LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files

Abstract The triangular correlation heatmap aiming to visualize the linkage disequilibrium (LD) pattern and haplotype block structure of SNPs is ubiquitous component of population-based genetic studies. However, current tools suffered from the problem of time and memory consuming. Here, we developed...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Briefings in bioinformatics Ročník 22; číslo 4
Hlavní autoři: Dong, Shan-Shan, He, Wei-Ming, Ji, Jing-Jing, Zhang, Chi, Guo, Yan, Yang, Tie-Lin
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Oxford University Press 01.07.2021
Oxford Publishing Limited (England)
Témata:
ISSN:1467-5463, 1477-4054, 1477-4054
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Abstract The triangular correlation heatmap aiming to visualize the linkage disequilibrium (LD) pattern and haplotype block structure of SNPs is ubiquitous component of population-based genetic studies. However, current tools suffered from the problem of time and memory consuming. Here, we developed LDBlockShow, an open source software, for visualizing LD and haplotype blocks from variant call format files. It is time and memory saving. In a test dataset with 100 SNPs from 60 000 subjects, it was at least 10.60 times faster and used only 0.03–13.33% of physical memory as compared with other tools. In addition, it could generate figures that simultaneously display additional statistical context (e.g. association P-values) and genomic region annotations. It can also compress the SVG files with a large number of SNPs and support subgroup analysis. This fast and convenient tool will facilitate the visualization of LD and haplotype blocks for geneticists.
AbstractList Abstract The triangular correlation heatmap aiming to visualize the linkage disequilibrium (LD) pattern and haplotype block structure of SNPs is ubiquitous component of population-based genetic studies. However, current tools suffered from the problem of time and memory consuming. Here, we developed LDBlockShow, an open source software, for visualizing LD and haplotype blocks from variant call format files. It is time and memory saving. In a test dataset with 100 SNPs from 60 000 subjects, it was at least 10.60 times faster and used only 0.03–13.33% of physical memory as compared with other tools. In addition, it could generate figures that simultaneously display additional statistical context (e.g. association P-values) and genomic region annotations. It can also compress the SVG files with a large number of SNPs and support subgroup analysis. This fast and convenient tool will facilitate the visualization of LD and haplotype blocks for geneticists.
The triangular correlation heatmap aiming to visualize the linkage disequilibrium (LD) pattern and haplotype block structure of SNPs is ubiquitous component of population-based genetic studies. However, current tools suffered from the problem of time and memory consuming. Here, we developed LDBlockShow, an open source software, for visualizing LD and haplotype blocks from variant call format files. It is time and memory saving. In a test dataset with 100 SNPs from 60 000 subjects, it was at least 10.60 times faster and used only 0.03–13.33% of physical memory as compared with other tools. In addition, it could generate figures that simultaneously display additional statistical context (e.g. association P-values) and genomic region annotations. It can also compress the SVG files with a large number of SNPs and support subgroup analysis. This fast and convenient tool will facilitate the visualization of LD and haplotype blocks for geneticists.
The triangular correlation heatmap aiming to visualize the linkage disequilibrium (LD) pattern and haplotype block structure of SNPs is ubiquitous component of population-based genetic studies. However, current tools suffered from the problem of time and memory consuming. Here, we developed LDBlockShow, an open source software, for visualizing LD and haplotype blocks from variant call format files. It is time and memory saving. In a test dataset with 100 SNPs from 60 000 subjects, it was at least 10.60 times faster and used only 0.03-13.33% of physical memory as compared with other tools. In addition, it could generate figures that simultaneously display additional statistical context (e.g. association P-values) and genomic region annotations. It can also compress the SVG files with a large number of SNPs and support subgroup analysis. This fast and convenient tool will facilitate the visualization of LD and haplotype blocks for geneticists.The triangular correlation heatmap aiming to visualize the linkage disequilibrium (LD) pattern and haplotype block structure of SNPs is ubiquitous component of population-based genetic studies. However, current tools suffered from the problem of time and memory consuming. Here, we developed LDBlockShow, an open source software, for visualizing LD and haplotype blocks from variant call format files. It is time and memory saving. In a test dataset with 100 SNPs from 60 000 subjects, it was at least 10.60 times faster and used only 0.03-13.33% of physical memory as compared with other tools. In addition, it could generate figures that simultaneously display additional statistical context (e.g. association P-values) and genomic region annotations. It can also compress the SVG files with a large number of SNPs and support subgroup analysis. This fast and convenient tool will facilitate the visualization of LD and haplotype blocks for geneticists.
