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 100 (from 6,926) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 70  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  B*35-C*12:03  Pakistan Burusho 9.700092
 2  A*11:01:01-C*12:03:01  China Jingpo Minority 8.9570105
 3  B*35-C*12:03  Pakistan Kalash 8.600069
 4  B*15:32:01-C*12:03:01  China Jingpo Minority 8.3330105
 5  A*02-B*35-C*12:03  Pakistan Kalash 7.900069
 6  A*24-B*35-C*12:03  Pakistan Burusho 6.600092
 7  A*11:01:01-B*15:32:01-C*12:03:01  China Jingpo Minority 5.8950105
 8  A*11:01:01-C*12:03:01-DRB1*15:04  China Jingpo Minority 4.1060105
 9  A*01-B*18-C*12:03  Pakistan Karachi Parsi 3.300091
 10  B*38:01-C*12:03  Tunisia 3.0000100
 11  A*11:01-B*15:32-C*12:03-DRB1*15:04  China Yunnan Hani 2.7000150
 12  B*15:32:01-C*12:03:01-DRB1*12:02:01  China Jingpo Minority 2.6040105
 13  A*03:01-C*12:03  Tunisia 2.5000100
 14  B*38:01-C*12:03  USA Caucasian pop 2 2.5000265
 15  A*11:01:01-C*12:03:01-DRB1*12:02:01  China Jingpo Minority 2.4990105
 16  A*02:01-C*12:03  Italy pop 5 2.4800975
 17  A*11:01:01-B*15:01:01-C*12:03:01  China Jingpo Minority 2.4750105
 18  B*15:01:01-C*12:03:01  China Jingpo Minority 2.4510105
 19  A*02:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Brazil Puyanawa 2.3333150
 20  A*24:03-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia North Chimila Amerindians 2.127747
 21  A*11:01:01-B*15:32:01-C*12:03:01-DRB1*12:02:01  China Jingpo Minority 2.0830105
 22  A*11:01:01-B*15:32:01-C*12:03:01-DRB1*15:04  China Jingpo Minority 2.0830105
 23  B*15:32:01-C*12:03:01-DRB1*15:04  China Jingpo Minority 2.0830105
 24  A*33:03:01-B*40:01:02-C*12:03:01  South African Indian population 2.000050
 25  A*24:02-B*39:01-C*12:03-DRB1*12:01  Russia Bering Island Aleuts 1.9231104
 26  A*25:01-B*18:01-C*12:03-DRB1*15:01  Russia Bering Island Aleuts 1.9231104
 27  A*26:01-B*38:01-C*12:03-DRB1*13:01-DQB1*06:03  Colombia North Wiwa El Encanto 1.923152
 28  A*25:01-B*18:01-C*12:03  USA San Francisco Caucasian 1.9000220
 29  B*38:01-C*12:03  USA Hispanic pop 2 1.85601,999
 30  A*25:01-B*18:01-C*12:03  Ireland South 1.8000250
 31  B*18:01-C*12:03  Italy pop 5 1.7600975
 32  B*38:01-C*12:03  Italy pop 5 1.7600975
 33  A*26:01-B*38:01-C*12:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*01:03-DQB1*06:03  Portugal Azores Terceira Island 1.7544130
 34  A*11:01:01-B*40-C*12:03:01-DRB1*04:05:01-DQB1*04:01-DPB1*05:01  China Yunnan Province Nu 1.7000107
 35  A*26:01-B*38:01-C*12:03  USA Caucasian pop 2 1.7000265
 36  A*24:02-C*12:03  Italy pop 5 1.6400975
 37  A*11:01:01-B*15:01:01-C*12:03:01-DRB1*15:04  China Jingpo Minority 1.5620105
 38  B*15:01:01-C*12:03:01-DRB1*15:04  China Jingpo Minority 1.5620105
 39  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  Poland 1.5000200
 40  A*01:01:01-B*42:01:01-C*12:03:01-DRB1*03:01:01-DQB1*04:02:01-DPA1*02:02:02-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 41  A*02:01:01-B*15:18:01-C*12:03:01-DRB1*12:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 42  A*03:01:01-B*51:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 43  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*02:02:02-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 44  A*26:01:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Black 1.470668
 45  A*02:01:01-B*51:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 1.4000215
 46  A*25:01-B*18:01-C*12:03-DRB1*15:01  Poland DKMS 1.303920,653
 47  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Bashkortostan, Tatars 1.3021192
 48  B*18:01-C*12:03  USA Caucasian pop 2 1.3000265
 49  B*18:01-C*12:03  USA North American Native 1.3000187
 50  B*38:01-C*12:03  USA Hispanic 1.3000234
 51  B*39:01-C*12:03  Italy pop 5 1.3000975
