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 163) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Yazd 5.357156
 2  A*02-B*50-DRB1*07-DQB1*02  Mexico Hidalgo, Pachuca 3.658541
 3  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Tunisia 3.0000100
 4  A*02:01:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Morocco Atlantic Coast Chaouya 2.900098
 5  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 2.880052
 6  A*02:01-B*50:01-DRB1*07:01-DQB1*02:02  Tunisia Gabes 2.630095
 7  A*02-B*50-DRB1*07:01-DQB1*02:01  Russia Chuvash 1.800082
 8  A*02-B*50-DRB1*07:01-DQB1*02:02  Tunisia Ghannouch 1.800082
 9  A*02-B*50-DRB1*07-DQB1*02  Mexico San Luis Potosi Rural 1.724187
 10  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 11  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 12  A*02-B*50-DRB1*07:01-DQB1*02:01  Madeira pop 2 1.4000173
 13  A*02-B*50-DRB1*07-DQA1*02-DQB1*02:02  Russia, South Ural, Chelyabinsk region, Nagaybaks 1.3400112
 14  A*02-B*50-DRB1*07-DQB1*02  Turkey pop 2 1.3000228
 15  A*02-B*50-DRB1*07-DQB1*02  Mexico Morelos, Cuernavaca 1.219582
 16  A*02-B*50:01-DRB1*07:01-DQB1*02:01  Tunisia pop 3 1.2000104
 17  A*02-B*50-DRB1*07:01-DQB1*02  Gaza Palestinians 1.2000165
 18  A*02-B*50-C*06:02-DRB1*07-DQB1*02  Russia North Ossetian 1.1800127
 19  A*02-B*50-DRB1*07-DQB1*02  Mexico Queretaro, Queretaro city 1.111145
 20  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 1.030997
 21  A*02-B*50-C*06-DRB1*07-DQB1*02  Sudan Khartoum 1.020098
 22  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 23  A*02-B*50-DRB1*07-DQB1*02  Mexico Chihuahua, Ciudad Juarez 0.9259106
 24  A*02:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Bashkirs 0.8333120
 25  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.807228,927
 26  A*02-B*50-C*06-DRB1*07-DQA1*02-DQB1*02  Spain, Castilla y Leon, Northwest, 0.74831,743
 27  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.73304,856
 28  A*02-B*50-DRB1*07-DQB1*02  Mexico Michoacan, Morelia 0.6623150
 29  A*02-B*50-DRB1*07-DQB1*02  Mexico Coahuila, Torreon 0.6250396
 30  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.616970,890
 31  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.599428,927
 32  A*02:01-B*50:01-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 0.568288
 33  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.55835,849
 34  A*02-B*50-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.5359641
 35  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*14:01:01  Saudi Arabia pop 6 (G) 0.527428,927
 36  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.515428,927
 37  A*02:05-B*50:01-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.5000298
 38  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.46301,159
 39  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.46104,204
 40  A*02:01-B*50:01-C*07:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*01:03-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 41  A*02-B*50-DRB1*07-DQB1*02  Mexico Chihuahua Chihuahua City 0.4202119
 42  A*02-B*50-DRB1*07-DQB1*02  Mexico Chihuahua Rural 0.4184236
 43  A*02-B*50-DRB1*07-DQB1*02  Mexico Chiapas Rural 0.4132121
 44  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.41011,463
 45  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.4022185,391
 46  A*02-B*50-DRB1*07-DQB1*02  Guatemala, Guatemala City Mixed Ancestry 0.3900127
 47  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 48  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.359228,927
 49  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.35685,829
 50  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.346428,927
 51  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 0.345927,978
 52  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.34204,335
 53  A*02-B*50-DRB1*07-DQB1*02  Mexico Nuevo Leon Rural 0.3409439
 54  A*02-B*50-C*06:02-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 55  A*02:01-B*50:01-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.3000298
 56  A*02:05:01-B*50:01:01-C*06:02:01:02-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.29801,510
 57  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.28841,242,890
 58  A*02-B*50-DRB1*07-DQB1*02  Mexico Michoacan Rural 0.2865348
 59  A*02-B*50-DRB1*07-DQB1*02  Mexico Tlaxcala, Tlaxcala city 0.2762181
 60  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.268623,595
 61  A*02:08-B*50:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 62  A*02-B*50-DRB1*07-DQB1*02  Mexico Yucatan, Merida 0.2564192
 63  A*02-B*50-DRB1*07-DQB1*02  Mexico Jalisco Rural 0.2560585
 64  A*02-B*50-DRB1*07-DQB1*02  Ecuador Andes Mixed Ancestry 0.2427824
 65  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.20675,926
 66  A*02-B*50-DRB1*07-DQB1*02  Mexico Mexico City North 0.1992751
 67  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 0.1946146,714
 68  A*02:05:01-B*50:01:01-C*02:02:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 69  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 0.1843261,235
 70  A*02-B*50-DRB1*07-DQB1*02  Mexico Puebla Rural 0.1799833
 71  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.17104,335
 72  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.17072,403
 73  A*02-B*50-DRB1*07-DQB1*02  Ecuador Mixed Ancestry 0.17051,173
 74  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.17041,376
 75  A*02-B*50-DRB1*07-DQB1*02  Mexico Jalisco, Guadalajara city 0.16751,189
 76  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.163535,791
 77  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.159128,927
 78  A*02:01-B*50:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.1515330
 79  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.15104,856
 80  A*02-B*50-DRB1*07-DQB1*02  Mexico Puebla, Puebla city 0.15031,994
 81  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.146711,446
 82  A*02:08-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.14515,849
 83  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 84  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.13252,492
 85  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.12821,463
 86  A*02-B*50-DRB1*07-DQB1*02  Mexico Tlaxcala Rural 0.1205830
 87  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.11554,889
 88  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*03:01  Russia Karelia 0.11141,075
 89  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African 0.101028,557
 90  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 0.0939115,374
 91  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.090023,595
 92  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.08603,456,066
 93  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 94  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 0.085999,672
 95  A*02:08-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.08334,204
 96  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.07313,456,066
 97  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 0.070143,540
 98  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 99  A*02:01-B*50:01-C*01:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 100  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  China Zhejiang Han 0.05771,734

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 163) 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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