3.5KJPNv2: an allele frequency panel of 3552 Japanese individuals including the X chromosome

The first step towards realizing personalized healthcare is to catalog the genetic variations in a population. Since the dissemination of individual-level genomic information is strictly controlled, it will be useful to construct population-level allele frequency panels with easy-to-use interfaces....

Full description

Saved in:
Bibliographic Details
Published inHuman genome variation Vol. 6; no. 1; p. 28
Main Authors Tadaka, Shu, Katsuoka, Fumiki, Ueki, Masao, Kojima, Kaname, Makino, Satoshi, Saito, Sakae, Otsuki, Akihito, Gocho, Chinatsu, Sakurai-Yageta, Mika, Danjoh, Inaho, Motoike, Ikuko N., Yamaguchi-Kabata, Yumi, Shirota, Matsuyuki, Koshiba, Seizo, Nagasaki, Masao, Minegishi, Naoko, Hozawa, Atsushi, Kuriyama, Shinichi, Shimizu, Atsushi, Yasuda, Jun, Fuse, Nobuo, Tamiya, Gen, Yamamoto, Masayuki, Kinoshita, Kengo
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 18.06.2019
Springer Nature B.V
Subjects
Online AccessGet full text

Cover

Loading…
Abstract The first step towards realizing personalized healthcare is to catalog the genetic variations in a population. Since the dissemination of individual-level genomic information is strictly controlled, it will be useful to construct population-level allele frequency panels with easy-to-use interfaces. In the Tohoku Medical Megabank Project, we sequenced nearly 4000 individuals from a Japanese population and constructed an allele frequency panel of 3552 individuals after removing related samples. The panel is called the 3.5KJPNv2. It was constructed by using a standard pipeline including the 1KGP and gnomAD algorithms to reduce technical biases and to allow comparisons to other populations. Our database is the first large-scale panel providing the frequencies of variants present on the X chromosome and on the mitochondria in the Japanese population. All the data are available on our original database at https://jmorp.megabank.tohoku.ac.jp . Population genetics: large database of Japanese gene variations constructed A new database provides information on the frequency of genetic variations within 3552 Japanese individuals, and facilitates comparisons with other populations. The reference panel, constructed by Kengo Kinoshita of Tohoku University, Sendai, and colleagues in Japan is also the first large-scale database to provide genetic variation frequency information on the X chromosome and mitochondrial DNA in the Japanese population. The methods used to sequence the genetic data are similar to those used in other large databases, allowing comparisons with other populations. The population size and methods used to compile the database overcome limitations in previous Japanese reference panels. This and similar databases that catalog genetic variations within populations can improve efforts towards personalizing healthcare and contribute to the study of human population genetics. The database is publicly available online.
AbstractList The first step towards realizing personalized healthcare is to catalog the genetic variations in a population. Since the dissemination of individual-level genomic information is strictly controlled, it will be useful to construct population-level allele frequency panels with easy-to-use interfaces. In the Tohoku Medical Megabank Project, we sequenced nearly 4000 individuals from a Japanese population and constructed an allele frequency panel of 3552 individuals after removing related samples. The panel is called the 3.5KJPNv2. It was constructed by using a standard pipeline including the 1KGP and gnomAD algorithms to reduce technical biases and to allow comparisons to other populations. Our database is the first large-scale panel providing the frequencies of variants present on the X chromosome and on the mitochondria in the Japanese population. All the data are available on our original database at https://jmorp.megabank.tohoku.ac.jp.The first step towards realizing personalized healthcare is to catalog the genetic variations in a population. Since the dissemination of individual-level genomic information is strictly controlled, it will be useful to construct population-level allele frequency panels with easy-to-use interfaces. In the Tohoku Medical Megabank Project, we sequenced nearly 4000 individuals from a Japanese population and constructed an allele frequency panel of 3552 individuals after removing related samples. The panel is called the 3.5KJPNv2. It was constructed by using a standard pipeline including the 1KGP and gnomAD algorithms to reduce technical biases and to allow comparisons to other populations. Our database is the first large-scale panel providing the frequencies of variants present on the X chromosome and on the mitochondria in the Japanese population. All the data are available on our original database at https://jmorp.megabank.tohoku.ac.jp.
The first step towards realizing personalized healthcare is to catalog the genetic variations in a population. Since the dissemination of individual-level genomic information is strictly controlled, it will be useful to construct population-level allele frequency panels with easy-to-use interfaces. In the Tohoku Medical Megabank Project, we sequenced nearly 4000 individuals from a Japanese population and constructed an allele frequency panel of 3552 individuals after removing related samples. The panel is called the 3.5KJPNv2. It was constructed by using a standard pipeline including the 1KGP and gnomAD algorithms to reduce technical biases and to allow comparisons to other populations. Our database is the first large-scale panel providing the frequencies of variants present on the X chromosome and on the mitochondria in the Japanese population. All the data are available on our original database at https://jmorp.megabank.tohoku.ac.jp.Population genetics: large database of Japanese gene variations constructedA new database provides information on the frequency of genetic variations within 3552 Japanese individuals, and facilitates comparisons with other populations. The reference panel, constructed by Kengo Kinoshita of Tohoku University, Sendai, and colleagues in Japan is also the first large-scale database to provide genetic variation frequency information on the X chromosome and mitochondrial DNA in the Japanese population. The methods used to sequence the genetic data are similar to those used in other large databases, allowing comparisons with other populations. The population size and methods used to compile the database overcome limitations in previous Japanese reference panels. This and similar databases that catalog genetic variations within populations can improve efforts towards personalizing healthcare and contribute to the study of human population genetics. The database is publicly available online.
