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 85 (from 85) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30:01:01-B*50:01:01-C*04:01:01-DRB1*11:01:02-DQB1*03:01:01-DPA1*03:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*13:01  China Canton Han 1.8000264
 3  A*74:01-B*15:03-C*02:10-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Kenya, Nyanza Province, Luo tribe 1.5000100
 4  DRB1*11:04-DQB1*03:01-DPB1*13:01  Greece pop3 1.5000246
 5  A*02:05-B*58:01-C*07:01-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPB1*13:01  South Africa Worcester 1.0000159
 6  A*23:01:01-B*50:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 7  A*68:02:01-B*35:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 8  DQA1*05:03-DQB1*03:01-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.58691,064
 9  A*02:02-B*44:03-C*14:03-DRB1*15:03-DQA1*05:01-DQB1*03:01-DPB1*13:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 10  DQB1*03:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.3730496
 11  A*02:01:01-B*27:05:02-C*01:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01-DPA1*02:01:04-DPB1*13:01  Russia Belgorod region 0.3268153
 12  A*02:01:01-B*44:03:01-C*07:01:01-DRB1*07:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*13:01  Russia Belgorod region 0.3268153
 13  A*24:02:01-B*50:01:01-C*01:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*03:01-DPA1*02:01:01-DPB1*13:01:01  Russia Belgorod region 0.3268153
 14  DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.31711,064
 15  A*26:01:01-B*35:03:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 16  A*23:01-B*15:16-C*02:02-DRB1*03:02-DQA1*05:01-DQB1*03:01-DPB1*13:01  South Africa Worcester 0.3000159
 17  A*30:02-B*07:02-C*07:01-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPB1*13:01  South Africa Worcester 0.3000159
 18  A*66:01-B*81:01-C*18:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  South Africa Worcester 0.3000159
 19  A*24:07-B*35:05-C*04:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.2801714
 20  A*11:02-B*58:01-C*07:02-DRB1*03:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  USA San Diego 0.2600496
 21  A*24:02-B*46:01-C*01:02-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*13:01  USA San Diego 0.2600496
 22  DRB1*08:06-DQB1*03:01-DPB1*13:01  Gambia pop 3 0.2177939
 23  A*24:02-B*15:03-C*02:10-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Nicaragua Managua 0.2165339
 24  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.2144833
 25  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.2042833
 26  A*02:01:01-B*40:02:01-C*15:02:01-DRB1*14:06:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*02:02-B*15:03-C*02:10-DRB1*16:02-DQB1*03:01-DPB1*13:01  Panama 0.1900462
 28  A*24:02-B*35:01-C*03:05-DRB1*14:02-DQB1*03:01-DPB1*13:01  Panama 0.1900462
 29  A*24:02-B*35:43-C*03:05-DRB1*14:02-DQB1*03:01-DPB1*13:01  Panama 0.1900462
 30  DQA1*05:05-DQB1*03:01-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.16901,064
 31  DRB1*13:12-DQA1*05:03-DQB1*03:01-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.1664833
 32  A*30:01-B*45:01-C*16:01-DRB1*08:04-DQB1*03:01-DPB1*13:01  Tanzania Maasai 0.1597336
 33  DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.14311,064
 34  DRB1*11:01-DQB1*03:01-DPB1*13:01  Gambia pop 3 0.1078939
 35  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.1028833
 36  DRB1*07:01:01:01-DQB1*03:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 37  DRB1*12:21-DQB1*03:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.1010496
 38  DQA1*06:01-DQB1*03:01-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.09931,064
 39  A*02:01-B*52:01-C*06:02-DRB1*07:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 40  A*02:11-B*48:04-C*08:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 41  A*02:11-B*78:02-C*07:02-DRB1*12:02-DQA1*01:02-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 42  A*11:01-B*15:12-C*03:03-DRB1*14:06-DQA1*01:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 43  A*11:01-B*15:18-C*07:04-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 44  A*24:02-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 45  A*31:01-B*56:01-C*01:02-DRB1*14:04-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 46  A*33:03-B*35:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Sri Lanka Colombo 0.0700714