 52  B*38:01-C*12:03  Mexico Mexico City Mestizo pop 2 1.2800234
 53  A*26:01-B*38:01-C*12:03  Italy pop 5 1.2600975
 54  A*25:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 1.223923,595
 55  A*02:01-B*38:01-C*12:03-DRB1*04:02-DQA1*03:01-DQB1*03:02  Kosovo 1.2100124
 56  A*03:01-B*38:01-C*12:03-DRB1*13:01-DQA1*01:03-DQB1*06:03  Kosovo 1.2100124
 57  B*18:01-C*12:03  USA Hispanic pop 2 1.20101,999
 58  A*26:01-B*38:01-C*12:03  USA San Francisco Caucasian 1.2000220
 59  B*18:01-C*12:03  Uganda Kampala 1.2000161
 60  B*39:01-C*12:03  Uganda Kampala 1.2000161
 61  B*39:01-C*12:03  USA African American 1.2000252
 62  A*11-B*38-C*12:03-DRB1*13-DQB1*06  Russia North Ossetian 1.1800127
 63  A*25:01:01-B*18:01:01-C*12:03:01:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 1.16861,510
 64  A*03:01-B*18:01-C*12:03-DRB1*11:04-DQB1*03:01  India North UCBB 1.12205,849
 65  A*03:01-B*38:01-C*12:03  China Canton Han 1.1000264
 66  B*18:01-C*12:03  USA Hispanic 1.1000234
 67  B*38:01-C*12:03  USA North American Native 1.1000187
 68  A*01:01-C*12:03  Italy pop 5 1.0800975
 69  B*38:01-C*12:03  Mexico Mexico City Mestizo population 1.0490143
 70  B*15:07-C*12:03:01-DRB1*12:02:01  China Jingpo Minority 1.0420105
 71  B*15:32:01-C*12:03:01-DRB1*04:05:01  China Jingpo Minority 1.0420105
 72  A*26:01-C*12:03  Italy pop 5 1.0400975
 73  A*24:02:01-B*15:32:01-C*12:03:01  China Jingpo Minority 1.0350105
 74  A*11:01:01-C*12:03:01-DRB1*14:04  China Jingpo Minority 1.0310105
 75  A*11:01:01-C*12:03:01-DRB1*15:01:01  China Jingpo Minority 1.0310105
 76  A*02:03:01-C*12:03:01  China Jingpo Minority 1.0280105
 77  A*25:01-B*18:01-C*12:03-DRB1*15:01  Germany DKMS - Croatia minority 1.00202,057
 78  A*02:01:01-B*35:03:01-C*12:03:01  South African Mixed ancestry 1.000050
 79  A*02:01:01-B*37:01:01-C*12:03:01  South African Indian population 1.000050
 80  A*02:01:01-B*38:01:01-C*12:03:01  South African Mixed ancestry 1.000050
 81  A*03:02:01-B*35:03:01-C*12:03:01  South African Indian population 1.000050
 82  A*24:02:01-B*35:03:01-C*12:03:01  South African Indian population 1.000050
 83  A*24:02:01-B*41:01:01-C*12:03:01  South African Indian population 1.000050
 84  A*24:02:01-B*58:01:01-C*12:03:01  South African Mixed ancestry 1.000050
 85  A*25:01:01-B*39:10:01-C*12:03:01  South African Mixed ancestry 1.000050
 86  A*25:01-B*18:01-C*12:03-DRB1*13:01-DQB1*06:03  Poland 1.0000200
 87  A*25:01-B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  Ireland South 1.0000250
 88  A*30:02:01-B*40:01:02-C*12:03:01  South African Mixed ancestry 1.000050
 89  A*68:01:01-B*15:10:01-C*12:03:01  South African Indian population 1.000050
 90  A*68:01:02-B*44:03:02-C*12:03:01  South African Mixed ancestry 1.000050
 91  B*18:01-C*12:03-DRB1*15:01-DQB1*06:02  Ireland South 1.0000250
 92  B*39:10-C*12:03  Kenya Nandi 1.0000240
 93  A*11:01:01-B*15:07-C*12:03:01  China Jingpo Minority 0.9900105
 94  A*68:02:01-B*39:10:01-C*12:03:01-DRB1*07:01  Costa Rica African -Caribbean (G) 0.9804102
 95  B*15:07-C*12:03:01  China Jingpo Minority 0.9800105
 96  A*03:01-B*39:01-C*12:03-DRB1*16:01-DQB1*05:02  Colombia North Wiwa El Encanto 0.961552
 97  A*26:01-B*38:01-C*12:03-DRB1*13:01  Russia Bering Island Aleuts 0.9615104
 98  A*01:03-B*40:06-C*12:03-DRB1*03:01-DQA1*05:01-DQB1*02:01  United Arab Emirates Abu Dhabi 0.960052
 99  A*24:02-B*35:02-C*12:03-DRB1*11:04-DQA1*05:05-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052
 100  A*24:03-B*58:02-C*12:03-DRB1*11:02-DQA1*05:05-DQB1*03:01  United Arab Emirates Abu Dhabi 0.960052

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 6,926) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 70  


   

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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