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 133) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29-B*44-DRB1*07-DQB1*03:03  Mexico Veracruz, Cordoba 1.785756
 2  A*03:01-B*44:05-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*03:03  United Arab Emirates Abu Dhabi 0.960052
 3  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 4  A*11:01:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.5376186
 5  A*02-B*44-DRB1*07-DQB1*03:03  Mexico Coahuila Rural 0.4587216
 6  A*02:01:01-B*44:05:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01-DQB1*03:03:02-DPA1*02:01:02-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 7  A*23-B*44-DRB1*07-DQB1*03:03  Mexico Chiapas Rural 0.4132121
 8  A*26-B*44-DRB1*07-DQB1*03:03  Mexico Yucatan Rural 0.3731132
 9  A*25:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQA1*03:01:01-DQB1*03:03:02-DPA1*02:01:01-DPB1*10:01  Russia Belgorod region 0.3268153
 10  A*24:02:01-B*44:03:02-C*07:06-DRB1*07:01:01-DQB1*03:03:02  India Andhra Pradesh Telugu Speaking 0.3116186
 11  A*02-B*44-DRB1*07-DQB1*03:03  Mexico Veracruz, Veracruz city 0.2907171
 12  A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  USA NMDP Alaska Native or Aleut 0.27341,376
 13  A*29-B*44-DRB1*07-DQB1*03:03  Mexico Nuevo Leon, Monterrey city 0.2212226
 14  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*04:01  Sri Lanka Colombo 0.2101714
 15  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India East UCBB 0.20802,403
 16  A*31:01-B*44:03-C*03:04-DRB1*07:01:01-DQB1*03:03:02  England North West 0.2000298
 17  A*32:01-B*44:02-C*05:01-DRB1*07:01:01-DQB1*03:03:02  England North West 0.2000298
 18  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 19  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 20  A*01:03-B*44:03-C*06:02-DRB1*07:01-DQB1*03:03  Malaysia Peninsular Indian 0.1845271
 21  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India Northeast UCBB 0.1689296
 22  A*26-B*44-DRB1*07-DQB1*03:03  Mexico Durango Rural 0.1529326
 23  A*03:01:01-B*44:03:01-C*04:01:01-DRB1*07:01-DQB1*03:03  Costa Rica Central Valley Mestizo (G) 0.1508221
 24  A*24:02-B*44:03-C*05:01-DRB1*07:01-DQB1*03:03  Italy pop 5 0.1400975
 25  A*02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01-DQB1*03:03  Costa Rica Central Valley Mestizo (G) 0.1303221
 26  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.13022,492
 27  A*29-B*44-DRB1*07-DQB1*03:03  Mexico Jalisco, Guadalajara city 0.12561,189
 28  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India Central UCBB 0.10344,204
 29  A*01:01:01:01-B*44:05:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.09961,510
 30  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India South UCBB 0.096811,446
 31  A*02-B*44-DRB1*07-DQB1*03:03  Mexico Veracruz Rural 0.0924539
 32  A*02-B*44-DRB1*07-DQB1*03:03  Mexico Jalisco Rural 0.0853585
 33  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India West UCBB 0.07355,829
 34  A*24:02-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*14:01  Sri Lanka Colombo 0.0700714
 35  A*03:01:01:01-B*44:05:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06781,510
 36  A*02-B*44-DRB1*07-DQB1*03:03  Mexico Mexico City North 0.0664751
 37  A*02-B*44-DRB1*07-DQB1*03:03  Ecuador Andes Mixed Ancestry 0.0607824
 38  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India North UCBB 0.06065,849
 39  A*02:01:01-B*44:27:01-C*07:04:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.060223,595
 40  A*02:01-B*44:03-C*16:01-DRB1*07:01-DQB1*03:03-DPB1*04:02  Russia Karelia 0.05651,075
 41  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.04601,772
 42  A*24:02-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 43  A*11:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.04301,159
 44  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.04301,159
 45  A*26:01-B*44:03-C*14:03-DRB1*07:01-DQB1*03:03  Germany DKMS - Italy minority 0.04301,159
 46  A*02-B*44-DRB1*07-DQB1*03:03  Ecuador Mixed Ancestry 0.04261,173
 47  A*02-B*44-DRB1*07-DQB1*03:03  Mexico Jalisco, Guadalajara city 0.04191,189
 48  A*23-B*44-DRB1*07-DQB1*03:03  Mexico Jalisco, Guadalajara city 0.04191,189
 49  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.038923,595
 50  A*24:02-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India Central UCBB 0.03684,204
 51  A*03:01-B*44:02-C*03:03-DRB1*07:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.03421,463
