Literature DB >> 33574314

Genetic profiles of 103,106 individuals in the Taiwan Biobank provide insights into the health and history of Han Chinese.

Chun-Yu Wei1, Jenn-Hwai Yang1, Erh-Chan Yeh1, Ming-Fang Tsai1, Hsiao-Jung Kao1, Chen-Zen Lo1, Lung-Pao Chang1, Wan-Jia Lin1, Feng-Jen Hsieh1, Saurabh Belsare2, Anand Bhaskar3, Ming-Wei Su1, Te-Chang Lee1, Yi-Ling Lin1, Fu-Tong Liu1, Chen-Yang Shen1, Ling-Hui Li1, Chien-Hsiun Chen1, Jeffrey D Wall2, Jer-Yuarn Wu1, Pui-Yan Kwok4,5.   

Abstract

Personalized medical care focuses on prediction of disease risk and response to medications. To build the risk models, access to both large-scale genomic resources and human genetic studies is required. The Taiwan Biobank (TWB) has generated high-coverage, whole-genome sequencing data from 1492 individuals and genome-wide SNP data from 103,106 individuals of Han Chinese ancestry using custom SNP arrays. Principal components analysis of the genotyping data showed that the full range of Han Chinese genetic variation was found in the cohort. The arrays also include thousands of known functional variants, allowing for simultaneous ascertainment of Mendelian disease-causing mutations and variants that affect drug metabolism. We found that 21.2% of the population are mutation carriers of autosomal recessive diseases, 3.1% have mutations in cancer-predisposing genes, and 87.3% carry variants that affect drug response. We highlight how TWB data provide insight into both population history and disease burden, while showing how widespread genetic testing can be used to improve clinical care.

Entities:  

Year:  2021        PMID: 33574314     DOI: 10.1038/s41525-021-00178-9

Source DB:  PubMed          Journal:  NPJ Genom Med        ISSN: 2056-7944            Impact factor:   8.617


  40 in total

1.  Evolution and functional impact of rare coding variation from deep sequencing of human exomes.

Authors:  Jacob A Tennessen; Abigail W Bigham; Timothy D O'Connor; Wenqing Fu; Eimear E Kenny; Simon Gravel; Sean McGee; Ron Do; Xiaoming Liu; Goo Jun; Hyun Min Kang; Daniel Jordan; Suzanne M Leal; Stacey Gabriel; Mark J Rieder; Goncalo Abecasis; David Altshuler; Deborah A Nickerson; Eric Boerwinkle; Shamil Sunyaev; Carlos D Bustamante; Michael J Bamshad; Joshua M Akey
Journal:  Science       Date:  2012-05-17       Impact factor: 47.728

2.  Uterine and fetal characteristics in rats following a post-implantational exposure to permethrin.

Authors:  F Spencer; Z Berhane
Journal:  Bull Environ Contam Toxicol       Date:  1982-07       Impact factor: 2.151

3.  China Kadoorie Biobank of 0.5 million people: survey methods, baseline characteristics and long-term follow-up.

Authors:  Zhengming Chen; Junshi Chen; Rory Collins; Yu Guo; Richard Peto; Fan Wu; Liming Li
Journal:  Int J Epidemiol       Date:  2011-09-21       Impact factor: 7.196

4.  Genotype-imputation accuracy across worldwide human populations.

Authors:  Lucy Huang; Yun Li; Andrew B Singleton; John A Hardy; Gonçalo Abecasis; Noah A Rosenberg; Paul Scheet
Journal:  Am J Hum Genet       Date:  2009-02       Impact factor: 11.025

5.  Inclusion of Population-specific Reference Panel from India to the 1000 Genomes Phase 3 Panel Improves Imputation Accuracy.

Authors:  Meraj Ahmad; Anubhav Sinha; Sreya Ghosh; Vikrant Kumar; Sonia Davila; Chittaranjan S Yajnik; Giriraj R Chandak
Journal:  Sci Rep       Date:  2017-07-27       Impact factor: 4.379

