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 167) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:61-B*35:01-DRB1*13:01-DQB1*06:03  Iran Saqqez-Baneh Kurds 0.833360
 2  A*33:03-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Northeast UCBB 0.6757296
 3  A*02:01-B*35:01-DRB1*13:01-DQB1*06:03  Mexico Veracruz Xalapa 0.595284
 4  A*11:01-B*35:01-DRB1*13:01-DQB1*06:03  Iran Tabriz Azeris 0.515597
 5  A*24:02-B*35:01-DRB1*13:01-DQB1*06:03  Iran Tabriz Azeris 0.515597
 6  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 7  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.4700215
 8  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQA1*01:01:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 9  A*11:01:01-B*35:01:01-C*06:02:01-DRB1*13:01:01-DQA1*05:05:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 10  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  Sri Lanka Colombo 0.4202714
 11  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 12  A*02:01:01-B*35:01:01-C*16:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*02:01:01-DPB1*01:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 13  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.29962,403
 14  A*01:01:01-B*35:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01  India Karnataka Kannada Speaking 0.2870174
 15  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  India Andhra Pradesh Telugu Speaking 0.2688186
 16  A*03:01:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Bashkortostan, Tatars 0.2604192
 17  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 18  A*23:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 19  A*29:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 20  A*30:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 21  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.216811,446
 22  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  Nicaragua Managua 0.2165339
 23  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.20124,204
 24  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.19995,829
 25  A*02:01-B*35:01-C*16:01-DRB1*13:01-DQB1*06:03-DPB1*01:01  Panama 0.1900462
 26  A*03:01-B*35:01-C*07:08-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Indian 0.1845271
 27  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.17801,772
 28  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.15781,075
 29  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.15004,856
 30  A*68:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.14492,403
 31  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*13:01  Sri Lanka Colombo 0.1401714
 32  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.14001,999
 33  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Italy pop 5 0.1400975
 34  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.13101,075
 35  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.12561,075
 36  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.11985,849
 37  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*13:01  Russia Karelia 0.11291,075
 38  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.10762,492
 39  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 40  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.09885,849
 41  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.09295,829
 42  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 43  A*31:01-B*35:01-C*14:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 44  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.082511,446
 45  A*24:02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.07811,510
 46  A*26:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.07755,829
 47  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.07672,492
 48  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.07204,856
 49  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*04:02  Sri Lanka Colombo 0.0700714
 50  A*26:01-B*35:01-C*08:01-DRB1*13:01-DQA1*01:01-DQB1*06:03-DPB1*04:01  Sri Lanka Colombo 0.0700714
 51  A*32:01-B*35:01-C*04:01-DRB1*13:01-DQA1*03:01-DQB1*06:03-DPB1*09:01  Sri Lanka Colombo 0.0700714
 52  A*33:03-B*35:01-C*03:03-DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*17:01  Sri Lanka Colombo 0.0700714
 53  A*33:03-B*35:01-C*04:01-DRB1*13:01-DQA1*01:01-DQB1*06:03-DPB1*15:01  Sri Lanka Colombo 0.0700714
 54  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.06982,492
 55  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 56  A*29:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 57  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.06804,204
 58  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.06375,849
 59  A*68:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.06104,204
 60  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.058011,446
 61  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.057923,595
 62  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.05671,075
 63  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.05452,403
 64  A*32:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.05404,856
 65  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 66  A*33:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 67  A*68:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.05115,829
 68  A*24:02-B*35:01-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.04882,492
 69  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.048823,595
 70  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Central UCBB 0.04784,204
 71  A*32:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 72  A*68:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 73  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.044123,595
 74  A*02:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 75  A*30:01-B*35:01-C*03:03-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.04401,772
 76  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.04401,772
 77  A*34:02-B*35:01-C*16:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 78  A*02:01-B*35:01-C*01:02-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 79  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.04304,856
 80  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 81  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.04162,403
 82  A*03:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India East UCBB 0.04162,403
 83  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.041011,446
 84  A*32:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.04085,829
 85  A*33:03-B*35:01-C*12:03-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.04012,492
 86  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India West UCBB 0.03965,829
 87  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.03785,849
 88  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 89  A*26:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 90  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 91  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 92  A*11:05-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 93  A*01:01:01:01-B*35:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 94  A*02:01:01:01-B*35:01:01-C*04:01:01:05-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 95  A*02:01:09-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 96  A*24:02:01:01-B*35:01:01-C*08:01:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 97  A*32:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India North UCBB 0.03195,849
 98  A*11:02:01-B*35:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  China Zhejiang Han 0.02881,734
 99  A*26:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India South UCBB 0.027211,446
 100  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.026923,595

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).


Displaying 1 to 100 (from 167) 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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