The triangular correlation heatmap aiming to visualize the linkage disequilibrium (LD) pattern and haplotype block structure of SNPs is ubiquitous component of population-based genetic studies. However, current tools suffered from the problem of time and memory consuming. Here, we developed LDBlockShow, an open source software, for visualizing LD and haplotype blocks from variant call format files. It is time and memory saving. In a test dataset with 100 SNPs from 60 000 subjects, it was at least 10.60 times faster and used only 0.03–13.33% of physical memory as compared with other tools. In addition, it could generate figures that simultaneously display additional statistical context (e.g. association P-values) and genomic region annotations. It can also compress the SVG files with a large number of SNPs and support subgroup analysis. This fast and convenient tool will facilitate the visualization of LD and haplotype blocks for geneticists.
Author Ji, Jing-Jing
Zhang, Chi
Guo, Yan
Yang, Tie-Lin
He, Wei-Ming
Dong, Shan-Shan
Author_xml – sequence: 1
  givenname: Shan-Shan
  surname: Dong
  fullname: Dong, Shan-Shan
  email: dongss@xjtu.edu.cn
– sequence: 2
  givenname: Wei-Ming
  orcidid: 0000-0003-0483-5390
  surname: He
  fullname: He, Wei-Ming
  email: hewm@genomics.cn
– sequence: 3
  givenname: Jing-Jing
  surname: Ji
  fullname: Ji, Jing-Jing
  email: jijingjing@genomics.cn
– sequence: 4
  givenname: Chi
  surname: Zhang
  fullname: Zhang, Chi
  email: zhangchi2@bgi.com
– sequence: 5
  givenname: Yan
  surname: Guo
  fullname: Guo, Yan
  email: guoyan253@xjtu.edu.cn
– sequence: 6
  givenname: Tie-Lin
  orcidid: 0000-0001-7062-3025
  surname: Yang
  fullname: Yang, Tie-Lin
  email: yangtielin@xjtu.edu.cn
BookMark eNp9kU1rFTEUhoNUsK2u_AMBQQQZm8-ZiTutn3DBhboezmRO2rS5yTTJXKk_wN_t3N6uCro6Z_G8D4fznpCjmCIS8pyzN5wZeTb68WwcAYToHpFjrrquUUyro_3edo1WrXxCTkq5YkywrufH5M_mw_uQ7PX3y_TrLQXqoFQKcaI2xR1Gj7HSmlKgLmW682WB4H_7eEGDj9dwgXTyBW8WH_yY_bK9i17CHFK9nZGOe3WhIxScaIp0B9nDarQQ7oxbqNT5gOUpeewgFHx2P0_Jz08ff5x_aTbfPn89f7dprDS8NlJIgWCs7q1gTikzCdTOcGOwhR5b53o9ufUVHbJeGYnIpW6B227qUAouT8mrg3fO6WbBUoetLxZDgIhpKYNQulVccC1X9MUD9CotOa7XDUIbxpTspVmp1wfK5lRKRjfM2W8h3w6cDftOhrWT4b6TleYPaOsrVJ9izeDDPzIvD5m0zP-V_wWc8qF7
CitedBy_id crossref_primary_10_1093_nar_gkad913
crossref_primary_10_1002_advs_202400445
crossref_primary_10_1007_s11032_023_01380_6
crossref_primary_10_3390_genes15101249
crossref_primary_10_1016_j_cpb_2024_100326
crossref_primary_10_1093_bib_bbaf291
crossref_primary_10_1016_j_cub_2024_07_022
crossref_primary_10_3389_fgene_2024_1505197
crossref_primary_10_1093_hr_uhaf144
crossref_primary_10_1186_s12915_023_01591_5
crossref_primary_10_1093_jamia_ocae161
crossref_primary_10_1016_j_aqrep_2025_102825
crossref_primary_10_1038_s41467_024_52933_y
crossref_primary_10_1093_hr_uhae299
crossref_primary_10_1016_j_plaphy_2022_07_023
crossref_primary_10_1007_s12672_025_01980_y
crossref_primary_10_1038_s41598_024_79273_7
crossref_primary_10_1186_s12870_022_03770_y
crossref_primary_10_1186_s12915_025_02265_0
crossref_primary_10_3389_fpls_2023_1170641
crossref_primary_10_1093_nar_gkac954
crossref_primary_10_1007_s11032_023_01414_z
crossref_primary_10_1186_s12864_024_10543_4
crossref_primary_10_3390_genes15020172
crossref_primary_10_1016_j_aquaculture_2024_740913
crossref_primary_10_1038_s41598_024_76568_7
crossref_primary_10_3389_fpls_2022_1010654
crossref_primary_10_1007_s00122_025_04980_2
crossref_primary_10_3390_ijms24065581
crossref_primary_10_3389_fpls_2023_1268706
crossref_primary_10_1007_s00122_022_04045_8
crossref_primary_10_3389_fpls_2022_887239
crossref_primary_10_3389_fgene_2023_1001352
crossref_primary_10_1111_pbi_70107
crossref_primary_10_3389_fpls_2023_1107718
crossref_primary_10_3390_plants12162970
crossref_primary_10_3390_genes14030662
crossref_primary_10_1007_s00122_025_04821_2
crossref_primary_10_1007_s10681_022_03113_w
crossref_primary_10_1007_s00122_024_04597_x
crossref_primary_10_1038_s41467_024_45377_x
