Association study of genetic variants of 17 diabetes-related genes/loci and cardiovascular risk and diabetic nephropathy in the Chinese She population (中国畲族人群17个糖尿病相关基因位点的遗传变异与心血管风险和糖尿病肾病的相关性)

Background Genetic determinations are important in type 2 diabetes (T2DM) pathology. We investigated associations between genetic variants of 17 diabetes‐related genes/loci, T2DM and diabetic complications in Chinese She subjects. Methods A comprehensive gene‐based association study was conducted us...

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Published inJournal of diabetes Vol. 5; no. 2; pp. 136 - 145
Main Authors Chen, Gang, Xu, Yuan, Lin, Yinghua, Lai, Xiaolan, Yao, Jin, Huang, Baoying, Chen, Zichun, Huang, Huibin, Fu, Xianguo, Lin, Lixiang, Lai, Shenghan, Wen, Junping
Format Journal Article
LanguageEnglish
Published Australia Blackwell Publishing Ltd 01.06.2013
John Wiley & Sons, Inc
Subjects
Online AccessGet full text
ISSN1753-0393
1753-0407
1753-0407
DOI10.1111/1753-0407.12025

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Abstract Background Genetic determinations are important in type 2 diabetes (T2DM) pathology. We investigated associations between genetic variants of 17 diabetes‐related genes/loci, T2DM and diabetic complications in Chinese She subjects. Methods A comprehensive gene‐based association study was conducted using 17 single nucleotide polymorphisms in Chinese She subjects with normal glucose tolerance (n = 1119), impaired glucose regulation (n = 1767), and T2DM (n = 443). We applied major abnormal Minnesota Code findings to predict cardiovascular risk and estimated glomerular filtration rate to assess kidney function. Results Nine variants in FTO rs8050136, WFS1 rs10010131, CDKN2A/B rs10811661, KCNJ11 rs5219, CDC123/CAMK1D rs12779790, JAZF1 rs864745, SLC30A8 rs13266634, CDKAL1 rs10946398, and HHEX/IDE rs5015480 were significantly associated with T2DM (P < 0.05). Single nucleotide polymorphisms in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMK1D rs12779790, JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were associated with T2DM and impaired glucose regulation. Risk alleles in WFS1 rs10010131, IGF2BP2 rs4402960, CDKAL1 rs10946398, FTO rs8050136, KCNQ1 rs2237897, and ADAMTS9 rs4607103 were significantly associated with decreased homeostatic model assessment (HOMA)‐β (P < 0.05). After adjusting for age, gender and body mass index, genetic variants JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were significantly related to reduced estimated glomerular filtration rate (P < 0.05). Genetic variants in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMID rs12779790, JAZF1 rs864745, FTO rs80501360, CDKAL1 rs10946398, and HHEX/IDE rs5015480 correlated with abnormal major Minnesota Code findings (P < 0.05). Conclusion Variants in WFS1, CDKN2A/B, KCNJ11, CDC123/CAMK1D, JAZF1, SLC30A8, FTO, CDKAL1, and HHEX/IDE genes are significantly associated with T2DM in She Chinese subjects. JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with diabetic nephropathy. WFS1, CDKN2A/B, CDC123/CAMK1D, JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with cardiovascular risk. 摘要 背景 遗传是决定2型糖尿病发病的重要因素。我们分析了中国畲族人群17个糖尿病相关基因位点的遗传变异与2型糖尿病及并发症之间的相关性。 方法 一项全面的以基因为基础的相关性研究,评估了中国畲族人群的糖耐量正常者(n=1119)、糖耐量异常者(n=1767)和2型糖尿病患者(n=443)的17个基因的单核苷酸多态性(SNP)。以主要的明尼苏达编码异常预测心血管风险,用估算肾小球滤过率评估肾功能。 结果 FTO rs8050136,WFS1 rs10010131,CDKN2A/B rs10811661,KCNJ11 rs5219,CDC123/CAMK1D rs12779790,JAZF1 rs864745,SLC30A8 rs13266634,CDKAL1 rs10946398,和HHEX/IDE rs5015480等9个基因位点变异与2型糖尿病显著相关 (P<0.05)。WFS1 rs10010131,CDKN2A/B rs10811661,CDC123/CAMK1D rs12779790,JAZF1 rs864745,FTO rs8050136和HHEX/IDE rs5015480等的SNP与2型糖尿病和糖耐量异常相关。WFS1 rs10010131,IGF2BP2 rs4402960,CDKAL1 rs10946398,FTO rs8050136,KCNQ1 rs2237897和 ADAMTS9 rs4607103等的风险等位基因与HOMA‐β指数降低显著相关(P<0.05)。校正年龄、性别和体重指数后,JAZF1 rs864745,FTO rs8050136和 HHEX/IDE rs5015480的基因变异与估算肾小球滤过率下降显著相关(P<0.05)。WFS1 rs10010131,CDKN2A/B rs10811661,CDC123/CAMID rs12779790,JAZF1 rs864745,FTO rs80501360, CDKAL1 rs10946398和HHEX/IDE rs5015480 等的基因变异与主要的明尼苏达编码异常显著相关(P< 0.05)。 结论 WFS1,CDKN2A/B,KCNJ11,CDC123/CAMK1D,JAZF1,SLC30A8,FTO,CDKAL1和 HHEX/IDE等的基因变异与中国畲族人群的2型糖尿病显著相关。JAZF1,FTO,CDKAL1和 HHEX/IDE等的基因变异与糖尿病肾病相关。WFS1, CDKN2A/B,CDC123/CAMK1D,JAZF1,FTO,CDKAL1和 HHEX/IDE等的基因变异与心血管风险相关。