6.  Analysis of protein-coding genetic variation in 60,706 humans.

Authors:  Monkol Lek; Konrad J Karczewski; Eric V Minikel; Kaitlin E Samocha; Eric Banks; Timothy Fennell; Anne H O'Donnell-Luria; James S Ware; Andrew J Hill; Beryl B Cummings; Taru Tukiainen; Daniel P Birnbaum; Jack A Kosmicki; Laramie E Duncan; Karol Estrada; Fengmei Zhao; James Zou; Emma Pierce-Hoffman; Joanne Berghout; David N Cooper; Nicole Deflaux; Mark DePristo; Ron Do; Jason Flannick; Menachem Fromer; Laura Gauthier; Jackie Goldstein; Namrata Gupta; Daniel Howrigan; Adam Kiezun; Mitja I Kurki; Ami Levy Moonshine; Pradeep Natarajan; Lorena Orozco; Gina M Peloso; Ryan Poplin; Manuel A Rivas; Valentin Ruano-Rubio; Samuel A Rose; Douglas M Ruderfer; Khalid Shakir; Peter D Stenson; Christine Stevens; Brett P Thomas; Grace Tiao; Maria T Tusie-Luna; Ben Weisburd; Hong-Hee Won; Dongmei Yu; David M Altshuler; Diego Ardissino; Michael Boehnke; John Danesh; Stacey Donnelly; Roberto Elosua; Jose C Florez; Stacey B Gabriel; Gad Getz; Stephen J Glatt; Christina M Hultman; Sekar Kathiresan; Markku Laakso; Steven McCarroll; Mark I McCarthy; Dermot McGovern; Ruth McPherson; Benjamin M Neale; Aarno Palotie; Shaun M Purcell; Danish Saleheen; Jeremiah M Scharf; Pamela Sklar; Patrick F Sullivan; Jaakko Tuomilehto; Ming T Tsuang; Hugh C Watkins; James G Wilson; Mark J Daly; Daniel G MacArthur
Journal:  Nature       Date:  2016-08-18       Impact factor: 49.962

7.  Evaluating the quality of the 1000 genomes project data.

Authors:  Saurabh Belsare; Michal Levy-Sakin; Yulia Mostovoy; Steffen Durinck; Subhra Chaudhuri; Ming Xiao; Andrew S Peterson; Pui-Yan Kwok; Somasekar Seshagiri; Jeffrey D Wall
Journal:  BMC Genomics       Date:  2019-08-16       Impact factor: 3.969

8.  The Tohoku Medical Megabank Project: Design and Mission.

Authors:  Shinichi Kuriyama; Nobuo Yaegashi; Fuji Nagami; Tomohiko Arai; Yoshio Kawaguchi; Noriko Osumi; Masaki Sakaida; Yoichi Suzuki; Keiko Nakayama; Hiroaki Hashizume; Gen Tamiya; Hiroshi Kawame; Kichiya Suzuki; Atsushi Hozawa; Naoki Nakaya; Masahiro Kikuya; Hirohito Metoki; Ichiro Tsuji; Nobuo Fuse; Hideyasu Kiyomoto; Junichi Sugawara; Akito Tsuboi; Shinichi Egawa; Kiyoshi Ito; Koichi Chida; Tadashi Ishii; Hiroaki Tomita; Yasuyuki Taki; Naoko Minegishi; Naoto Ishii; Jun Yasuda; Kazuhiko Igarashi; Ritsuko Shimizu; Masao Nagasaki; Seizo Koshiba; Kengo Kinoshita; Soichi Ogishima; Takako Takai-Igarashi; Teiji Tominaga; Osamu Tanabe; Noriaki Ohuchi; Toru Shimosegawa; Shigeo Kure; Hiroshi Tanaka; Sadayoshi Ito; Jiro Hitomi; Kozo Tanno; Motoyuki Nakamura; Kuniaki Ogasawara; Seiichiro Kobayashi; Kiyomi Sakata; Mamoru Satoh; Atsushi Shimizu; Makoto Sasaki; Ryujin Endo; Kenji Sobue; The Tohoku Medical Megabank Project Study Group; Masayuki Yamamoto
Journal:  J Epidemiol       Date:  2016-07-02       Impact factor: 3.211

9.  The Qatar Biobank: background and methods.

Authors:  Hanan Al Kuwari; Asma Al Thani; Ajayeb Al Marri; Abdulla Al Kaabi; Hadi Abderrahim; Nahla Afifi; Fatima Qafoud; Queenie Chan; Ioanna Tzoulaki; Paul Downey; Heather Ward; Neil Murphy; Elio Riboli; Paul Elliott
Journal:  BMC Public Health       Date:  2015-12-03       Impact factor: 3.295

10.  The UK Biobank resource with deep phenotyping and genomic data.

Authors:  Clare Bycroft; Colin Freeman; Desislava Petkova; Gavin Band; Lloyd T Elliott; Kevin Sharp; Allan Motyer; Damjan Vukcevic; Olivier Delaneau; Jared O'Connell; Adrian Cortes; Samantha Welsh; Alan Young; Mark Effingham; Gil McVean; Stephen Leslie; Naomi Allen; Peter Donnelly; Jonathan Marchini
Journal:  Nature       Date:  2018-10-10       Impact factor: 49.962

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  24 in total

Review 1.  Use of Polygenic Risk Scores for Coronary Heart Disease in Ancestrally Diverse Populations.

