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 : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 554) records   Pages: 1 2 3 4 5 6 of 6  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*01:03-DPB1*02:02  Spain Navarre Basques 9.5000116
 2  DRB1*03:01-DQA1*05:01-DPA1*01:03-DPB1*02:02  Spain Gipuzkoa Basque 6.5000100
 3  DPA1*02:02:02-DPB1*02:02  Japan Fukuoka 2.900086
 4  A*02:07-B*46:01-C*01:02:01-DRB1*08:03:02-DQB1*06:01:01-DPB1*02:02  China Yunnan Province Nu 2.6000107
 5  DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*02:02  China Canton Han 2.1000264
 6  DRB1*15:04-DQB1*05:02-DPB1*02:02  China Lijiang Naxi 1.8000100
 7  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 1.5525833
 8  DQB1*03:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 1.5410496
 9  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPB1*02:02  South Korea pop 2 1.5000207
 10  DRB1*08:03-DQB1*06:01-DPB1*02:02  South Korea pop 1 1.4000324
 11  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*02:02  South Korea pop 11 1.3000149
 12  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 1.2849833
 13  DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 1.24251,064
 14  DPA1*01:03-DPB1*02:02  France Ceph 1.2000124
 15  DRB1*03:01-DQA1*05:01-DPA1*01:03-DPB1*02:02  Spain Catalonia Girona 1.200088
 16  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPB1*02:02  South Korea pop 1 1.2000324
 17  DRB1*12:02-DQA1*06:01:02-DQB1*03:01-DPB1*02:02  South Korea pop 2 1.2000207
 18  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPB1*02:02  China Canton Han 1.2000264
 19  DRB1*15:01-DQA1*01:02-DQB1*06:01-DPB1*02:02  China Canton Han 1.1000264
 20  DRB1*16:02-DQB1*05:02-DPB1*02:02  South Korea pop 1 1.1000324
 21  DQB1*06:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 1.0250496
 22  DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.98881,064
 23  A*02:07-B*46:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:02  Japan pop 17 0.91003,078
 24  DRB1*08:03:02-DQB1*06:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.8950496
 25  DRB1*08:03:02-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.8830496
 26  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.8724833
 27  DRB1*12:02:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.8620496
 28  DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.82881,064
 29  DRB1*12:02:01-DQB1*03:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.7460496
 30  DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.61411,064
 31  A*23:01:01-B*18:01:01-C*15:02:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Rio de Janeiro Parda 0.5882170
 32  A*29:02:01-B*45:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Rio de Janeiro Parda 0.5882170
 33  DRB1*12:01:01-DQB1*03:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.5730496
 34  DRB1*14:01:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.5670496
 35  DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.56561,064
 36  DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.54881,064
 37  DQB1*05:02-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.5200496
 38  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.5157833
 39  DRB1*12:01:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.5130496
 40  DRB1*14:01:01-DQB1*05:02-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.4770496
 41  DRB1*03:01:01:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.4540496
 42  DQA1*01:04-DQB1*05:03-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.44691,064
 43  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.44545,266
 44  DRB1*09:01:02-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.4290496
 45  A*03:01:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DQA1*01:03:01-DQB1*06:01:01-DPA1*02:02:02-DPB1*02:02  Russian Federation Vologda Region 0.4202119
 46  DQB1*03:03-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.3870496
 47  DRB1*09:01:02-DQB1*03:03-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.3830496
 48  DRB1*04:05-DQA1*03:03-DQB1*04:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.3818833
 49  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:02  Panama 0.3800462
 50  A*24:02-B*46:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:02  Japan pop 17 0.36003,078
 51  DRB1*03:01:01:01-DQB1*02:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.3470496
 52  DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.34631,064
 53  DQB1*02:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.3310496
