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 150) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*02:01:01-DPB1*19:01  Uganda Baganda 3.200047
 2  DRB1*07:01:01:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 2.7620496
 3  DRB1*07:01:01:01-DQB1*02:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 2.0700496
 4  DQB1*02:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 2.0270496
 5  A*11:01:01-B*15:32-C*01:02:01-DRB1*15:04-DQB1*05:02:01-DPB1*19:01  China Yunnan Province Nu 1.7000107
 6  DPA1*01:05-DPB1*19:01  Spain Navarre Basques 1.1000116
 7  DPA1*03:01-DPB1*19:01  Uganda Baganda 1.100047
 8  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQA1*01:03-DQB1*06:02-DPB1*19:01  South Africa Worcester 1.0000159
 9  DQB1*02:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.7850496
 10  A*36:01-B*15:03:01-C*02:10:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:07:01-DPB1*19:01:01  Brazil Rio de Janeiro Parda 0.5882170
 11  DRB1*07:01:01:01-DQB1*02:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.5870496
 12  A*74:01-B*41:01-C*17:01-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*19:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 13  DQB1*03:03-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.4550496
 14  DRB1*09:01:02-DQB1*03:03-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.4240496
 15  A*33:01:01-B*44:03:01-C*02:02:02-DRB1*15:01:01-DQB1*06:02:01-DPA1*02:07:01-DPB1*19:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 16  DQB1*03:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.3600496
 17  DRB1*08:03:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.3440496
 18  A*02:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQA1*01:02:02-DQB1*05:02-DPA1*02:07-DPB1*19:01  Russia Belgorod region 0.3268153
 19  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*04:01:01-DQA1*02:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*19:01  Russia Belgorod region 0.3268153
 20  A*66:01-B*58:02-C*06:02-DRB1*13:01-DQB1*06:02-DPB1*19:01  Tanzania Maasai 0.3195336
 21  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.2911833
 22  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.2850833
 23  DQA1*01:03-DQB1*06:01-DPA1*02:07-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.27581,064
 24  DQB1*05:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2700496
 25  DQA1*06:01-DQB1*03:01-DPA1*02:07-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.26571,064
 26  A*02:05-B*50:01-C*06:02-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*19:01  USA San Diego 0.2600496
 27  DRB1*15:01:01:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2290496
 28  DRB1*12:01:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2070496
 29  DQB1*05:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 30  DQB1*06:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 31  DRB1*14:01:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 32  DRB1*14:01:01-DQB1*05:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 33  DRB1*15:01:01:01-DQB1*05:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 34  DQB1*05:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1810496
 35  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.1801833
 36  DRB1*03:01:01:01-DQB1*02:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1680496
 37  A*02:01-B*45:01-C*06:11-DRB1*14:54-DQB1*03:01-DPB1*19:01  Tanzania Maasai 0.1597336
 38  A*24:02-B*54:01-C*01:02-DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*19:01  Japan pop 17 0.13003,078
 39  DQA1*03:02-DQB1*03:03-DPA1*02:07-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12921,064
 40  A*02:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*19:01  Germany DKMS - German donors 0.12793,456,066
 41  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.1253833
 42  DQA1*01:02-DQB1*05:02-DPA1*02:07-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12061,064
 43  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.1200833
 44  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*19:01  Russia Karelia 0.11261,075
 45  DRB1*16:02:01-DQB1*05:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1120496
 46  DRB1*01:01:01-DQB1*05:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 47  DRB1*01:02:01-DQB1*05:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 48  DRB1*04:05:01-DQB1*03:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 49  DRB1*08:03:02-DQB1*03:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 50  DRB1*08:03:02-DQB1*06:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 51  DRB1*10:01:01-DQB1*05:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 52  DRB1*11:04:01-DQB1*03:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 53  DRB1*11:04:01-DQB1*03:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 54  DRB1*11:06:01-DQB1*03:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 55  DRB1*12:02:01-DQB1*06:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 56  A*01:01-B*58:01-C*03:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*19:01  United Arab Emirates Pop 1 0.0935570
