Quantitative Relationship Between Cumulative Risk Alleles Based on Genome-Wide Association Studies and Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis
Many epidemiological studies have assessed the genetic risk of having undiagnosed or of developing type 2 diabetes mellitus (T2DM) using several single nucleotide polymorphisms (SNPs) based on findings of genome-wide association studies (GWAS). However, the quantitative association of cumulative ris...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Japan Epidemiological Association
2018-01-01
|
Series: | Journal of Epidemiology |
Subjects: | |
Online Access: | https://www.jstage.jst.go.jp/article/jea/28/1/28_JE20160151/_pdf |
id |
doaj-1ef30672f447408999a617efc9f7a781 |
---|---|
record_format |
Article |
spelling |
doaj-1ef30672f447408999a617efc9f7a7812020-11-24T22:36:30ZengJapan Epidemiological AssociationJournal of Epidemiology0917-50401349-90922018-01-0128131810.2188/jea.JE20160151Quantitative Relationship Between Cumulative Risk Alleles Based on Genome-Wide Association Studies and Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysisSatoru Kodama0Kazuya Fujihara1Hajime Ishiguro2Chika Horikawa3Nobumasa Ohara4Yoko Yachi5Shiro Tanaka6Hitoshi Shimano7Kiminori Kato8Osamu Hanyu9Hirohito Sone10Department of Laboratory Medicine and Clinical Epidemiology for Prevention of Noncommunicable Niigata University Graduate School of Medical and Dental Sciences, Niigata, JapanDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, JapanDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, JapanDepartment of Health and Nutrition, Faculty of Human Life Studies, University of Niigata Prefecture, Niigata, JapanDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, JapanDepartment of Administrative Dietetics, Faculty of Health and Nutrition, Yamanashi Gakuin University, Yamanashi, JapanDepartment of Clinical Trial, Design & Management, Translational Research Center, Kyoto University Hospital, JapanDepartment of Internal Medicine, University of Tsukuba Institute of Clinical Medicine, Ibaraki, JapanDepartment of Laboratory Medicine and Clinical Epidemiology for Prevention of Noncommunicable Niigata University Graduate School of Medical and Dental Sciences, Niigata, JapanDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, JapanDepartment of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine, Niigata, JapanMany epidemiological studies have assessed the genetic risk of having undiagnosed or of developing type 2 diabetes mellitus (T2DM) using several single nucleotide polymorphisms (SNPs) based on findings of genome-wide association studies (GWAS). However, the quantitative association of cumulative risk alleles (RAs) of such SNPs with T2DM risk has been unclear. The aim of this meta-analysis is to review the strength of the association between cumulative RAs and T2DM risk. Systematic literature searches were conducted for cross-sectional or longitudinal studies that examined odds ratios (ORs) for T2DM in relation to genetic profiles. Logarithm of the estimated OR (log OR) of T2DM for 1 increment in RAs carried (1-ΔRA) in each study was pooled using a random-effects model. There were 46 eligible studies that included 74,880 cases among 249,365 participants. In 32 studies with a cross-sectional design, the pooled OR for T2DM morbidity for 1-ΔRA was 1.16 (95% confidence interval [CI], 1.13–1.19). In 15 studies that had a longitudinal design, the OR for incident T2DM was 1.10 (95% CI, 1.08–1.13). There was large heterogeneity in the magnitude of log OR (P < 0.001 for both cross-sectional studies and longitudinal studies). The top 10 commonly used genes significantly explained the variance in the log OR (P = 0.04 for cross-sectional studies; P = 0.006 for longitudinal studies). The current meta-analysis indicated that carrying 1-ΔRA in T2DM-associated SNPs was associated with a modest risk of prevalent or incident T2DM, although the heterogeneity in the used genes among studies requires us to interpret the results with caution.https://www.jstage.jst.go.jp/article/jea/28/1/28_JE20160151/_pdfgenome-wide association studiesrisk alleletype 2 diabetes mellitusmeta-analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Satoru Kodama Kazuya Fujihara Hajime Ishiguro Chika Horikawa Nobumasa Ohara Yoko Yachi Shiro Tanaka Hitoshi Shimano Kiminori Kato Osamu Hanyu Hirohito Sone |
spellingShingle |
Satoru Kodama Kazuya Fujihara Hajime Ishiguro Chika Horikawa Nobumasa Ohara Yoko Yachi Shiro Tanaka Hitoshi Shimano Kiminori Kato Osamu Hanyu Hirohito Sone Quantitative Relationship Between Cumulative Risk Alleles Based on Genome-Wide Association Studies and Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis Journal of Epidemiology genome-wide association studies risk allele type 2 diabetes mellitus meta-analysis |
author_facet |
Satoru Kodama Kazuya Fujihara Hajime Ishiguro Chika Horikawa Nobumasa Ohara Yoko Yachi Shiro Tanaka Hitoshi Shimano Kiminori Kato Osamu Hanyu Hirohito Sone |