 47  A*26:03-B*15:01-C*03:03-DRB1*09:01-DQA1*03:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.07003,078
 48  DRB1*13:12-DQA1*05:03-DQB1*03:01-DPA1*02:02-DPB1*13:01  China Zhejiang Han pop 2 0.0643833
 49  DRB1*04:01-DQA1*03:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  China Zhejiang Han pop 2 0.0600833
 50  DQA1*06:01-DQB1*03:01-DPA1*02:02-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.05671,064
 51  A*33:01-B*14:02-C*08:02-DRB1*11:01-DQB1*03:01-DPB1*13:01  Russia Karelia 0.05651,075
 52  A*33:03-B*50:01-C*06:02-DRB1*13:05-DQB1*03:01-DPB1*13:01  Russia Karelia 0.05651,075
 53  A*03:01-B*41:01-C*17:01-DRB1*11:04-DQB1*03:01-DPB1*13:01  Russia Karelia 0.05651,075
 54  A*02:01-B*27:05-C*02:02-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*02:02-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 55  A*02:01-B*40:06-C*12:18-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 56  A*02:05-B*35:01-C*04:01-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 57  A*02:05-B*35:08-C*04:01-DRB1*11:04-DQA1*05:05-DQB1*03:01-DPA1*01:03-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 58  A*02:74-B*13:02-C*07:04-DRB1*13:05-DQA1*01:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 59  A*03:01-B*51:01-C*15:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 60  A*23:01-B*14:01-C*08:02-DRB1*13:03-DQA1*05:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 61  A*24:02-B*18:01-C*12:03-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 62  A*24:02-B*40:01-C*14:02-DRB1*08:03-DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 63  A*24:02-B*52:01-C*04:01-DRB1*07:01-DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 64  A*30:02-B*53:01-C*04:01-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 65  A*30:02-B*58:01-C*07:01-DRB1*14:06-DQA1*05:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 66  A*31:01-B*41:01-C*02:02-DRB1*11:04-DQA1*05:01-DQB1*03:01-DPA1*01:03-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 67  A*33:03-B*40:06-C*15:02-DRB1*08:03-DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 68  A*33:03-B*58:01-C*03:02-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPA1*02:02-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 69  A*34:01-B*18:02-C*04:03-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 70  A*34:01-B*40:01-C*03:04-DRB1*09:01-DQA1*03:01-DQB1*03:01-DPA1*02:02-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 71  A*66:01-B*58:02-C*06:02-DRB1*12:01-DQA1*05:01-DQB1*03:01-DPA1*02:02-DPB1*13:01  United Arab Emirates Pop 1 0.0467570
 72  A*02:01-B*15:01-C*07:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 73  A*02:01-B*35:01-C*03:03-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 74  A*02:01-B*48:01-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 75  A*11:01-B*35:01-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 76  A*24:02-B*15:01-C*07:02-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 77  A*24:02-B*15:18-C*08:01-DRB1*12:02-DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 78  A*24:02-B*40:06-C*08:01-DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 79  A*26:01-B*40:01-C*08:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 80  A*26:02-B*40:01-C*03:03-DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 81  A*26:03-B*15:01-C*03:03-DRB1*14:06-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 82  A*31:01-B*56:01-C*04:01-DRB1*09:01-DQA1*03:01-DQB1*03:01-DPA1*02:01-DPB1*13:01  Japan pop 17 0.03003,078
 83  A*23:01-B*49:01-C*07:01-DRB1*12:01-DQB1*03:01-DPB1*13:01  Germany DKMS - German donors 0.01473,456,066
 84  DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.01331,064
 85  DRB1*12:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*13:01  Pakistan Mixed Punjabi 0.0013389

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).




   

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