Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 86 (from 86) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*40:01-C*16:02-DRB1*13:01-DQB1*06:03  Mexico Mexico City Mestizo population 0.3497143
 2  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 3  A*33:03-B*52:01-C*16:02-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 4  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.1689296
 5  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.14215,849
 6  A*02:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.11904,856
 7  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.10402,403
 8  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.09385,829
 9  A*11:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.08245,849
 10  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.08164,204
 11  A*03:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.07642,492
 12  A*31:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.07414,204
 13  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.073611,446
 14  A*11:01-B*51:01-C*16:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 15  A*24:03-B*51:01-C*16:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 16  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*26:01  Sri Lanka Colombo 0.0700714
 17  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.06841,463
 18  A*11:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.06015,829
 19  A*68:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.05982,492
 20  A*32:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.05892,492
 21  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.05204,856
 22  A*02:06-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.05085,849
 23  A*26:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.04734,204
 24  A*02:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 25  A*02:01-B*51:08-C*16:02-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 26  A*31:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.04515,849
 27  A*02:05-B*27:05-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 28  A*23:01-B*51:08-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 29  A*69:01-B*51:08-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 30  A*01:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.04265,829
 31  A*01:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.04012,492
 32  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.03884,204
 33  A*23:01-B*51:08-C*16:02-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 34  A*03:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.03204,856
 35  A*03:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.03204,204
 36  A*03:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.029411,446
 37  A*68:01:02-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.02881,734
 38  A*26:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.027011,446
 39  A*01:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.02685,849
 40  A*33:03-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.02505,849
 41  A*33:03-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02472,492
 42  A*31:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.024511,446
 43  A*26:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.02415,829
 44  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02252,492
 45  A*26:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.02215,849
 46  A*32:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.02104,856
 47  A*02:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India East UCBB 0.02082,403
 48  A*24:02-B*15:18-C*16:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 49  A*31:01-B*15:18-C*16:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 50  A*33:03-B*27:05-C*16:02-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02012,492
 51  A*02:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.02005,849
 52  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.017711,446
 53  A*68:01-B*15:18-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.01725,829
 54  A*32:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.017011,446
 55  A*24:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.01305,829
 56  A*01:01-B*51:08-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 57  A*02:01-B*38:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 58  A*02:08-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 59  A*32:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.01194,204
 60  A*01:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.01101,772
 61  A*02:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.01101,772
 62  A*01:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 63  A*03:02-B*35:02-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 64  A*03:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01004,856
 65  A*30:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.008711,446
 66  A*02:01-B*56:01-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 67  A*32:01-B*27:05-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00865,829
 68  A*02:01-B*27:04-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 69  A*02:01-B*58:08-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 70  A*02:09-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00855,849
 71  A*03:02-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India North UCBB 0.00835,849
 72  A*02:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India West UCBB 0.00815,829
 73  A*26:01-B*15:18-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.008011,446
 74  A*33:03-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India Central UCBB 0.00754,204
 75  A*02:11-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.006611,446
 76  A*33:03-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.005511,446
 77  A*11:01-B*51:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.005411,446
 78  A*01:01-B*15:18-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004911,446
 79  A*24:02-B*15:18-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 80  A*32:01-B*27:05-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 81  A*68:01-B*52:01-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.004411,446
 82  A*11:01-B*15:18-C*16:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.003611,446
 83  A*33:03:01-B*44:03:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.003423,595
 84  A*02:01:01-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002223,595
 85  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.001923,595
 86  A*29:01:01-B*51:01:01-C*16:02:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.001823,595

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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