author_sort |
Satoru Kodama |
title |
Quantitative Relationship Between Cumulative Risk Alleles Based on Genome-Wide Association Studies and Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis |
title_short |
Quantitative Relationship Between Cumulative Risk Alleles Based on Genome-Wide Association Studies and Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis |
title_full |
Quantitative Relationship Between Cumulative Risk Alleles Based on Genome-Wide Association Studies and Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis |
title_fullStr |
Quantitative Relationship Between Cumulative Risk Alleles Based on Genome-Wide Association Studies and Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis |
title_full_unstemmed |
Quantitative Relationship Between Cumulative Risk Alleles Based on Genome-Wide Association Studies and Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis |
title_sort |
quantitative relationship between cumulative risk alleles based on genome-wide association studies and type 2 diabetes mellitus: a systematic review and meta-analysis |
publisher |
Japan Epidemiological Association |
series |
Journal of Epidemiology |
issn |
0917-5040 1349-9092 |
publishDate |
2018-01-01 |
description |
Many epidemiological studies have assessed the genetic risk of having undiagnosed or of developing type 2 diabetes mellitus (T2DM) using several single nucleotide polymorphisms (SNPs) based on findings of genome-wide association studies (GWAS). However, the quantitative association of cumulative risk alleles (RAs) of such SNPs with T2DM risk has been unclear. The aim of this meta-analysis is to review the strength of the association between cumulative RAs and T2DM risk. Systematic literature searches were conducted for cross-sectional or longitudinal studies that examined odds ratios (ORs) for T2DM in relation to genetic profiles. Logarithm of the estimated OR (log OR) of T2DM for 1 increment in RAs carried (1-ΔRA) in each study was pooled using a random-effects model. There were 46 eligible studies that included 74,880 cases among 249,365 participants. In 32 studies with a cross-sectional design, the pooled OR for T2DM morbidity for 1-ΔRA was 1.16 (95% confidence interval [CI], 1.13–1.19). In 15 studies that had a longitudinal design, the OR for incident T2DM was 1.10 (95% CI, 1.08–1.13). There was large heterogeneity in the magnitude of log OR (P < 0.001 for both cross-sectional studies and longitudinal studies). The top 10 commonly used genes significantly explained the variance in the log OR (P = 0.04 for cross-sectional studies; P = 0.006 for longitudinal studies). The current meta-analysis indicated that carrying 1-ΔRA in T2DM-associated SNPs was associated with a modest risk of prevalent or incident T2DM, although the heterogeneity in the used genes among studies requires us to interpret the results with caution. |
topic |
genome-wide association studies risk allele type 2 diabetes mellitus meta-analysis |
url |
https://www.jstage.jst.go.jp/article/jea/28/1/28_JE20160151/_pdf |
work_keys_str_mv |
AT satorukodama quantitativerelationshipbetweencumulativeriskallelesbasedongenomewideassociationstudiesandtype2diabetesmellitusasystematicreviewandmetaanalysis AT kazuyafujihara quantitativerelationshipbetweencumulativeriskallelesbasedongenomewideassociationstudiesandtype2diabetesmellitusasystematicreviewandmetaanalysis AT hajimeishiguro quantitativerelationshipbetweencumulativeriskallelesbasedongenomewideassociationstudiesandtype2diabetesmellitusasystematicreviewandmetaanalysis AT chikahorikawa quantitativerelationshipbetweencumulativeriskallelesbasedongenomewideassociationstudiesandtype2diabetesmellitusasystematicreviewandmetaanalysis AT nobumasaohara quantitativerelationshipbetweencumulativeriskallelesbasedongenomewideassociationstudiesandtype2diabetesmellitusasystematicreviewandmetaanalysis AT yokoyachi quantitativerelationshipbetweencumulativeriskallelesbasedongenomewideassociationstudiesandtype2diabetesmellitusasystematicreviewandmetaanalysis AT shirotanaka quantitativerelationshipbetweencumulativeriskallelesbasedongenomewideassociationstudiesandtype2diabetesmellitusasystematicreviewandmetaanalysis AT hitoshishimano quantitativerelationshipbetweencumulativeriskallelesbasedongenomewideassociationstudiesandtype2diabetesmellitusasystematicreviewandmetaanalysis AT kiminorikato quantitativerelationshipbetweencumulativeriskallelesbasedongenomewideassociationstudiesandtype2diabetesmellitusasystematicreviewandmetaanalysis AT osamuhanyu quantitativerelationshipbetweencumulativeriskallelesbasedongenomewideassociationstudiesandtype2diabetesmellitusasystematicreviewandmetaanalysis AT hirohitosone quantitativerelationshipbetweencumulativeriskallelesbasedongenomewideassociationstudiesandtype2diabetesmellitusasystematicreviewandmetaanalysis |
_version_ |
1725719883282382848 |