 57  DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.09021,064
 58  A*24:02-B*52:01-C*16:02-DRB1*04:06-DQA1*03:01-DQB1*04:02-DPB1*19:01  Sri Lanka Colombo 0.0700714
 59  A*02:01-B*15:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*19:01  Japan pop 17 0.07003,078
 60  A*24:02-B*54:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*19:01  Japan pop 17 0.07003,078
 61  A*26:02-B*40:06-C*08:01-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*19:01  Japan pop 17 0.07003,078
 62  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 63  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 64  DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 65  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 66  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 67  DRB1*15:02-DQA1*01:02-DQB1*06:02-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 68  A*29:01-B*35:02-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*19:01  Russia Karelia 0.05651,075
 69  A*02:01-B*51:08-C*16:02-DRB1*13:02-DQB1*06:04-DPB1*19:01  Russia Karelia 0.05651,075
 70  A*02:01-B*40:01-C*03:04-DRB1*13:01-DQB1*06:03-DPB1*19:01  Russia Karelia 0.05651,075
 71  A*31:01-B*27:05-C*02:02-DRB1*04:01-DQB1*03:02-DPB1*19:01  Russia Karelia 0.05651,075
 72  A*24:02-B*27:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*19:01  Russia Karelia 0.05651,075
 73  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*19:01  Russia Karelia 0.05641,075
 74  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*19:01  Russia Karelia 0.05611,075
 75  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.0509833
 76  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04745,266
 77  A*01:01-B*51:01-C*15:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*19:01  United Arab Emirates Pop 1 0.0467570
 78  A*01:01-B*81:01-C*18:01-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*19:01  United Arab Emirates Pop 1 0.0467570
 79  A*02:01-B*44:05-C*04:01-DRB1*10:01-DQA1*01:02-DQB1*05:01-DPA1*02:01-DPB1*19:01  United Arab Emirates Pop 1 0.0467570
 80  A*23:01-B*14:02-C*07:01-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*19:01  United Arab Emirates Pop 1 0.0467570
 81  A*24:02-B*27:06-C*07:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*19:01  United Arab Emirates Pop 1 0.0467570
 82  DQA1*01:04-DQB1*05:03-DPA1*02:07-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.04331,064
 83  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*08:03:02-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03775,266
 84  A*01:01-B*08:01-C*07:01-DRB1*13:01-DQB1*06:03-DPB1*19:01  Germany DKMS - German donors 0.03473,456,066
 85  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*19:01  Germany DKMS - German donors 0.03393,456,066
 86  A*11:01:01-B*13:01:01-C*03:04:01-DRB1*15:01:01-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03265,266
 87  A*03:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*19:01  Germany DKMS - German donors 0.03113,456,066
 88  A*02:06-B*39:01-C*07:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*19:01  Japan pop 17 0.03003,078
 89  A*24:02-B*40:01-C*03:04-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*19:01  Japan pop 17 0.03003,078
 90  A*24:02-B*40:02-C*03:03-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*19:01  Japan pop 17 0.03003,078
 91  A*26:01-B*40:01-C*04:01-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*19:01  Japan pop 17 0.03003,078
 92  A*26:01-B*56:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*19:01  Japan pop 17 0.03003,078
 93  DQA1*01:02-DQB1*06:01-DPA1*02:07-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.02871,064
 94  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*08:03:02-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02855,266
 95  A*11:01:01-B*40:02:01-C*03:03:01-DRB1*12:01:01-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02855,266
 96  A*24:02:01-B*15:25:01-C*04:03:01-DRB1*12:02:01-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02625,266
 97  A*01:01-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*19:01  Germany DKMS - German donors 0.02393,456,066
 98  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02395,266
 99  DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.0238833
 100  A*11:01:01-B*40:01:02-C*07:02:01-DRB1*09:01:02-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.02285,266

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 150) records   Pages: 1 2 of 2  


   

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