Literature DB >> 18370851

Taiwan Biobank: a project aiming to aid Taiwan's transition into a biomedical island.

Chien-Te Fan1, Jui-Chu Lin, Chung-His Lee.   

Abstract

Essentially, the term 'biobank' can be defined in different ways. Taking the UK Biobank's experience as the main example, the Taiwan Biobank aims to collect the DNA of a large group of people on the population base and track their health and lifestyle for at least 10 years. It is hoped that the information collected, regarding the mechanisms underlying how genes and environmental factors interact with each other to make us ill, will benefit the society in various ways, including the exploration of a new generation of treatments, support to preventive medicine discovery and also the possible benefits for the promotion of evolving public health-related industries in Taiwan. However, the involvement of large-scale population base gene data collection also triggered serious ethical, legal and social issues. In Taiwan, the challenge is even more serious than for any other biobanking experiences that have occurred previously. Among all the ethical, legal and social issues, the convergence of aboriginal people protection provided under Taiwan's Constitution imposes on the research team an obligation to create an innovative Ethical & Legal Governance Framework adaptable to the unique social background of Taiwan, including a workable public consultation/communication mechanism. In early 2005, the creation of the 'Taiwan Biobank' has been included as a part of Taiwan's strategic development in promoting the country as an island of biomedicine. In this report, the ideology, the goals and special features, government strategy, visions and, in particular, the ethical, legal and social issue planning of the Taiwan Biobank will be briefly introduced and reviewed.

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Year:  2008        PMID: 18370851     DOI: 10.2217/14622416.9.2.235

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  55 in total

1.  Integrating clinical information in National Biobank of Korea.

Authors:  Hangchan Kim; Byoung-Kee Yi; Il Kon Kim; Yun Sik Kwak
Journal:  J Med Syst       Date:  2009-12-09       Impact factor: 4.460

Review 2.  Genome-wide association studies: implications for multiethnic samples.

Authors:  Richard S Cooper; Bamidele Tayo; Xiaofeng Zhu
Journal:  Hum Mol Genet       Date:  2008-10-15       Impact factor: 6.150

3.  Helicobacter pylori infection and the risk of acute coronary syndrome: a nationwide retrospective cohort study.

Authors:  C-Y Lai; T-Y Yang; C-L Lin; C-H Kao
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2014-07-26       Impact factor: 3.267

Review 4.  Gene-gene interaction: the curse of dimensionality.

Authors:  Amrita Chattopadhyay; Tzu-Pin Lu
Journal:  Ann Transl Med       Date:  2019-12

Review 5.  Revisiting Mendelian disorders through exome sequencing.

Authors:  Chee-Seng Ku; Nasheen Naidoo; Yudi Pawitan
Journal:  Hum Genet       Date:  2011-02-18       Impact factor: 4.132

6.  Familial aggregation and shared genetic loading for major psychiatric disorders and type 2 diabetes.

Authors:  Mei-Hsin Su; Ying-Hsiu Shih; Yen-Feng Lin; Pei-Chun Chen; Chia-Yen Chen; Po-Chang Hsiao; Yi-Jiun Pan; Yu-Li Liu; Shih-Jen Tsai; Po-Hsiu Kuo; Chi-Shin Wu; Yen-Tsung Huang; Shi-Heng Wang
Journal:  Diabetologia       Date:  2022-02-23       Impact factor: 10.122

7.  Genome-wide association study of young-onset hypertension in the Han Chinese population of Taiwan.

Authors:  Hsin-Chou Yang; Yu-Jen Liang; Yi-Lin Wu; Chia-Min Chung; Kuang-Mao Chiang; Hung-Yun Ho; Chih-Tai Ting; Tsung-Hsien Lin; Sheng-Hsiung Sheu; Wei-Chuan Tsai; Jyh-Hong Chen; Hsin-Bang Leu; Wei-Hsian Yin; Ting-Yu Chiu; Chin-Iuan Chen; Cathy S J Fann; Jer-Yuarn Wu; Teng-Nan Lin; Shing-Jong Lin; Yuan-Tsong Chen; Jaw-Wen Chen; Wen-Harn Pan
Journal:  PLoS One       Date:  2009-05-07       Impact factor: 3.240

8.  Cross-ancestry genome-wide association studies identified heterogeneous loci associated with differences of allele frequency and regulome tagging between participants of European descent and other ancestry groups from the UK Biobank.

Authors:  Antonella De Lillo; Salvatore D'Antona; Gita A Pathak; Frank R Wendt; Flavio De Angelis; Maria Fuciarelli; Renato Polimanti
Journal:  Hum Mol Genet       Date:  2021-07-09       Impact factor: 6.150

9.  Multi-omics analysis identifies CpGs near G6PC2 mediating the effects of genetic variants on fasting glucose.

Authors:  Ren-Hua Chung; Yen-Feng Chiu; Wen-Chang Wang; Chii-Min Hwu; Yi-Jen Hung; I-Te Lee; Lee-Ming Chuang; Thomas Quertermous; Jerome I Rotter; Yii-Der I Chen; I-Shou Chang; Chao A Hsiung
Journal:  Diabetologia       Date:  2021-04-12       Impact factor: 10.122

10.  A high-resolution HLA imputation system for the Taiwanese population: a study of the Taiwan Biobank.

Authors:  Yu-Han Huang; Seik-Soon Khor; Xiuwen Zheng; Hsuan-Yu Chen; Ya-Hsuan Chang; Hou-Wei Chu; Pei-Ei Wu; Yu-Ju Lin; Shu-Fen Liao; Chen-Yang Shen; Katsushi Tokunaga; Mei-Hsuan Lee
Journal:  Pharmacogenomics J       Date:  2020-02-11       Impact factor: 3.550

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