AbstractList Genetic determinations are important in type 2 diabetes (T2DM) pathology. We investigated associations between genetic variants of 17 diabetes-related genes/loci, T2DM and diabetic complications in Chinese She subjects.BACKGROUNDGenetic determinations are important in type 2 diabetes (T2DM) pathology. We investigated associations between genetic variants of 17 diabetes-related genes/loci, T2DM and diabetic complications in Chinese She subjects.A comprehensive gene-based association study was conducted using 17 single nucleotide polymorphisms in Chinese She subjects with normal glucose tolerance (n = 1119), impaired glucose regulation (n = 1767), and T2DM (n = 443). We applied major abnormal Minnesota Code findings to predict cardiovascular risk and estimated glomerular filtration rate to assess kidney function.METHODSA comprehensive gene-based association study was conducted using 17 single nucleotide polymorphisms in Chinese She subjects with normal glucose tolerance (n = 1119), impaired glucose regulation (n = 1767), and T2DM (n = 443). We applied major abnormal Minnesota Code findings to predict cardiovascular risk and estimated glomerular filtration rate to assess kidney function.Nine variants in FTO rs8050136, WFS1 rs10010131, CDKN2A/B rs10811661, KCNJ11 rs5219, CDC123/CAMK1D rs12779790, JAZF1 rs864745, SLC30A8 rs13266634, CDKAL1 rs10946398, and HHEX/IDE rs5015480 were significantly associated with T2DM (P < 0.05). Single nucleotide polymorphisms in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMK1D rs12779790, JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were associated with T2DM and impaired glucose regulation. Risk alleles in WFS1 rs10010131, IGF2BP2 rs4402960, CDKAL1 rs10946398, FTO rs8050136, KCNQ1 rs2237897, and ADAMTS9 rs4607103 were significantly associated with decreased homeostatic model assessment (HOMA)-β (P < 0.05). After adjusting for age, gender and body mass index, genetic variants JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were significantly related to reduced estimated glomerular filtration rate (P < 0.05). Genetic variants in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMID rs12779790, JAZF1 rs864745, FTO rs80501360, CDKAL1 rs10946398, and HHEX/IDE rs5015480 correlated with abnormal major Minnesota Code findings (P < 0.05).RESULTSNine variants in FTO rs8050136, WFS1 rs10010131, CDKN2A/B rs10811661, KCNJ11 rs5219, CDC123/CAMK1D rs12779790, JAZF1 rs864745, SLC30A8 rs13266634, CDKAL1 rs10946398, and HHEX/IDE rs5015480 were significantly associated with T2DM (P < 0.05). Single nucleotide polymorphisms in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMK1D rs12779790, JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were associated with T2DM and impaired glucose regulation. Risk alleles in WFS1 rs10010131, IGF2BP2 rs4402960, CDKAL1 rs10946398, FTO rs8050136, KCNQ1 rs2237897, and ADAMTS9 rs4607103 were significantly associated with decreased homeostatic model assessment (HOMA)-β (P < 0.05). After adjusting for age, gender and body mass index, genetic variants JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were significantly related to reduced estimated glomerular filtration rate (P < 0.05). Genetic variants in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMID rs12779790, JAZF1 rs864745, FTO rs80501360, CDKAL1 rs10946398, and HHEX/IDE rs5015480 correlated with abnormal major Minnesota Code findings (P < 0.05).Variants in WFS1, CDKN2A/B, KCNJ11, CDC123/CAMK1D, JAZF1, SLC30A8, FTO, CDKAL1, and HHEX/IDE genes are significantly associated with T2DM in She Chinese subjects. JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with diabetic nephropathy. WFS1, CDKN2A/B, CDC123/CAMK1D, JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with cardiovascular risk.CONCLUSIONVariants in WFS1, CDKN2A/B, KCNJ11, CDC123/CAMK1D, JAZF1, SLC30A8, FTO, CDKAL1, and HHEX/IDE genes are significantly associated with T2DM in She Chinese subjects. JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with diabetic nephropathy. WFS1, CDKN2A/B, CDC123/CAMK1D, JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with cardiovascular risk.
