Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 701 to 800 (from 3,734) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 38  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*33:03-B*58:01-DRB1*11:01  Hong Kong Chinese cord blood registry 0.10153,892
 702  A*33:03-B*15:10  USA Hispanic pop 2 0.10101,999
 703  A*33:03-B*58:01-C*03:02-DRB1*08:03  Germany DKMS - China minority 0.10101,282
 704  A*33:03-B*15:17-C*04:01-DRB1*13:02  Italy pop 5 0.1000975
 705  A*33:03-B*39:01-C*12:03-DRB1*11:04  Italy pop 5 0.1000975
 706  A*33:03-B*44:03-C*14:03-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 707  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*01:03-DPB1*04:02  Japan pop 17 0.10003,078
 708  A*33:03-B*44:03-C*14:03-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPA1*02:01-DPB1*13:01  Japan pop 17 0.10003,078
 709  A*33:03-B*58:01-C*03:02-DRB1*03:01  Italy pop 5 0.1000975
 710  A*33:03-B*58:01-C*03:02-DRB1*07:01  Italy pop 5 0.1000975
 711  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPA1*02:02-DPB1*05:01  Japan pop 17 0.10003,078
 712  A*33:03-B*58:01-C*07:01-DRB1*13:02  Italy pop 5 0.1000975
 713  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.09931,510
 714  A*33:03-B*52:01-C*12:02-DRB1*15:02  Japan pop 16 0.099018,604
 715  A*33:03-B*58:01  USA Hispanic pop 2 0.09901,999
 716  A*33:03:01-B*44:03:01-C*14:03:01-DRB1*13:02:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09865,266
 717  A*33:03-B*51:01  USA African American pop 4 0.09802,411
 718  A*33:03:01-B*15:10:01-C*03:02:01-DRB1*15:01-DQB1*06:02  Costa Rica Central Valley Mestizo (G) 0.0979221
 719  A*33:03-B*40:01-DRB1*11:01  Hong Kong Chinese cord blood registry 0.09793,892
 720  A*33:03-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India Central UCBB 0.09774,204
 721  A*33:03-B*55:01-C*01:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.09732,492
 722  A*33:03-B*44:03-C*07:01-DRB1*15:02  Germany DKMS - Croatia minority 0.09702,057
 723  A*33:03-B*58:01-C*03:02-DRB1*03:01  Germany DKMS - Bosnia and Herzegovina minority 0.09701,028
 724  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India South UCBB 0.096811,446
 725  A*33:03-B*58:01-C*03:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.09632,492
 726  A*33:03:01-B*15:01:01-C*01:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 727  A*33:03:01-B*15:01:01-C*03:03:01  England Blood Donors of Mixed Ethnicity 0.0963519
 728  A*33:03:01-B*53:01:01-C*04:01:01  England Blood Donors of Mixed Ethnicity 0.0963519
 729  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:05  India Tamil Nadu 0.09492,492
 730  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*13:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09495,266
 731  A*33:03-B*35:03-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.09462,492
 732  A*33:03-B*53:01-C*06:02-DRB1*09:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 733  A*33:03-B*81:01-C*18:01-DRB1*11:01-DQB1*06:02  USA Hispanic pop 2 0.09401,999
 734  A*33:03-B*58:01-C*03:02-DRB1*14:04-DQB1*05:03  India East UCBB 0.09312,403
 735  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03  India West UCBB 0.09295,829
 736  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.092670,890
 737  A*33:03-B*44:03-C*07:06-DRB1*13:01-DQB1*06:03  India South UCBB 0.091311,446
 738  A*33:03-B*40:06-C*15:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.09055,829
 739  A*33:03-B*15:17-C*07:01  Italy pop 5 0.0900975
 740  A*33:03-B*35:08-C*04:01  Italy pop 5 0.0900975
 741  A*33:03-B*58:01-C*03:02-DRB1*12:01-DQB1*03:01  USA Asian pop 2 0.09001,772
 742  A*33:03-B*40:06-C*15:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.089711,446
 743  A*33:03-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 744  A*33:03-B*37:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 745  A*33:03-B*44:03-C*07:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.08901,772
 746  A*33:03-B*44:03-C*14:03-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 747  A*33:03-B*44:03-C*14:03-DRB1*15:02  Japan pop 16 0.089018,604
 748  A*33:03-B*48:04-C*08:01-DRB1*12:02-DQB1*03:01  USA Asian pop 2 0.08901,772
 749  A*33:03-B*58:01-C*03:02-DRB1*15:01-DQB1*06:02  USA Asian pop 2 0.08901,772
 750  A*33:03-B*35:01-C*04:01-DRB1*15:02-DQB1*06:01  India West UCBB 0.08835,829