The first step towards realizing personalized healthcare is to catalog the genetic variations in a population. Since the dissemination of individual-level genomic information is strictly controlled, it will be useful to construct population-level allele frequency panels with easy-to-use interfaces. In the Tohoku Medical Megabank Project, we sequenced nearly 4000 individuals from a Japanese population and constructed an allele frequency panel of 3552 individuals after removing related samples. The panel is called the 3.5KJPNv2. It was constructed by using a standard pipeline including the 1KGP and gnomAD algorithms to reduce technical biases and to allow comparisons to other populations. Our database is the first large-scale panel providing the frequencies of variants present on the X chromosome and on the mitochondria in the Japanese population. All the data are available on our original database at https://jmorp.megabank.tohoku.ac.jp . A new database provides information on the frequency of genetic variations within 3552 Japanese individuals, and facilitates comparisons with other populations. The reference panel, constructed by Kengo Kinoshita of Tohoku University, Sendai, and colleagues in Japan is also the first large-scale database to provide genetic variation frequency information on the X chromosome and mitochondrial DNA in the Japanese population. The methods used to sequence the genetic data are similar to those used in other large databases, allowing comparisons with other populations. The population size and methods used to compile the database overcome limitations in previous Japanese reference panels. This and similar databases that catalog genetic variations within populations can improve efforts towards personalizing healthcare and contribute to the study of human population genetics. The database is publicly available online.
The first step towards realizing personalized healthcare is to catalog the genetic variations in a population. Since the dissemination of individual-level genomic information is strictly controlled, it will be useful to construct population-level allele frequency panels with easy-to-use interfaces. In the Tohoku Medical Megabank Project, we sequenced nearly 4000 individuals from a Japanese population and constructed an allele frequency panel of 3552 individuals after removing related samples. The panel is called the 3.5KJPNv2. It was constructed by using a standard pipeline including the 1KGP and gnomAD algorithms to reduce technical biases and to allow comparisons to other populations. Our database is the first large-scale panel providing the frequencies of variants present on the X chromosome and on the mitochondria in the Japanese population. All the data are available on our original database at https://jmorp.megabank.tohoku.ac.jp . Population genetics: large database of Japanese gene variations constructed A new database provides information on the frequency of genetic variations within 3552 Japanese individuals, and facilitates comparisons with other populations. The reference panel, constructed by Kengo Kinoshita of Tohoku University, Sendai, and colleagues in Japan is also the first large-scale database to provide genetic variation frequency information on the X chromosome and mitochondrial DNA in the Japanese population. The methods used to sequence the genetic data are similar to those used in other large databases, allowing comparisons with other populations. The population size and methods used to compile the database overcome limitations in previous Japanese reference panels. This and similar databases that catalog genetic variations within populations can improve efforts towards personalizing healthcare and contribute to the study of human population genetics. The database is publicly available online.
The first step towards realizing personalized healthcare is to catalog the genetic variations in a population. Since the dissemination of individual-level genomic information is strictly controlled, it will be useful to construct population-level allele frequency panels with easy-to-use interfaces. In the Tohoku Medical Megabank Project, we sequenced nearly 4000 individuals from a Japanese population and constructed an allele frequency panel of 3552 individuals after removing related samples. The panel is called the 3.5KJPNv2. It was constructed by using a standard pipeline including the 1KGP and gnomAD algorithms to reduce technical biases and to allow comparisons to other populations. Our database is the first large-scale panel providing the frequencies of variants present on the X chromosome and on the mitochondria in the Japanese population. All the data are available on our original database at https://jmorp.megabank.tohoku.ac.jp .
The first step towards realizing personalized healthcare is to catalog the genetic variations in a population. Since the dissemination of individual-level genomic information is strictly controlled, it will be useful to construct population-level allele frequency panels with easy-to-use interfaces. In the Tohoku Medical Megabank Project, we sequenced nearly 4000 individuals from a Japanese population and constructed an allele frequency panel of 3552 individuals after removing related samples. The panel is called the 3.5KJPNv2. It was constructed by using a standard pipeline including the 1KGP and gnomAD algorithms to reduce technical biases and to allow comparisons to other populations. Our database is the first large-scale panel providing the frequencies of variants present on the X chromosome and on the mitochondria in the Japanese population. All the data are available on our original database at https://jmorp.megabank.tohoku.ac.jp.
ArticleNumber 28
Author Motoike, Ikuko N.
Minegishi, Naoko
Yamamoto, Masayuki
Tadaka, Shu
Shirota, Matsuyuki
Katsuoka, Fumiki
Saito, Sakae
Otsuki, Akihito
Yasuda, Jun
Gocho, Chinatsu
Nagasaki, Masao
Danjoh, Inaho
Hozawa, Atsushi
Yamaguchi-Kabata, Yumi
Makino, Satoshi
Kojima, Kaname
Shimizu, Atsushi
Sakurai-Yageta, Mika
Kinoshita, Kengo
Koshiba, Seizo
Tamiya, Gen
Fuse, Nobuo
Ueki, Masao
Kuriyama, Shinichi
Author_xml – sequence: 1
  givenname: Shu
  orcidid: 0000-0002-8256-0735
  surname: Tadaka
  fullname: Tadaka, Shu
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University
– sequence: 2
  givenname: Fumiki
  surname: Katsuoka
  fullname: Katsuoka, Fumiki
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University
– sequence: 3
  givenname: Masao
  surname: Ueki
  fullname: Ueki, Masao
  organization: Tohoku Medical Megabank Organization, Tohoku University, Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project
– sequence: 4
  givenname: Kaname
  surname: Kojima
  fullname: Kojima, Kaname
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University, Graduate School of Information Sciences, Tohoku University
– sequence: 5
  givenname: Satoshi
  surname: Makino
  fullname: Makino, Satoshi
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University
– sequence: 6
  givenname: Sakae
  surname: Saito
  fullname: Saito, Sakae
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University
– sequence: 7
  givenname: Akihito
  surname: Otsuki
  fullname: Otsuki, Akihito
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University
– sequence: 8
  givenname: Chinatsu
  surname: Gocho
  fullname: Gocho, Chinatsu
  organization: Tohoku Medical Megabank Organization, Tohoku University
– sequence: 9
  givenname: Mika
  surname: Sakurai-Yageta
  fullname: Sakurai-Yageta, Mika
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University
– sequence: 10
  givenname: Inaho
  surname: Danjoh
  fullname: Danjoh, Inaho
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University
– sequence: 11
  givenname: Ikuko N.
  surname: Motoike
  fullname: Motoike, Ikuko N.