Background Genetic determinations are important in type 2 diabetes (T2DM) pathology. We investigated associations between genetic variants of 17 diabetes‐related genes/loci, T2DM and diabetic complications in Chinese She subjects. Methods A comprehensive gene‐based association study was conducted using 17 single nucleotide polymorphisms in Chinese She subjects with normal glucose tolerance (n = 1119), impaired glucose regulation (n = 1767), and T2DM (n = 443). We applied major abnormal Minnesota Code findings to predict cardiovascular risk and estimated glomerular filtration rate to assess kidney function. Results Nine variants in FTO rs8050136, WFS1 rs10010131, CDKN2A/B rs10811661, KCNJ11 rs5219, CDC123/CAMK1D rs12779790, JAZF1 rs864745, SLC30A8 rs13266634, CDKAL1 rs10946398, and HHEX/IDE rs5015480 were significantly associated with T2DM (P < 0.05). Single nucleotide polymorphisms in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMK1D rs12779790, JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were associated with T2DM and impaired glucose regulation. Risk alleles in WFS1 rs10010131, IGF2BP2 rs4402960, CDKAL1 rs10946398, FTO rs8050136, KCNQ1 rs2237897, and ADAMTS9 rs4607103 were significantly associated with decreased homeostatic model assessment (HOMA)‐β (P < 0.05). After adjusting for age, gender and body mass index, genetic variants JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were significantly related to reduced estimated glomerular filtration rate (P < 0.05). Genetic variants in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMID rs12779790, JAZF1 rs864745, FTO rs80501360, CDKAL1 rs10946398, and HHEX/IDE rs5015480 correlated with abnormal major Minnesota Code findings (P < 0.05). Conclusion Variants in WFS1, CDKN2A/B, KCNJ11, CDC123/CAMK1D, JAZF1, SLC30A8, FTO, CDKAL1, and HHEX/IDE genes are significantly associated with T2DM in She Chinese subjects. JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with diabetic nephropathy. WFS1, CDKN2A/B, CDC123/CAMK1D, JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with cardiovascular risk. 摘要 背景 遗传是决定2型糖尿病发病的重要因素。我们分析了中国畲族人群17个糖尿病相关基因位点的遗传变异与2型糖尿病及并发症之间的相关性。 方法 一项全面的以基因为基础的相关性研究,评估了中国畲族人群的糖耐量正常者(n=1119)、糖耐量异常者(n=1767)和2型糖尿病患者(n=443)的17个基因的单核苷酸多态性(SNP)。以主要的明尼苏达编码异常预测心血管风险,用估算肾小球滤过率评估肾功能。 结果 FTO rs8050136,WFS1 rs10010131,CDKN2A/B rs10811661,KCNJ11 rs5219,CDC123/CAMK1D rs12779790,JAZF1 rs864745,SLC30A8 rs13266634,CDKAL1 rs10946398,和HHEX/IDE rs5015480等9个基因位点变异与2型糖尿病显著相关 (P<0.05)。WFS1 rs10010131,CDKN2A/B rs10811661,CDC123/CAMK1D rs12779790,JAZF1 rs864745,FTO rs8050136和HHEX/IDE rs5015480等的SNP与2型糖尿病和糖耐量异常相关。WFS1 rs10010131,IGF2BP2 rs4402960,CDKAL1 rs10946398,FTO rs8050136,KCNQ1 rs2237897和 ADAMTS9 rs4607103等的风险等位基因与HOMA‐β指数降低显著相关(P<0.05)。校正年龄、性别和体重指数后,JAZF1 rs864745,FTO rs8050136和 HHEX/IDE rs5015480的基因变异与估算肾小球滤过率下降显著相关(P<0.05)。WFS1 rs10010131,CDKN2A/B rs10811661,CDC123/CAMID rs12779790,JAZF1 rs864745,FTO rs80501360, CDKAL1 rs10946398和HHEX/IDE rs5015480 等的基因变异与主要的明尼苏达编码异常显著相关(P< 0.05)。 结论 WFS1,CDKN2A/B,KCNJ11,CDC123/CAMK1D,JAZF1,SLC30A8,FTO,CDKAL1和 HHEX/IDE等的基因变异与中国畲族人群的2型糖尿病显著相关。JAZF1,FTO,CDKAL1和 HHEX/IDE等的基因变异与糖尿病肾病相关。WFS1, CDKN2A/B,CDC123/CAMK1D,JAZF1,FTO,CDKAL1和 HHEX/IDE等的基因变异与心血管风险相关。
Genetic determinations are important in type 2 diabetes (T2DM) pathology. We investigated associations between genetic variants of 17 diabetes-related genes/loci, T2DM and diabetic complications in Chinese She subjects. A comprehensive gene-based association study was conducted using 17 single nucleotide polymorphisms in Chinese She subjects with normal glucose tolerance (n = 1119), impaired glucose regulation (n = 1767), and T2DM (n = 443). We applied major abnormal Minnesota Code findings to predict cardiovascular risk and estimated glomerular filtration rate to assess kidney function. Nine variants in FTO rs8050136, WFS1 rs10010131, CDKN2A/B rs10811661, KCNJ11 rs5219, CDC123/CAMK1D rs12779790, JAZF1 rs864745, SLC30A8 rs13266634, CDKAL1 rs10946398, and HHEX/IDE rs5015480 were significantly associated with T2DM (P < 0.05). Single nucleotide polymorphisms in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMK1D rs12779790, JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were associated with T2DM and impaired glucose regulation. Risk alleles in WFS1 rs10010131, IGF2BP2 rs4402960, CDKAL1 rs10946398, FTO rs8050136, KCNQ1 rs2237897, and ADAMTS9 rs4607103 were significantly associated with decreased homeostatic model assessment (HOMA)-β (P < 0.05). After adjusting for age, gender and body mass index, genetic variants JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were significantly related to reduced estimated glomerular filtration rate (P < 0.05). Genetic variants in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMID rs12779790, JAZF1 rs864745, FTO rs80501360, CDKAL1 rs10946398, and HHEX/IDE rs5015480 correlated with abnormal major Minnesota Code findings (P < 0.05). Variants in WFS1, CDKN2A/B, KCNJ11, CDC123/CAMK1D, JAZF1, SLC30A8, FTO, CDKAL1, and HHEX/IDE genes are significantly associated with T2DM in She Chinese subjects. JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with diabetic nephropathy. WFS1, CDKN2A/B, CDC123/CAMK1D, JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with cardiovascular risk.
