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 97 (from 97) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*66:01-B*41:01-C*17:01-DRB1*07:01  Brazil Vale do Ribeira Quilombos 1.3889144
 2  A*30:04:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*665:01  South African Black 0.7040142
 3  A*01:01:01-B*41:01-C*17:01:01-DRB1*07:01:01-DQB1*03:03:02-DPB1*04:02:01  Saudi Arabia pop 6 (G) 0.643328,927
 4  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.43545,849
 5  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 6  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 7  B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo population 0.3497143
 8  A*68:02-B*41:01-C*17:01-DRB1*07:01-DQA1*03:01-DQB1*02:02-DPB1*03:01  South Africa Worcester 0.3000159
 9  A*68:27-B*41:01-C*17:01-DRB1*07:01-DQA1*04:01-DQB1*02:02-DPB1*04:01  South Africa Worcester 0.3000159
 10  A*01:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 11  A*31:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02-DPB1*02:01  Panama 0.1900462
 12  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.17844,204
 13  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.15404,856
 14  A*24:02:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  India Kerala Malayalam speaking 0.1400356
 15  A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Italy pop 5 0.1400975
 16  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.12901,159
 17  A*02:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Greece minority 0.11601,894
 18  A*01:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Netherlands minority 0.10901,374
 19  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 20  A*69:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03  USA Hispanic pop 2 0.09401,999
 21  A*02:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Spain minority 0.09001,107
 22  A*23:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Austria minority 0.08801,698
 23  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.08585,829
 24  A*02:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Portugal minority 0.08501,176
 25  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 26  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 27  A*23:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.06621,510
 28  A*02:01-B*41:01-C*17:01-DRB1*07:01  Poland DKMS 0.056520,653
 29  A*31:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03-DPB1*04:02  Russia Karelia 0.05651,075
 30  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.053323,595
 31  A*24:07-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Malay 0.0526951
 32  A*02:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Bosnia and Herzegovina minority 0.04901,028
 33  A*03:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - United Kingdom minority 0.04801,043
 34  A*68:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - United Kingdom minority 0.04801,043
 35  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 36  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.04405,829
 37  A*02:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Netherlands minority 0.04301,374
 38  A*30:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 39  A*30:04-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.04301,159
 40  A*31:06-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.04295,829
 41  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.04104,856
 42  A*23:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - China minority 0.03901,282
 43  A*33:03-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - China minority 0.03901,282
 44  A*01:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - France minority 0.03601,406
 45  A*11:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Netherlands minority 0.03601,374
 46  A*23:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - France minority 0.03601,406
 47  A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.03435,849
 48  A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.03425,849
 49  A*02:22-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 50  A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*03:02  Colombia Bogotá Cord Blood 0.03421,463
 51  A*69:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 52  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 53  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 54  A*03:01:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 55  A*24:02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 56  A*24:02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02  Russia Nizhny Novgorod, Russians 0.03311,510
 57  A*01:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Greece minority 0.02601,894
 58  A*23:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Greece minority 0.02601,894
 59  A*02:01-B*41:01-C*17:01-DRB1*07:01  Germany DKMS - Croatia minority 0.02402,057
 60  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.021811,446
 61  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.02104,856
 62  A*23:01-B*41:01-C*17:01-DRB1*07:01  Poland DKMS 0.020920,653
 63  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 64  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 65  A*29:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 66  A*02:02-B*41:01-C*17:01-DRB1*07:01  Poland DKMS 0.019320,653
 67  A*23:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03  India North UCBB 0.01735,849
 68  A*31:06-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.01715,849
 69  A*23:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.014723,595
 70  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03-DPB1*14:01  Germany DKMS - German donors 0.01303,456,066
 71  A*02:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 72  A*11:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 73  A*32:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 74  A*33:03-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India Central UCBB 0.01194,204
 75  A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*03:03  Germany DKMS - Turkey minority 0.01004,856
 76  A*33:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 77  A*03:01-B*41:01-C*17:01-DRB1*07:01  Poland DKMS 0.009520,653
 78  A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.008711,446
 79  A*02:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India West UCBB 0.00865,829
 80  A*01:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 81  A*03:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 82  A*26:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 83  A*30:01-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India North UCBB 0.00855,849
 84  A*24:02-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 85  A*24:03-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 86  A*24:07-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 87  A*24:10-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 88  A*24:17-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 89  A*24:32-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 90  A*24:55-B*41:01-C*17:01-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00572,492
 91  A*02:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.005223,595
 92  A*31:06-B*41:01-C*17:01-DRB1*07:01-DQB1*02:02  India South UCBB 0.004411,446
 93  A*24:02-B*41:01-C*17:01-DRB1*07:01  Poland DKMS 0.003620,653
 94  A*25:01-B*41:01-C*17:01-DRB1*07:01  Poland DKMS 0.002420,653
 95  A*01:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 96  A*26:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 97  A*68:01:01-B*41:01:01-C*17:01:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.001823,595

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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