crossref_primary_10_3390_ijms25094667
crossref_primary_10_1111_nph_19744
crossref_primary_10_1016_j_psj_2025_105255
crossref_primary_10_1016_j_jgg_2023_02_007
crossref_primary_10_1016_j_jplph_2022_153854
crossref_primary_10_1093_hr_uhad182
crossref_primary_10_1016_j_molp_2024_11_013
crossref_primary_10_1186_s13765_025_00981_3
crossref_primary_10_1038_s41598_023_44705_3
crossref_primary_10_1111_age_13285
crossref_primary_10_1111_pce_15618
crossref_primary_10_1016_j_cub_2021_11_052
crossref_primary_10_1016_j_jia_2025_05_009
crossref_primary_10_1002_advs_202506492
crossref_primary_10_3390_agronomy15030688
crossref_primary_10_3389_fpls_2022_929197
crossref_primary_10_1111_pbr_70011
crossref_primary_10_1038_s42003_023_05234_x
crossref_primary_10_1111_tpj_16872
crossref_primary_10_1093_molbev_msae235
crossref_primary_10_3389_fpls_2022_829668
crossref_primary_10_7717_peerj_18278
crossref_primary_10_1038_s41467_022_35063_1
crossref_primary_10_1186_s13059_023_02932_x
crossref_primary_10_3390_ijms252010889
crossref_primary_10_1016_j_hpj_2024_09_003
crossref_primary_10_1007_s00438_024_02204_8
crossref_primary_10_1016_j_ijbiomac_2025_141901
crossref_primary_10_1016_j_ebiom_2025_105591
crossref_primary_10_1093_hr_uhae141
crossref_primary_10_3389_fvets_2024_1520155
crossref_primary_10_3390_agriculture12030392
crossref_primary_10_1038_s10038_021_01009_6
crossref_primary_10_1093_hr_uhaf112
crossref_primary_10_1111_jipb_70002
crossref_primary_10_1007_s00122_025_04977_x
crossref_primary_10_1186_s12864_021_07391_x
crossref_primary_10_3389_fpls_2022_1025951
crossref_primary_10_3390_agriculture14040603
crossref_primary_10_1016_j_animal_2022_100591
crossref_primary_10_1093_molbev_msae028
crossref_primary_10_1186_s12284_024_00718_8
crossref_primary_10_3390_agronomy13122945
crossref_primary_10_3390_ijms24021055
crossref_primary_10_1111_tpj_17254
crossref_primary_10_1007_s00299_024_03221_y
crossref_primary_10_1002_imt2_250
crossref_primary_10_1111_pbi_14278
crossref_primary_10_1038_s41588_025_02170_w
crossref_primary_10_1111_tpj_15995
crossref_primary_10_1186_s13059_024_03470_w
crossref_primary_10_1093_jxb_eraf124
crossref_primary_10_1007_s11427_023_2694_5
crossref_primary_10_1038_s41467_022_33320_x
crossref_primary_10_3390_plants12020303
crossref_primary_10_1038_s41467_025_61683_4
crossref_primary_10_1016_j_celrep_2025_115697
crossref_primary_10_3390_ani14233495
crossref_primary_10_1111_jipb_13968
crossref_primary_10_3390_ijms25053028
crossref_primary_10_3168_jds_2023_23650
crossref_primary_10_1128_spectrum_05257_22
crossref_primary_10_1128_mbio_03256_24
crossref_primary_10_1016_j_aquaculture_2024_741658
crossref_primary_10_1016_j_plantsci_2023_111624
crossref_primary_10_1016_j_fsigen_2024_103066
crossref_primary_10_1186_s12864_024_10568_9
crossref_primary_10_1186_s12864_024_11109_0
crossref_primary_10_1007_s00122_025_04930_y
crossref_primary_10_1007_s00122_025_04976_y
crossref_primary_10_1016_j_aquaculture_2024_741893
crossref_primary_10_1038_s41586_023_05791_5
crossref_primary_10_1186_s12862_024_02320_4
crossref_primary_10_1038_s41598_025_94250_4
crossref_primary_10_1093_gpbjnl_qzae080
crossref_primary_10_1111_tpj_15731
crossref_primary_10_3389_fpls_2025_1624954
crossref_primary_10_1093_hr_uhae070
crossref_primary_10_1186_s12870_022_03824_1
crossref_primary_10_1002_tpg2_20528
crossref_primary_10_1007_s44154_025_00232_x
crossref_primary_10_1186_s12870_024_04937_5
crossref_primary_10_3389_fgene_2022_867231
crossref_primary_10_3389_fpls_2023_1184416
crossref_primary_10_1016_j_scitotenv_2023_165746
crossref_primary_10_1038_s41467_024_46754_2
crossref_primary_10_3390_ani15030447
crossref_primary_10_1270_jsbbs_23082
crossref_primary_10_1186_s12864_024_10401_3
crossref_primary_10_3390_plants12071557
crossref_primary_10_1002_imo2_70027
crossref_primary_10_1016_j_animal_2025_101654
crossref_primary_10_3390_plants13152112
crossref_primary_10_1016_j_ajhg_2024_06_007
crossref_primary_10_1007_s11032_024_01520_6
