Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

Please specify your search by selecting options from boxes. Then, click "Search" to find HLA Haplotype frequencies that match your criteria. Remember at least one option must be selected.
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 1,100) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*01:03-DPB1*03:01  France Ceph 12.1000124
 2  DRB1*12:02:01-DPB1*03:01:01  Taiwan Orchid Island Yami 8.000050
 3  DPA1*01:03-DPB1*03:01  Russia Tuva pop 2 7.0000169
 4  DRB1*14:05-DPB1*03:01:01  Taiwan Atayal pop 2 6.700050
 5  DPA1*01:03-DPB1*03:01  India Bombay 5.900059
 6  DPA1*01:03-DPB1*03:01  Uganda Baganda 4.300047
 7  DRB1*07:01-DQA1*02:01-DPA1*01:03-DPB1*03:01  Spain Catalonia Girona 4.200088
 8  DRB1*14:01:01-DQB1*05:02:01-DPB1*03:01:01  China Yunnan Province Bai 4.2000128
 9  DPA1*01:03-DPB1*03:01  Gambia 3.8000146
 10  DPA1*01:03-DPB1*03:01  Papua New Guinea Highland pop2 3.800028
 11  DPA1*01:03-DPB1*03:01  Cameroon Saa 3.2000172
 12  A*33:01:01-B*55:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Barra Mansa Rio State Black 2.381073
 13  DRB1*11:01-DPA1*01-DPB1*03:01  Mongolia Tarialan Khoton 2.200085
 14  DRB1*11:01-DPA1*01-DPB1*03:01  Mongolia Ulaanbaatar Khalkha 2.200041
 15  DRB1*12:02:01-DPB1*03:01:01  Taiwan Bunun pop 2 2.100050
 16  DPA1*01:03:01-DPB1*03:01  Cook Islands 2.000050
 17  DRB1*04:10-DQB1*04:02-DPB1*03:01:01  China Lijiang Naxi 1.8000100
 18  DRB1*16:02:01-DQB1*05:02-DPB1*03:01:01  China Lijiang Naxi 1.8000100
 19  DRB1*03:01-DQB1*02:01-DPB1*03:01  Ireland South 1.7000250
 20  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*03:01  China Canton Han 1.7000264
 21  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*15:01:01-DQA1*01:02:01-DQB1*06:02-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 1.6807119
 22  DPA1*01:03-DPB1*03:01  Spain Navarre Basques 1.6000116
 23  DRB1*15:01-DQB1*06:02-DPB1*03:01  Ireland South 1.6000250
 24  A*01:01:01-B*08:01:01-C*04:01:01-DRB1*03:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 25  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
 26  A*02:01:01-B*52:01:02-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*03:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 27  A*11:01:01-B*58:01:01-C*01:02:01-DRB1*13:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 28  A*24:02:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 29  A*31:01:02-B*27:05:02-C*01:02:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 30  DRB1*07:01:01:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 1.2680496
 31  DPA1*02:02:02-DPB1*03:01  Japan Fukuoka 1.200086
 32  DRB1*04:07-DQB1*03:01-DPB1*03:01  Ireland South 1.2000250
 33  A*68:02-B*53:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 1.1182336
 34  DRB1*04:01-DQB1*03:02-DPB1*03:01  Ireland South 1.1000250
 35  DRB1*07:01-DQA1*02:01-DQB1*02:01-DPB1*03:01  China Canton Han 1.1000264
 36  DRB1*07:01-DQB1*02:02-DPB1*03:01  Ireland South 1.1000250
 37  DRB1*12:02:01-DPB1*03:01:01  Taiwan Puyuma pop 2 1.100050
 38  DRB1*14:05-DPB1*03:01:01  Taiwan Ami pop 2 1.100050
 39  DQB1*02:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 1.0210496
 40  DPA1*01:03:01-DPB1*03:01  Tokelau 1.000050
 41  DPA1*01:03:01-DPB1*03:01  Tonga 1.000050
 42  DRB1*11:01-DQB1*03:01-DPB1*03:01  Greece pop3 1.0000246
 43  DRB1*13:01-DQB1*06:03-DPB1*03:01  Ireland South 1.0000250
 44  DRB1*14:05-DPB1*03:01:01  Taiwan Tsou pop 2 1.000050
 45  DQB1*03:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.9900496
 46  A*02:01-B*41:01-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Tanzania Maasai 0.9585336
 47  A*68:03-B*35:43-C*01:02-DRB1*04:10-DQA1*03:01-DQB1*04:02-DPB1*03:01  Nicaragua Managua 0.8658339
 48  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01:01  Russian Federation Vologda Region 0.8403119
 49  A*03:01-B*52:01:01-C*12:02:02-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.8403119
 50  DQB1*02:02-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.8180496
 51  A*01:01-B*45:01-C*06:02-DRB1*13:02-DQB1*06:04-DPB1*03:01  Tanzania Maasai 0.7987336
 52  A*02:01-B*47:03-C*07:01-DRB1*13:02-DQB1*06:09-DPB1*03:01  Tanzania Maasai 0.7987336
 53  A*03:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*03:01  USA San Diego 0.7810496
 54  A*33:03-B*58:01-C*03:02-DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*03:01  Sri Lanka Colombo 0.7703714
 55  DRB1*04:05:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.7660496
 56  A*02:01-B*41:02-C*17:01-DRB1*13:03-DQB1*03:01-DPB1*03:01  Russia Karelia 0.76041,075
