Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 189) 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  A*24-B*15-C*03-DRB1*13-DQB1*06-DPB1*19  Norway ethnic Norwegians 0.22004,510
 29  DRB1*12:01:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2070496
 30  DQB1*05:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 31  DQB1*06:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 32  DRB1*14:01:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 33  DRB1*14:01:01-DQB1*05:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 34  DRB1*15:01:01:01-DQB1*05:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.2020496
 35  DQB1*05:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1810496
 36  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.1801833
 37  A*02-B*15-C*03-DRB1*13-DQB1*06-DPB1*19  Norway ethnic Norwegians 0.18004,510
 38  DRB1*03:01:01:01-DQB1*02:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1680496
 39  A*02:01-B*45:01-C*06:11-DRB1*14:54-DQB1*03:01-DPB1*19:01  Tanzania Maasai 0.1597336
 40  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
 41  DQA1*03:02-DQB1*03:03-DPA1*02:07-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12921,064
 42  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
 43  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.1253833
 44  DQA1*01:02-DQB1*05:02-DPA1*02:07-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.12061,064
 45  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.1200833
 46  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*19:01  Russia Karelia 0.11261,075
 47  DRB1*16:02:01-DQB1*05:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1120496
 48  DRB1*01:01:01-DQB1*05:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 49  DRB1*01:02:01-DQB1*05:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 50  DRB1*04:05:01-DQB1*03:02-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 51  DRB1*08:03:02-DQB1*03:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 52  DRB1*08:03:02-DQB1*06:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 53  DRB1*10:01:01-DQB1*05:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 54  DRB1*11:04:01-DQB1*03:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 55  DRB1*11:04:01-DQB1*03:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 56  DRB1*11:06:01-DQB1*03:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 57  DRB1*12:02:01-DQB1*06:01-DPB1*19:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 58  DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.09021,064
 59  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
 60  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
 61  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
 62  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
 63  DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 64  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 65  DRB1*08:02-DQA1*04:01-DQB1*03:02-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 66  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 67  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 68  DRB1*15:02-DQA1*01:02-DQB1*06:02-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.0600833
 69  A*29:01-B*35:02-C*04:01-DRB1*13:01-DQB1*06:03-DPB1*19:01  Russia Karelia 0.05651,075
 70  A*02:01-B*51:08-C*16:02-DRB1*13:02-DQB1*06:04-DPB1*19:01  Russia Karelia 0.05651,075
 71  A*02:01-B*40:01-C*03:04-DRB1*13:01-DQB1*06:03-DPB1*19:01  Russia Karelia 0.05651,075
 72  A*31:01-B*27:05-C*02:02-DRB1*04:01-DQB1*03:02-DPB1*19:01  Russia Karelia 0.05651,075
 73  A*24:02-B*27:02-C*02:02-DRB1*11:01-DQB1*03:01-DPB1*19:01  Russia Karelia 0.05651,075
 74  A*24:02-B*15:01-C*03:03-DRB1*13:01-DQB1*06:03-DPB1*19:01  Russia Karelia 0.05641,075
 75  A*11:01-B*35:01-C*04:01-DRB1*01:01-DQB1*05:01-DPB1*19:01  Russia Karelia 0.05611,075
 76  DRB1*15:02-DQA1*01:03-DQB1*06:01-DPA1*02:07-DPB1*19:01  China Zhejiang Han pop 2 0.0509833
 77  A*02-B*44-C*05-DRB1*13-DQB1*06-DPB1*19  Norway ethnic Norwegians 0.05004,510
 78  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
 79  DQA1*01:04-DQB1*05:03-DPA1*02:07-DPB1*19:01  Hong Kong Chinese HKBMDR. DQ and DP 0.04331,064
 80  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
 81  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
 82  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
 83  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
 84  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
 85  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
 86  A*02-B*07-C*07-DRB1*13-DQB1*06-DPB1*19  Norway ethnic Norwegians 0.03004,510
 87  A*03-B*15-C*03-DRB1*13-DQB1*06-DPB1*19  Norway ethnic Norwegians 0.03004,510
 88  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
 89  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
 90  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
 91  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
 92  A*32-B*40-C*03-DRB1*13-DQB1*06-DPB1*19  Norway ethnic Norwegians 0.03004,510
 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 189) 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.

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