Candidate Gene Association Studies With Fracture Risk in Physically Active Participants
Mark Waldron
title_short Systematic Review and Meta-Analysis of Candidate Gene Association Studies With Fracture Risk in Physically Active Participants
title_full Systematic Review and Meta-Analysis of Candidate Gene Association Studies With Fracture Risk in Physically Active Participants
title_fullStr Systematic Review and Meta-Analysis of Candidate Gene Association Studies With Fracture Risk in Physically Active Participants
title_full_unstemmed Systematic Review and Meta-Analysis of Candidate Gene Association Studies With Fracture Risk in Physically Active Participants
title_sort Systematic Review and Meta-Analysis of Candidate Gene Association Studies With Fracture Risk in Physically Active Participants
author_id_str_mv 70db7c6c54d46f5e70b39e5ae0a056fa
author_id_fullname_str_mv 70db7c6c54d46f5e70b39e5ae0a056fa_***_Mark Waldron
author Mark Waldron
author2 Edward Ryan-Moore
Yiannis Mavrommatis
Mark Waldron
format Journal article
container_title Frontiers in Genetics
container_volume 11
publishDate 2020
institution Swansea University
issn 1664-8021
doi_str_mv 10.3389/fgene.2020.00551
publisher Frontiers Media SA
document_store_str 1
active_str 0
description Background: Fractures are common in physically active populations and genetic differences may mediate injury risk. Objective: To meta-analyse the pooled results of candidate gene association studies with non-osteoporotic fracture risk in physically active humans. Methods: Systematic searching of databases returned 11 eligible studies published in English. Pooled odds ratios (ORs) with 95% confidence intervals (CI) were produced using allele contrast, recessive and homozygote contrast meta-analysis models to evaluate associations of risk alleles in the COL1A1 (rs1800012), COL2A1 (rs412777), CTR (rs1801197), ESR1 (rs2234693 & rs9340799) LRP5 (rs3736228), VDR (rs10735810, rs7975232, rs1544410 & rs731236) genes with fracture incidence. Results: Eligible study quality was generally low (7/11) and no significant overall effect was found for any genetic variant with any comparison model (p >0.05). A trivial reduction in fracture risk was found for female participants with the COL1A1 Sp1 (rs1800012) T allele (OR = 0.48, 95% CI = 0.25 – 0.91, p = 0.03, d = -0.18). Conclusions: No overall effect was found from the pooled results of included genetic variants on fracture risk in physically active participants. The COL1A1 Sp1 rs1800012 T allele may reduce fracture risk in physically active females but further high-quality research with sex-specific analysis is required. Trial Registration: (PROSPERO; CRD42018115008).
published_date 2020-06-16T04:48:42Z
_version_ 1857437169069588480
score 11.461559

Similar Items