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 71 (from 71) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*11-B*52-C*07-DRB1*15  Myanmar Rakhine 5.208048
 2  A*11-B*52-C*07-DRB1*15  Myanmar Kachin 3.088063
 3  A*68-B*52-C*07-DRB1*15  Myanmar Chin 1.818055
 4  B*52:01:01-C*07:02:01-DRB1*15:02:02  China Jingpo Minority 1.0420105
 5  A*02-B*52-C*07-DRB1*15  Myanmar Kachin 0.794063
 6  A*02:03:01-B*52:01:01-C*07:02:01-DRB1*15:02:02  China Jingpo Minority 0.5210105
 7  A*24:02:01-B*52:01:01-C*07:02:01-DRB1*15:02:02  China Jingpo Minority 0.5210105
 8  B*52:01:01-C*07:02:01-DRB1*15:01:01  China Jingpo Minority 0.5210105
 9  A*24:02-B*52:01-C*07:01-DRB1*15:01-DQB1*05:02  Malaysia Peninsular Malay 0.3680951
 10  A*02:01:01-B*52:01:01-C*07:02:01-DRB1*15:02:01  Nicaragua Mestizo (G) 0.3226155
 11  A*02:01-B*52:01-C*07:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Indian 0.1845271
 12  A*02-B*52-C*07-DRB1*15  Macedonia 0.1748286
 13  A*11:03-B*52:01-C*07:02-DRB1*15:01-DQB1*06:01  India Northeast UCBB 0.1689296
 14  A*11:03-B*52:01-C*07:02-DRB1*15:04-DQB1*05:02  India Northeast UCBB 0.1689296
 15  A*68:01-B*52:01-C*07:02-DRB1*15:04-DQB1*05:02  India Northeast UCBB 0.1689296
 16  A*24:02-B*52:01-C*07:01-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.1577951
 17  A*24:02-B*52:01-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.1052951
 18  A*11:03-B*52:01-C*07:02-DRB1*15:02-DQB1*05:02  India East UCBB 0.06242,403
 19  A*02:06-B*52:01-C*07:01-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 20  A*02:06-B*52:01-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 21  A*11:01-B*52:01-C*07:02-DRB1*15:01-DQB1*06:02  Malaysia Peninsular Malay 0.0526951
 22  A*11:01-B*52:01-C*07:02-DRB1*15:02-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 23  A*24:02-B*52:01-C*07:01-DRB1*15:09-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 24  A*24:02-B*52:01-C*07:19-DRB1*15:02-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 25  A*24:07-B*52:01-C*07:02-DRB1*15:01-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 26  A*26:01-B*52:01-C*07:02-DRB1*15:02-DQB1*06:01  Malaysia Peninsular Malay 0.0526951
 27  A*33:03-B*52:01-C*07:01-DRB1*15:01-DQB1*05:02  Malaysia Peninsular Malay 0.0526951
 28  A*11:01-B*52:01-C*07:02-DRB1*15:01-DQB1*06:02  India East UCBB 0.04162,403
 29  A*01:01-B*52:01-C*07:01-DRB1*15:02  Germany DKMS - Romania minority 0.04101,234
 30  A*03:01-B*52:01-C*07:02-DRB1*15:01-DQB1*06:02  Germany DKMS - Turkey minority 0.03104,856
 31  A*02-B*52-C*07-DRB1*15  Myanmar Bamar 0.021746
 32  A*24:17-B*52:01-C*07:02-DRB1*15:02-DQB1*06:01  India East UCBB 0.02082,403
 33  A*31:01-B*52:01-C*07:02-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 34  A*33:03-B*52:01-C*07:04-DRB1*15:02-DQB1*05:03  India East UCBB 0.02082,403
 35  A*33:03-B*52:01-C*07:06-DRB1*15:01-DQB1*06:01  India East UCBB 0.02082,403
 36  A*02:01-B*52:01-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02012,492
 37  A*24:07-B*52:01-C*07:04-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.02012,492
 38  A*11:01-B*52:01-C*07:02-DRB1*15:01  Hong Kong Chinese BMDR 0.01327,595
 39  A*24:02-B*52:01-C*07:01-DRB1*15:01-DQB1*05:02  India South UCBB 0.013111,446
 40  A*02:03-B*52:01-C*07:01-DRB1*15:01-DQB1*05:02  India Central UCBB 0.01194,204
 41  A*02:11-B*52:01-C*07:06-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01194,204
 42  A*03:01-B*52:01-C*07:01-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01194,204
 43  A*11:03-B*52:01-C*07:02-DRB1*15:02-DQB1*06:01  India Central UCBB 0.01194,204
 44  A*26:01-B*52:01-C*07:02-DRB1*15:01-DQB1*06:01  India Central UCBB 0.01194,204
 45  A*33:03-B*52:01-C*07:06-DRB1*15:01-DQB1*06:02  India Central UCBB 0.01194,204
 46  A*24:07:01-B*52:01:01-C*07:02:01-DRB1*15:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 47  A*02:06-B*52:01-C*07:26-DRB1*15:01-DQB1*06:04  India West UCBB 0.00865,829
 48  A*33:03-B*52:01-C*07:06-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 49  A*03:01-B*52:01-C*07:04-DRB1*15:155-DQB1*05:02  India North UCBB 0.00855,849
 50  A*11:01-B*52:01-C*07:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 51  A*11:03-B*52:01-C*07:02-DRB1*15:01-DQB1*06:01  India North UCBB 0.00855,849
 52  A*24:17-B*52:01-C*07:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.00855,849
 53  A*02:06-B*52:01-C*07:02-DRB1*15:02  Japan pop 16 0.005018,604
 54  A*26:01-B*52:01-C*07:02-DRB1*15:02  Japan pop 16 0.005018,604
 55  A*68:01-B*52:01-C*07:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00472,492
 56  A*68:01-B*52:01-C*07:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00472,492
 57  A*68:01-B*52:01-C*07:04-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00472,492
 58  A*68:01-B*52:01-C*07:04-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00472,492
 59  A*02:01-B*52:01-C*07:04-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 60  A*11:01-B*52:01-C*07:26-DRB1*15:02-DQB1*05:03  India South UCBB 0.004411,446
 61  A*11:03-B*52:01-C*07:02-DRB1*15:02-DQB1*05:01  India South UCBB 0.004411,446
 62  A*11:03-B*52:01-C*07:02-DRB1*15:04-DQB1*05:02  India South UCBB 0.004411,446
 63  A*24:02-B*52:01-C*07:26-DRB1*15:01-DQB1*06:01  India South UCBB 0.004411,446
 64  A*25:01-B*52:01-C*07:01-DRB1*15:02  Poland DKMS 0.002420,653
 65  A*25:01-B*52:01-C*07:01-DRB1*15:19  Poland DKMS 0.002420,653
 66  A*02:01-B*52:01-C*07:01-DRB1*15:02  Poland DKMS 0.001120,653
 67  A*02:01-B*52:01-C*07:01-DRB1*15:19  Poland DKMS 0.001120,653
 68  A*68:01-B*52:01-C*07:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00065102,492
 69  A*68:01-B*52:01-C*07:04-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00065102,492
 70  A*02:01-B*52:01-C*07:19-DRB1*15:02  Poland DKMS 0.000000020,653
 71  A*02:01-B*52:01-C*07:19-DRB1*15:19  Poland DKMS 0.000000020,653

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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