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University, Graduate School of Information Sciences, Tohoku University
– sequence: 12
  givenname: Yumi
  surname: Yamaguchi-Kabata
  fullname: Yamaguchi-Kabata, Yumi
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University
– sequence: 13
  givenname: Matsuyuki
  surname: Shirota
  fullname: Shirota, Matsuyuki
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University, Graduate School of Information Sciences, Tohoku University
– sequence: 14
  givenname: Seizo
  surname: Koshiba
  fullname: Koshiba, Seizo
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University
– sequence: 15
  givenname: Masao
  surname: Nagasaki
  fullname: Nagasaki, Masao
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University, Graduate School of Information Sciences, Tohoku University
– sequence: 16
  givenname: Naoko
  surname: Minegishi
  fullname: Minegishi, Naoko
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University, Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University
– sequence: 17
  givenname: Atsushi
  surname: Hozawa
  fullname: Hozawa, Atsushi
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University
– sequence: 18
  givenname: Shinichi
  surname: Kuriyama
  fullname: Kuriyama, Shinichi
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University, International Research Institute of Disaster Science, Tohoku University
– sequence: 19
  givenname: Atsushi
  surname: Shimizu
  fullname: Shimizu, Atsushi
  organization: Iwate Tohoku Medical Megabank Organization, Iwate Medical University
– sequence: 20
  givenname: Jun
  surname: Yasuda
  fullname: Yasuda, Jun
  organization: Tohoku Medical Megabank Organization, Tohoku University, Miyagi Cancer Center, Miyagi Hospital Organization
– sequence: 21
  givenname: Nobuo
  surname: Fuse
  fullname: Fuse, Nobuo
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University
– sequence: 23
  givenname: Gen
  surname: Tamiya
  fullname: Tamiya, Gen
  organization: Tohoku Medical Megabank Organization, Tohoku University, Statistical Genetics Team, RIKEN Center for Advanced Intelligence Project
– sequence: 24
  givenname: Masayuki
  surname: Yamamoto
  fullname: Yamamoto, Masayuki
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Medicine, Tohoku University, Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University
– sequence: 25
  givenname: Kengo
  orcidid: 0000-0003-3453-2171
  surname: Kinoshita
  fullname: Kinoshita, Kengo
  email: kengo@ecei.tohoku.ac.jp
  organization: Tohoku Medical Megabank Organization, Tohoku University, Graduate School of Information Sciences, Tohoku University, Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Institute of Development, Aging and Cancer, Tohoku University
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31240104$$D View this record in MEDLINE/PubMed
BookMark eNp9kU1rFTEUhoNUbK39AW4k4MbN1JOvmRsXghS_alEXXXQhhNzMmXtTMsk1mbnQf28ut9Va0EXICXnel_ec85QcxBSRkOcMThmIxesimRS6AVYPKN2oR-SIg5KNkOrq4F59SE5KuQYAprRcMPGEHArGJTCQR-SHOFVfzr9_3fI31EZqQ8CAdMj4c8bobujGRgw0DVQoxem53b0LUh97v_X9bEOptQtz7-OKTmukV9StcxpTSSM-I4-HSuDJ7X1MLj-8vzz71Fx8-_j57N1F41QLU2OhbTlfCjdYiU4OjA01rbbcMWyF0EvdOQ09tL3tlNSu7TQT6GzXwaBsJ47J273tZl6O2DuMU7bBbLIfbb4xyXrz90_0a7NKW9OqBdPAq8GrW4Ocat9lMqMvDkOozaa5GM4V1ISgFxV9-QC9TnOOtbtKSd51ok65Ui_uJ_od5W7uFej2gMuplIyDcX6yk0-7gD4YBma3ZLNfsqlLNrslG1WV7IHyzvx_Gr7XlMrGFeY_of8t-gVlMbca
CitedBy_id crossref_primary_10_1007_s41105_021_00349_2
crossref_primary_10_1038_s41467_020_20146_8
crossref_primary_10_7759_cureus_33379
crossref_primary_10_3390_ijms252111679
crossref_primary_10_1093_nar_gkaa1034
crossref_primary_10_1097_HEP_0000000000000894
crossref_primary_10_1038_s41598_021_87982_6
crossref_primary_10_1016_j_xops_2022_100113
crossref_primary_10_1038_s41598_020_73263_1
crossref_primary_10_1038_s41598_020_77081_3
crossref_primary_10_1016_j_hrthm_2025_03_1974
crossref_primary_10_1002_ajmg_a_62152
crossref_primary_10_1186_s40246_019_0234_2
crossref_primary_10_1093_jb_mvab060
crossref_primary_10_1093_hmg_ddac093
crossref_primary_10_3389_fneur_2022_978532
crossref_primary_10_1038_s41467_022_32005_9
crossref_primary_10_1007_s00228_022_03424_w
crossref_primary_10_1097_MD_0000000000028828
crossref_primary_10_1016_j_ebiom_2020_103130
crossref_primary_10_1016_j_jacasi_2023_03_011
crossref_primary_10_3389_fmolb_2022_1040237
crossref_primary_10_1002_humu_24036
crossref_primary_10_1038_s41439_021_00175_5
crossref_primary_10_1002_ajmg_a_62132
crossref_primary_10_1111_cge_14640
crossref_primary_10_1038_s41598_023_30464_8
crossref_primary_10_1089_bio_2022_0211
crossref_primary_10_1038_s10038_021_00952_8
crossref_primary_10_1183_13993003_01511_2023
crossref_primary_10_1093_nar_gkad978
crossref_primary_10_1186_s12884_024_06376_4
crossref_primary_10_1038_s41598_021_95521_6
crossref_primary_10_1038_s10038_020_0815_x