 751  A*33:03-B*44:03  USA African American pop 4 0.08802,411
 752  A*33:03-B*53:01-C*04:01-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.08802,411
 753  A*33:03-B*15:10-C*03:04-DRB1*08:04-DQB1*03:01  USA African American pop 4 0.08702,411
 754  A*33:03-B*15:10-C*03:04-DRB1*08:04-DQB1*05:02  USA African American pop 4 0.08702,411
 755  A*33:03-B*15:16-C*14:02-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.08702,411
 756  A*33:03-B*15:16-C*14:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.08702,411
 757  A*33:03-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.08702,411
 758  A*33:03-B*53:01-C*04:13-DRB1*01:02-DQB1*05:01  USA African American pop 4 0.08702,411
 759  A*33:03-B*58:01-C*03:02-DRB1*13:04-DQB1*03:01  USA African American pop 4 0.08702,411
 760  A*33:03-B*58:02-C*06:02-DRB1*12:01-DQB1*05:01  USA African American pop 4 0.08702,411
 761  A*33:03-B*44:03-C*07:06-DRB1*04:03-DQB1*03:02  India Central UCBB 0.08694,204
 762  A*33:03:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 763  A*33:03:01-B*51:01:01-C*07:02:01-DRB1*04:03:01-DQB1*03:05:01  China Zhejiang Han 0.08651,734
 764  A*33:03:01-B*57:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  China Zhejiang Han 0.08651,734
 765  A*33:03-B*14:01-C*08:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 766  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQB1*06:09  Germany DKMS - Italy minority 0.08601,159
 767  A*33:03-B*58:01-C*03:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.08592,403
 768  A*33:03-B*58:01-C*03:02-DRB1*01:01  Hong Kong Chinese BMDR 0.08567,595
 769  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*11:01:01-DQB1*03:01:01  China Zhejiang Han 0.08541,734
 770  A*33:03-B*14:02  USA Hispanic pop 2 0.08501,999
 771  A*33:03-B*14:02-C*08:02-DRB1*11:01  Germany DKMS - Portugal minority 0.08501,176
 772  A*33:03-B*35:08-C*04:01-DRB1*13:03  Germany DKMS - Portugal minority 0.08501,176
 773  A*33:03-B*37:01  USA Asian pop 2 0.08501,772
 774  A*33:03-B*58:01-C*03:02-DRB1*03:01  Germany DKMS - Portugal minority 0.08501,176
 775  A*33:03-B*58:01-C*03:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.085011,446
 776  A*33:03-B*44:03-C*07:01-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.08492,492
 777  A*33:03-B*44:03-C*07:06-DRB1*15:01-DQB1*06:01  India West UCBB 0.08475,829
 778  A*33:03-B*44:03-C*07:06-DRB1*15:02-DQB1*06:01  India South UCBB 0.084711,446
 779  A*33:03-B*18:01  USA African American pop 4 0.08402,411
 780  A*33:03-B*57:01  USA Asian pop 2 0.08401,772
 781  A*33:03-B*58:01-C*03:02-DRB1*15:06-DQB1*05:02  India Central UCBB 0.08384,204
 782  A*33:03-B*58:01-C*03:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.08342,403
 783  A*33:03-B*40:01-DRB1*04:05  Hong Kong Chinese cord blood registry 0.08303,892
 784  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*04:05:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.08285,266
 785  A*33:03-B*52:01-C*12:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.08244,204
 786  A*33:03-B*58:01-C*03:02-DRB1*11:01  Hong Kong Chinese BMDR 0.08207,595
 787  A*33:03-B*07:02-C*07:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.08195,829
 788  A*33:03:01-B*15:10:01-C*03:02:01-DRB1*15:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0810221
 789  A*33:03-B*15:16  USA Hispanic pop 2 0.08101,999
 790  A*33:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.08101,463
 791  A*33:03-B*37:01-C*06:02-DRB1*10:01-DQB1*05:01  India West UCBB 0.08095,829
 792  A*33:03-B*58:01-C*03:02-DRB1*15:02  Hong Kong Chinese BMDR 0.08087,595
 793  A*33:03-B*58:01-DRB1*16:02  Hong Kong Chinese cord blood registry 0.08013,892
 794  A*33:03-B*48:01  USA Asian pop 2 0.08001,772
 795  A*33:03-C*07:01  Italy pop 5 0.0800975
 796  A*33:03-C*12:03  Italy pop 5 0.0800975
 797  A*33:03-B*58:01-C*03:02-DRB1*13:02  Poland DKMS 0.079620,653
 798  A*33:03-B*58:01-C*03:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.07935,829
 799  A*33:03-B*35:08-C*04:01-DRB1*13:03  Germany DKMS - Greece minority 0.07901,894
 800  A*33:03-B*46:01-C*01:02-DRB1*09:01  Germany DKMS - China minority 0.07901,282

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 701 to 800 (from 3,734) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 38  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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