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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 523) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*74-B*35-DRB1*10-DQB1*05  Mexico Tamaulipas, Ciudad Victoria 10.869623
 2  A*30:02-B*35:01:01-DRB1*10:01  Cape Verde Northwestern Islands 5.600062
 3  A*68-B*35-DRB1*10:01-DQB1*05:01  Colombia San Basilio de Palenque 3.571042
 4  A*02:02-B*35:01:01-DRB1*10:01  Guinea Bissau 2.300065
 5  A*02-B*35-DRB1*10-DQB1*05  Mexico Tamaulipas, Ciudad Victoria 2.173923
 6  A*23-B*35-DRB1*10-DQB1*05  Mexico Tamaulipas, Ciudad Victoria 2.173923
 7  A*74:01-B*35:01:01-DRB1*10:01  Guinea Bissau 1.500065
 8  A*11-B*35-DRB1*10-DQB1*05  Mexico Sonora, Ciudad Obregón 1.3986143
 9  A*03:01-B*35:01-DRB1*10:01  Sweden Southern Sami 1.2000130
 10  A*68-B*35-C*04-DRB1*10  Myanmar Rakhine 1.042048
 11  A*02:01:01-B*35:02-DRB1*10  Portugal South 1.000049
 12  A*68-B*35-DRB1*10  Philippines National Capital Region 1.000051
 13  A*02:01-B*35:02-C*02:10-DRB1*10:01-DQA1*01:05-DQB1*03:19  United Arab Emirates Abu Dhabi 0.960052
 14  A*01:01-B*35:01-DRB1*10:01-DQB1*06:02  Iran Yazd 0.892956
 15  A*24:07-B*35:01-DRB1*10:01-DQB1*05:03  Iran Yazd 0.892956
 16  A*30-B*35-DRB1*10-DQB1*05  Mexico Chihuahua Chihuahua City 0.8403119
 17  A*03-B*35-DRB1*10-DQB1*05  Mexico Chiapas Rural 0.8264121
 18  A*68-B*35-DRB1*10-DQB1*05  Mexico Colima, Colima city 0.819761
 19  A*30:01-B*35:01-C*03:02-DRB1*10:01-DQB1*05:01  Iran Gorgan 0.780064
 20  A*24-B*35-DRB1*10  India sub-Himalayan West Bengal Kami 0.6000158
 21  A*32:01:01-B*35:02:01-C*04:01:01-DRB1*10:01:01-DQB1*05:103-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 22  A*24-B*35-DRB1*10-DQB1*05  Mexico Sinaloa Rural 0.5464183
 23  A*24-B*35-DRB1*10-DQB1*05  Mexico Nayarit, Tepic 0.515597
 24  A*32:01-B*35:08-DRB1*10:01  Israel YemenJews 0.471015,542
 25  A*02:02-B*35:01:01-C*04:01:01-DRB1*10:01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 26  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Italy pop 5 0.4400975
 27  A*02:01-B*35:27-C*07:01-E*01:03:01-F*01:01:01-G*01:06-DRB1*10:01-DQA1*01:05-DQB1*05:01  Portugal Azores Terceira Island 0.4386130
 28  A*68:01-B*35:08-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*02:02  Kosovo 0.4030124
 29  A*03:01-B*35:01-C*04:01-DRB1*10:01  Italy pop 5 0.4000975
 30  A*11-B*35-C*15-DRB1*10  Iran pop 4 0.4000855
 31  A*26-B*35-C*04-DRB1*10  Iran pop 4 0.4000855
 32  A*23-B*35-DRB1*10-DQB1*05  Mexico Tabasco Rural 0.3521142
 33  A*68-B*35-DRB1*10-DQB1*05  Mexico Sonora, Ciudad Obregón 0.3497143
 34  A*31-B*35-DRB1*10-DQB1*02  Iraq Arabs 0.3400149
 35  A*03-B*35-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.3120641
 36  A*23-B*35-DRB1*10  Brazil South Ribeirao Preto 0.3000184
 37  A*25-B*35-DRB1*10-DQB1*05  Mexico Veracruz, Veracruz city 0.2907171
 38  A*29:01:01-B*35:01:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 39  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.2870174
 40  A*01:01-B*35:08-DRB1*10:01  Israel Poland Jews 0.283013,871
 41  A*11-B*35-DRB1*10-DQB1*05  Mexico Sinaloa Rural 0.2732183
 42  A*68-B*35-DRB1*10:01  Colombia Barranquilla 0.2700188
 43  A*26:01-B*35:08-DRB1*10:01  Israel Iraq Jews 0.261013,270
 44  B*35:01-DRB1*10:01  Italy pop 5 0.2600975
 45  A*01:01-B*35:08-DRB1*10:01  Israel Argentina Jews 0.25104,307
 46  A*23:01:01-B*35:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 47  A*01:01-B*35:01-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  Sri Lanka Colombo 0.2101714
 48  A*02-B*35-DRB1*10-DQB1*05  Mexico Oaxaca Rural 0.2053485
 49  A*01-B*35-DRB1*10  Iraq Erbil 0.2000372
 50  A*11-B*35-DRB1*10  Iraq Erbil 0.2000372
 51  A*03:01-B*35:01-C*04:01-DRB1*10:01  Germany DKMS - Greece minority 0.19701,894