crossref_primary_10_1016_j_drudis_2024_104134
crossref_primary_10_1038_s41439_023_00252_x
crossref_primary_10_1007_s10384_024_01103_0
crossref_primary_10_1038_s10038_025_01330_4
crossref_primary_10_1038_s10038_020_0745_7
crossref_primary_10_1111_gtc_13164
crossref_primary_10_5551_jat_64906
crossref_primary_10_1016_j_jare_2023_12_018
crossref_primary_10_1016_j_xcrm_2023_101114
crossref_primary_10_3389_fgene_2023_1102101
crossref_primary_10_1126_sciadv_adi8419
crossref_primary_10_2188_jea_JE20230192
crossref_primary_10_5674_jjppp_2302si
crossref_primary_10_1038_s42003_021_02813_8
crossref_primary_10_1080_15257770_2024_2387033
crossref_primary_10_1038_s41439_022_00213_w
crossref_primary_10_1111_cge_14103
crossref_primary_10_1097_CM9_0000000000002985
crossref_primary_10_1038_s42003_021_02030_3
crossref_primary_10_1371_journal_pone_0236907
crossref_primary_10_1016_j_braindev_2020_10_010
crossref_primary_10_26508_lsa_202101319
crossref_primary_10_3389_fgene_2024_1408952
crossref_primary_10_1016_j_celrep_2023_113324
crossref_primary_10_1038_s10038_024_01314_w
crossref_primary_10_1016_j_heliyon_2024_e36023
crossref_primary_10_1002_ajmg_a_62982
crossref_primary_10_1038_s42003_020_01383_5
crossref_primary_10_1002_ajmg_a_62226
crossref_primary_10_1016_j_jacl_2022_01_007
crossref_primary_10_1038_s41467_022_29109_7
crossref_primary_10_1002_ajmg_a_61373
crossref_primary_10_1016_j_jpeds_2020_01_064
crossref_primary_10_1371_journal_pone_0239614
crossref_primary_10_1002_ajmg_a_61892
crossref_primary_10_1038_s41588_024_01782_y
crossref_primary_10_1089_thy_2021_0417
crossref_primary_10_1080_15476286_2024_2340297
crossref_primary_10_1093_rheumatology_keae492
crossref_primary_10_1016_j_ejmg_2022_104512
crossref_primary_10_1002_gepi_70002
crossref_primary_10_1007_s12272_019_01193_2
crossref_primary_10_1093_nar_gkac638
crossref_primary_10_1093_hmg_ddab361
crossref_primary_10_1111_pcn_13474
crossref_primary_10_1007_s12282_022_01404_7
crossref_primary_10_1093_dnares_dsae028
crossref_primary_10_1007_s13340_023_00618_0
crossref_primary_10_1093_nar_gkz829
crossref_primary_10_1371_journal_pone_0289029
crossref_primary_10_1038_s10038_022_01094_1
crossref_primary_10_1016_j_xgen_2024_100625
crossref_primary_10_1111_cas_14552
crossref_primary_10_1016_j_braindev_2020_02_008
crossref_primary_10_1016_j_reth_2022_11_007
crossref_primary_10_3390_jpm12122040
crossref_primary_10_1002_ajmg_a_63614
crossref_primary_10_1016_j_cll_2020_02_002
crossref_primary_10_3389_fimmu_2024_1475179
crossref_primary_10_1111_cas_16365
crossref_primary_10_1038_s41439_022_00222_9
crossref_primary_10_1111_ped_14565
crossref_primary_10_1016_j_bbrc_2019_11_151
crossref_primary_10_1016_j_jacl_2020_05_007
crossref_primary_10_1038_s10038_020_0786_y
crossref_primary_10_1038_s41525_022_00298_w
crossref_primary_10_1111_cge_14536
crossref_primary_10_1016_j_xgen_2025_100776
crossref_primary_10_1038_s10038_024_01223_y
crossref_primary_10_1016_j_ymgmr_2023_100968
crossref_primary_10_1093_molbev_msab060
crossref_primary_10_1038_s41439_020_00133_7
crossref_primary_10_1111_pcn_13731
crossref_primary_10_1002_ajmg_a_63328
crossref_primary_10_1038_s42003_022_03953_1
crossref_primary_10_1038_s10038_022_01015_2
crossref_primary_10_1038_s41422_023_00849_5
crossref_primary_10_1007_s10875_021_00977_w
crossref_primary_10_1210_clinem_dgac572
crossref_primary_10_1038_s41564_023_01381_3
crossref_primary_10_1126_scitranslmed_abf3274
crossref_primary_10_1016_j_chest_2021_08_052
crossref_primary_10_1038_s10038_020_0751_9
crossref_primary_10_1111_cas_14290
crossref_primary_10_1038_s42003_020_0812_9
crossref_primary_10_1136_jmg_2022_109027
Cites_doi 10.1186/1471-2164-16-S2-S7
10.1093/nar/29.1.308
10.1126/science.1219240
10.1016/j.ijcard.2013.03.028
10.1038/ncomms9018
10.2188/jea.JE20150268
10.1186/1471-2105-16-S17-S3
10.1038/s10038-017-0347-1
10.4161/fly.19695
10.1093/nar/gkx978
10.1101/gr.135350.111
10.1016/j.ab.2014.08.015
10.1093/bioinformatics/btp352
10.1038/ejhg.2017.106
10.1371/journal.pmed.1001779
10.1038/nature19057
10.1038/hgv.2015.50
10.1016/j.bcp.2018.09.010
10.1038/nature15393
10.1016/j.dmpk.2018.08.003
10.1038/s41467-018-03274-0
10.1093/ije/dyu229
10.1038/jhg.2015.68
10.1124/dmd.118.081737
10.1093/bioinformatics/btu548
10.3389/fgene.2012.00035
10.1101/531210
10.1007/978-4-431-68302-5_25
ContentType Journal Article
Copyright The Author(s) 2019
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.
Copyright_xml – notice: The Author(s) 2019
– notice: 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.
CorporateAuthor the Tohoku Medical Megabank Project Study Group
Tohoku Medical Megabank Project Study Group
CorporateAuthor_xml – name: the Tohoku Medical Megabank Project Study Group
– name: Tohoku Medical Megabank Project Study Group
DBID C6C
AAYXX
CITATION
NPM
3V.
7T3
7X7
7XB
8FD
8FE
8FH
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
CCPQU
DWQXO
FR3
FYUFA
GHDGH
GNUQQ
HCIFZ
K9.