crossref_primary_10_1186_s13059_023_02995_w
crossref_primary_10_1007_s00122_024_04772_0
crossref_primary_10_1016_j_molp_2024_04_013
crossref_primary_10_1093_molbev_msae034
crossref_primary_10_1002_advs_202502662
crossref_primary_10_3390_cancers15205028
crossref_primary_10_1016_j_psj_2024_104632
crossref_primary_10_1016_j_aquaculture_2022_738472
crossref_primary_10_1002_tpg2_20518
crossref_primary_10_1016_j_aquaculture_2023_739610
crossref_primary_10_1186_s12864_023_09522_y
crossref_primary_10_1016_j_cj_2025_07_002
crossref_primary_10_1111_pce_15275
crossref_primary_10_3389_fpls_2021_772177
crossref_primary_10_1007_s00299_024_03172_4
crossref_primary_10_1016_j_jgg_2024_03_015
crossref_primary_10_1093_jhered_esac004
crossref_primary_10_3390_ijms25020830
crossref_primary_10_3389_fpls_2022_923734
crossref_primary_10_3390_ani14162349
crossref_primary_10_3390_ani13091470
crossref_primary_10_1038_s41467_025_62693_y
crossref_primary_10_1111_tpj_70446
crossref_primary_10_1007_s00122_022_04158_0
crossref_primary_10_1016_j_ijbiomac_2024_131796
crossref_primary_10_1093_jxb_erae079
crossref_primary_10_1016_j_chom_2024_07_014
crossref_primary_10_3389_fpls_2021_745411
crossref_primary_10_1186_s12864_021_07668_1
crossref_primary_10_1007_s00425_023_04294_x
crossref_primary_10_1038_s41590_024_01944_4
crossref_primary_10_1016_j_aquaculture_2024_740777
crossref_primary_10_1016_j_aquaculture_2025_742310
crossref_primary_10_3390_ani15091301
crossref_primary_10_1016_j_ygeno_2025_111026
crossref_primary_10_3389_fpls_2022_994560
crossref_primary_10_1186_s12870_023_04553_9
crossref_primary_10_1093_g3journal_jkad154
crossref_primary_10_1093_hr_uhad009
crossref_primary_10_1186_s13007_025_01415_3
crossref_primary_10_3390_genes15030376
crossref_primary_10_1016_j_ygeno_2025_110990
crossref_primary_10_3389_fpls_2025_1551317
crossref_primary_10_3389_fgene_2021_758665
crossref_primary_10_1186_s12284_024_00700_4
crossref_primary_10_3390_ijms25052536
crossref_primary_10_1016_j_psj_2025_105326
crossref_primary_10_1002_pd_6645
crossref_primary_10_3390_ani14131891
crossref_primary_10_1186_s12967_022_03819_4
crossref_primary_10_1111_age_13471
crossref_primary_10_1007_s00122_024_04724_8
crossref_primary_10_7554_eLife_66873
crossref_primary_10_1007_s00122_023_04443_6
crossref_primary_10_1111_pbi_70187
crossref_primary_10_1186_s12870_025_07007_6
crossref_primary_10_1016_j_jia_2025_03_007
crossref_primary_10_3389_fpls_2022_1061196
crossref_primary_10_1016_j_hpj_2023_05_018
crossref_primary_10_1016_j_jia_2025_06_016
crossref_primary_10_1186_s12864_021_07897_4
crossref_primary_10_1093_g3journal_jkad174
crossref_primary_10_1007_s00122_025_04923_x
crossref_primary_10_1073_pnas_2319838121
crossref_primary_10_1002_advs_202415202
crossref_primary_10_1002_ajb2_70059
crossref_primary_10_1111_pce_14378
crossref_primary_10_1186_s12711_025_00978_y
crossref_primary_10_1038_s41588_025_02281_4
crossref_primary_10_1186_s40104_025_01245_2
crossref_primary_10_3390_ani12212911
crossref_primary_10_1111_acel_13654
crossref_primary_10_3389_fpls_2022_1102938
crossref_primary_10_3390_agronomy12040814
crossref_primary_10_3390_genes14122129
crossref_primary_10_1111_nph_70069
crossref_primary_10_1186_s12864_023_09943_9
crossref_primary_10_1007_s11103_023_01365_1
crossref_primary_10_1016_j_jia_2025_06_025
crossref_primary_10_1111_mec_16499
crossref_primary_10_1016_j_psj_2023_102488
crossref_primary_10_1038_s41467_023_36901_6
crossref_primary_10_1016_j_hpj_2024_07_012
crossref_primary_10_1186_s12284_022_00597_x
crossref_primary_10_1007_s10681_022_03132_7
crossref_primary_10_1111_pce_15117
crossref_primary_10_1371_journal_pgen_1011467
crossref_primary_10_3390_ani14243616
crossref_primary_10_1111_age_13211
crossref_primary_10_1186_s12864_025_11618_6
crossref_primary_10_3389_fpls_2024_1369650
crossref_primary_10_1016_j_aquaculture_2024_742043
crossref_primary_10_1016_j_scienta_2023_112406
crossref_primary_10_1016_j_isci_2025_112870
