Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 370) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02-B*52-DRB1*07-DQB1*02  Mexico Colima Rural 2.272743
 2  A*33:03-B*52:01-DRB1*07:01  Malaysia Patani 2.000025
 3  A*30-B*52-DRB1*07-DQB1*02  Mexico Jalisco, Tonala 1.428635
 4  A*23-B*52-DRB1*07-DQB1*02  Mexico Mexico City South 0.961552
 5  A*32:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:01  Iran Gorgan 0.780064
 6  A*01-B*52-DRB1*07-DQB1*02  Mexico Baja California, La Paz 0.666775
 7  A*33-B*52-DRB1*07  India sub-Himalayan West Bengal Kami 0.6200158
 8  A*11-B*52-DRB1*07  Iraq Erbil 0.6000372
 9  A*02-B*52-DRB1*07-DQB1*02  Mexico San Luis Potosi Rural 0.574787
 10  A*02:01-B*52:02-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 11  A*02-B*52-DRB1*07:01  Colombia Barranquilla 0.5300188
 12  A*30-B*52-C*06-DRB1*07-DQB1*03  Sudan Khartoum 0.510098
 13  A*03:01-B*52:01-C*12:02-DRB1*07:01  Russia Bering Island Aleuts 0.4808104
 14  A*02:01:01-B*52:01:02-C*03:04:01-DRB1*07:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 15  A*11-B*52-C*06-DRB1*07-DQB1*06  Albania pop 2 0.3400432
 16  A*32-B*52-C*04-DRB1*07-DQB1*02  Albania pop 2 0.3400432
 17  A*01:01:01-B*52:01:01-C*06:02:01-DRB1*07:01:01-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 18  A*11:01:01-B*52:01:01-C*04:01:01-DRB1*07:01:01-DQB1*06:01:01  India Karnataka Kannada Speaking 0.2870174
 19  A*68:01:02-B*52:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:02:01  India Karnataka Kannada Speaking 0.2870174
 20  A*32-B*52-DRB1*07-DQB1*02  Mexico Sinaloa Rural 0.2732183
 21  A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Chinese 0.2577194
 22  A*32-B*52-DRB1*07-DQB1*02  Mexico Sonora Rural 0.2538197
 23  A*69-B*52-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.2500396
 24  A*02:01:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 25  A*11-B*52-DRB1*07  Albania pop 2 0.2300432
 26  A*01:03-B*52:01-DRB1*07:01  Israel YemenJews 0.229015,542
 27  A*02:01:01:01-B*52:01:01:02-C*12:02:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.22881,510
 28  A*02:01-B*52:01-C*03:03-DRB1*07:01-DQA1*05:01-DQB1*03:02-DPB1*04:01  Nicaragua Managua 0.2165339
 29  A*01-B*52-DRB1*07  Iran pop 4 0.2101855
 30  A*01-B*52-DRB1*07  Iraq Erbil 0.2000372
 31  A*02-B*52-DRB1*07  Iraq Erbil 0.2000372
 32  A*02:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02-DPB1*04:01  Panama 0.1900462
 33  A*02-B*52-DRB1*07-DQB1*02  Mexico Zacatecas Rural 0.1859266
 34  A*01:01-B*52:11-C*12:02-DRB1*07:01-DQB1*03:03  Malaysia Peninsular Indian 0.1845271
 35  A*02-B*52-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.1706585
 36  A*02:06-B*52:01-C*12:02-DRB1*07:03-DQB1*02:02  India Northeast UCBB 0.1689296
 37  A*01:01-B*52:01-DRB1*07:01  Israel Tunisia Jews 0.16609,070
 38  A*24:02-B*52:01-DRB1*07:01  Israel Iraq Jews 0.161013,270
 39  A*11:01-B*52:01-C*07:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1577951
 40  A*03-B*52-DRB1*07  Iran pop 4 0.1401855
 41  A*01:01:01-B*52:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 42  A*02:01:01-B*52:01:01-C*12:02:01-DRB1*07:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 43  A*24:02:01-B*52:01:01-C*01:02:01-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 44  A*31:01:02-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*03:03:02  India Kerala Malayalam speaking 0.1400356
 45  A*33:03:01-B*52:01:01-C*12:02:01-DRB1*07:01:01-DQB1*03:02:08  India Kerala Malayalam speaking 0.1400356
 46  A*33:03:01-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 47  A*01:01-B*52:01-DRB1*07:01  Israel Libya Jews 0.13403,739
 48  A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.12882,403
 49  A*03:01-B*52:01-C*12:02-DRB1*07:01  Germany DKMS - Portugal minority 0.12801,176
 50  A*02-B*52-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.1250396
 51  A*01-B*52-DRB1*07  Albania pop 2 0.1200432
 52  A*32-B*52-DRB1*07  Albania pop 2 0.1200432
 53  A*02-B*52-DRB1*07:01  Chile Santiago 0.1160920