LK8
M0S
M7P
P64
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
7X8
5PM
DOI 10.1038/s41439-019-0059-5
DatabaseName Springer Nature OA Free Journals
CrossRef
PubMed
ProQuest Central (Corporate)
Human Genome Abstracts
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Technology Research Database
ProQuest SciTech Collection
ProQuest Natural Science Journals
ProQuest Hospital Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
Biological Science Database
ProQuest Central
Natural Science Collection
ProQuest One Community College
ProQuest Central
Engineering Research Database
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
Biological Sciences
Health & Medical Collection (Alumni)
Biological Science Database
Biotechnology and BioEngineering Abstracts
ProQuest Central Premium
ProQuest One Academic
ProQuest Publicly Available Content
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
PubMed
Publicly Available Content Database
ProQuest Central Student
Technology Research Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Natural Science Collection
ProQuest Central China
ProQuest Central
ProQuest One Applied & Life Sciences
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Natural Science Collection
ProQuest Central Korea
Biological Science Collection
ProQuest Central (New)
Human Genome Abstracts
ProQuest Biological Science Collection
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
ProQuest SciTech Collection
ProQuest Hospital Collection (Alumni)
Biotechnology and BioEngineering Abstracts
ProQuest Health & Medical Complete
ProQuest One Academic UKI Edition
Engineering Research Database
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic
Publicly Available Content Database


CrossRef
PubMed
Database_xml – sequence: 1
  dbid: C6C
  name: Springer Nature OA Free Journals
  url: http://www.springeropen.com/
  sourceTypes: Publisher
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 2054-345X
ExternalDocumentID PMC6581902
31240104
10_1038_s41439_019_0059_5
Genre Journal Article
GrantInformation_xml – fundername: Japan Agency for Medical Research and Development (AMED)
  grantid: JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105003; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002
  funderid: https://doi.org/10.13039/100009619
– fundername: ;
  grantid: JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105003; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002; JP18km0105001; JP18km0105002
GroupedDBID 0R~
3V.
53G
5VS
7X7
8FI
8FJ
AAJSJ
ABUWG
ACGFS
ACSMW
ADBBV
AFKRA
AJTQC
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AOIJS
BAWUL
BBNVY
BCNDV
BENPR
BHPHI
BPHCQ
BVXVI
C6C
CCPQU
DIK
EBLON
EBS
EJD
EMOBN
FYUFA
GROUPED_DOAJ
HCIFZ
HMCUK
HYE
KQ8
M7P
M~E
NAO
OK1
PIMPY
PQQKQ
PROAC
RNT
RPM
SNYQT
UKHRP
AASML
AAYXX
CITATION
PHGZM
PHGZT
NPM
7T3
7XB
8FD
8FE
8FH
8FK
AARCD
AZQEC
DWQXO
FR3
GNUQQ
K9.
LK8
P64
PKEHL
PQEST
PQGLB
PQUKI
PRINS
7X8
5PM
ID FETCH-LOGICAL-c560t-a06622b3cfa4ec4f11f0009a2c1e6339b97c90d06da7549c67913eca770f5a73
IEDL.DBID C6C
ISSN 2054-345X
IngestDate Thu Aug 21 14:05:16 EDT 2025
Fri Jul 11 12:42:07 EDT 2025
Wed Aug 13 04:50:19 EDT 2025
Thu Jan 02 22:59:20 EST 2025
Tue Jul 01 02:40:51 EDT 2025
Thu Apr 24 23:04:15 EDT 2025
Fri Feb 21 02:39:32 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords Rare variants
Structural variation
Language English
License Open Access 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 http://creativecommons.org/licenses/by/4.0/.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c560t-a06622b3cfa4ec4f11f0009a2c1e6339b97c90d06da7549c67913eca770f5a73
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0003-3453-2171
0000-0002-8256-0735
OpenAccessLink https://www.nature.com/articles/s41439-019-0059-5
PMID 31240104
PQID 2242773159
PQPubID 2041955
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_6581902
proquest_miscellaneous_2250622098
proquest_journals_2242773159
pubmed_primary_31240104
crossref_citationtrail_10_1038_s41439_019_0059_5
crossref_primary_10_1038_s41439_019_0059_5
springer_journals_10_1038_s41439_019_0059_5
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2019-06-18
PublicationDateYYYYMMDD 2019-06-18
PublicationDate_xml – month: 06
  year: 2019
  text: 2019-06-18
  day: 18
PublicationDecade 2010
PublicationPlace London
PublicationPlace_xml – name: London
– name: England
PublicationTitle Human genome variation
PublicationTitleAbbrev Hum Genome Var
PublicationTitleAlternate Hum Genome Var
PublicationYear 2019
Publisher Nature Publishing Group UK
Springer Nature B.V
Publisher_xml – name: Nature Publishing Group UK
– name: Springer Nature B.V
References Scholtens (CR2) 2015; 44
Sudlow (CR1) 2015; 12
Hishinuma (CR10) 2018; 46
Lek (CR4) 2016; 536
CR19
CR18
CR15
Katsuoka (CR17) 2014; 466
CR13
Tabara (CR16) 2013; 168
Harrow (CR21) 2012; 22
Nagasaki (CR5) 2015; 6
Okada (CR29) 2018; 9
Auton (CR14) 2015; 526
Cingolani (CR20) 2012; 6
Nariai (CR28) 2015; 16
Kumondai (CR12) 2018; 33
Szolek (CR27) 2014; 30
Yamaguchi-Kabata (CR6) 2015; 2
Watanabe (CR11) 2018; 156
Kawai (CR25) 2015; 60
CR22
Wysoker (CR24) 2009; 25
Tadaka (CR30) 2018; 46
Sherry (CR23) 2001; 29
Phan, Gao, Tran, Vo (CR26) 2015; 16
Yamaguchi-Kabata (CR8) 2018; 63
Adachi (CR9) 2017; 25
Kuriyama (CR7) 2016; 26
Tennessen (CR3) 2012; 336
P Cingolani (59_CR20) 2012; 6
T Adachi (59_CR9) 2017; 25
59_CR13
59_CR15
A Szolek (59_CR27) 2014; 30
T Watanabe (59_CR11) 2018; 156
Y Tabara (59_CR16) 2013; 168
F Katsuoka (59_CR17) 2014; 466
Y Kawai (59_CR25) 2015; 60
S Kuriyama (59_CR7) 2016; 26
A Wysoker (59_CR24) 2009; 25
ST Sherry (59_CR23) 2001; 29
E Hishinuma (59_CR10) 2018; 46
59_CR18
59_CR19
JA Tennessen (59_CR3) 2012; 336
M Lek (59_CR4) 2016; 536
59_CR22
Y Okada (59_CR29) 2018; 9
J Harrow (59_CR21) 2012; 22
V Phan (59_CR26) 2015; 16
Y Yamaguchi-Kabata (59_CR6) 2015; 2
C Sudlow (59_CR1) 2015; 12
S Tadaka (59_CR30) 2018; 46
N Nariai (59_CR28) 2015; 16
Y Yamaguchi-Kabata (59_CR8) 2018; 63
A Auton (59_CR14) 2015; 526
M Nagasaki (59_CR5) 2015; 6
M Kumondai (59_CR12) 2018; 33
S Scholtens (59_CR2) 2015; 44
References_xml – ident: CR22
– volume: 16
  year: 2015
  ident: CR28
  article-title: HLA-VBSeq: Accurate HLA typing at full resolution from whole-genome sequencing data
  publication-title: BMC Genomics
  doi: 10.1186/1471-2164-16-S2-S7
– ident: CR18
– volume: 29
  start-page: 308
  year: 2001
  end-page: 311
  ident: CR23
  article-title: dbSNP: the NCBI database of genetic variation
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/29.1.308
– volume: 336
  start-page: 64
  year: 2012
  end-page: 69
  ident: CR3
  article-title: Evolution and functional impact of rare coding variation from deep sequencing of human exomes
  publication-title: Science (80-.).
