PMID- 30477970
OWN - NLM
STAT- MEDLINE
DCOM- 20190528
LR  - 20190528
IS  - 1878-0210 (Electronic)
IS  - 1878-0210 (Linking)
VI  - 13
IP  - 1
DP  - 2019 Feb
TI  - Predicting risk of type 2 diabetes mellitus in Korean adults aged 40-69 by 
      integrating clinical and genetic factors.
PG  - 3-10
LID - S1751-9918(18)30197-9 [pii]
LID - 10.1016/j.pcd.2018.07.004 [doi]
AB  - AIMS: The purpose of our investigation was to identify the genetic and clinical 
      risk factors of type 2 diabetes mellitus (T2DM) and to predict the incidence of 
      T2DM in Korean adults aged 40-69 at follow-up intervals of 5, 7, and 10years. 
      METHODS: Korean Genome and Epidemiology Study (KoGES) cohort data (n=10,030) were 
      used to develop T2DM prediction models. Both clinical-only and integrated 
      (clinical factors+genetic factors) models were derived using the Cox proportional 
      hazards model. Internal validation was performed to evaluate the prediction 
      capabilities of the clinical and integrated models. RESULTS: The clinical model 
      included 10 selected clinical risk factors. The selected SNPs for the integrated 
      model were rs9311835 in PTPRG, rs10975266 in RIC1, rs11057302 in TMED2, 
      rs17154562 in ADAM12, and rs8038172 in CGNL1. For the clinical model, validated 
      c-indices with time points of 5, 7, and 10 years were 0.744, 0.732, and 0.732, 
      respectively. Slightly higher validated c-indices were observed for the 
      integrated model at 0.747, 0.736, and 0.738, respectively. The p-values of the 
      survival net reclassification improvement (NRI) for the SNP point-based score 
      were statistically significant. CONCLUSIONS: Clinical and integrated models can 
      be effectively used to predict the incidence of T2DM in Koreans.
CI  - Copyright (c) 2018. Published by Elsevier Ltd.
FAU - Kim, Soo-Hwan
AU  - Kim SH
AD  - Bio-Age Medical Research Institute, Bio-Age Inc., 644, Bongeunsa-ro, Gangnam-gu, 
      Seoul, 06170, Republic of Korea. Electronic address: kim.soohwan@daewoong.co.kr.
FAU - Lee, Eun-Sol
AU  - Lee ES
AD  - Bio-Age Medical Research Institute, Bio-Age Inc., 644, Bongeunsa-ro, Gangnam-gu, 
      Seoul, 06170, Republic of Korea. Electronic address: ilikerefill@daewoong.co.kr.
FAU - Yoo, Jinho
AU  - Yoo J
AD  - YooJinBioSoft Inc., 24, Jeongbalsan-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do, 
      10403, Republic of Korea. Electronic address: jino12@yoojinbiosoft.com.
FAU - Kim, Yangseok
AU  - Kim Y
AD  - Bio-Age Medical Research Institute, Bio-Age Inc., 644, Bongeunsa-ro, Gangnam-gu, 
      Seoul, 06170, Republic of Korea; College of Korean Medicine, Kyung Hee 
      University, 26, Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Republic of Korea. 
      Electronic address: yskim1158@khu.ac.kr.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20181123
PL  - England
TA  - Prim Care Diabetes
JT  - Primary care diabetes
JID - 101463825
RN  - 0 (Genetic Markers)
SB  - IM
MH  - Adult
MH  - Aged
MH  - Diabetes Mellitus, Type 2/diagnosis/*epidemiology/*genetics
MH  - Female
MH  - Genetic Markers
MH  - Genetic Predisposition to Disease
MH  - Humans
MH  - Incidence
MH  - Male
MH  - Middle Aged
MH  - Models, Genetic
MH  - Phenotype
MH  - *Polymorphism, Single Nucleotide
MH  - Prognosis
MH  - Republic of Korea/epidemiology
MH  - Risk Assessment
MH  - Risk Factors
MH  - Time Factors
OTO - NOTNLM
OT  - Genetic risk score
OT  - Risk factor
OT  - Risk prediction
OT  - Single-nucleotide polymorphism
EDAT- 2018/11/28 06:00
MHDA- 2019/05/29 06:00
CRDT- 2018/11/28 06:00
PHST- 2018/01/28 00:00 [received]
PHST- 2018/05/23 00:00 [revised]
PHST- 2018/07/01 00:00 [accepted]
PHST- 2018/11/28 06:00 [pubmed]
PHST- 2019/05/29 06:00 [medline]
PHST- 2018/11/28 06:00 [entrez]
AID - S1751-9918(18)30197-9 [pii]
AID - 10.1016/j.pcd.2018.07.004 [doi]
PST - ppublish
SO  - Prim Care Diabetes. 2019 Feb;13(1):3-10. doi: 10.1016/j.pcd.2018.07.004. Epub 
      2018 Nov 23.