 54  DQB1*06:02-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.3290496
 55  A*02:01:01-B*44:02:01-C*03:04-DRB1*03:01:01-DQA1*04:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:02  Russia Belgorod region 0.3268153
 56  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*14:54:01-DQB1*05:03:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 57  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 58  DQA1*01:04-DQB1*05:02-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.30991,064
 59  DRB1*15:01:01:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.3020496
 60  A*24:07-B*35:05-C*07:02-DRB1*12:02-DQA1*01:02-DQB1*06:02-DPB1*02:02  South Africa Worcester 0.3000159
 61  DRB1*15:01:01:01-DQB1*06:02-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.3000496
 62  DRB1*13:02:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.2650496
 63  A*24:02-B*35:01-C*03:03-DRB1*08:03-DQA1*03:01-DQB1*06:01-DPB1*02:02  USA San Diego 0.2600496
 64  A*24:02-B*35:01-C*07:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:02  USA San Diego 0.2600496
 65  A*31:01-B*51:01-C*14:02-DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*02:02  USA San Diego 0.2600496
 66  A*33:03-B*58:01-C*01:02-DRB1*13:02-DQA1*01:02-DQB1*03:01-DPB1*02:02  USA San Diego 0.2600496
 67  DRB1*04:05:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.2540496
 68  DRB1*04:05:01-DQB1*04:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.2540496
 69  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.25245,266
 70  DQB1*04:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.2460496
 71  A*11:01:01-B*15:02:01-C*08:01:01-DRB1*15:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.22195,266
 72  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.2206833
 73  A*02:06-B*39:01-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*02:02  Nicaragua Managua 0.2165339
 74  A*68:02-B*40:01-C*03:04-DRB1*03:01-DQA1*03:01-DQB1*04:02-DPB1*02:02  Nicaragua Managua 0.2165339
 75  DQB1*03:02-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.2110496
 76  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*01:03-DPB1*02:02  China Zhejiang Han pop 2 0.2035833
 77  DQB1*06:04-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.2020496
 78  DRB1*04:04:01-DQB1*03:02-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.2020496
 79  DRB1*13:02:01-DQB1*06:04-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.2020496
 80  DQA1*01:02-DQB1*06:02-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.19711,064
 81  DRB1*13:03:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.1960496
 82  DRB1*13:03:01-DQB1*03:01-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.1950496
 83  A*24:02:01-B*45:01:01-C*07:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 84  A*30:02:01-B*18:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 85  A*02:06-B*13:02-C*07:02-DRB1*07:01-DQB1*02:02-DPB1*02:02  Panama 0.1900462
 86  A*11:01-B*18:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:02  Panama 0.1900462
 87  A*23:01-B*53:01-C*04:01-DRB1*14:02-DQB1*03:01-DPB1*02:02  Panama 0.1900462
 88  A*24:02-B*51:01-C*16:01-DRB1*15:01-DQB1*06:02-DPB1*02:02  Panama 0.1900462
 89  A*29:02-B*45:01-C*06:02-DRB1*15:03-DQB1*06:03-DPB1*02:02  Panama 0.1900462
 90  A*29:32-B*18:01-C*12:02-DRB1*07:01-DQB1*02:02-DPB1*02:02  Panama 0.1900462
 91  A*68:01-B*35:43-C*04:01-DRB1*04:07-DQB1*03:02-DPB1*02:02  Panama 0.1900462
 92  DRB1*15:01-DQA1*01:02-DQB1*06:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.1769833
 93  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*02:02  China Zhejiang Han pop 2 0.1682833
 94  DQA1*02:01-DQB1*02:02-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.15821,064
 95  DQA1*05:01-DQB1*02:01-DPA1*02:02-DPB1*02:02  Hong Kong Chinese HKBMDR. DQ and DP 0.14871,064
 96  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.14395,266
 97  DQB1*05:03-DPB1*02:02  China Inner Mongolia Autonomous Region Northeast 0.1360496
 98  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*08:03:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.13115,266
 99  A*02:01-B*46:01-C*01:02-DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*02:02  Japan pop 17 0.13003,078
 100  A*30:02-B*18:01-C*05:01-DRB1*03:01-DQB1*02:01-DPB1*02:02  Germany DKMS - German donors 0.12783,456,066

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 554) records   Pages: 1 2 3 4 5 6 of 6  


   

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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