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Diabetes in China: Epidemiology and Genetic Risk Factors and Their Clinical Utility in Personalized Medication.

Abstract The incidence of type 2 diabetes (T2D) has rapidly increased over recent decades, and T2D has become a leading public health challenge in China. Compared with European descents, Chinese patients with T2D are diagnosed at a relatively young age and low BMI. A better understanding of the factors contributing to the diabetes epidemic is crucial for determining future prevention and intervention programs. In addition to environmental factors, genetic factors contribute substantially to the development of T2D. To date, more than 100 susceptibility loci for T2D have been identified. Individually, most T2D genetic variants have a small effect size (10-20% increased risk for T2D per risk allele); however, a genetic risk score that combines multiple T2D loci could be used to predict the risk of T2D and to identify individuals who are at a high risk. Furthermore, individualized antidiabetes treatment should be a top priority to prevent complications and mortality. In this article, we review the epidemiological trends and recent progress in the understanding of T2D genetic etiology and further discuss personalized medicine involved in the treatment of T2D.
PMID
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Authors

Mayor MeshTerms
Keywords
Journal Title diabetes
Publication Year Start




PMID- 29263166
OWN - NLM
STAT- MEDLINE
DCOM- 20180111
LR  - 20180111
IS  - 1939-327X (Electronic)
IS  - 0012-1797 (Linking)
VI  - 67
IP  - 1
DP  - 2018 Jan
TI  - Diabetes in China: Epidemiology and Genetic Risk Factors and Their Clinical
      Utility in Personalized Medication.
PG  - 3-11
LID - 10.2337/dbi17-0013 [doi]
AB  - The incidence of type 2 diabetes (T2D) has rapidly increased over recent decades,
      and T2D has become a leading public health challenge in China. Compared with
      European descents, Chinese patients with T2D are diagnosed at a relatively young 
      age and low BMI. A better understanding of the factors contributing to the
      diabetes epidemic is crucial for determining future prevention and intervention
      programs. In addition to environmental factors, genetic factors contribute
      substantially to the development of T2D. To date, more than 100 susceptibility
      loci for T2D have been identified. Individually, most T2D genetic variants have a
      small effect size (10-20% increased risk for T2D per risk allele); however, a
      genetic risk score that combines multiple T2D loci could be used to predict the
      risk of T2D and to identify individuals who are at a high risk. Furthermore,
      individualized antidiabetes treatment should be a top priority to prevent
      complications and mortality. In this article, we review the epidemiological
      trends and recent progress in the understanding of T2D genetic etiology and
      further discuss personalized medicine involved in the treatment of T2D.
CI  - (c) 2017 by the American Diabetes Association.
FAU - Hu, Cheng
AU  - Hu C
AD  - Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus,
      Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Jiao Tong
      University Affiliated Sixth People's Hospital, Shanghai, People's Republic of
      China.
AD  - Institute for Metabolic Disease, Fengxian Central Hospital Affiliated to Southern
      Medical University, Shanghai, People's Republic of China.
FAU - Jia, Weiping
AU  - Jia W
AUID- ORCID: http://orcid.org/0000-0002-6244-2168
AD  - Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus,
      Shanghai Clinical Center for Endocrine and Metabolic Diseases, Shanghai Jiao Tong
      University Affiliated Sixth People's Hospital, Shanghai, People's Republic of
      China [email protected]
LA  - eng
PT  - Journal Article
PT  - Review
PL  - United States
TA  - Diabetes
JT  - Diabetes
JID - 0372763
SB  - AIM
SB  - IM
MH  - China/epidemiology
MH  - Diabetes Mellitus, Type 2/*epidemiology/*genetics
MH  - Genetic Predisposition to Disease/genetics
MH  - Humans
MH  - Precision Medicine/*methods
EDAT- 2017/12/22 06:00
MHDA- 2018/01/13 06:00
CRDT- 2017/12/22 06:00
PHST- 2017/07/31 00:00 [received]
PHST- 2017/10/03 00:00 [accepted]
PHST- 2017/12/22 06:00 [entrez]
PHST- 2017/12/22 06:00 [pubmed]
PHST- 2018/01/13 06:00 [medline]
AID - 67/1/3 [pii]
AID - 10.2337/dbi17-0013 [doi]
PST - ppublish
SO  - Diabetes. 2018 Jan;67(1):3-11. doi: 10.2337/dbi17-0013.