Authors:  Ozan Dikilitas; Daniel J Schaid; Catherine Tcheandjieu; Shoa L Clarke; Themistocles L Assimes; Iftikhar J Kullo
Journal:  Curr Cardiol Rep       Date:  2022-07-07       Impact factor: 3.955

Review 2.  Opportunities and challenges for the use of common controls in sequencing studies.

Authors:  Genevieve L Wojcik; Jessica Murphy; Jacob L Edelson; Christopher R Gignoux; Alexander G Ioannidis; Alisa Manning; Manuel A Rivas; Steven Buyske; Audrey E Hendricks
Journal:  Nat Rev Genet       Date:  2022-05-17       Impact factor: 59.581

3.  PKD2 founder mutation is the most common mutation of polycystic kidney disease in Taiwan.

Authors:  Chih-Chuan Yu; An-Fu Lee; Stefen Kohl; Ming-Yen Lin; Siao Muk Cheng; Chi-Chih Hung; Jer-Ming Chang; Yi-Wen Chiu; Shang-Jyh Hwang; Edgar A Otto; Friedhelm Hildebrandt; Daw-Yang Hwang
Journal:  NPJ Genom Med       Date:  2022-07-01       Impact factor: 6.083

4.  Your height affects your health: genetic determinants and health-related outcomes in Taiwan.

Authors:  Jian-Shiun Chiou; Chi-Fung Cheng; Wen-Miin Liang; Chen-Hsing Chou; Chung-Hsing Wang; Wei-De Lin; Mu-Lin Chiu; Wei-Chung Cheng; Cheng-Wen Lin; Ting-Hsu Lin; Chiu-Chu Liao; Shao-Mei Huang; Chang-Hai Tsai; Ying-Ju Lin; Fuu-Jen Tsai
Journal:  BMC Med       Date:  2022-07-13       Impact factor: 11.150

Review 5.  Precision health in Taiwan: A data-driven diagnostic platform for the future of disease prevention.

Authors:  Wesley Wei-Wen Hsiao; Jui-Chu Lin; Chien-Te Fan; Saint Shiou-Sheng Chen
Journal:  Comput Struct Biotechnol J       Date:  2022-03-26       Impact factor: 6.155

6.  Editorial: Current Status and Future Challenges of Biobank Data Analysis.

Authors:  Tzu-Pin Lu; Yoichiro Kamatani; Gillian Belbin; Taesung Park; Chuhsing Kate Hsiao
Journal:  Front Genet       Date:  2022-04-14       Impact factor: 4.772

7.  Machine learning approaches for the genomic prediction of rheumatoid arthritis and systemic lupus erythematosus.

Authors:  Chih-Wei Chung; Tzu-Hung Hsiao; Chih-Jen Huang; Yen-Ju Chen; Hsin-Hua Chen; Ching-Heng Lin; Seng-Cho Chou; Tzer-Shyong Chen; Yu-Fang Chung; Hwai-I Yang; Yi-Ming Chen
Journal:  BioData Min       Date:  2021-12-11       Impact factor: 2.522

8.  Elucidation of a Causal Relationship Between Platelet Count and Hypertension: A Bi-Directional Mendelian Randomization Study.

Authors:  Po-Chun Chiu; Amrita Chattopadhyay; Meng-Chun Wu; Tzu-Hung Hsiao; Ching-Heng Lin; Tzu-Pin Lu
Journal:  Front Cardiovasc Med       Date:  2021-11-26

9.  Associations between ALDH Genetic Variants, Alcohol Consumption, and the Risk of Nasopharyngeal Carcinoma in an East Asian Population.

Authors:  Wen-Ling Liao; Fu-Chun Chan; Kai-Ping Chang; Ya-Wen Chang; Che-Hong Chen; Wen-Hui Su; Hen-Hong Chang
Journal:  Genes (Basel)       Date:  2021-09-29       Impact factor: 4.096

10.  Identification of Novel Genomic-Variant Patterns of OR56A5, OR52L1, and CTSD in Retinitis Pigmentosa Patients by Whole-Exome Sequencing.

Authors:  Ting-Yi Lin; Yun-Chia Chang; Yu-Jer Hsiao; Yueh Chien; Ying-Chun Jheng; Jing-Rong Wu; Lo-Jei Ching; De-Kuang Hwang; Chih-Chien Hsu; Tai-Chi Lin; Yu-Bai Chou; Yi-Ming Huang; Shih-Jen Chen; Yi-Ping Yang; Ping-Hsing Tsai
Journal:  Int J Mol Sci       Date:  2021-05-25       Impact factor: 5.923

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