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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 63 (from 63) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:11-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 2  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 3  A*11:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 4  A*31:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.11922,492
 5  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.10085,829
 6  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.08275,849
 7  A*03:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.08082,403
 8  A*02:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.06841,463
 9  A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.06565,849
 10  A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.06562,492
 11  A*01:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.06432,492
 12  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.06414,204
 13  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.056411,446
 14  A*02:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.04812,492
 15  A*68:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.04695,829
 16  A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.04402,411
 17  A*01:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.043211,446
 18  A*03:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.04162,403
 19  A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.03965,829
 20  A*31:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.036311,446
 21  A*03:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.03355,849
 22  A*11:01:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 23  A*03:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.029111,446
 24  A*68:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.02742,403
 25  A*02:06-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02384,204
 26  A*01:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02374,204
 27  A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.02164,204
 28  A*02:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 29  A*68:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.02104,856
 30  A*02:09-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 31  A*02:11-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.02085,849
 32  A*24:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.02082,403
 33  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02082,492
 34  A*03:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.02015,829
 35  A*03:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.01715,849
 36  A*26:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.01622,403
 37  A*02:11-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.01475,829
 38  A*68:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.014011,446
 39  A*03:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01314,204
 40  A*01:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01304,856
 41  A*01:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.01215,829
 42  A*24:07-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01194,204
 43  A*01:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.01185,849
 44  A*02:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.01165,829
 45  A*32:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Central UCBB 0.01124,204
 46  A*32:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.01104,856
 47  A*68:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.00915,849
 48  A*02:09-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 49  A*29:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 50  A*31:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.00865,829
 51  A*03:182-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.00855,849
 52  A*02:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.007511,446
 53  A*02:11-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.006911,446
 54  A*02:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.005323,595
 55  A*02:131-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.004811,446
 56  A*03:02-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.004511,446
 57  A*11:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004523,595
 58  A*11:03-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.004411,446
 59  A*33:03-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.003511,446
 60  A*01:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 61  A*30:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 62  A*03:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002023,595
 63  A*24:02:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.000795623,595

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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