 52  A*25:01-B*44:02-C*07:04-DRB1*07:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 53  A*03:01:01:03-B*44:05:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 54  A*01:01:01-B*44:05:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03131,510
 55  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India Central UCBB 0.02944,204
 56  A*01:01:01-B*44:05:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.029323,595
 57  A*68-B*44-DRB1*07-DQB1*03:03  Mexico Puebla, Puebla city 0.02511,994
 58  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.02104,856
 59  A*24:02-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India East UCBB 0.02092,403
 60  A*01:01-B*44:03-C*07:01-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.02042,492
 61  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.020323,595
 62  A*03:01-B*44:03-C*07:01-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.02012,492
 63  A*68:01-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India West UCBB 0.01965,829
 64  A*32:01-B*44:03-C*04:01-DRB1*07:01-DQB1*03:03  India North UCBB 0.01715,849
 65  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.016823,595
 66  A*02:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03-DPB1*04:01  Germany DKMS - German donors 0.01673,456,066
 67  A*24:02-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  India South UCBB 0.016311,446
 68  A*02:01-B*44:03-C*07:01-DRB1*07:01-DQB1*03:03  India Tamil Nadu 0.01632,492
 69  A*03:01-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India West UCBB 0.01535,829
 70  A*24:02-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India South UCBB 0.013411,446
 71  A*32:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01324,204
 72  A*02:06-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01224,204
 73  A*02:03-B*44:03-C*15:02-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 74  A*02:06-B*44:03-C*04:01-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 75  A*33:03-B*44:03-C*04:01-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 76  A*33:55-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 77  A*68:01-B*44:03-C*16:02-DRB1*07:01-DQB1*03:03  India Central UCBB 0.01194,204
 78  A*03:01-B*44:03-C*14:03-DRB1*07:01-DQB1*03:03  USA African American pop 4 0.01102,411
 79  A*66:01-B*44:03-C*14:03-DRB1*07:01-DQB1*03:03  USA African American pop 4 0.01102,411
 80  A*03:02-B*44:02-C*16:04-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 81  A*23:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 82  A*24:02-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 83  A*68:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 84  A*68:01-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India South UCBB 0.009511,446
 85  A*11:01-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  India South UCBB 0.009411,446
 86  A*02:09-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India South UCBB 0.009011,446
 87  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQB1*03:03  India South UCBB 0.008911,446
 88  A*01:01-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India North UCBB 0.00875,849
 89  A*02:05-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  India South UCBB 0.008711,446
 90  A*02:11-B*44:03-C*03:04-DRB1*07:01-DQB1*03:03  India South UCBB 0.008711,446
 91  A*03:01-B*44:02-C*07:04-DRB1*07:01-DQB1*03:03  India West UCBB 0.00865,829
 92  A*11:01-B*44:03-C*03:04-DRB1*07:01-DQB1*03:03  India West UCBB 0.00865,829
 93  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 94  A*11:01-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India West UCBB 0.00855,829
 95  A*30:01-B*44:03-C*04:01-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 96  A*68:01-B*44:02-C*07:04-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 97  A*68:01-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India North UCBB 0.00855,849
 98  A*02:05-B*44:03-C*07:06-DRB1*07:01-DQB1*03:03  India North UCBB 0.00845,849
 99  A*02:11-B*44:02-C*05:01-DRB1*07:01-DQB1*03:03  India South UCBB 0.008311,446
 100  A*03:01-B*44:03-C*04:01-DRB1*07:01-DQB1*03:03  India West UCBB 0.00835,829

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 133) records   Pages: 1 2 of 2  


   

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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