Background Genetic determinations are important in type 2 diabetes (T2DM) pathology. We investigated associations between genetic variants of 17 diabetes-related genes/loci, T2DM and diabetic complications in Chinese She subjects. Methods A comprehensive gene-based association study was conducted using 17 single nucleotide polymorphisms in Chinese She subjects with normal glucose tolerance (n=1119), impaired glucose regulation (n=1767), and T2DM (n=443). We applied major abnormal Minnesota Code findings to predict cardiovascular risk and estimated glomerular filtration rate to assess kidney function. Results Nine variants in FTO rs8050136, WFS1 rs10010131, CDKN2A/B rs10811661, KCNJ11 rs5219, CDC123/CAMK1D rs12779790, JAZF1 rs864745, SLC30A8 rs13266634, CDKAL1 rs10946398, and HHEX/IDE rs5015480 were significantly associated with T2DM (P<0.05). Single nucleotide polymorphisms in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMK1D rs12779790, JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were associated with T2DM and impaired glucose regulation. Risk alleles in WFS1 rs10010131, IGF2BP2 rs4402960, CDKAL1 rs10946398, FTO rs8050136, KCNQ1 rs2237897, and ADAMTS9 rs4607103 were significantly associated with decreased homeostatic model assessment (HOMA)-[beta] (P<0.05). After adjusting for age, gender and body mass index, genetic variants JAZF1 rs864745, FTO rs8050136, and HHEX/IDE rs5015480 were significantly related to reduced estimated glomerular filtration rate (P<0.05). Genetic variants in WFS1 rs10010131, CDKN2A/B rs10811661, CDC123/CAMID rs12779790, JAZF1 rs864745, FTO rs80501360, CDKAL1 rs10946398, and HHEX/IDE rs5015480 correlated with abnormal major Minnesota Code findings (P<0.05). Conclusion Variants in WFS1, CDKN2A/B, KCNJ11, CDC123/CAMK1D, JAZF1, SLC30A8, FTO, CDKAL1, and HHEX/IDE genes are significantly associated with T2DM in She Chinese subjects. JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with diabetic nephropathy. WFS1, CDKN2A/B, CDC123/CAMK1D, JAZF1, FTO, CDKAL1, and HHEX/IDE are associated with cardiovascular risk. 2群17ä½2 群n=1119n=17672n=44317SNPè¾¾å¿fè¿[double dagger] FTO rs8050136WFS1 rs10010131CDKN2A/B rs10811661KCNJ11 rs5219CDC123/CAMK1D rs12779790JAZF1 rs864745SLC30A8 rs13266634CDKAL1 rs10946398HHEX/IDE rs50154809ä½2 P<0.05WFS1 rs10010131CDKN2A/B rs10811661CDC123/CAMK1D rs12779790JAZF1 rs864745FTO rs8050136HHEX/IDE rs5015480SNP2WFS1 rs10010131IGF2BP2 rs4402960CDKAL1 rs10946398FTO rs8050136KCNQ1 rs2237897 ADAMTS9 rs4607103ä½HOMA-[beta]ä½ZP<0.05é¾,,ä½"JAZF1 rs864745FTO rs8050136 HHEX/IDE rs5015480è¿[double dagger]P<0.05WFS1 rs10010131CDKN2A/B rs10811661CDC123/CAMID rs12779790JAZF1 rs864745FTO rs80501360 CDKAL1 rs10946398HHEX/IDE rs5015480 è¾¾P< 0.05 WFS1CDKN2A/BKCNJ11CDC123/CAMK1DJAZF1SLC30A8FTOCDKAL1 HHEX/IDE群2JAZF1FTOCDKAL1 HHEX/IDEWFS1 CDKN2A/BCDC123/CAMK1DJAZF1FTOCDKAL1 HHEX/IDEå¿f [PUBLICATION ABSTRACT]
Author Lin, Yinghua
Chen, Zichun
Lin, Lixiang
Lai, Shenghan
Chen, Gang
Wen, Junping
Xu, Yuan
Huang, Baoying
Lai, Xiaolan
Fu, Xianguo
Yao, Jin
Huang, Huibin
Author_xml – sequence: 1
  givenname: Gang
  surname: Chen
  fullname: Chen, Gang
  email: chengang18@yahoo.comwenjunping@medmail.com.cnslai@jhmi.edu
  organization: Department of Endocrinology, Fujian Provincial Hospital, Fujian Medical University, Fujian Provincial Hospital Key Laboratory of Endocrinology, Fuzhou
– sequence: 2
  givenname: Yuan
  surname: Xu
  fullname: Xu, Yuan
  organization: Department of Endocrinology, Fujian Provincial Hospital, Fujian Medical University, Fujian Provincial Hospital Key Laboratory of Endocrinology, Fuzhou
– sequence: 3
  givenname: Yinghua
  surname: Lin
  fullname: Lin, Yinghua
  organization: Department of Endocrinology, Ningde Municipal Hospital, Fujian Medical University, Ningde, China
– sequence: 4
  givenname: Xiaolan
  surname: Lai
  fullname: Lai, Xiaolan
  organization: Department of Endocrinology, Fujian Provincial Hospital, Fujian Medical University, Fujian Provincial Hospital Key Laboratory of Endocrinology, Fuzhou
– sequence: 5
  givenname: Jin
  surname: Yao
  fullname: Yao, Jin
  organization: Department of Endocrinology, Fujian Provincial Hospital, Fujian Medical University, Fujian Provincial Hospital Key Laboratory of Endocrinology, Fuzhou
– sequence: 6
  givenname: Baoying
  surname: Huang
  fullname: Huang, Baoying
  organization: Department of Endocrinology, Ningde Municipal Hospital, Fujian Medical University, Ningde, China
– sequence: 7
  givenname: Zichun
  surname: Chen
  fullname: Chen, Zichun
  organization: Department of Endocrinology, Ningde Municipal Hospital, Fujian Medical University, Ningde, China
– sequence: 8
  givenname: Huibin
  surname: Huang
  fullname: Huang, Huibin
  organization: Department of Endocrinology, Fujian Provincial Hospital, Fujian Medical University, Fujian Provincial Hospital Key Laboratory of Endocrinology, Fuzhou
– sequence: 9
  givenname: Xianguo
  surname: Fu
  fullname: Fu, Xianguo