  doi: 10.1126/science.1219240
– volume: 168
  start-page: 2673
  year: 2013
  end-page: 2677
  ident: CR16
  article-title: Increased aortic wave reflection and smaller pulse pressure amplification in smokers and passive smokers confirmed by urinary cotinine levels: The Nagahama Study
  publication-title: Int. J. Cardiol.
  doi: 10.1016/j.ijcard.2013.03.028
– volume: 6
  start-page: 1
  year: 2015
  end-page: 13
  ident: CR5
  article-title: Rare variant discovery by deep whole-genome sequencing of 1,070 Japanese individuals
  publication-title: Nat. Commun.
  doi: 10.1038/ncomms9018
– volume: 26
  start-page: 493
  year: 2016
  end-page: 511
  ident: CR7
  article-title: The Tohoku Medical Megabank Project: design and mission
  publication-title: J. Epidemiol.
  doi: 10.2188/jea.JE20150268
– volume: 16
  year: 2015
  ident: CR26
  article-title: How genome complexity can explain the difficulty of aligning reads to genomes
  publication-title: BMC Bioinformatics
  doi: 10.1186/1471-2105-16-S17-S3
– volume: 63
  start-page: 213
  year: 2018
  end-page: 230
  ident: CR8
  article-title: Evaluation of reported pathogenic variants and their frequencies in a Japanese population based on a whole-genome reference panel of 2049 individuals article
  publication-title: J. Hum. Genet.
  doi: 10.1038/s10038-017-0347-1
– volume: 6
  start-page: 80
  year: 2012
  end-page: 92
  ident: CR20
  article-title: A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3
  publication-title: Fly (Austin).
  doi: 10.4161/fly.19695
– volume: 46
  start-page: D551
  year: 2018
  end-page: D557
  ident: CR30
  article-title: JMorp: Japanese Multi Omics Reference Panel
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gkx978
– volume: 22
  start-page: 1760
  year: 2012
  end-page: 1774
  ident: CR21
  article-title: GENCODE: The reference human genome annotation for the ENCODE project
  publication-title: Genome Res.
  doi: 10.1101/gr.135350.111
– volume: 466
  start-page: 27
  year: 2014
  end-page: 29
  ident: CR17
  article-title: An efficient quantitation method of next-generation sequencing libraries by using MiSeq sequencer
  publication-title: Anal. Biochem.
  doi: 10.1016/j.ab.2014.08.015
– volume: 25
  start-page: 2078
  year: 2009
  end-page: 2079
  ident: CR24
  article-title: The Sequence Alignment/Map format and SAMtools
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btp352
– ident: CR19
– volume: 25
  start-page: 1025
  year: 2017
  end-page: 1028
  ident: CR9
  article-title: Japan’s initiative on rare and undiagnosed diseases (IRUD): towards an end to the diagnostic odyssey
  publication-title: Eur. J. Hum. Genet.
  doi: 10.1038/ejhg.2017.106
– volume: 12
  year: 2015
  ident: CR1
  article-title: UK Biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age
  publication-title: PLoS Med.
  doi: 10.1371/journal.pmed.1001779
– volume: 536
  start-page: 285
  year: 2016
  end-page: 291
  ident: CR4
  article-title: Analysis of protein-coding genetic variation in 60,706 humans
  publication-title: Nature
  doi: 10.1038/nature19057
– volume: 2
  start-page: 15050
  year: 2015
  ident: CR6
  article-title: iJGVD: an integrative Japanese genome variation database based on whole-genome sequencing
  publication-title: Hum. Genome Var.
  doi: 10.1038/hgv.2015.50
– volume: 156
  start-page: 420
  year: 2018
  end-page: 430
  ident: CR11
  article-title: Functional characterization of 40 CYP2B6 allelic variants by assessing efavirenz 8-hydroxylation
  publication-title: Biochem. Pharmacol.
  doi: 10.1016/j.bcp.2018.09.010
– volume: 526
  start-page: 68
  year: 2015
  end-page: 74
  ident: CR14
  article-title: A global reference for human genetic variation
  publication-title: Nature
  doi: 10.1038/nature15393
– volume: 33
  start-page: 258
  year: 2018
  end-page: 263
  ident: CR12
  article-title: Development and application of a rapid and sensitive genotyping method for pharmacogene variants using the single-stranded tag hybridization chromatographic printed-array strip (STH-PAS)
  publication-title: Drug Metab. Pharmacokinet.
  doi: 10.1016/j.dmpk.2018.08.003
– ident: CR15
– volume: 9
  start-page: 1631
  issue: 1
  year: 2018
  ident: CR29
  article-title: Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-018-03274-0
– ident: CR13
– volume: 44
  start-page: 1172
  year: 2015
  end-page: 1180
  ident: CR2
  article-title: Cohort Profile: LifeLines, a three-generation cohort study and biobank
  publication-title: Int. J. Epidemiol.
  doi: 10.1093/ije/dyu229
– volume: 60
  start-page: 581
  year: 2015
  end-page: 587
  ident: CR25
  article-title: Japonica array: Improved genotype imputation by designing a population-specific SNP array with 1070 Japanese individuals
  publication-title: J. Hum. Genet.
  doi: 10.1038/jhg.2015.68
– volume: 46
  start-page: 1083
  year: 2018
  end-page: 1090
  ident: CR10
  article-title: Functional characterization of 21 allelic variants of dihydropyrimidine dehydrogenase identified in 1070 Japanese individuals
  publication-title: Drug Metab. Dispos.
