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 1 to 69 (from 69) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0003620185,391
 2  A*01:01-B*15:17-C*07:01-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP South Asian Indian 0.5786185,391
 3  A*01:01-B*37:01-C*06:02-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 1.3953185,391
 4  A*01:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.1953185,391
 5  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.9040185,391
 6  A*01:01-B*57:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 2.1760185,391
 7  A*02:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP South Asian Indian 0.0301185,391
 8  A*02:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0002980185,391
 9  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP South Asian Indian 0.0000900185,391
 10  A*02:01-B*18:01-C*07:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP South Asian Indian 0.0042185,391
 11  A*02:01-B*27:05-C*01:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.0023185,391
 12  A*02:01-B*35:01-C*04:01-DRB1*14:02-DRB3*01:01-DQB1*03:01  USA NMDP South Asian Indian 0.0000880185,391
 13  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP South Asian Indian 0.0025185,391
 14  A*02:01-B*44:02-C*05:01-DRB1*04:01-DRB4*01:01-DQB1*03:01  USA NMDP South Asian Indian 0.0040185,391
 15  A*02:03-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.1697185,391
 16  A*02:03-B*38:02-C*07:02-DRB1*16:02-DRB5*01:01-DQB1*05:02  USA NMDP South Asian Indian 0.0061185,391
 17  A*02:03-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 0.0070185,391
 18  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.4022185,391
 19  A*02:06-B*35:01-C*03:03-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP South Asian Indian 0.0001310185,391
 20  A*02:07-B*46:01-C*01:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP South Asian Indian 0.0038185,391
 21  A*02:07-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 0.0211185,391
 22  A*02:07-B*46:01-C*01:02-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.0052185,391
 23  A*02:07-B*46:01-C*01:02-DRB1*14:01-DRB3*02:02-DQB1*05:02  USA NMDP South Asian Indian 0.0021185,391
 24  A*02:11-B*40:06-C*15:02-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP South Asian Indian 0.8660185,391
 25  A*03:01-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP South Asian Indian 0.0698185,391
 26  A*03:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.3817185,391
 27  A*03:01-B*44:02-C*05:01-DRB1*13:01-DRB3*01:01-DQB1*06:03  USA NMDP South Asian Indian 0.0062185,391
 28  A*11:01-B*13:01-C*03:04-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP South Asian Indian 0.0013185,391
 29  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP South Asian Indian 0.0089185,391
 30  A*11:01-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.2485185,391
 31  A*11:01-B*15:02-C*08:01-DRB1*15:01-DRB5*01:01-DQB1*06:01  USA NMDP South Asian Indian 0.1024185,391
 32  A*11:01-B*15:25-C*04:03-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.0081185,391
 33  A*11:01-B*35:01-C*04:01-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.3421185,391
 34  A*11:01-B*38:02-C*07:02-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.0090185,391
 35  A*11:01-B*40:01-C*07:02-DRB1*08:03-DRBX*NNNN-DQB1*06:01  USA NMDP South Asian Indian 0.0000200185,391
 36  A*11:01-B*40:01-C*07:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 0.0016185,391
 37  A*11:01-B*46:01-C*01:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 0.0065185,391
 38  A*11:01-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.8342185,391
 39  A*11:01-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP South Asian Indian 0.0001440185,391
 40  A*23:01-B*44:03-C*04:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0836185,391
 41  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.0679185,391
 42  A*24:02-B*07:02-C*07:02-DRB1*15:01-DRB5*01:01-DQB1*06:02  USA NMDP South Asian Indian 0.1746185,391
 43  A*24:02-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.2333185,391
 44  A*24:02-B*18:01-C*12:03-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP South Asian Indian 0.0536185,391
 45  A*24:02-B*35:01-C*04:01-DRB1*14:02-DRB3*01:01-DQB1*03:01  USA NMDP South Asian Indian 0.0006720185,391
 46  A*24:02-B*35:02-C*04:01-DRB1*11:04-DRB3*02:02-DQB1*03:01  USA NMDP South Asian Indian 0.3732185,391
 47  A*24:02-B*35:03-C*12:03-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0467185,391
 48  A*24:02-B*48:01-C*08:01-DRB1*11:01-DRB3*02:02-DQB1*03:01  USA NMDP South Asian Indian 0.0048185,391
 49  A*24:02-B*51:01-C*14:02-DRB1*09:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 0.0019185,391
 50  A*24:02-B*52:01-C*12:02-DRB1*15:02-DRB5*01:02-DQB1*06:01  USA NMDP South Asian Indian 0.3749185,391
 51  A*24:02-B*54:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP South Asian Indian 0.0084185,391
 52  A*24:02-B*59:01-C*01:02-DRB1*04:05-DRB4*01:01-DQB1*04:01  USA NMDP South Asian Indian 0.0002700185,391
 53  A*24:03-B*51:06-C*12:04-DRB1*07:01-DRB4*01:01-DQB1*03:03  USA NMDP South Asian Indian 0.0008850185,391
 54  A*24:07-B*35:05-C*04:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.0322185,391
 55  A*24:17-B*15:02-C*08:01-DRB1*12:02-DRB3*03:01-DQB1*03:01  USA NMDP South Asian Indian 0.5793185,391
 56  A*26:01-B*08:01-C*07:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP South Asian Indian 1.4203185,391
 57  A*26:01-B*38:02-C*07:02-DRB1*15:02-DRB5*01:02-DQB1*05:01  USA NMDP South Asian Indian 0.0000220185,391
 58  A*29:01-B*07:05-C*15:05-DRB1*10:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.5112185,391
 59  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0008090185,391
 60  A*30:01-B*13:02-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.9874185,391
 61  A*30:01-B*42:01-C*17:01-DRB1*03:02-DRB3*01:01-DQB1*04:02  USA NMDP South Asian Indian 0.0039185,391
 62  A*30:02-B*18:01-C*05:01-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP South Asian Indian 0.0018185,391
 63  A*30:04-B*14:01-C*08:02-DRB1*04:04-DRB4*01:01-DQB1*04:02  USA NMDP South Asian Indian 0.0001760185,391
 64  A*33:01-B*14:02-C*08:02-DRB1*01:02-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.0788185,391
 65  A*33:03-B*44:03-C*07:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 2.7980185,391
 66  A*33:03-B*44:03-C*14:03-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP South Asian Indian 0.0001040185,391
 67  A*33:03-B*53:01-C*04:01-DRB1*08:04-DRBX*NNNN-DQB1*03:01  USA NMDP South Asian Indian 0.0002260185,391
 68  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP South Asian Indian 1.0562185,391
 69  A*33:03-B*58:01-C*03:02-DRB1*13:02-DRB3*03:01-DQB1*06:09  USA NMDP South Asian Indian 0.6448185,391

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).




   

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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