  organization: Department of Endocrinology, Ningde Municipal Hospital, Fujian Medical University, Ningde, China
– sequence: 10
  givenname: Lixiang
  surname: Lin
  fullname: Lin, Lixiang
  organization: Department of Endocrinology, Fujian Provincial Hospital, Fujian Medical University, Fujian Provincial Hospital Key Laboratory of Endocrinology, Fuzhou
– sequence: 11
  givenname: Shenghan
  surname: Lai
  fullname: Lai, Shenghan
  email: chengang18@yahoo.comwenjunping@medmail.com.cnslai@jhmi.edu
  organization: Department of Pathology, Radiology, Medicine and Epidemiology, Johns Hopkins Medicine, Maryland, Baltimore, USA
– sequence: 12
  givenname: Junping
  surname: Wen
  fullname: Wen, Junping
  email: chengang18@yahoo.comwenjunping@medmail.com.cnslai@jhmi.edu
  organization: Department of Endocrinology, Fujian Provincial Hospital, Fujian Medical University, Fujian Provincial Hospital Key Laboratory of Endocrinology, Fuzhou
BackLink https://www.ncbi.nlm.nih.gov/pubmed/23298195$$D View this record in MEDLINE/PubMed
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Copyright 2013 Wiley Publishing Asia Pty Ltd and Ruijin Hospital, Shanghai Jiaotong University School of Medicine
2013 Wiley Publishing Asia Pty Ltd and Ruijin Hospital, Shanghai Jiaotong University School of Medicine.
Copyright © 2013 Ruijin Hospital and Wiley Publishing Asia Pty Ltd
Copyright_xml – notice: 2013 Wiley Publishing Asia Pty Ltd and Ruijin Hospital, Shanghai Jiaotong University School of Medicine
– notice: 2013 Wiley Publishing Asia Pty Ltd and Ruijin Hospital, Shanghai Jiaotong University School of Medicine.
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References Wellcome Trust Case Control Consortium. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature. 2007; 447: 661-678.
Frayling TM, Timpson NJ, Weedon MN et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science. 2007; 316: 889-894.
Tsai FJ, Yang CF, Chen CC et al. A genome-wide association study identifies susceptibility variants for type 2 diabetes in Han Chinese. PLoS Genet. 2010; 6: e1000847.
Ordovas JM. Genetic links between diabetes mellitus and coronary atherosclerosis. Curr Atheroscler Rep. 2007; 9: 204-210.
Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976; 16: 31-41.
Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: Insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985; 28: 412-419.
Levey AS, Coresh J, Balk E et al. National Kidney Foundation practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Ann Intern Med. 2003; 139: 137-147.
Minton JA, Hattersley AT, Owen K et al. Association studies of genetic variation in the WFS1 gene and type 2 diabetes in U.K. populations. Diabetes. 2002; 51: 1287-1290.
Chobanian AV, Bakris GL, Black HR et al. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension. 2003; 42: 1206-1252.
Hu C, Wang C, Zhang R et al. Variations in KCNQ1 are associated with type 2 diabetes and beta cell function in a Chinese population. Diabetologia. 2009; 52: 1322-1325.
Xu M, Bi Y, Xu Y et al. Combined effects of 19 common variations on type 2 diabetes in Chinese: Results from two community-based studies. PLoS One. 2010; 5: e14022.
Zeggini E, Weedon MN, Lindgren CM et al. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science. 2007; 316: 1336-1341.
Wang C, Hu C, Zhang R et al. Common variants of hepatocyte nuclear factor 1beta are associated with type 2 diabetes in a Chinese population. Diabetes. 2009; 58: 1023-1027.
Bonetti S, Trombetta M, Boselli ML et al. Variants of GCKR affect both β-cell and kidney function in patients with newly diagnosed type 2 diabetes: The Verona newly diagnosed type 2 diabetes study 2. Diabetes Care. 2011; 34: 1205-1210.
Yang W, Lu J, Weng J et al. Prevalence of diabetes among men and women in China. N Engl J Med. 2010; 362: 1090-1101.
Chang YC, Chang TJ, Jiang YD et al. Association study of the genetic polymorphisms of transcription factor 7-like 2 (TCF7L2) gene and type 2 diabetes in the Chinese population. Diabetes. 2007; 56: 2631-2637.
Tam CH, Ho JS, Wang Y et al. Common polymorphisms in MTNR1B, G6PC2 and GCK are associated with increased fasting plasma glucose and impaired beta-cell function in Chinese subjects. PLoS One. 2010; 5: e11428.
Li H, Wu Y, Loos RJ et al. Variants in the fat mass- and obesity-associated (FTO) gene are not associated with obesity in a Chinese Han population. Diabetes. 2008; 57: 264-268.
Wu Y, Li H, Loos RJ et al. Common variants in CDKAL1, CDKN2A/B, IGF2BP2, SLC30A8, and HHEX/IDE genes are associated with type 2 diabetes and impaired fasting glucose in a Chinese Han population. Diabetes. 2008; 57: 2834-2842.
Xiang J, Li XY, Xu M et al. Zinc transporter-8 gene (SLC30A8) is associated with type 2 diabetes in Chinese. J Clin Endocrinol Metab. 2008; 93: 4107-4112.
The Pooling Project Research Group. Relationship of blood pressure, serum cholesterol, smoking habit, relative weight and ECG abnormalities to incidence of major coronary events: Final report of the pooling project. J Chronic Dis. 1978; 31: 201-306.
