Literature DB >> 19587700

An overview of the Guangzhou biobank cohort study-cardiovascular disease subcohort (GBCS-CVD): a platform for multidisciplinary collaboration.

C Q Jiang1, T H Lam, J M Lin, B Liu, X J Yue, K K Cheng, B Tomlinson, K S Wong, B M Y Cheung, G N Thomas.   

Abstract

The Guangzhou Biobank Cohort Study (GBCS, n=30 519, age >or=50 years) was established to examine the effects of genetic and environmental influences on health problems and chronic disease development. Guangzhou is undergoing massive economic development, but from a baseline that had remained unchanged for millennia. The Cardiovascular Disease Subcohort (GBCS-CVD) consists of 2000 participants who have been intensively phenotyped including a range of surrogate markers of vascular disease, including carotid artery intima-media thickness, cerebral artery stenoses, arterial stiffness, ankle-to-brachial blood pressure index and albuminuria, as well as coagulatory and inflammatory markers. Plasma and leukocytes are stored in liquid nitrogen for future studies. Preliminary demographic data show the female volunteers are younger than the male ones, but present with greater levels of adiposity including central obesity (31 vs 16%). Women had more body fat (33 vs 24%) and associated levels of adipokines. Despite this, body mass index and hip circumferences were similar, which contrasts with Caucasian populations. Men had more physician-diagnosed vascular disease (6.1 vs 2.5%), hypertension (42 vs 34%) and hyperglycaemia (36.6 vs 29.6%) than the women, but were less insulin resistant. In men, smoking (40 vs 2%) and drinking alcohol (67 vs 50%) was more common and they also had lower energy expenditures. The genotype distributions of the 15 typed single nucleotide polymorphisms were all in Hardy-Weinberg equilibrium. This article describes the rationale and methodology for the study. Given the comprehensive characterization of demographic and psychosocial determinants and biochemistry, the study provides a unique platform for multidisciplinary collaboration in a highly dynamic setting.

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Year:  2009        PMID: 19587700     DOI: 10.1038/jhh.2009.52

Source DB:  PubMed          Journal:  J Hum Hypertens        ISSN: 0950-9240            Impact factor:   3.012


  9 in total

1.  Hip circumference and incident metabolic risk factors in Chinese men and women: the People's Republic of China study.

Authors:  Eva G Katz; June Stevens; Kimberly P Truesdale; Jianwen Cai; Linda S Adair; Kari E North
Journal:  Metab Syndr Relat Disord       Date:  2010-11-20       Impact factor: 1.894

2.  The Global in Global Health is Not a Given.

Authors:  Paul H Mason; Ian Kerridge; Wendy Lipworth
Journal:  Am J Trop Med Hyg       Date:  2017-01-30       Impact factor: 2.345

3.  Exome-chip association analysis reveals an Asian-specific missense variant in PAX4 associated with type 2 diabetes in Chinese individuals.

Authors:  Chloe Y Y Cheung; Clara S Tang; Aimin Xu; Chi-Ho Lee; Ka-Wing Au; Lin Xu; Carol H Y Fong; Kelvin H M Kwok; Wing-Sun Chow; Yu-Cho Woo; Michele M A Yuen; JoJo S H Hai; Ya-Li Jin; Bernard M Y Cheung; Kathryn C B Tan; Stacey S Cherny; Feng Zhu; Tong Zhu; G Neil Thomas; Kar-Keung Cheng; Chao-Qiang Jiang; Tai-Hing Lam; Hung-Fat Tse; Pak-Chung Sham; Karen S L Lam
Journal:  Diabetologia       Date:  2016-10-15       Impact factor: 10.122

4.  A single nucleotide polymorphism in APOA5 determines triglyceride levels in Hong Kong and Guangzhou Chinese.

Authors:  Chao Qiang Jiang; Bin Liu; Bernard M Y Cheung; Tai Hing Lam; Jie Ming Lin; Ya Li Jin; Xiao Jun Yue; Kwok Leung Ong; Sidney Tam; Ka Sing Wong; Brian Tomlinson; Karen S L Lam; G Neil Thomas
Journal:  Eur J Hum Genet       Date:  2010-06-23       Impact factor: 4.246

Review 5.  Bridging gaps between images and data: a systematic update on imaging biobanks.

Authors:  Michela Gabelloni; Lorenzo Faggioni; Rita Borgheresi; Giuliana Restante; Jorge Shortrede; Lorenzo Tumminello; Camilla Scapicchio; Francesca Coppola; Dania Cioni; Ignacio Gómez-Rico; Luis Martí-Bonmatí; Emanuele Neri
Journal:  Eur Radiol       Date:  2022-01-10       Impact factor: 5.315

Review 6.  Axes of a revolution: challenges and promises of big data in healthcare.

Authors:  Smadar Shilo; Hagai Rossman; Eran Segal
Journal:  Nat Med       Date:  2020-01-13       Impact factor: 53.440

7.  Genetically predicted testosterone and systemic inflammation in men: a separate-sample Mendelian randomization analysis in older Chinese men.

Authors:  Jie Zhao; Chaoqiang Jiang; Tai Hing Lam; Bin Liu; Kar Keung Cheng; Lin Xu; Shiu Lun Au Yeung; Weisen Zhang; Gabriel M Leung; C Mary Schooling
Journal:  PLoS One       Date:  2015-05-07       Impact factor: 3.240

8.  Discriminatory performance of adiponectin and leptin in the identification of impaired glucose tolerance: The Guangzhou Biobank Cohort Study - Cardiovascular Disease Subcohort.

Authors:  Konstantinos A Toulis; Chao Q Jiang; Karla Hemming; Krishnarajah Nirantharakumar; Kar K Cheng; Tai H Lam; G Neil Thomas
Journal:  PLoS One       Date:  2018-11-06       Impact factor: 3.240

9.  The mediating role of inflammation in the association between cigarette smoking and intima-media thickness: The Guangzhou biobank cohort study.

Authors:  Tao Wang; Chao Qiang Jiang; Lin Xu; Wei Sen Zhang; Feng Zhu; Ya Li Jin; G Neil Thomas; Kar Keung Cheng; Tai Hing Lam
Journal:  Medicine (Baltimore)       Date:  2020-02       Impact factor: 1.817

  9 in total

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