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 93 (from 93) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 2  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Iran Gorgan 0.780064
 3  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Malaysia Peninsular Indian 0.5535271
 4  A*03:01-B*50:01-C*06:02-E*01:01:01-F*01:03:01-G*01:04-DRB1*13:02-DQA1*04:01-DQB1*06:04:01  Portugal Azores Terceira Island 0.4386130
 5  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India South UCBB 0.354111,446
 6  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.34702,492
 7  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 8  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  India Andhra Pradesh Telugu Speaking 0.2688186
 9  A*03:01:01:01-B*50:01:01-C*06:02:01:01-DRB1*04:06:02-DQB1*04:02:01  Russia Bashkortostan, Tatars 0.2604192
 10  A*03:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*04:01:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 11  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India West UCBB 0.20425,829
 12  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*13:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 13  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 14  A*03:01-B*50:01-C*06:02-DRB1*07:01  Germany DKMS - Austria minority 0.17701,698
 15  A*03:01-B*50:01-C*06:02-DRB1*07:01  Germany DKMS - France minority 0.17001,406
 16  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.164128,927
 17  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*04:06:01-DQB1*04:02:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.155728,927
 18  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:10  India Kerala Malayalam speaking 0.1400356
 19  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 20  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India North UCBB 0.13365,849
 21  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Asian pop 2 0.13301,772
 22  A*03:01-B*50:01-C*06:02-DRB1*11:01  Germany DKMS - Portugal minority 0.12801,176
 23  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 0.12201,999
 24  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.106628,927
 25  A*03:01:01-B*50:01:01-C*06:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 26  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India Central UCBB 0.07364,204
 27  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.07104,856
 28  A*03:01:01:01-B*50:01:01-C*06:02:01:02-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.06621,510
 29  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.06504,856
 30  A*03:01-B*50:01-C*06:02-DRB1*07:01  Poland DKMS 0.059520,653
 31  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India North UCBB 0.05945,849
 32  A*03:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India Tamil Nadu 0.05042,492
 33  A*03:01-B*50:01-C*06:02  Italy pop 5 0.0500975
 34  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India Central UCBB 0.04684,204
 35  A*03:01-B*50:01-C*06:02-DRB1*10:01  Germany DKMS - Spain minority 0.04501,107
 36  A*03:01-B*50:01-C*06:02-DRB1*03:02-DQB1*04:02  USA African American pop 4 0.04402,411
 37  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA African American pop 4 0.04402,411
 38  A*03:01-B*50:01-C*06:02-DRB1*13:03-DQB1*03:01  USA African American pop 4 0.04402,411
 39  A*03:01-B*50:01-C*06:02-DRB1*01:02-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 40  A*03:01-B*50:01-C*06:02-DRB1*04:07  Germany DKMS - Romania minority 0.04101,234
 41  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:05  India Tamil Nadu 0.04012,492
 42  A*03:01-B*50:01-C*06:02-DRB1*14:04-DQB1*05:03  India South UCBB 0.037111,446
 43  A*03:01-B*50:01-C*06:02-DRB1*08:01  Germany DKMS - France minority 0.03601,406
 44  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 45  A*03:01-B*50:01-C*06:02-DRB1*04:06-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 46  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 47  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India South UCBB 0.031011,446
 48  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 49  A*03:01-B*50:01-C*06:02-DRB1*04:08  Germany DKMS - Austria minority 0.02901,698
 50  A*03:01-B*50:01-C*06:02-DRB1*13:02  Germany DKMS - Austria minority 0.02901,698
 51  A*03:01-B*50:01-C*06:02-DRB1*11:04  Germany DKMS - Greece minority 0.02701,894
 52  A*03:01-B*50:01-C*06:02-DRB1*07:01  Germany DKMS - Greece minority 0.02601,894
 53  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.02423,456,066
 54  A*03:01-B*50:01-C*06:02-DRB1*10:01  Germany DKMS - Croatia minority 0.02402,057
 55  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.022323,595
 56  A*03:01-B*50:01-C*06:02-DRB1*15:01-DQB1*05:02  Germany DKMS - Turkey minority 0.02104,856
 57  A*03:01-B*50:01-C*06:02-DRB1*10:01-DQB1*05:01  India Tamil Nadu 0.02092,492
 58  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India East UCBB 0.02082,403
 59  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:02  India East UCBB 0.02082,403
 60  A*03:01-B*50:01-C*06:02-DRB1*14:04-DQB1*05:03  India Tamil Nadu 0.02012,492
 61  A*03:01-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India West UCBB 0.01755,829
 62  A*03:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India Central UCBB 0.01704,204
 63  A*03:01-B*50:01-C*06:02-DRB1*03:01-DQB1*02:01  India West UCBB 0.01575,829
 64  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.01383,456,066
 65  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:121  India Central UCBB 0.01194,204
 66  A*03:01-B*50:01-C*06:02-DRB1*11:01-DQB1*03:01  India South UCBB 0.011811,446
 67  A*03:01-B*50:01-C*06:02-DRB1*13:01-DQB1*06:03  India South UCBB 0.010611,446
 68  A*03:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India Tamil Nadu 0.00962,492
 69  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*03:03  India South UCBB 0.009411,446
 70  A*03:01-B*50:01-C*06:02-DRB1*04:03-DQB1*03:02  India South UCBB 0.008911,446
 71  A*03:01-B*50:01-C*06:02-DRB1*01:01-DQB1*05:01  India South UCBB 0.008611,446
 72  A*03:01-B*50:01-C*06:02-DRB1*12:02-DQB1*03:01  India West UCBB 0.00865,829
 73  A*03:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India West UCBB 0.00865,829
 74  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.00851,463
 75  A*03:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:02  India Tamil Nadu 0.00692,492
 76  A*03:01-B*50:01-C*06:02-DRB1*03:01  Poland DKMS 0.006020,653
 77  A*03:01-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India North UCBB 0.00585,849
 78  A*03:01-B*50:01-C*06:02-DRB1*07:01  Japan pop 16 0.005018,604
 79  A*03:01-B*50:01-C*06:02-DRB1*15:01-DQB1*06:01  India South UCBB 0.004911,446
 80  A*03:01-B*50:01-C*06:02-DRB1*04:05-DQB1*05:02  India South UCBB 0.004411,446
 81  A*03:01-B*50:01-C*06:02-DRB1*04:88-DQB1*03:02  India South UCBB 0.004411,446
 82  A*03:01-B*50:01-C*06:02-DRB1*15:06-DQB1*05:02  India South UCBB 0.004411,446
 83  A*03:01-B*50:01-C*06:02-DRB1*15:02-DQB1*06:01  India Tamil Nadu 0.00402,492
 84  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.003523,595
 85  A*03:01-B*50:01-C*06:02-DRB1*14:01  Poland DKMS 0.003220,653
 86  A*03:01-B*50:01-C*06:02-DRB1*01:02  Poland DKMS 0.002420,653
 87  A*03:01-B*50:01-C*06:02-DRB1*04:03  Poland DKMS 0.002420,653
 88  A*03:01-B*50:01-C*06:02-DRB1*13:03  Poland DKMS 0.002420,653
 89  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*04:03:01-DQB1*03:05:01  Poland BMR 0.002123,595
 90  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 91  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.001923,595
 92  A*03:01:01-B*50:01:01-C*06:02:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.001423,595
 93  A*03:01-B*50:01-C*06:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.001111,446

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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