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 2,790) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*01:03-DPB1*02:01  Papua New Guinea Highland pop2 35.900028
 2  DPA1*01:03:01-DPB1*02:01:02  Tokelau 32.000050
 3  DPA1*01:03-DPB1*02:01  Russia Tuva pop 2 26.9000169
 4  DPA1*01:03:01-DPB1*02:01:02  Cook Islands 26.000050
 5  DPA1*01:03:01-DPB1*02:01:02  Tonga 24.000050
 6  DPA1*01:03-DPB1*02:01  Japan Fukuoka 19.200086
 7  DPA1*01:03:01-DPB1*02:01:02  Samoa pop2 19.000050
 8  DRB1*16:02:01-DPB1*02:01  Taiwan Orchid Island Yami 18.000050
 9  DPA1*01:03-DPB1*02:01  India Bombay 16.100059
 10  DPA1*01:03-DPB1*02:01  Ecuador African 14.700058
 11  DPA1*01:03-DPB1*02:01  Gambia 12.7000146
 12  DPA1*01:03-DPB1*02:01  Uganda Baganda 11.700047
 13  DPA1*01:03-DPB1*02:01  Cameroon Saa 11.2000172
 14  DPA1*01:03-DPB1*02:01  France Ceph 10.5000124
 15  DRB1*15-DQB1*06:02-DPB1*02:01  Congo Kinshasa Bantu 10.000090
 16  DRB1*12:02:01-DQB1*03:01:01/03:09-DPB1*02:01:02  China Yunnan Province Bai 8.2000128
 17  DRB1*11:01:01-DPB1*02:01  Taiwan Paiwan pop 2 7.600050
 18  DPA1*01:03-DPB1*02:01  Spain Navarre Basques 6.8000116
 19  DRB1*14:02-DQB1*03:01-DPB1*02:01:02  Mexico Chihuahua Tarahumara 5.700044
 20  DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 4.9170496
 21  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 11 4.4000149
 22  DRB1*11:01:01-DPB1*02:01:02  Taiwan Puyuma pop 2 4.300050
 23  DPA1*01:03-DPB1*02:01  Ecuador Cayapa 4.2000183
 24  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  South Korea pop 11 4.0000149
 25  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPB1*02:01  South Korea pop 11 3.9000149
 26  DQB1*03:03-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 3.7390496
 27  DPA1*02:02:02-DPB1*02:01  Japan Fukuoka 3.500086
 28  A*02:01:01/02:01:09-B*40:02-C*03:04-DRB1*14:02-DQB1*03:01-DPB1*02:01:02  Mexico Chihuahua Tarahumara 3.400044
 29  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 1 3.4000324
 30  DRB1*04:06-DQB1*03:02-DPB1*02:01  South Korea pop 1 3.4000324
 31  DRB1*09:01:02-DQB1*03:03-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 3.1810496
 32  DRB1*09:01:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 3.0980496
 33  DRB1*04:06-DQA1*03:01-DQB1*03:02-DPB1*02:01  South Korea pop 2 3.0000207
 34  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPB1*02:01  South Korea pop 1 2.9000324
 35  DRB1*09:01-DQB1*03:03-DPB1*02:01  Mongolia Tarialan Khoton 2.900085
 36  DRB1*04:05-DPA1*01-DPB1*02:01  Mongolia Tarialan Khoton 2.800085
 37  DRB1*09:01-DQB1*03:03-DPB1*02:01  South Korea pop 1 2.8000324
 38  DRB1*09:01-DPA1*01-DPB1*02:01  Mongolia Tarialan Khoton 2.700085
 39  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Korea pop 2 2.7000207
 40  A*11:01:01-B*15:25-C*04:03-DRB1*15:01:01-DQB1*05:02:01-DPB1*02:01:02  China Yunnan Province Nu 2.6000107
 41  A*11:03-B*52:01:01-C*07:02:01-DRB1*11:06-DQB1*03:01:01-DPB1*02:01:02  China Yunnan Province Nu 2.6000107
 42  DRB1*12:02:01-DQB1*03:01:01-DPB1*02:01:02  China Lijiang Naxi 2.6000100
 43  DRB1*15:01-DQB1*06:02-DPB1*02:01  South Korea pop 1 2.6000324
 44  DQB1*03:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 2.5840496
 45  DRB1*15:01:01:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 2.5040496
 46  DRB1*09:01:02-DQA1*03:02-DQB1*03:03:02-DPB1*02:01  South Korea pop 2 2.5000207
 47  DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:01  China Canton Han 2.5000264
 48  DRB1*04:05-DQB1*04:01-DPB1*02:01  Mongolia Tarialan Khoton 2.400085
 49  DRB1*09:01-DPA1*01-DPB1*02:01  Mongolia Ulaanbaatar Khalkha 2.400041
 50  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  South Korea pop 1 2.4000324
 51  A*23:01:01-B*41:01:01-C*06:02:01-DRB1*12:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Black 2.381073
 52  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*04:05:01-DQB1*06:04:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Black 2.381073
 53  DRB1*11:01-DQB1*03:01-DPB1*02:01  Greece pop3 2.3000246