crossref_primary_10_1111_nph_70492
crossref_primary_10_3390_genes15030327
crossref_primary_10_3389_fgene_2024_1431043
crossref_primary_10_1016_j_cj_2024_02_004
crossref_primary_10_1007_s00122_025_04929_5
crossref_primary_10_1007_s11032_023_01411_2
crossref_primary_10_1038_s42003_025_08700_w
crossref_primary_10_1007_s00122_025_05020_9
crossref_primary_10_1016_j_aquaculture_2024_741025
crossref_primary_10_1016_j_jia_2025_04_031
crossref_primary_10_1111_pce_15322
crossref_primary_10_1101_gr_276550_122
crossref_primary_10_1016_j_isci_2024_110976
crossref_primary_10_1093_jas_skad084
crossref_primary_10_1186_s12862_023_02122_0
crossref_primary_10_3390_ani14010005
crossref_primary_10_1016_j_fbio_2024_103942
crossref_primary_10_1111_tpj_70113
crossref_primary_10_1186_s12284_021_00495_8
crossref_primary_10_3390_agronomy15092047
crossref_primary_10_1002_advs_202503258
crossref_primary_10_3390_ijms25179384
crossref_primary_10_1016_j_psj_2024_103613
crossref_primary_10_1038_s41467_023_41669_w
crossref_primary_10_3724_abbs_2025013
crossref_primary_10_1016_j_indcrop_2023_116239
crossref_primary_10_1186_s12864_022_09077_4
crossref_primary_10_1371_journal_pgen_1010513
crossref_primary_10_1016_j_aquaculture_2024_741930
crossref_primary_10_5713_ab_25_0070
crossref_primary_10_3390_ijms26051834
crossref_primary_10_3389_fgene_2025_1580806
crossref_primary_10_3389_fpls_2023_1229457
crossref_primary_10_3389_fgene_2022_833503
crossref_primary_10_1016_j_psj_2025_105732
crossref_primary_10_1016_j_rsci_2025_06_002
crossref_primary_10_1016_j_pld_2024_07_009
crossref_primary_10_1186_s12870_023_04646_5
crossref_primary_10_3390_cancers15092650
crossref_primary_10_1007_s00122_024_04716_8
crossref_primary_10_1007_s11103_024_01421_4
crossref_primary_10_1093_hr_uhad021
crossref_primary_10_1007_s11103_025_01622_5
crossref_primary_10_1016_j_psj_2025_105739
crossref_primary_10_1016_j_aquaculture_2024_742018
crossref_primary_10_3389_fpls_2022_847789
crossref_primary_10_1093_nar_gkae1031
crossref_primary_10_1128_jvi_01693_21
crossref_primary_10_3390_agriculture12101588
crossref_primary_10_3390_ani13233628
crossref_primary_10_1186_s12864_024_11130_3
crossref_primary_10_3390_cimb47020092
crossref_primary_10_1007_s00122_024_04814_7
crossref_primary_10_1038_s41588_025_02306_y
crossref_primary_10_1007_s00122_024_04607_y
crossref_primary_10_1109_TCBB_2023_3291134
crossref_primary_10_1186_s12864_024_10396_x
crossref_primary_10_1111_tpj_16432
crossref_primary_10_1038_s41439_021_00135_z
crossref_primary_10_3390_genes14071308
crossref_primary_10_1002_tpg2_70005
crossref_primary_10_3390_ijms26010079
crossref_primary_10_1111_nph_70265
crossref_primary_10_3390_genes16080909
crossref_primary_10_3390_ijms251910752
crossref_primary_10_1007_s00122_025_05011_w
crossref_primary_10_1007_s00122_025_04868_1
crossref_primary_10_1016_j_xplc_2025_101293
crossref_primary_10_1186_s12284_025_00782_8
crossref_primary_10_1016_j_jia_2023_06_030
crossref_primary_10_1093_hr_uhae349
crossref_primary_10_1007_s11032_023_01422_z
crossref_primary_10_1111_age_13379
crossref_primary_10_1016_j_fsi_2025_110663
crossref_primary_10_1038_s42003_023_04514_w
crossref_primary_10_1111_age_13138
crossref_primary_10_3389_fpls_2024_1467927
crossref_primary_10_1093_aob_mcaf153
Cites_doi 10.1093/bioinformatics/btz308
10.1038/s41467-019-09806-6
10.1093/bioinformatics/btr330
10.1016/j.ajhg.2018.03.001
10.1007/BF01245622
10.1093/bioinformatics/bth457
10.1093/genetics/49.1.49
10.1126/science.1069424
10.1186/s13742-015-0047-8
10.1038/s41586-020-2308-7
ContentType Journal Article
Copyright The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2020
The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com
The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
Copyright_xml – notice: The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2020
– notice: The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com
– notice: The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.
