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 83 (from 83) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29-B*44-DRB1*07:01-DQB1*02  Spain Arratia Valley Basque 5.300083
 2  A*29-B*44-DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02  Spain Murcia 5.1000173
 3  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Tunisia 4.0000100
 4  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Colombia North Wiwa El Encanto 3.846252
 5  A*29-B*44-DRB1*07:01-DQB1*02  Cuba Mixed 3.800078
 6  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 3.42004,335
 7  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 2.9433115,374
 8  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 2.7972143
 9  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Caribean Indian 2.759314,339
 10  A*29-B*44-DRB1*07:01-DQB1*02  Spain Pas Valley 2.700088
 11  A*29:02:01-B*44:03-C*16:01:01-DRB1*07:01:01-DQB1*02:01  England North West 2.2000298
 12  A*29-B*44-DRB1*07:01-DQB1*02  Spain North Cabuerniga 2.200095
 13  A*29-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 2.1611641
 14  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 1.87691,463
 15  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 1.8600215
 16  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 1.8230496
 17  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 1.72001,999
 18  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 1.6788146,714
 19  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 1.56711,242,890
 20  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 1.43215,926
 21  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 1.4211261,235
 22  A*29-B*44-DRB1*07:01-DQB1*02:01  Madeira pop 2 1.4000173
 23  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 1.3575221
 24  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Italy pop 5 1.3300975
 25  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Ireland South 1.3000250
 26  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Nicaragua Managua 1.2987339
 27  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP North American Amerindian 1.286335,791
 28  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Parda 1.1765170
 29  A*29:01-B*44:02-DRB1*07:01-DQB1*02:02  Mexico Chihuahua Chihuahua City Pop 2 1.136488
 30  A*29:02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01:01-DQB1*02:02  Russia Bashkortostan, Tatars 1.0417192
 31  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.9727521
 32  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.9500462
 33  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.93201,159
 34  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.89881,376
 35  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*11:01:01  Brazil Rio de Janeiro Caucasian 0.7782521
 36  A*29:01:01-B*44:08-C*16:01:01-DRB1*07:01:01-DQB1*02:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 37  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.676670,890
 38  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.667623,595
 39  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6270405
 40  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.60302,411
 41  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 42  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.58054,889
 43  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02-DPB1*01:01  Panama 0.5700462
 44  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 0.495311,499
 45  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*11:01  Germany DKMS - German donors 0.46723,456,066
 46  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 0.4274234
 47  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Black 0.388333,328
 48  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African American pop 2 0.3570416,581
 49  A*29:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 50  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.3423521
 51  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 52  A*29:01-B*44:02-DRB1*07:01-DQB1*02:02  Mexico Mexico City Tlalpan 0.3030330
 53  A*29:01-B*44:03-C*07:01-DRB1*07:01-DQA1*03:03-DQB1*02:02-DPB1*02:01  South Africa Worcester 0.3000159
 54  A*29:02:01:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.29801,510
 55  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  Nicaragua Managua 0.2165339
 56  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.19793,456,066
 57  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.16931,075
 58  A*29:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.13594,889
 59  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.13423,456,066
 60  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African 0.130728,557
 61  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Filipino 0.120150,614
 62  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.10304,856
 63  A*29:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 64  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Japanese 0.085324,582
 65  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.07273,456,066
 66  A*29:02-B*44:03-C*04:01-DRB1*07:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.05731,075
 67  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.04393,456,066
 68  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.04253,456,066
 69  A*29:02-B*44:03-C*02:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 70  A*29:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India West UCBB 0.01365,829
 71  A*29:01-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India South UCBB 0.013211,446
 72  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*16:01  Germany DKMS - German donors 0.01183,456,066
 73  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*13:01  Germany DKMS - German donors 0.01083,456,066
 74  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.01063,456,066
 75  A*29:01-B*44:02-C*16:04-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 76  A*29:01-B*44:03-C*04:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 77  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 0.007699,672
 78  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 79  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 0.003977,584
 80  A*29:02:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002223,595
 81  A*29:02:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 82  A*29:02:01-B*44:03:01-C*07:01:02-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 83  A*29:02-B*44:03-C*16:01-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0008090185,391

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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