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Title: The GenomeAsia 100K Project enables genetic discoveries across Asia
Authors: Wall, Jeffrey D.
Stawiski, Eric W.
Ratan, Aakrosh
Kim, Hie Lim
Kim, Changhoon
Gupta, Ravi
Suryamohan, Kushal
Gusareva, Elena S.
Purbojati, Rikky Wenang
Bhangale, Tushar
Stepanov, Vadim
Kharkov, Vladimir
Schröder, Markus S.
Ramprasad, Vedam
Tom, Jennifer
Durinck, Steffen
Bei, Qixin
Li, Jiani
Guillory, Joseph
Phalkek Sameer
Basu, Analabha
Stinson, Jeremy
Nair, Sandhya
Malaichamy, Sivasankar
Biswas, Nidhan K.
Chambers, John C.
Cheng, Keith C
George, Joyner T.
Khor, Seik Soon
Kim, Jong-Il
Cho, Belong
Menon, Ramesh
Sattibabu, Thiramsett
Bassi, Akshi
Deshmukh, Manjari
Verma, Anjali
Gopalan, Vivek
Shin, Jong-Yeon
Pratapneni, Mahesh
Santhosh, Sam
Tokunaga, Katsushi
Badrul M. Md-Zain
Chan, Kok Gan
Parani, Madasamy
Natarajan, Purushothaman
Hauser, Michael
Allingham, R. Rand
Ghosh, Arkasubhra
Gadde, Santosh Gopi Krishna
Fuchsberger, Christian
Forer, Lukas
Schoenherr, Sebastian
Sudoyo, Herawati
Lansing, J. Stephen
Friedlaender, Jonathan
Koki, George
Cox, Murray P.
Hammer, Michael
Karafet, Tatiana
Ang, Khai C.
Syed Q. Mehdi
Radha, Venkatesan
Mohan, Viswanathan
Majumder, Partha P
Seshagiri, Somasekar
Seo, Jeong-Sun
Schuster, Stephan C.
Peterson, Andrew S.
Keywords: Science::Medicine
Issue Date: 2019
Source: Wall, J. D., Stawiski, E. W., Ratan, A., Kim, H. L., Kim, C., Gupta, R., . . . Peterson, A. S. (2019). The GenomeAsia 100K Project enables genetic discoveries across Asia. Nature, 576(7785), 106-111. doi:10.1038/s41586-019-1793-z
Journal: Nature
Abstract: The underrepresentation of non-Europeans in human genetic studies so far has limited the diversity of individuals in genomic datasets and led to reduced medical relevance for a large proportion of the world’s population. Population-specific reference genome datasets as well as genome-wide association studies in diverse populations are needed to address this issue. Here we describe the pilot phase of the GenomeAsia 100K Project. This includes a whole-genome sequencing reference dataset from 1,739 individuals of 219 population groups and 64 countries across Asia. We catalogue genetic variation, population structure, disease associations and founder effects. We also explore the use of this dataset in imputation, to facilitate genetic studies in populations across Asia and worldwide.
ISSN: 0028-0836
DOI: 10.1038/s41586-019-1793-z
Rights: © 2019 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ASE Journal Articles

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