 54  DRB1*13:01-DQB1*06:03-DPB1*02:01  Greece pop3 2.3000246
 55  DRB1*13:02-DQB1*06:05-DPB1*02:01  South Korea pop 1 2.3000324
 56  DRB1*16:01-DQB1*05:02-DPB1*02:01  Greece pop3 2.3000246
 57  DQB1*02:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 2.2100496
 58  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  China Canton Han 2.2000264
 59  DRB1*11:01:01-DPB1*02:01:02  Taiwan Saisiat pop 2 2.200050
 60  DRB1*13:02-DQA1*01:02-DQB1*06:05-DPB1*02:01  South Korea pop 1 2.2000324
 61  DRB1*16:02:01-DPB1*02:01:02  Taiwan Saisiat pop 2 2.200050
 62  DRB1*13:02-DQA1*01:02-DQB1*06:09-DPB1*02:01  South Korea pop 11 2.1000149
 63  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  USA San Francisco Caucasian 2.1000220
 64  DRB1*15:01-DRB5*01:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  USA San Francisco Caucasian 2.1000220
 65  DQB1*05:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 2.0360496
 66  DRB1*11:01:01-DPB1*02:01  Taiwan Rukai pop 2 2.000050
 67  DRB1*13:01-DQA1*01:03-DQB1*06:03-DPB1*02:01  South Korea pop 11 2.0000149
 68  DRB1*12:01:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.9400496
 69  DQB1*06:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.9260496
 70  DRB1*11:01:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.9210496
 71  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*02:01  China Zhejiang Han pop 2 1.9200833
 72  DRB1*12:01-DQB1*03:01-DPB1*02:01  South Korea pop 1 1.9000324
 73  DRB1*04:05:01-DQB1*03:01:01-DPB1*02:01:02  China Lijiang Naxi 1.8000100
 74  DRB1*12:02:01-DQB1*05:02-DPB1*02:01:02  China Lijiang Naxi 1.8000100
 75  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.7647170
 76  DRB1*03:01:01:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.7460496
 77  DRB1*11:01:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.7130496
 78  DRB1*12:01:01-DQB1*03:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.7020496
 79  DPA1*02:02:02-DPB1*02:01  India Bombay 1.700059
 80  DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  South Korea pop 2 1.7000207
 81  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPB1*02:01  South Korea pop 2 1.7000207
 82  DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  South Korea pop 11 1.7000149
 83  DRB1*15:01:01:01-DQB1*06:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.6880496
 84  DRB1*07:01-DQB1*02:01-DPB1*02:01  Greece pop3 1.6000246
 85  DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*02:01  China Canton Han 1.6000264
 86  DRB1*15:01-DQB1*06:02-DPB1*02:01  Ireland South 1.6000250
 87  DRB1*03:01:01:01-DQB1*02:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.5910496
 88  DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 1.58011,064
 89  DQB1*05:02-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.5760496
 90  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPB1*02:01  South Korea pop 1 1.5000324
 91  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:01  China Canton Han 1.5000264
 92  DRB1*07:01:01:01-DPB1*02:01:02  China Inner Mongolia Autonomous Region Northeast 1.4970496
 93  DRB1*09:01-DQB1*02:02-DPB1*02:01  Gambia pop 3 1.4737939
 94  A*01:01:01-B*81:01:01-C*18:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 95  A*02:01:01-B*44:02:01-C*05:01:01-DRB1*13:01:01-DQB1*06:03:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 96  A*02:01:01-B*44:03:01-C*16:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 97  A*02:01:01-B*53:01:01-C*06:02:01-DRB1*13:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 98  A*03:01:01-B*53:01:01-C*04:01:01-DRB1*11:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 99  A*30:02:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 100  A*30:02:01-B*57:03:01-C*07:02:01-DRB1*08:02:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668

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 2,790) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 28  


   

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