Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 701 to 800 (from 2,028) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 701  A*32:01-B*15:29-C*07:04-DRB1*11:04-DQB1*03:01  India North UCBB 0.04045,849
 702  A*24:02-B*15:18-C*07:04-DRB1*04:01  Hong Kong Chinese BMDR 0.04027,595
 703  A*03:01-B*15:18-C*07:04-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.04012,492
 704  A*03:02-B*40:06-C*07:04-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04012,492
 705  A*02:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01-DPB1*02:01  Germany DKMS - German donors 0.03933,456,066
 706  A*68:01-B*15:18-C*07:04-DRB1*08:02-DQB1*03:01  India Tamil Nadu 0.03902,492
 707  A*01:01-B*15:18-C*07:04-DRB1*01:01  Germany DKMS - China minority 0.03901,282
 708  A*02:01-B*15:18-C*07:04-DRB1*08:03  Germany DKMS - China minority 0.03901,282
 709  A*02:03-B*15:18-C*07:04-DRB1*04:01  Germany DKMS - China minority 0.03901,282
 710  A*02:06-B*15:18-C*07:04-DRB1*04:03  Germany DKMS - China minority 0.03901,282
 711  A*11:01-B*15:18-C*07:04-DRB1*09:01  Germany DKMS - China minority 0.03901,282
 712  A*24:10-B*15:02-C*07:04-DRB1*09:01  Germany DKMS - China minority 0.03901,282
 713  A*31:01-B*15:18-C*07:04-DRB1*04:03  Germany DKMS - China minority 0.03901,282
 714  A*31:01-B*15:18-C*07:04-DRB1*15:01  Germany DKMS - China minority 0.03901,282
 715  A*68:01-B*44:02-C*07:04-DRB1*11:01  Germany DKMS - China minority 0.03901,282
 716  A*68:01-B*44:02-C*07:04-DRB1*15:01  Germany DKMS - France minority 0.03801,406
 717  A*02:01-B*15:18-C*07:04-DRB1*04:03  Japan pop 16 0.037018,604
 718  A*03:01-B*15:18-C*07:04-DRB1*13:01  Germany DKMS - France minority 0.03701,406
 719  A*11:01-B*07:02-C*07:04-DRB1*15:01  Germany DKMS - Netherlands minority 0.03701,374
 720  A*68:01-B*44:02-C*07:04-DRB1*13:02  Germany DKMS - Netherlands minority 0.03701,374
 721  A*01:01-B*15:09-C*07:04-DRB1*13:02  Germany DKMS - France minority 0.03601,406
 722  A*02:01-B*15:01-C*07:04-DRB1*04:02  Germany DKMS - France minority 0.03601,406
 723  A*02:01-B*15:01-C*07:04-DRB1*13:01  Germany DKMS - France minority 0.03601,406
 724  A*02:01-B*44:02-C*07:04-DRB1*04:03  Germany DKMS - Netherlands minority 0.03601,374
 725  A*02:01-B*44:02-C*07:04-DRB1*04:08  Germany DKMS - Netherlands minority 0.03601,374
 726  A*02:01-B*44:02-C*07:04-DRB1*12:01  Germany DKMS - Netherlands minority 0.03601,374
 727  A*02:01-B*44:02-C*07:04-DRB1*16:01  Germany DKMS - Netherlands minority 0.03601,374
 728  A*02:06-B*15:09-C*07:04-DRB1*16:02  Germany DKMS - Netherlands minority 0.03601,374
 729  A*02:35-B*44:02-C*07:04-DRB1*15:01  Germany DKMS - Netherlands minority 0.03601,374
 730  A*03:01-B*15:01-C*07:04-DRB1*04:04  Germany DKMS - France minority 0.03601,406
 731  A*03:01-B*15:01-C*07:04-DRB1*16:01  Germany DKMS - France minority 0.03601,406
 732  A*03:01-B*15:18-C*07:04-DRB1*07:01  Germany DKMS - Netherlands minority 0.03601,374
 733  A*11:01-B*15:09-C*07:04-DRB1*11:01  Germany DKMS - Netherlands minority 0.03601,374
 734  A*24:02-B*14:02-C*07:04-DRB1*01:02  Germany DKMS - France minority 0.03601,406
 735  A*24:02-B*15:09-C*07:04-DRB1*11:03  Germany DKMS - France minority 0.03601,406
 736  A*24:02-B*15:18-C*07:04-DRB1*03:01-DQB1*02:01  India Central UCBB 0.03604,204
 737  A*24:02-B*44:02-C*07:04-DRB1*11:03  Germany DKMS - Netherlands minority 0.03601,374
 738  A*25:01-B*15:18-C*07:04-DRB1*08:01  Germany DKMS - France minority 0.03601,406
 739  A*26:01-B*44:02-C*07:04-DRB1*01:01  Germany DKMS - Netherlands minority 0.03601,374
 740  A*29:02-B*15:18-C*07:04-DRB1*13:01  Germany DKMS - France minority 0.03601,406
 741  A*30:01-B*35:01-C*07:04-DRB1*08:04  Germany DKMS - France minority 0.03601,406
 742  A*31:01-B*44:02-C*07:04-DRB1*13:01  Germany DKMS - France minority 0.03601,406
 743  A*31:01-B*44:02-C*07:04-DRB1*15:01  Germany DKMS - Netherlands minority 0.03601,374
 744  A*32:01-B*15:18-C*07:04-DRB1*01:01  Germany DKMS - France minority 0.03601,406
 745  A*68:01-B*15:01-C*07:04-DRB1*01:01  Germany DKMS - France minority 0.03601,406
 746  A*68:01-B*15:01-C*07:04-DRB1*01:01  Germany DKMS - Netherlands minority 0.03601,374
 747  A*68:01-B*15:18-C*07:04-DRB1*13:01  Germany DKMS - Netherlands minority 0.03601,374
 748  A*68:01-B*15:18-C*07:04-DRB1*16:02  Germany DKMS - Netherlands minority 0.03601,374
 749  A*68:01-B*27:05-C*07:04-DRB1*15:01  Germany DKMS - Netherlands minority 0.03601,374
 750  A*68:01-B*44:02-C*07:04-DRB1*07:01  Germany DKMS - France minority 0.03601,406
 751  A*68:01-B*15:18-C*07:04-DRB1*04:03-DQB1*03:02  India West UCBB 0.03585,829