 52  A*11:01:01-B*35:08:01-C*04:01:01-DRB1*10:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 53  A*01:01-B*35:08-DRB1*10:01  Israel Ashkenazi Jews pop 3 0.19404,625
 54  A*02:01-B*35:02-C*04:01-DRB1*10:01-DQB1*06:02-DPB1*02:01  Panama 0.1900462
 55  A*03:01-B*35:01-C*17:01-DRB1*10:01-DQB1*03:03-DPB1*01:01  Panama 0.1900462
 56  A*01:01-B*35:01-C*04:01-DRB1*10:02-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 57  A*01:01-B*35:05-C*04:01-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 58  A*02:11-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  Malaysia Peninsular Indian 0.1845271
 59  A*68-B*35-DRB1*10-DQB1*05  Mexico Tlaxcala Rural 0.1807830
 60  A*32-B*35-C*04-DRB1*10  Macedonia 0.1748286
 61  A*32-B*35-DRB1*10  Macedonia 0.1748286
 62  B*35-DRB1*10  Macedonia 0.1748286
 63  A*01:01-B*35:08-DRB1*10:01  Israel USA Jews 0.17306,058
 64  A*03-B*35-DRB1*10-DQB1*05  Mexico Durango Rural 0.1529326
 65  A*11:01-B*35:01-DRB1*10:01-DQB1*05:01  Mexico Mexico City Tlalpan 0.1515330
 66  A*03-B*35-DRB1*10  Italy Lombardy 0.1500674
 67  A*02-B*35-DRB1*10-DQB1*05  Mexico Michoacan Rural 0.1433348
 68  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*04:01  Sri Lanka Colombo 0.1401714
 69  A*33:03-B*35:03-C*12:03-DRB1*10:01-DQA1*01:01-DQB1*05:01-DPB1*09:01  Sri Lanka Colombo 0.1401714
 70  A*11:01:01-B*35:03:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 71  A*30:02-B*35:01-C*07:02-DRB1*10:01-DQB1*02:01  Italy pop 5 0.1400975
 72  A*32:01-B*35:01-C*12:03-DRB1*10:01-DQB1*05:01  Italy pop 5 0.1400975
 73  A*02:01-B*35:01-DRB1*10:01  Israel Bukhara Jews 0.13602,317
 74  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.13102,411
 75  A*02:01-B*35:03-C*04:01-DRB1*10:01  Germany DKMS - Portugal minority 0.12801,176
 76  A*02-B*35-DRB1*10-DQB1*05  Mexico Puebla, Puebla city 0.12531,994
 77  A*02-B*35-DRB1*10-DQB1*05  Mexico Coahuila, Torreon 0.1250396
 78  A*31:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.11922,492
 79  A*03:01-B*35:01-C*04:01-DRB1*10:01  Germany DKMS - Romania minority 0.11401,234
 80  A*01-B*35-DRB1*10-DQB1*05  Mexico Nuevo Leon Rural 0.1136439
 81  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.10085,829
 82  A*11:01-B*35:01-C*07:01-DRB1*10:01  Italy pop 5 0.1000975
 83  A*30:02-B*35:01-C*16:01-DRB1*10:01  Italy pop 5 0.1000975
 84  A*02:02-B*35:08-DRB1*10:01  Israel Druze 0.09855,914
 85  A*24:02-B*35:03-C*12:03-DRB1*10:01-DQB1*05:01  India Central UCBB 0.09784,204
 86  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India South UCBB 0.095511,446
 87  A*02:02-B*35:02-DRB1*10:01  Israel Bukhara Jews 0.09412,317
 88  A*01:01-B*35:01-DRB1*10:01  Israel USSR Jews 0.091745,681
 89  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India West UCBB 0.09005,829
 90  A*33:03-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  USA African American pop 4 0.08702,411
 91  A*02:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Italy minority 0.08601,159
 92  A*26:01-B*35:01-DRB1*10:01  Israel Kavkazi Jews 0.08342,840
 93  A*11:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India North UCBB 0.08275,849
 94  A*31:08-B*35:08-DRB1*10:01  Israel Druze 0.08245,914
 95  A*01:01-B*35:08-C*04:01-DRB1*10:01  Germany DKMS - Romania minority 0.08101,234
 96  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.08092,492
 97  A*03:01-B*35:03-C*04:01-DRB1*10:01-DQB1*05:01  India East UCBB 0.08082,403
 98  A*03:01-B*35:01-C*04:01-DRB1*10:01-DQB1*05:01  Germany DKMS - Turkey minority 0.07904,856
 99  A*02-B*35-DRB1*10:01-DQA1*01:01-DQB1*05:02  Brazil Paraná Caucasian 0.0780641
 100  A*68-B*35-DRB1*10:01-DQA1*01:01-DQB1*05:01  Brazil Paraná Caucasian 0.0780641

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 523) records   Pages: 1 2 3 4 5 6 of 6  


   

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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