PMID- 29093303
OWN - NLM
STAT- MEDLINE
DCOM- 20180524
LR  - 20181202
IS  - 1349-9092 (Electronic)
IS  - 0917-5040 (Print)
IS  - 0917-5040 (Linking)
VI  - 28
IP  - 1
DP  - 2018 Jan 5
TI  - Quantitative Relationship Between Cumulative Risk Alleles Based on Genome-Wide 
      Association Studies and Type 2 Diabetes Mellitus: A Systematic Review and 
      Meta-analysis.
PG  - 3-18
LID - 10.2188/jea.JE20160151 [doi]
AB  - 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-DeltaRA) 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-DeltaRA 
      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-DeltaRA 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.
FAU - Kodama, Satoru
AU  - Kodama S
AD  - Department of Laboratory Medicine and Clinical Epidemiology for Prevention of 
      Noncommunicable Niigata University Graduate School of Medical and Dental 
      Sciences.
FAU - Fujihara, Kazuya
AU  - Fujihara K
AD  - Department of Hematology, Endocrinology and Metabolism, Niigata University 
      Faculty of Medicine.
FAU - Ishiguro, Hajime
AU  - Ishiguro H
AD  - Department of Hematology, Endocrinology and Metabolism, Niigata University 
      Faculty of Medicine.
FAU - Horikawa, Chika
AU  - Horikawa C
AD  - Department of Health and Nutrition, Faculty of Human Life Studies, University of 
      Niigata Prefecture.
FAU - Ohara, Nobumasa
AU  - Ohara N
AD  - Department of Hematology, Endocrinology and Metabolism, Niigata University 
      Faculty of Medicine.
FAU - Yachi, Yoko
AU  - Yachi Y
AD  - Department of Administrative Dietetics, Faculty of Health and Nutrition, 
      Yamanashi Gakuin University.
FAU - Tanaka, Shiro
AU  - Tanaka S
AD  - Department of Clinical Trial, Design & Management, Translational Research Center, 
      Kyoto University Hospital.
FAU - Shimano, Hitoshi
AU  - Shimano H
AD  - Department of Internal Medicine, University of Tsukuba Institute of Clinical 
      Medicine.
FAU - Kato, Kiminori
AU  - Kato K
AD  - Department of Laboratory Medicine and Clinical Epidemiology for Prevention of 
      Noncommunicable Niigata University Graduate School of Medical and Dental 
      Sciences.
FAU - Hanyu, Osamu
AU  - Hanyu O
AD  - Department of Hematology, Endocrinology and Metabolism, Niigata University 
      Faculty of Medicine.
FAU - Sone, Hirohito
AU  - Sone H
AD  - Department of Hematology, Endocrinology and Metabolism, Niigata University 
      Faculty of Medicine.
LA  - eng
PT  - Journal Article
PT  - Meta-Analysis
PT  - Review
PT  - Systematic Review
DEP - 20171025
PL  - Japan
TA  - J Epidemiol
JT  - Journal of epidemiology
JID - 9607688
SB  - IM
MH  - Alleles
MH  - Diabetes Mellitus, Type 2/*genetics
MH  - *Genetic Predisposition to Disease
MH  - Genome-Wide Association Study
MH  - Humans
PMC - PMC5742374
OTO - NOTNLM
OT  - genome-wide association studies
OT  - meta-analysis
OT  - risk allele
OT  - type 2 diabetes mellitus
EDAT- 2017/11/03 06:00
MHDA- 2018/05/25 06:00
PMCR- 2018/01/05
CRDT- 2017/11/03 06:00
PHST- 2017/11/03 06:00 [pubmed]
PHST- 2018/05/25 06:00 [medline]
PHST- 2017/11/03 06:00 [entrez]
PHST- 2018/01/05 00:00 [pmc-release]
AID - JE20160151 [pii]
AID - 10.2188/jea.JE20160151 [doi]
PST - ppublish
SO  - J Epidemiol. 2018 Jan 5;28(1):3-18. doi: 10.2188/jea.JE20160151. Epub 2017 Oct 
      25.