DBID AAYXX
CITATION
7QO
7SC
8FD
FR3
JQ2
K9.
L7M
L~C
L~D
P64
RC3
7X8
DOI 10.1093/bib/bbaa227
DatabaseName CrossRef
Biotechnology Research Abstracts
Computer and Information Systems Abstracts
Technology Research Database
Engineering Research Database
ProQuest Computer Science Collection
ProQuest Health & Medical Complete (Alumni)
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Biotechnology and BioEngineering Abstracts
Genetics Abstracts
MEDLINE - Academic
DatabaseTitle CrossRef
Genetics Abstracts
Biotechnology Research Abstracts
Technology Research Database
Computer and Information Systems Abstracts – Academic
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
ProQuest Health & Medical Complete (Alumni)
Engineering Research Database
Advanced Technologies Database with Aerospace
Biotechnology and BioEngineering Abstracts
Computer and Information Systems Abstracts Professional
MEDLINE - Academic
DatabaseTitleList
Genetics Abstracts
MEDLINE - Academic
CrossRef
Database_xml – sequence: 1
  dbid: 7X8
  name: MEDLINE - Academic
  url: https://search.proquest.com/medline
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Biology
EISSN 1477-4054
ExternalDocumentID 10_1093_bib_bbaa227
10.1093/bib/bbaa227
GroupedDBID ---
-E4
.2P
.I3
0R~
1TH
23N
2WC
36B
4.4
48X
53G
5GY
5VS
6J9
70D
8VB
AAHBH
AAIJN
AAIMJ
AAJKP
AAJQQ
AAMDB
AAMVS
AAOGV
AAPQZ
AAPXW
AARHZ
AASNB
AAUQX
AAVAP
AAVLN
ABDBF
ABEUO
ABIXL
ABJNI
ABNKS
ABPTD
ABQLI
ABQTQ
ABWST
ABXVV
ABZBJ
ACGFO
ACGFS
ACGOD
ACIWK
ACPRK
ACUFI
ACYTK
ADBBV
ADEYI
ADFTL
ADGKP
ADGZP
ADHKW
ADHZD
ADOCK
ADPDF
ADQBN
ADRDM
ADRIX
ADRTK
ADVEK
ADYVW
ADZTZ
ADZXQ
AECKG
AEGPL
AEGXH
AEJOX
AEKKA
AEKSI
AELWJ
AEMDU
AEMOZ
AENEX
AENZO
AEPUE
AETBJ
AEWNT
AFFZL
AFGWE
AFIYH
AFOFC
AFRAH
AFXEN
AGINJ
AGKEF
AGQXC
AGSYK
AHMBA
AHXPO
AIAGR
AIJHB
AJEEA
AJEUX
AKHUL
AKVCP
AKWXX
ALMA_UNASSIGNED_HOLDINGS
ALTZX
ALUQC
APIBT
APWMN
ARIXL
AXUDD
AYOIW
AZVOD
BAWUL
BAYMD
BCRHZ
BEYMZ
BHONS
BQDIO
BQUQU
BSWAC
BTQHN
C1A
C45
CAG
CDBKE
COF
CS3
CZ4
DAKXR
DIK
DILTD
DU5
D~K
E3Z
EAD
EAP
EAS
EBA
EBC
EBD
EBR
EBS
EBU
EE~
EJD
EMB
EMK
EMOBN
EST
ESX
F5P
F9B
FHSFR
FLIZI
FLUFQ
FOEOM
FQBLK
GAUVT
GJXCC
GX1
H13
H5~
HAR
HW0
HZ~
IOX
J21
K1G
KBUDW
KOP
KSI
KSN
M-Z
M49
MK~
ML0
N9A
NGC
NLBLG
NMDNZ
NOMLY
NU-
O0~
O9-
OAWHX
ODMLO
OJQWA
OK1
OVD
OVEED
P2P
PAFKI
PEELM
PQQKQ
Q1.
