Abstract

Accurate genotype imputation requires large-scale reference panel datasets. When conducting genotype imputation on the Japanese population, researchers can use such datasets under collaborative studies or controlled access conditions in public databases. We developed the NBDC-DDBJ imputation server, which securely provides users with a web user interface to execute genotype imputation on the server. Our benchmarking analysis showed that the accuracy of genotype imputation was improved by leveraging controlled access datasets to increase the number of haplotypes available for analysis compared to using publicly available reference panels such as the 1000 Genomes Project. The NBDC-DDBJ imputation server facilitates the use of controlled access datasets for accurate genotype imputation.

Details

Title
The NBDC-DDBJ imputation server facilitates the use of controlled access reference panel datasets in Japan
Author
Hachiya, Tsuyoshi 1   VIAFID ORCID Logo  ; Ishii, Manabu 1 ; Kawai, Yosuke 2   VIAFID ORCID Logo  ; Khor, Seik-Soon 2   VIAFID ORCID Logo  ; Kawashima, Minae 3 ; Toyo-Oka, Licht 4 ; Mitsuhashi, Nobutaka 5 ; Fukuda, Asami 6 ; Kodama, Yuichi 6 ; Fujisawa, Takatomo 6 ; Tokunaga, Katsushi 2 ; Takagi, Toshihisa 4 

 Genome Analytics Japan Inc., Tokyo, Japan 
 National Center for Global Health and Medicine, Genome Medical Science Project, Tokyo, Japan (GRID:grid.45203.30) (ISNI:0000 0004 0489 0290) 
 Japan Science and Technology Agency, Department of NBDC Program, Tokyo, Japan (GRID:grid.419082.6) (ISNI:0000 0004 1754 9200) 
 Japan Science and Technology Agency, Department of NBDC Program, Tokyo, Japan (GRID:grid.419082.6) (ISNI:0000 0004 1754 9200); Toyama University of International Studies, Toyama, Japan (GRID:grid.444016.3) (ISNI:0000 0004 0374 5235) 
 Japan Science and Technology Agency, Department of NBDC Program, Tokyo, Japan (GRID:grid.419082.6) (ISNI:0000 0004 1754 9200); Database Center for Life Science, Chiba, Japan (GRID:grid.419082.6) 
 National Institute of Genetics, Bioinformation and DDBJ Center, Shizuoka, Japan (GRID:grid.288127.6) (ISNI:0000 0004 0466 9350) 
Pages
48
Publication year
2022
Publication date
2022
Publisher
Springer Nature B.V.
e-ISSN
2054345X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2755982770
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.