  doi: 10.1124/dmd.118.081737
– volume: 30
  start-page: 3310
  year: 2014
  end-page: 3316
  ident: CR27
  article-title: OptiType: Precision HLA typing from next-generation sequencing data
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btu548
– ident: 59_CR19
– volume: 63
  start-page: 213
  year: 2018
  ident: 59_CR8
  publication-title: J. Hum. Genet.
  doi: 10.1038/s10038-017-0347-1
– volume: 466
  start-page: 27
  year: 2014
  ident: 59_CR17
  publication-title: Anal. Biochem.
  doi: 10.1016/j.ab.2014.08.015
– volume: 2
  start-page: 15050
  year: 2015
  ident: 59_CR6
  publication-title: Hum. Genome Var.
  doi: 10.1038/hgv.2015.50
– volume: 33
  start-page: 258
  year: 2018
  ident: 59_CR12
  publication-title: Drug Metab. Pharmacokinet.
  doi: 10.1016/j.dmpk.2018.08.003
– volume: 25
  start-page: 1025
  year: 2017
  ident: 59_CR9
  publication-title: Eur. J. Hum. Genet.
  doi: 10.1038/ejhg.2017.106
– volume: 16
  year: 2015
  ident: 59_CR28
  publication-title: BMC Genomics
  doi: 10.1186/1471-2164-16-S2-S7
– ident: 59_CR22
  doi: 10.3389/fgene.2012.00035
– volume: 22
  start-page: 1760
  year: 2012
  ident: 59_CR21
  publication-title: Genome Res.
  doi: 10.1101/gr.135350.111
– volume: 536
  start-page: 285
  year: 2016
  ident: 59_CR4
  publication-title: Nature
  doi: 10.1038/nature19057
– volume: 60
  start-page: 581
  year: 2015
  ident: 59_CR25
  publication-title: J. Hum. Genet.
  doi: 10.1038/jhg.2015.68
– volume: 6
  start-page: 80
  year: 2012
  ident: 59_CR20
  publication-title: Fly (Austin).
  doi: 10.4161/fly.19695
– volume: 29
  start-page: 308
  year: 2001
  ident: 59_CR23
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/29.1.308
– ident: 59_CR15
  doi: 10.1101/531210
– ident: 59_CR13
  doi: 10.1007/978-4-431-68302-5_25
– volume: 46
  start-page: 1083
  year: 2018
  ident: 59_CR10
  publication-title: Drug Metab. Dispos.
  doi: 10.1124/dmd.118.081737
– volume: 336
  start-page: 64
  year: 2012
  ident: 59_CR3
  publication-title: Science (80-.).
  doi: 10.1126/science.1219240
– ident: 59_CR18
– volume: 25
  start-page: 2078
  year: 2009
  ident: 59_CR24
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btp352
– volume: 526
  start-page: 68
  year: 2015
  ident: 59_CR14
  publication-title: Nature
  doi: 10.1038/nature15393
– volume: 16
  year: 2015
  ident: 59_CR26
  publication-title: BMC Bioinformatics
  doi: 10.1186/1471-2105-16-S17-S3
– volume: 26
  start-page: 493
  year: 2016
  ident: 59_CR7
  publication-title: J. Epidemiol.
  doi: 10.2188/jea.JE20150268
– volume: 46
  start-page: D551
  year: 2018
  ident: 59_CR30
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gkx978
– volume: 156
  start-page: 420
  year: 2018
  ident: 59_CR11
  publication-title: Biochem. Pharmacol.
  doi: 10.1016/j.bcp.2018.09.010
– volume: 9
  start-page: 1631
  issue: 1
  year: 2018
  ident: 59_CR29
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-018-03274-0
– volume: 12
  year: 2015
  ident: 59_CR1
  publication-title: PLoS Med.
  doi: 10.1371/journal.pmed.1001779
– volume: 30
  start-page: 3310
  year: 2014
  ident: 59_CR27
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btu548
– volume: 6
  start-page: 1
  year: 2015
  ident: 59_CR5
  publication-title: Nat. Commun.
  doi: 10.1038/ncomms9018
– volume: 168
  start-page: 2673
  year: 2013
  ident: 59_CR16
  publication-title: Int. J. Cardiol.
  doi: 10.1016/j.ijcard.2013.03.028
– volume: 44
  start-page: 1172
  year: 2015
  ident: 59_CR2
  publication-title: Int. J. Epidemiol.
  doi: 10.1093/ije/dyu229
SSID ssj0001594813
Score 2.4651787
Snippet The first step towards realizing personalized healthcare is to catalog the genetic variations in a population. Since the dissemination of individual-level...