 54  A*01:01-B*52:01-DRB1*07:01  Israel YemenJews 0.114015,542
 55  A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.11092,492
 56  A*24:02-B*52:01-C*07:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.1052951
 57  A*01:01-B*52:01-DRB1*07:01  Israel Iraq Jews 0.093813,270
 58  A*02-B*52-DRB1*07-DQB1*03:03  Mexico Veracruz Rural 0.0924539
 59  A*68:01:02-B*52:01:01-C*12:02:02-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.08651,734
 60  A*24:02-B*52:01-DRB1*07:01  Israel Tunisia Jews 0.08649,070
 61  A*03-B*52-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.0853585
 62  A*24:07-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.08472,492
 63  A*24:02-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India East UCBB 0.08422,403
 64  B*52:01-DRB1*07:01  Italy pop 5 0.0800975
 65  A*02:01-B*52:01-DRB1*07:01  Israel Arab pop 2 0.078012,301
 66  A*24:03-B*52:01-DRB1*07:01  Israel Iraq Jews 0.074513,270
 67  A*01:01-B*52:01-C*08:01-DRB1*07:01-DQA1*06:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 68  A*02:01-B*52:01-C*06:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 69  A*03:01-B*52:01-C*06:02-DRB1*07:01-DQA1*01:03-DQB1*03:03-DPB1*09:01  Sri Lanka Colombo 0.0700714
 70  A*03:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*83:01  Sri Lanka Colombo 0.0700714
 71  A*03:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*28:01  Sri Lanka Colombo 0.0700714
 72  A*03:01-B*52:01-C*12:145-DRB1*07:01-DQA1*01:03-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 73  A*11:01-B*52:01-C*12:02-DRB1*07:01-DQA1*01:02-DQB1*06:01-DPB1*02:01  Sri Lanka Colombo 0.0700714
 74  A*11:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*03:01  Sri Lanka Colombo 0.0700714
 75  A*23:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  Sri Lanka Colombo 0.0700714
 76  A*33:03-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.0700714
 77  A*33:03-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*28:01  Sri Lanka Colombo 0.0700714
 78  A*68:01-B*52:01-C*12:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*02:01  Sri Lanka Colombo 0.0700714
 79  A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.068311,446
 80  A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.06564,204
 81  A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.06552,492
 82  A*01:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.06402,492
 83  A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.063811,446
 84  A*03:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.06322,403
 85  A*68:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.06245,829
 86  A*11:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.06092,492
 87  A*02-B*52-DRB1*07-DQB1*02  Ecuador Andes Mixed Ancestry 0.0607824
 88  A*68-B*52-DRB1*07-DQB1*02  Ecuador Andes Mixed Ancestry 0.0607824
 89  A*26:01-B*52:01-C*12:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.06022,492
 90  A*68:01-B*52:01-C*07:02-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.06022,492
 91  A*03:01-B*52:01-C*12:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.05722,492
 92  A*01-B*52-DRB1*07:01  Chile Santiago 0.0543920
 93  A*24:04-B*52:01-DRB1*07:01  Israel Ashkenazi Jews pop 3 0.05304,625
 94  A*01:01-B*52:01-C*04:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 95  A*01:01-B*52:01-C*07:02-DRB1*07:11-DQB1*03:03  Malaysia Peninsular Malay 0.0526951
 96  A*02:01-B*52:01-C*07:02-DRB1*07:01-DQB1*05:01  Malaysia Peninsular Malay 0.0526951
 97  A*02:01-B*52:01-C*08:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 98  A*11:01-B*52:01-C*12:02-DRB1*07:16-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 99  A*24:02-B*52:01-C*03:02-DRB1*07:11-DQB1*02:01  Malaysia Peninsular Malay 0.0526951
 100  A*33:01-B*52:01-C*07:01-DRB1*07:01-DQB1*02:01  Malaysia Peninsular Malay 0.0526951

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 1 to 100 (from 370) records   Pages: 1 2 3 4 of 4  


   

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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