Hardy C, Khanim F, Torres R et al. Clinical and molecular genetic analysis of 19 Wolfram syndrome kindreds demonstrating a wide spectrum of mutations in WFS1. Am J Hum Genet. 1999; 65: 1279-1290.
Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabetes Med. 1998; 15: 539-553.
Scuteri A, Sanna S, Chen WM et al. Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. PLoS Genet. 2007; 3: e115.
Franceschini N, Shara NM, Wang H et al. The association of genetic variants of type 2 diabetes with kidney function. Kidney Int. 2012; 82: 220-225.
Han X, Luo Y, Ren Q et al. Implication of genetic variants near SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, FTO, TCF2, KCNQ1, and WFS1 in type 2 diabetes in a Chinese population. BMC Med Genet. 2010; 11: 81-89.
National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Am J Kidney Dis. 2002; 39: S1-266.
Du Bois D, Du Bois EF. A formula to estimate the approximate surface area if height and weight be known. Arch Intern Med. 1916; 17: 863-871.
Qi Q, Li H, Wu Y et al. Combined effects of 17 common genetic variants on type 2 diabetes risk in a Han Chinese population. Diabetologia. 2010; 53: 2163-2166.
Lin Y, Li P, Cai L et al. Association study of genetic variants in eight genes/loci with type 2 diabetes in a Han Chinese population. BMC Med Genet. 2010; 11: 97-104.
Rönn T, Wen J, Yang Z et al. A common variant in MTNR1B, encoding melatonin receptor 1B, is associated with type 2 diabetes and fasting plasma glucose in Han Chinese individuals. Diabetologia. 2009; 52: 830-833.
Grant RW, Moore AF, Florez JC. Genetic architecture of type 2 diabetes: Recent progress and clinical implications. Diabetes Care. 2009; 32: 1107-1114.
Ng MC, Park KS, Oh B et al. Implication of genetic variants near TCF7L2, SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, and FTO in type 2 diabetes and obesity in 6,719 Asians. Diabetes. 2008; 57: 2226-2233.
Diabetes Genetics Initiative of Broad Institute of Harvard and MIT, Lund University, and Novartis Institutes of BioMedical Research, Saxena R, Voight BF et al. Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science. 2007; 316: 1331-1336.
Wolever TM, Chiasson JL, Csima A et al. Variation of postprandial plasma glucose, palatability, and symptoms associated with a standardized mixed test meal versus 75 g oral glucose. Diabetes Care. 1998; 21: 336-340.
Zeggini E, Scott LJ, Saxena R et al. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nat Genet. 2008; 40: 638-645.
Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972; 18: 499-502.
Perry JR, McCarthy MI, Hattersley AT et al. Interrogating type 2 diabetes genome-wide association data using a biological pathway-based approach. Diabetes. 2009; 58: 1463-1467.
Blackburn H, Keys A, Simonson E, Rautaharju P, Punsar S. The electrocardiogram in population studies. A classification system. Circulation. 1960; 21: 1160-1175.
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References_xml – reference: Hardy C, Khanim F, Torres R et al. Clinical and molecular genetic analysis of 19 Wolfram syndrome kindreds demonstrating a wide spectrum of mutations in WFS1. Am J Hum Genet. 1999; 65: 1279-1290.
– reference: Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972; 18: 499-502.
– reference: Wolever TM, Chiasson JL, Csima A et al. Variation of postprandial plasma glucose, palatability, and symptoms associated with a standardized mixed test meal versus 75 g oral glucose. Diabetes Care. 1998; 21: 336-340.
– reference: Chang YC, Chang TJ, Jiang YD et al. Association study of the genetic polymorphisms of transcription factor 7-like 2 (TCF7L2) gene and type 2 diabetes in the Chinese population. Diabetes. 2007; 56: 2631-2637.
– reference: Li H, Wu Y, Loos RJ et al. Variants in the fat mass- and obesity-associated (FTO) gene are not associated with obesity in a Chinese Han population. Diabetes. 2008; 57: 264-268.
– reference: Bonetti S, Trombetta M, Boselli ML et al. Variants of GCKR affect both β-cell and kidney function in patients with newly diagnosed type 2 diabetes: The Verona newly diagnosed type 2 diabetes study 2. Diabetes Care. 2011; 34: 1205-1210.
– reference: Wu Y, Li H, Loos RJ et al. Common variants in CDKAL1, CDKN2A/B, IGF2BP2, SLC30A8, and HHEX/IDE genes are associated with type 2 diabetes and impaired fasting glucose in a Chinese Han population. Diabetes. 2008; 57: 2834-2842.
– reference: Minton JA, Hattersley AT, Owen K et al. Association studies of genetic variation in the WFS1 gene and type 2 diabetes in U.K. populations. Diabetes. 2002; 51: 1287-1290.
– reference: Xiang J, Li XY, Xu M et al. Zinc transporter-8 gene (SLC30A8) is associated with type 2 diabetes in Chinese. J Clin Endocrinol Metab. 2008; 93: 4107-4112.
– reference: Tsai FJ, Yang CF, Chen CC et al. A genome-wide association study identifies susceptibility variants for type 2 diabetes in Han Chinese. PLoS Genet. 2010; 6: e1000847.
– reference: Rönn T, Wen J, Yang Z et al. A common variant in MTNR1B, encoding melatonin receptor 1B, is associated with type 2 diabetes and fasting plasma glucose in Han Chinese individuals. Diabetologia. 2009; 52: 830-833.