Q5Y
QWB
RD5
ROX
RPM
RUSNO
RW1
RXO
SV3
TEORI
TH9
TJP
TLC
TOX
TR2
TUS
W8F
WOQ
X7H
YAYTL
YKOAZ
YXANX
ZKX
ZL0
~91
77I
AAYXX
ABEJV
ABGNP
ABPQP
ABXZS
ACUHS
ACUXJ
AHGBF
AHQJS
ALXQX
AMNDL
ANAKG
CITATION
JXSIZ
7QO
7SC
8FD
FR3
JQ2
K9.
L7M
L~C
L~D
P64
RC3
7X8
ID FETCH-LOGICAL-c391t-3232ea9c58c20f449d2e5f9199e6a8e6ff85df1097e08493ee1356a1c7d7e3213
IEDL.DBID TOX
ISICitedReferencesCount 354
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000709466800010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1467-5463
1477-4054
IngestDate Thu Oct 02 06:10:50 EDT 2025
Sun Nov 30 05:18:28 EST 2025
Sat Nov 29 05:43:21 EST 2025
Tue Nov 18 21:03:46 EST 2025
Wed Aug 28 03:20:04 EDT 2024
IsPeerReviewed true
IsScholarly true
Issue 4
Keywords visualization
VCF files
haplotype block
linkage disequilibrium
Language English
License This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)
https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c391t-3232ea9c58c20f449d2e5f9199e6a8e6ff85df1097e08493ee1356a1c7d7e3213
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0003-0483-5390
0000-0001-7062-3025
PQID 2590043839
PQPubID 26846
ParticipantIDs proquest_miscellaneous_2456412153
proquest_journals_2590043839
crossref_primary_10_1093_bib_bbaa227
crossref_citationtrail_10_1093_bib_bbaa227
oup_primary_10_1093_bib_bbaa227
PublicationCentury 2000
PublicationDate 2021-07-01
PublicationDateYYYYMMDD 2021-07-01
PublicationDate_xml – month: 07
  year: 2021
  text: 2021-07-01
  day: 01
PublicationDecade 2020
PublicationPlace Oxford
PublicationPlace_xml – name: Oxford
PublicationTitle Briefings in bioinformatics
PublicationYear 2021
Publisher Oxford University Press
Oxford Publishing Limited (England)
Publisher_xml – name: Oxford University Press
– name: Oxford Publishing Limited (England)
References Chen (2021072112100887800_ref6) 2020
Chen (2021072112100887800_ref7) 2018; 102
Hill (2021072112100887800_ref11) 1968; 38
Lewontin (2021072112100887800_ref10) 1964; 49
Danecek (2021072112100887800_ref8) 2011; 27
Kim (2021072112100887800_ref4) 2019; 35
Kawabata (2021072112100887800_ref5) 2019
Kim (2021072112100887800_ref1) 2019; 10
Barrett (2021072112100887800_ref2) 2005; 21
Shin (2021072112100887800_ref3) 2006
Chang (2021072112100887800_ref9) 2015; 4
Gabriel (2021072112100887800_ref12) 2002; 296
Karczewski (2021072112100887800_ref13) 2020; 581
References_xml – volume: 35
  start-page: 4419
  year: 2019
  ident: 2021072112100887800_ref4
  article-title: Gpart: human genome partitioning and visualization of high-density SNP data by identifying haplotype blocks
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btz308
– volume: 10
  start-page: 1852
  year: 2019
  ident: 2021072112100887800_ref1
  article-title: Genetics and evidence for balancing selection of a sex-linked colour polymorphism in a songbird
  publication-title: Nat Commun
  doi: 10.1038/s41467-019-09806-6
– volume: 27
  start-page: 2156
  year: 2011
  ident: 2021072112100887800_ref8
  article-title: The variant call format and VCFtools
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btr330
– volume: 102
  start-page: 776
  year: 2018
  ident: 2021072112100887800_ref7
  article-title: An osteoporosis risk SNP at 1p36.12 acts as an allele-specific enhancer to modulate LINC00339 expression via long-range loop formation
  publication-title: Am J Hum Genet
  doi: 10.1016/j.ajhg.2018.03.001
– start-page: 525
  volume-title: Nat Genet
  year: 2020
  ident: 2021072112100887800_ref6
  article-title: Genomic diversifications of five Gossypium allopolyploid species and their impact on cotton improvement
– start-page: 9
  year: 2006
  ident: 2021072112100887800_ref3
  article-title: LDheatmap: an R function for graphical display of pairwise linkage disequilibria between single nucleotide polymorphisms
– volume: 38
  start-page: 226
  year: 1968
  ident: 2021072112100887800_ref11
  article-title: Linkage disequilibrium in finite populations
  publication-title: Theor Appl Genet
  doi: 10.1007/BF01245622
– volume: 21
  start-page: 263
  year: 2005
  ident: 2021072112100887800_ref2
