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 84 (from 84) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.019623,595
 2  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.07672,492
 3  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.02674,204
 4  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 5  A*01:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.05671,075
 6  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
 7  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
 8  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
 9  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
 10  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
 11  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
 12  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01104,856
 13  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 14  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.01433,456,066
 15  A*02:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:02  Germany DKMS - German donors 0.01073,456,066
 16  A*02:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA African American pop 4 0.04402,411
 17  A*02:06-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.00924,204
 18  A*02:11-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.00254,204
 19  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
 20  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
 21  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
 22  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
 23  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
 24  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 25  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.04304,856
 26  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02452,492
 27  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.04784,204
 28  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 29  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.14001,999
 30  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02613,456,066
 31  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.02583,456,066
 32  A*03:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.15781,075
 33  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
 34  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 0.4030124
 35  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
 36  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.07204,856
 37  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.20124,204
 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  Italy pop 5 0.1400975
 40  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 41  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.17801,772
 42  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*02:01  Germany DKMS - German donors 0.02023,456,066
 43  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.02003,456,066
 44  A*11:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.13101,075
 45  A*11:05-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 46  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
 47  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
 48  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
 49  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
 50  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.08601,159
 51  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.15004,856
 52  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.06982,492
 53  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.01424,204
 54  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Germany DKMS - German donors 0.01483,456,066
 55  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*04:01  Russia Karelia 0.12561,075
 56  A*24:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*13:01  Russia Karelia 0.11291,075
 57  A*24:07-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.01472,492
 58  A*25:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006023,595
 59  A*26:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.011523,595
 60  A*26:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Colombia Bogotá Cord Blood 0.03421,463
 61  A*26:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.01494,204
 62  A*29:02:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 63  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
 64  A*29:02-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 65  A*30:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 66  A*30:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01804,856
 67  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
 68  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Italy minority 0.04301,159
 69  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.06804,204
 70  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02252,492
 71  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 72  A*31:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Asian pop 2 0.04401,772
 73  A*32:01:01-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.004723,595
 74  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
 75  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
 76  A*32:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.05404,856
 77  A*32:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India Tamil Nadu 0.02032,492
 78  A*32:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999
 79  A*33:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Malaysia Peninsular Malay 0.0526951
 80  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
 81  A*68:01:02-B*35:01:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002523,595
 82  A*68:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  Germany DKMS - Turkey minority 0.01104,856
 83  A*68:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  India UCBB_Central Indian HLA 0.06104,204
 84  A*68:01-B*35:01-C*04:01-DRB1*13:01-DQB1*06:03  USA Hispanic pop 2 0.04701,999

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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