– reference: Yang W, Lu J, Weng J et al. Prevalence of diabetes among men and women in China. N Engl J Med. 2010; 362: 1090-1101.
– reference: Alberti KG, Zimmet PZ. Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabetes Med. 1998; 15: 539-553.
– reference: Tam CH, Ho JS, Wang Y et al. Common polymorphisms in MTNR1B, G6PC2 and GCK are associated with increased fasting plasma glucose and impaired beta-cell function in Chinese subjects. PLoS One. 2010; 5: e11428.
– reference: Ordovas JM. Genetic links between diabetes mellitus and coronary atherosclerosis. Curr Atheroscler Rep. 2007; 9: 204-210.
– reference: Zeggini E, Weedon MN, Lindgren CM et al. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science. 2007; 316: 1336-1341.
– reference: Lin Y, Li P, Cai L et al. Association study of genetic variants in eight genes/loci with type 2 diabetes in a Han Chinese population. BMC Med Genet. 2010; 11: 97-104.
– reference: Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976; 16: 31-41.
– reference: Han X, Luo Y, Ren Q et al. Implication of genetic variants near SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, FTO, TCF2, KCNQ1, and WFS1 in type 2 diabetes in a Chinese population. BMC Med Genet. 2010; 11: 81-89.
– reference: The Pooling Project Research Group. Relationship of blood pressure, serum cholesterol, smoking habit, relative weight and ECG abnormalities to incidence of major coronary events: Final report of the pooling project. J Chronic Dis. 1978; 31: 201-306.
– reference: Scuteri A, Sanna S, Chen WM et al. Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. PLoS Genet. 2007; 3: e115.
– reference: Perry JR, McCarthy MI, Hattersley AT et al. Interrogating type 2 diabetes genome-wide association data using a biological pathway-based approach. Diabetes. 2009; 58: 1463-1467.
– reference: Franceschini N, Shara NM, Wang H et al. The association of genetic variants of type 2 diabetes with kidney function. Kidney Int. 2012; 82: 220-225.
– reference: Wang C, Hu C, Zhang R et al. Common variants of hepatocyte nuclear factor 1beta are associated with type 2 diabetes in a Chinese population. Diabetes. 2009; 58: 1023-1027.
– reference: Grant RW, Moore AF, Florez JC. Genetic architecture of type 2 diabetes: Recent progress and clinical implications. Diabetes Care. 2009; 32: 1107-1114.
– reference: Diabetes Genetics Initiative of Broad Institute of Harvard and MIT, Lund University, and Novartis Institutes of BioMedical Research, Saxena R, Voight BF et al. Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science. 2007; 316: 1331-1336.
– reference: Frayling TM, Timpson NJ, Weedon MN et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science. 2007; 316: 889-894.
– reference: Qi Q, Li H, Wu Y et al. Combined effects of 17 common genetic variants on type 2 diabetes risk in a Han Chinese population. Diabetologia. 2010; 53: 2163-2166.
– reference: Levey AS, Coresh J, Balk E et al. National Kidney Foundation practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Ann Intern Med. 2003; 139: 137-147.
– reference: Blackburn H, Keys A, Simonson E, Rautaharju P, Punsar S. The electrocardiogram in population studies. A classification system. Circulation. 1960; 21: 1160-1175.
– reference: Xu M, Bi Y, Xu Y et al. Combined effects of 19 common variations on type 2 diabetes in Chinese: Results from two community-based studies. PLoS One. 2010; 5: e14022.
– reference: Hu C, Wang C, Zhang R et al. Variations in KCNQ1 are associated with type 2 diabetes and beta cell function in a Chinese population. Diabetologia. 2009; 52: 1322-1325.
– reference: Zeggini E, Scott LJ, Saxena R et al. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nat Genet. 2008; 40: 638-645.
– reference: Du Bois D, Du Bois EF. A formula to estimate the approximate surface area if height and weight be known. Arch Intern Med. 1916; 17: 863-871.
– reference: Chobanian AV, Bakris GL, Black HR et al. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension. 2003; 42: 1206-1252.
– reference: Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: Insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985; 28: 412-419.
– reference: National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Am J Kidney Dis. 2002; 39: S1-266.
– reference: Ng MC, Park KS, Oh B et al. Implication of genetic variants near TCF7L2, SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, and FTO in type 2 diabetes and obesity in 6,719 Asians. Diabetes. 2008; 57: 2226-2233.
– reference: Wellcome Trust Case Control Consortium. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature. 2007; 447: 661-678.