 752  A*11:01:01-B*15:18:01-C*07:04:01-DRB1*04:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03575,266
 753  A*68:01-B*15:18-C*07:04-DRB1*11:04-DQB1*03:01  India Central UCBB 0.03574,204
 754  A*68:01-B*15:18-C*07:04-DRB1*15:02-DQB1*05:03  India Central UCBB 0.03574,204
 755  A*03:01:01-B*44:02:01-C*07:04:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.035623,595
 756  A*01:01-B*15:18-C*07:04-DRB1*15:01-DQB1*06:01  India South UCBB 0.035611,446
 757  A*11:01-B*44:02-C*07:04-DRB1*15:01  Germany DKMS - Croatia minority 0.03502,057
 758  A*11:01-B*15:18-C*07:04-DRB1*15:02-DQB1*06:01  India North UCBB 0.03485,849
 759  A*68:01-B*15:18-C*07:04-DRB1*10:01-DQB1*05:01  India Central UCBB 0.03444,204
 760  A*24:02:01-B*44:27:01-C*07:04:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.034423,595
 761  A*02:01-B*44:02-C*07:04-DRB1*14:01  Poland DKMS 0.034320,653
 762  A*24:07-B*15:18-C*07:04-DRB1*04:01-DQB1*03:02  India West UCBB 0.03435,829
 763  A*68:01-B*18:01-C*07:04-DRB1*15:02-DQB1*06:01  India West UCBB 0.03435,829
 764  A*02:01-B*15:18-C*07:04-DRB1*04:05-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 765  A*02:01-B*44:02-C*07:04-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 766  A*02:05-B*14:02-C*07:04-DRB1*13:02-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 767  A*24:02-B*15:03-C*07:04-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 768  A*24:02-B*44:02-C*07:04-DRB1*16:01-DQB1*05:02  Colombia Bogotá Cord Blood 0.03421,463
 769  A*25:01-B*49:01-C*07:04-DRB1*13:02-DQB1*06:09  Colombia Bogotá Cord Blood 0.03421,463
 770  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Colombia Bogotá Cord Blood 0.03421,463
 771  A*68:01-B*15:18-C*07:04-DRB1*11:01-DQB1*03:01  India North UCBB 0.03415,849
 772  A*68:01-B*44:02-C*07:04-DRB1*01:01  Poland DKMS 0.034120,653
 773  A*01:01-B*07:02-C*07:04-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 774  A*02:01-B*15:18-C*07:04-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 775  A*02:01-B*15:18-C*07:04-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 776  A*02:05-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 777  A*03:01-B*15:01-C*07:04-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 778  A*03:01-B*15:01-C*07:04-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 779  A*03:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 780  A*03:01-B*44:27-C*07:04-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 781  A*11:01-B*15:09-C*07:04-DRB1*10:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 782  A*11:01-B*15:18-C*07:04-DRB1*15:01-DQB1*06:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 783  A*24:02-B*44:02-C*07:04-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 784  A*24:02-B*44:27-C*07:04-DRB1*16:01-DQB1*05:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 785  A*25:01-B*44:02-C*07:04-DRB1*07:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 786  A*29:02-B*15:18-C*07:04-DRB1*04:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 787  A*29:02-B*15:18-C*07:04-DRB1*04:01-DQB1*03:05  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 788  A*30:02-B*15:18-C*07:04-DRB1*11:03-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 789  A*31:01-B*15:18-C*07:04-DRB1*04:02-DQB1*03:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 790  A*32:01-B*15:18-C*07:04-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 791  A*68:01-B*44:02-C*07:04-DRB1*04:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 792  A*68:01-B*44:02-C*07:04-DRB1*11:01-DQB1*03:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 793  A*32:01-B*15:29-C*07:04-DRB1*07:01-DQB1*03:03  India North UCBB 0.03355,849
 794  A*03:01:01:01-B*44:02:01:03-C*07:04:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03331,510
 795  A*68:01-B*15:18-C*07:04-DRB1*07:01-DQB1*02:02  India Central UCBB 0.03334,204
 796  A*01:01:01:01-B*27:05:02-C*07:04:01-DRB1*11:04:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 797  A*02:01:01:01-B*15:18:01-C*07:04:01-DRB1*03:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 798  A*02:01:01:01-B*40:01:02-C*07:04:01-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 799  A*02:01:01:01-B*44:02:01:03-C*07:04:01-DRB1*04:03:01-DQB1*03:05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 800  A*02:01:01:01-B*44:02:01:03-C*07:04:01-DRB1*08:01:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510

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 2,028) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 21  


   

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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