Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 78 (from 78) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Baja California, Tijuana 6.000025
 2  A*03:01:01-B*08:01:01-C*07:06:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 3  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Aguascalientes state 1.578995
 4  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Baja California, La Paz 1.333375
 5  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Sonora, Hermosillo 1.010199
 6  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 7  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Chihuahua Chihuahua City 0.8403119
 8  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*03:01  USA San Diego 0.7810496
 9  A*03-B*08-DRB1*03:01-DQB1*02:01  Bolivia Quechua 0.720069
 10  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 0.6993143
 11  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Coahuila Rural 0.6881216
 12  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221
 13  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Guanajuato, Leon 0.641078
 14  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Italy pop 5 0.5900975
 15  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Sonora Rural 0.5076197
 16  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Sinaloa, Culiacán 0.4854103
 17  A*03:01-B*08:01-C*05:01-E*01:01:01-F*01:01:02-G*01:03-DRB1*03:01-DQA1*05:01-DQB1*02:01  Portugal Azores Terceira Island 0.4386130
 18  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Jalisco Rural 0.4266585
 19  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Chihuahua Rural 0.4184236
 20  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Tamaulipas Rural 0.3968125
 21  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Sonora, Ciudad Obregón 0.3497143
 22  A*03-B*08-C*07:02-DRB1*03:01-DQB1*02  Russia Transbaikal Territory Buryats 0.3340150
 23  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Mexico City Center 0.3247152
 24  A*03:01-B*08:01-C*06:02-DRB1*03:01-DQA1*04:01-DQB1*02:01-DPB1*02:01  South Africa Worcester 0.3000159
 25  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.290523,595
 26  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Sinaloa Rural 0.2732183
 27  A*03:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 28  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.25204,856
 29  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.21115,926
 30  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.20504,335
 31  A*03:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 0.2000298
 32  A*03:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 33  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.18031,376
 34  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.1475570
 35  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 36  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 0.13881,075
 37  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 0.12081,075
 38  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.09774,204
 39  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*03:01  United Arab Emirates Pop 1 0.0935570
 40  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Veracruz Rural 0.0924539
 41  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 42  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.08903,456,066
 43  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Jalisco, Guadalajara city 0.08381,189
 44  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 0.08373,456,066
 45  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.07985,829
 46  A*03:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.07161,510
 47  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 48  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.064011,446
 49  A*03-B*08-DRB1*03:01-DQB1*02  Ecuador Andes Mixed Ancestry 0.0607824
 50  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Tlaxcala Rural 0.0602830
 51  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.05805,849
 52  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 0.05302,411
 53  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.05001,159
 54  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 55  A*03:01-B*08:01-C*04:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.0467570
 56  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*01:03-DPB1*452:01  United Arab Emirates Pop 1 0.0467570
 57  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPA1*02:01-DPB1*14:01  United Arab Emirates Pop 1 0.0467570
 58  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 59  A*03-B*08-DRB1*03:01-DQB1*02  Ecuador Mixed Ancestry 0.04261,173
 60  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 61  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 62  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.03145,849
 63  A*03:02:01-B*08:01:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.030823,595
 64  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02504,856
 65  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.02473,456,066
 66  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.02243,456,066
 67  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02204,856
 68  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01143,456,066
 69  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.00932,492
 70  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.00904,204
 71  A*03:01-B*08:01-C*07:02-DRB1*03:01-DQB1*02:07  India West UCBB 0.00865,829
 72  A*03:01-B*08:01-C*15:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 73  A*03:02-B*08:01-C*07:02-DRB1*03:01-DQB1*02:07  India West UCBB 0.00865,829
 74  A*03:02:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004523,595
 75  A*03:01-B*08:01-C*04:01-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 76  A*03:01-B*08:01-C*04:01-DRB1*03:01-DQB1*02:07  India South UCBB 0.004411,446
 77  A*03:01-B*08:01-C*06:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.004411,446
 78  A*03:01:01-B*08:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.004223,595

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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