– volume: 11
  start-page: 97
  year: 2010
  end-page: 104
  article-title: Association study of genetic variants in eight genes/loci with type 2 diabetes in a Han Chinese population
  publication-title: BMC Med Genet
– volume: 139
  start-page: 137
  year: 2003
  end-page: 147
  article-title: National Kidney Foundation practice guidelines for chronic kidney disease: Evaluation, classification, and stratification
  publication-title: Ann Intern Med
– volume: 53
  start-page: 2163
  year: 2010
  end-page: 2166
  article-title: Combined effects of 17 common genetic variants on type 2 diabetes risk in a Han Chinese population
  publication-title: Diabetologia
– volume: 56
  start-page: 2631
  year: 2007
  end-page: 2637
  article-title: Association study of the genetic polymorphisms of transcription factor 7‐like 2 (TCF7L2) gene and type 2 diabetes in the Chinese population
  publication-title: Diabetes
– volume: 57
  start-page: 264
  year: 2008
  end-page: 268
  article-title: Variants in the fat mass‐ and obesity‐associated (FTO) gene are not associated with obesity in a Chinese Han population
  publication-title: Diabetes
– volume: 21
  start-page: 336
  year: 1998
  end-page: 340
  article-title: Variation of postprandial plasma glucose, palatability, and symptoms associated with a standardized mixed test meal versus 75 g oral glucose
  publication-title: Diabetes Care
– volume: 65
  start-page: 1279
  year: 1999
  end-page: 1290
  article-title: Clinical and molecular genetic analysis of 19 Wolfram syndrome kindreds demonstrating a wide spectrum of mutations in WFS1
  publication-title: Am J Hum Genet
– volume: 32
  start-page: 1107
  year: 2009
  end-page: 1114
  article-title: Genetic architecture of type 2 diabetes: Recent progress and clinical implications
  publication-title: Diabetes Care
– volume: 52
  start-page: 1322
  year: 2009
  end-page: 1325
  article-title: Variations in KCNQ1 are associated with type 2 diabetes and beta cell function in a Chinese population
  publication-title: Diabetologia
– volume: 82
  start-page: 220
  year: 2012
  end-page: 225
  article-title: The association of genetic variants of type 2 diabetes with kidney function
  publication-title: Kidney Int
– volume: 39
  start-page: S1
  year: 2002
  end-page: 266
  article-title: K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification
  publication-title: Am J Kidney Dis
– volume: 3
  start-page: e115
  year: 2007
  article-title: Genome‐wide association scan shows genetic variants in the FTO gene are associated with obesity‐related traits
  publication-title: PLoS Genet
– volume: 17
  start-page: 863
  year: 1916
  end-page: 871
  article-title: A formula to estimate the approximate surface area if height and weight be known
  publication-title: Arch Intern Med
– volume: 5
  start-page: e14022
  year: 2010
  article-title: Combined effects of 19 common variations on type 2 diabetes in Chinese: Results from two community‐based studies
  publication-title: PLoS One
– volume: 6
  start-page: e1000847
  year: 2010
  article-title: A genome‐wide association study identifies susceptibility variants for type 2 diabetes in Han Chinese
  publication-title: PLoS Genet
– volume: 16
  start-page: 31
  year: 1976
  end-page: 41
  article-title: Prediction of creatinine clearance from serum creatinine
  publication-title: Nephron
– volume: 362
  start-page: 1090
  year: 2010
  end-page: 1101
  article-title: Prevalence of diabetes among men and women in China
  publication-title: N Engl J Med
– volume: 316
  start-page: 1331
  year: 2007
  end-page: 1336
  article-title: Genome‐wide association analysis identifies loci for type 2 diabetes and triglyceride levels
  publication-title: Science
– volume: 15
  start-page: 539
  year: 1998
  end-page: 553
  article-title: Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: Diagnosis and classification of diabetes mellitus provisional report of a WHO consultation
  publication-title: Diabetes Med
– volume: 316
  start-page: 1336
  year: 2007
  end-page: 1341
  article-title: Replication of genome‐wide association signals in UK samples reveals risk loci for type 2 diabetes
  publication-title: Science
– volume: 11
  start-page: 81
  year: 2010
  end-page: 89
  article-title: Implication of genetic variants near SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, FTO, TCF2, KCNQ1, and WFS1 in type 2 diabetes in a Chinese population
  publication-title: BMC Med Genet
– volume: 21
  start-page: 1160
  year: 1960
  end-page: 1175
  article-title: The electrocardiogram in population studies. A classification system
  publication-title: Circulation
– volume: 40
  start-page: 638
  year: 2008
  end-page: 645
  article-title: Meta‐analysis of genome‐wide association data and large‐scale replication identifies additional susceptibility loci for type 2 diabetes
  publication-title: Nat Genet
– volume: 31
  start-page: 201
  year: 1978
  end-page: 306
  article-title: Relationship of blood pressure, serum cholesterol, smoking habit, relative weight and ECG abnormalities to incidence of major coronary events: Final report of the pooling project
  publication-title: J Chronic Dis
– volume: 58
  start-page: 1463
  year: 2009
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Snippet Background Genetic determinations are important in type 2 diabetes (T2DM) pathology. We investigated associations between genetic variants of 17...
Genetic determinations are important in type 2 diabetes (T2DM) pathology. We investigated associations between genetic variants of 17 diabetes-related...
Background Genetic determinations are important in type 2 diabetes (T2DM) pathology. We investigated associations between genetic variants of 17...
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SubjectTerms Alleles
Asian Continental Ancestry Group
Cardiovascular Diseases - ethnology
Cardiovascular Diseases - genetics
Diabetes Mellitus, Type 2 - ethnology
Diabetes Mellitus, Type 2 - genetics
Diabetic Nephropathies - ethnology
Diabetic Nephropathies - genetics
estimated glomerular filtration rate
Genetic Association Studies
Genetic Loci
Genetic Predisposition to Disease
Genetic Variation
Genotype
Humans
Minnesota Code
Polymorphism, Single Nucleotide
Risk Factors
single nucleotide polymorphism
Type 2 diabetes mellitus
估算肾小球滤过率,明尼苏达编码,单核苷酸多态性,2型糖尿病
Title Association study of genetic variants of 17 diabetes-related genes/loci and cardiovascular risk and diabetic nephropathy in the Chinese She population (中国畲族人群17个糖尿病相关基因位点的遗传变异与心血管风险和糖尿病肾病的相关性)
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https://onlinelibrary.wiley.com/doi/abs/10.1111%2F1753-0407.12025
https://www.ncbi.nlm.nih.gov/pubmed/23298195
https://www.proquest.com/docview/1346137168
https://www.proquest.com/docview/1347256719
Volume 5
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