 57  DRB1*07:01:01:01-DQB1*02:02-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.7360496
 58  DRB1*09:01:02-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.7320496
 59  A*68:02:01-B*53:01:01-C*04:01:01-DRB1*04:01:01-DQB1*03:02:01-DPB1*03:01:01  South African Black 0.7040142
 60  A*23:01:01-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) 0.667628,927
 61  DRB1*10:01-DQB1*05:01-DPB1*03:01  Gambia pop 3 0.6548939
 62  A*01:01:01-B*18:01:01-C*12:03:01-DRB1*13:01:01-DQA1*03:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.6536153
 63  A*01:01:01-B*40:01:02-C*03:04:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01:01  Russia Belgorod region 0.6536153
 64  A*02:01:01-B*35:02:01-C*06:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.6536153
 65  A*02:01:01-B*51:01:01-C*04:01:01-DRB1*04:02:01-DQA1*05:05:01-DQB1*03:02-DPA1*01:03:01-DPB1*03:01  Russia Belgorod region 0.6536153
 66  DQA1*06:01-DQB1*03:01-DPA1*01:03-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.65021,064
 67  A*68:02-B*07:02-C*15:05-DRB1*03:01-DQB1*02:01-DPB1*03:01  Tanzania Maasai 0.6390336
 68  DQA1*03:03-DQB1*04:01-DPA1*01:03-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.61291,064
 69  DQB1*04:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.6030496
 70  A*02:01-B*07:02-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  South Africa Worcester 0.6000159
 71  A*68:02-B*15:10-C*08:04-DRB1*11:01-DQA1*01:02-DQB1*06:02-DPB1*03:01  South Africa Worcester 0.6000159
 72  A*02:05:01-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) 0.599428,927
 73  DQB1*06:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.5930496
 74  A*02:01:01-B*15:01:01-C*04:01:01-DRB1*15:03:01-DQB1*04:02:01-DPA1*03:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 75  A*03:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 76  A*03:01:01-B*35:01:01-C*03:02:02-DRB1*11:01:02-DQB1*03:19:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 77  A*03:01:01-B*39:10:01-C*15:02:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:02:02-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 78  A*23:01:01-B*38:01:01-C*12:03:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 79  A*24:02:01-B*07:02:01-C*02:02:02-DRB1*13:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 80  A*33:01:01-B*57:01:01-C*08:02:01-DRB1*07:01:01-DQB1*03:01:04-DPA1*02:01:08-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 81  A*68:01:02-B*44:03:01-C*07:02:01-DRB1*04:08:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 82  A*68:01:02-B*51:01:01-C*12:03:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Parda 0.5882170
 83  A*02:01:01-B*15:18:01-C*07:04:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 84  A*02:01-B*27:05-C*02:02-DRB1*08:01-DQB1*04:02-DPB1*03:01  Russia Karelia 0.55871,075
 85  DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.55191,064
 86  DRB1*04:05:01-DQB1*04:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.5450496
 87  DRB1*09:01:02-DQB1*03:03-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.5270496
 88  DQA1*01:02-DQB1*05:02-DPA1*01:03-DPB1*03:01  Hong Kong Chinese HKBMDR. DQ and DP 0.52401,064
 89  A*11:01-B*35:01-C*04:01-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*03:01  USA San Diego 0.5210496
 90  A*11:01-B*35:01-C*04:01-DRB1*04:07-DQA1*03:01-DQB1*03:01-DPB1*03:01  USA San Diego 0.5210496
 91  DRB1*13:02-DQB1*06:09-DPB1*03:01  Gambia pop 3 0.5210939
 92  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01  Germany DKMS - German donors 0.51493,456,066
 93  DRB1*08:03:02-DQB1*06:01-DPB1*03:01:01  China Inner Mongolia Autonomous Region Northeast 0.5040496
 94  A*01:01-B*45:01-C*06:02-DRB1*07:01-DQA1*01:02-DQB1*06:09-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 95  A*02:01-B*57:03-C*08:02-DRB1*13:02-DQA1*01:02-DQB1*05:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 96  A*36:01-B*53:01-C*16:01-DRB1*07:01-DQA1*01:02-DQB1*02:02-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 97  A*66:02-B*58:01-C*07:01-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 98  A*66:02-B*58:02-C*18:01-DRB1*13:01-DQA1*01:02-DQB1*03:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 99  A*68:02-B*18:01-C*03:04-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 100  A*74:01-B*45:01-C*04:01-DRB1*13:01-DQA1*02:01-DQB1*05:01-DPB1*03:01  Kenya, Nyanza Province, Luo tribe 0.5000100

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 1,100) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 11  


   

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.

support@allelefrequencies.net

Valid XHTML 1.0 Transitional