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Choosing the optimal population for a genome-wide association study: a simulation using whole-genome sequences from rice
View ORCID ProfileKosuke Hamazaki, View ORCID ProfileHiromi Kajiya-Kanegae, View ORCID ProfileMasanori Yamasaki, Kaworu Ebana, View ORCID ProfileShiori Yabe, View ORCID ProfileHiroshi Nakagawa, Hiroyoshi Iwata
doi: https://doi.org/10.1101/798850
Kosuke Hamazaki
1Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
Hiromi Kajiya-Kanegae
1Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
2Research Center for Agricultural Information Technology, National Agriculture and Food Research Organization, 3-1-1 Kannondai, Tsukuba, Ibaraki 305-8517, Japan
Masanori Yamasaki
3Food Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, 1348 Uzurano, Kasai, Hyogo 675-2103, Japan
Kaworu Ebana
4Genetic Resources Center, National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
Shiori Yabe
5Institute of Crop Science, National Agriculture and Food Research Organization, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8518, Japan
Hiroshi Nakagawa
6Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, 3-1-3 Kannondai, Tsukuba, Ibaraki 305-8604, Japan
Hiroyoshi Iwata
1Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
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Posted October 10, 2019.
Choosing the optimal population for a genome-wide association study: a simulation using whole-genome sequences from rice
Kosuke Hamazaki, Hiromi Kajiya-Kanegae, Masanori Yamasaki, Kaworu Ebana, Shiori Yabe, Hiroshi Nakagawa, Hiroyoshi Iwata
bioRxiv 798850; doi: https://doi.org/10.1101/798850
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