SourceID pubmedcentral
proquest
pubmed
crossref
springer
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 28
SubjectTerms 631/208/726/649/2157
631/208/726/649/2219
Biomedical and Life Sciences
Biomedicine
Gene Expression
Gene Function
Gene Therapy
Human Genetics
Molecular Medicine
Population
Population genetics
SummonAdditionalLinks – databaseName: Health & Medical Collection
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1La9wwEB7SBEovpekrbpKiQE8pavSwLbuXUkpD2JCQQwp7KBitLJHAxk7i3UL_fWb8WrahORhsJGNrRtJ80oy-AfgkM6fQCpVcBp_yWGclz7VwXOugSrT_QbQHac_O05Nf8WSaTPsNt6YPqxzmxHaiLmtHe-RHaGqUMRqt77fbO05Zo8i72qfQeAZbRF1GIV1malZ7LC0XiR6cmTo7amLEBxQghBcCC56sm6NHGPNxqOQ__tLWDB2_gpc9fmTfO4Vvw4avXsPzs95D_gZ-6y_J6eTi_I_6ymzFKFPK3LNw30VM_2U4-P2c1YEhAlBsYum58ex6PJfV4L2bL8mkMQSHbMrcFYXsNfWNfwuXxz8vf5zwPoMCd4hkFtwSv7uaaRds7F0cpAwEqqxy0qda57PcuFyUIi2twYWiS00utXfWGBESa_Q72Kzqyu8A81YSE7tHFYrYJrhQi60rYxSMTYIsVQRikGPhenZxSnIxL1ovt86KTvQFir4g0RdJBIfjK7cdtcZTlfcG5RT9KGuKVZ-I4GAsxvFBTg8UX72kOolAGYg8i-B9p8vxaxrBDa1HIzBrWh4rEPf2ekl1fdVycCNwQyiFzf489IfVb_23ER-ebsQuvFBtz0y5zPZgc3G_9PsIeRazj22_fgAgqvxC
  priority: 102
  providerName: ProQuest
Title 3.5KJPNv2: an allele frequency panel of 3552 Japanese individuals including the X chromosome
URI https://link.springer.com/article/10.1038/s41439-019-0059-5
https://www.ncbi.nlm.nih.gov/pubmed/31240104
https://www.proquest.com/docview/2242773159
https://www.proquest.com/docview/2250622098
https://pubmed.ncbi.nlm.nih.gov/PMC6581902
Volume 6
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1La9wwEB7ygNJL6btO00WFnlrU6mFbdm6bJSG4ZAltCnsoGK0skcDWW-LdQP59RvIjbJcWejC2kYSlGcnzSTP6BPCBZ0agFaoodzalscwqmktmqJROVGj_HQsbac-n6dmPuJglsx3g_V6YELQfKC3Db7qPDvvSxGjYfWQPXogIaLIL-5653XfqSTp5WFYJ9COy91_KbLvkpgXagpXb0ZF_uEiD5Tl9Ck86yEjGbSWfwY6tn8Oj884p_gJ-ys_J1-JieiuOiK6JPxxlYYm7aYOk7wiOd7sgS0fQ6AtSaP_eWHI9bMVq8Nks1t6KEcSDZEbMlY_Sa5a_7Eu4PD25nJzR7tAEahC8rKj2lO5iLo3TsTWx49x5HKWF4TaVMp_nyuSsYmmlFc4NTapyLq3RSjGXaCVfwV69rO0bIFZzT75uUWss1gnOzWJtqhgFoxPHKxEB6-VYmo5Q3J9rsSiDY1tmZSv6EkVfetGXSQQfhyK_WzaNf2U-7JVTdgOrKRFxCKUkqjmC90MyDgnv50DxLdc-T8JQBizPInjd6nL4mkQ846egEagNLQ8ZPN32Zkp9fRVotxGrIXrCZn_q-8NDtf7aiIP_yv0WHovQUVPKs0PYW92s7TsEPav5CHbVTI1gfzwuvhd4Pz6ZXnwbhc4_CgsJ94_e_qY
linkProvider Springer Nature
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3raxQxEB_qFdQv4rNdWzWCflFis8k-BREfLde73lHkhPsghFw2oYVzt-3eKf2j_B-d7Os4i_3WDwu7bPaRmUnmN5nJDMArP9EctVBGfWsiGogko6lgmgpheYb637JqI-1oHPW_B4NpON2AP-1eGBdW2c6J1USdFdqtke-hquFxLFD7fjw7p65qlPOutiU0arEYmsvfaLKVHw6_In9fc36wP_nSp01VAapRuy-ocjnP-UxoqwKjA-v71gENxbVvIiHSWRrrlGUsylSMxpOO4tQXRqs4ZjZUscDX3oLNQKAl04PNz_vj42-rRZ0q-Ylovaci2SsDBCQuIgkPRDI0XNd_V0Dt1djMfxy0ld47uA_3GsBKPtUS9gA2TP4Qbo8al_wj-CHehcPB8fgXf09UTlxplrkh9qIO0b4kONuYOSksQcjByUC569KQ024jWInner50OpQgGiVTok9cjGBZ_DSPYXITxH0CvbzIzTYQo3yX-t2gzLBAhWgZBkpnARJGhdbPuAespaPUTTpzV1VjLiu3ukhkTXqJpJeO9DL04E33yFmdy-O6xrstc2QzrEu5EkIPXna3cUA6LwuSr1i6NiFDGrA08WCr5mX3NYFoyhnAHsRrXO4auGTf63fy05Mq6TciRcRu2O23rTysfuu_nXh6fSdewJ3-ZHQkjw7Hwx24yyspjaif7EJvcbE0zxBvLWbPGyknIG94XP0FAXA5cg
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VIlVcEG9SChgJLiCzsZ3ECRJCiLJqd-mqhyLtAcnyOrZaaZuUZpeqP63_jnFeq6Witx4iJYrz8HjG841nPAPwlqWGoxbKKXM2oZFIc5qJ0FAhHM9R_7uw3kh7MEn2fkajaTzdgKtuL4wPq-zmxHqizkvj18gHqGq4lAK178C1YRGHu8MvZ7-pryDlPa1dOY2GRcb28gLNt-rz_i6O9TvOh9-Pvu3RtsIANajpF1T7_Od8JozTkTWRY8x50KG5YTYRIptl0mRhHia5lmhImURmTFijpQxdrKXA196Bu1LEzIuYnMrV8k6dBkV0flSRDqoIoYmPTcIDMQ2N1zXhNXh7PUrzH1dtrQGHD-B-C13J14bXHsKGLR7B1kHrnH8Mv8THeDw6nPzhn4guiC_SMrfEnTfB2pcE5x07J6UjCD44GWl_XVly0m8Jq_DczJdemxLEpWRKzLGPFqzKU_sEjm6DtE9hsygL-xyI1cwngbfIPWGkY7QRI23yCAmjY8dyHkDY0VGZNrG5r68xV7WDXaSqIb1C0itPehUH8L5_5KzJ6nFT451ucFQr4JVasWMAb_rbKJre34LkK5e-TRwiDcIsDeBZM5b91wTiKm8KByDXRrlv4NN-r98pTo7r9N-IGRHFYbc_dPyw-q3_dmL75k68hi2UJvVjfzJ-Afd4zaQJZekObC7Ol_YlAq_F7FXN4gTULYvUX0uaPEI
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=3.5KJPNv2%3A+an+allele+frequency+panel+of+3552+Japanese+individuals+including+the+X+chromosome&rft.jtitle=Human+genome+variation&rft.au=Tadaka%2C+Shu&rft.au=Katsuoka%2C+Fumiki&rft.au=Ueki%2C+Masao&rft.au=Kojima%2C+Kaname&rft.date=2019-06-18&rft.issn=2054-345X&rft.eissn=2054-345X&rft.volume=6&rft.spage=28&rft_id=info:doi/10.1038%2Fs41439-019-0059-5&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2054-345X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2054-345X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2054-345X&client=summon