  article-title: Haploview: analysis and visualization of LD and haplotype maps
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bth457
– start-page: 665
  volume-title: Diabetes
  year: 2019
  ident: 2021072112100887800_ref5
  article-title: Genome-wide association study confirming a strong effect of HLA and identifying variants in CSAD/lnc-ITGB7-1 on chromosome 12q13.13 associated with susceptibility to fulminant type 1 diabetes
– volume: 49
  start-page: 49
  year: 1964
  ident: 2021072112100887800_ref10
  article-title: The interaction of selection and linkage. I. General considerations; heterotic models
  publication-title: Genetics
  doi: 10.1093/genetics/49.1.49
– volume: 296
  start-page: 2225
  year: 2002
  ident: 2021072112100887800_ref12
  article-title: The structure of haplotype blocks in the human genome
  publication-title: Science
  doi: 10.1126/science.1069424
– volume: 4
  start-page: 7
  year: 2015
  ident: 2021072112100887800_ref9
  article-title: Second-generation PLINK: rising to the challenge of larger and richer datasets
  publication-title: Gigascience
  doi: 10.1186/s13742-015-0047-8
– volume: 581
  start-page: 434
  year: 2020
  ident: 2021072112100887800_ref13
  article-title: The mutational constraint spectrum quantified from variation in 141,456 humans
  publication-title: Nature
  doi: 10.1038/s41586-020-2308-7
SSID ssj0020781
Score 2.6891623
Snippet Abstract The triangular correlation heatmap aiming to visualize the linkage disequilibrium (LD) pattern and haplotype block structure of SNPs is ubiquitous...
The triangular correlation heatmap aiming to visualize the linkage disequilibrium (LD) pattern and haplotype block structure of SNPs is ubiquitous component of...
SourceID proquest
crossref
oup
SourceType Aggregation Database
Enrichment Source
Index Database
Publisher
SubjectTerms Annotations
Format
Haplotypes
Linkage disequilibrium
Population genetics
Population studies
Single-nucleotide polymorphism
Subgroups
Title LDBlockShow: a fast and convenient tool for visualizing linkage disequilibrium and haplotype blocks based on variant call format files
URI https://www.proquest.com/docview/2590043839
https://www.proquest.com/docview/2456412153
Volume 22
WOSCitedRecordID wos000709466800010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVASL
  databaseName: Open Access: Oxford University Press Open Journals
  customDbUrl:
  eissn: 1477-4054
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0020781
  issn: 1467-5463
  databaseCode: TOX
  dateStart: 20000101
  isFulltext: true
  titleUrlDefault: https://academic.oup.com/journals/
  providerName: Oxford University Press
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1La9wwEBbN0kAufSWh26bpFHIKmNiSH1JvfYUeQlrIg70ZPUZk6dZO194t7Q_o767G9i6khCZnz8hGn6QZeWa-YewgdllKrCaRdOijNDciMqmRUW6NDA6ITLHrGXl5UpyeyslEfR0SZJtbQvhKHJmpOTJGa86paDzoU6OC8y-T9b2K-Gr6IqIiInb3oQzvH90bhudGMdvq9O1MyvHj-37ME_ZocBrhXY_yU_YAq2dss28j-Wub_Tn5-D7YpG9nV_XPt6DB66YFXTnoU8qp4hHaup5BcFBhOW2ojvJ3MFlA0dtwngBFaX4spl36_-J7p3qlr2c1_Z8FQ0M3QObOQV3BMtyuAxwQwO1GDC4vELtTs8Mujj-df_gcDf0VIitU0kYieFOolc2k5bFPU-U4Zl4lSmGuJebey8x5ClFjLFMlEBOR5TqxhStQ8ETsslFVV_icAXKrucwCwFqlhUXltYudcJ4bU8QFjtnhavJLO5CPUw-MWdkHwUUZJrYcJnbMDtbC1z3nxu1irwOK_5fYWyFcDluzKTn1SSWCVjVmb9aPw6aiSImusF4EGSLZId4N8eLOl7xkW5zyXLoU3j02aucLfMUe2mU7beb7bKOYyP1uvf4Feq7pJw
linkProvider Oxford University Press
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=LDBlockShow%3A+a+fast+and+convenient+tool+for+visualizing+linkage+disequilibrium+and+haplotype+blocks+based+on+variant+call+format+files&rft.jtitle=Briefings+in+bioinformatics&rft.au=Dong%2C+Shan-Shan&rft.au=He%2C+Wei-Ming&rft.au=Ji%2C+Jing-Jing&rft.au=Zhang%2C+Chi&rft.date=2021-07-01&rft.pub=Oxford+University+Press&rft.issn=1467-5463&rft.eissn=1477-4054&rft.volume=22&rft.issue=4&rft_id=info:doi/10.1093%2Fbib%2Fbbaa227&rft.externalDocID=10.1093%2Fbib%2Fbbaa227
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1467-5463&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1467-5463&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1467-5463&client=summon