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 : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 657) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DPA1*02:01:01-DPB1*14:01  Ecuador Cayapa 42.2000183
 2  DRB1*15:01:01-DPB1*14:01  Taiwan Paiwan pop 2 9.600050
 3  DRB1*12:02:01-DPB1*14:01  Taiwan Tsou pop 2 8.100050
 4  DRB1*14:01:01-DPB1*14:01  Taiwan Saisiat pop 2 6.200050
 5  DPA1*02:01:01-DPB1*14:01  Ecuador African 6.000058
 6  A*02:04-B*52:01:02-C*15:03-DRB1*08:07-DQA1*04:01-DQB1*04:02-DPA1*02-DPB1*14:01  Venezuela Sierra de Perija Yucpa 5.800073
 7  A*31-B*52:01:02-C*15:03-DRB1*08:07-DQA1*04:01-DQB1*04:02-DPA1*02-DPB1*14:01  Venezuela Sierra de Perija Yucpa 5.800073
 8  DRB1*15:01:01-DPB1*14:01  Taiwan Atayal pop 2 5.600050
 9  DRB1*12:02:01-DPB1*14:01  Taiwan Rukai pop 2 5.500050
 10  DRB1*15:01:01-DPB1*14:01  Taiwan Puyuma pop 2 5.300050
 11  A*02:04-B*39:05-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*14:01  Venezuela Sierra de Perija Yucpa 4.700073
 12  DPA1*04:01-DPB1*14:01  Papua New Guinea Highland pop2 4.500028
 13  DRB1*12:02:01-DPB1*14:01  Taiwan Paiwan pop 2 2.700050
 14  DRB1*15:01-DQB1*06:01-DPB1*14:01  Mongolia Tarialan Khoton 2.400085
 15  A*24:02-B*40:04-C*03:02/03:04-DRB1*14:02-DQA1*05:01-DQB1*03:01-DPA1*02-DPB1*14:01  Venezuela Sierra de Perija Yucpa 2.300073
 16  DRB1*12:02:01-DPB1*14:01  Taiwan Ami pop 2 2.100050
 17  DRB1*14:01:01-DPB1*14:01  Taiwan Ami pop 2 2.100050
 18  DRB1*14:01:01-DPB1*14:01  Taiwan Bunun pop 2 2.100050
 19  A*24:02-B*35:43-C*01:02-DRB1*04:07-DQB1*03:02-DPB1*14:01  Panama 1.8900462
 20  DPA1*02:01:01-DPB1*14:01  India Bombay 1.700059
 21  DPA1*02:01:01-DPB1*14:01  France Ceph 1.6000124
 22  DPA1*02:01:01-DPB1*14:01  Russia Tuva pop 2 1.5000169
 23  A*31:01:02-B*39:03:01-C*18:02:01-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Black 1.470668
 24  A*02:13-B*39:05-C*07:02-DRB1*04:11-DQA1*03:01:01-DQB1*03:02-DPA1*01-DPB1*14:01  Venezuela Sierra de Perija Yucpa 1.200073
 25  A*68:01-B*52:01:02-C*15:03-DRB1*08:07-DQA1*04:01-DQB1*04:02-DPA1*02-DPB1*14:01  Venezuela Sierra de Perija Yucpa 1.200073
 26  DPA1*02:02:02-DPB1*14:01  Japan Fukuoka 1.200086
 27  DPA1*02:01-DPB1*14:01  Spain Navarre Basques 1.1000116
 28  DRB1*12:02:01-DPB1*14:01  Taiwan Atayal pop 2 1.100050
 29  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*14:01  China Canton Han 1.1000264
 30  DRB1*15:01:01-DPB1*14:01  Taiwan Ami pop 2 1.100050
 31  DRB1*15:01:01-DPB1*14:01  Taiwan Han 1.100050
 32  DPA1*02:01:01-DPB1*14:01  Samoa pop2 1.000050
 33  DPA1*04:01-DPB1*14:01  Tonga 1.000050
 34  DRB1*15:01:01-DPB1*14:01  Taiwan Rukai pop 2 1.000050
 35  DRB1*15:01:01-DPB1*14:01  Taiwan Tsou pop 2 1.000050
 36  A*02:01-B*44:03-C*14:03-DRB1*07:01-DQB1*02:02-DPB1*14:01  Tanzania Maasai 0.7987336
 37  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.7353833
 38  A*11:01-B*40:06-C*15:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*14:01  United Arab Emirates Pop 1 0.6954570
 39  A*24:02-B*35:02-C*04:01-DRB1*11:04-DQB1*03:01-DPB1*14:01  Tanzania Maasai 0.6390336
 40  DQA1*03:02-DQB1*03:03-DPA1*02:01-DPB1*14:01  Hong Kong Chinese HKBMDR. DQ and DP 0.62081,064
 41  A*23:01-B*39:10-C*15:05-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*14:01  South Africa Worcester 0.6000159
 42  A*02:04-B*58:01:01-C*03:02:02-DRB1*04:11:01-DQB1*04:02:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 43  A*30:02:01-B*51:01:01-C*05:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 44  A*31:15-B*15:04:01-C*03:03:01-DRB1*04:11:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 45  A*32:01:01-B*44:02:01-C*05:01:01-DRB1*07:01:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Parda 0.5882170
 46  A*24:02-B*35:01-C*04:01-DRB1*04:07-DQB1*03:02-DPB1*14:01  Panama 0.5700462
 47  A*03:01-B*07:02-C*03:04-DRB1*13:01-DQB1*03:03-DPB1*14:01  Russia Karelia 0.56411,075
 48  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*14:01:01  Saudi Arabia pop 6 (G) 0.527428,927
 49  DQA1*06:01-DQB1*03:01-DPA1*02:01-DPB1*14:01  Hong Kong Chinese HKBMDR. DQ and DP 0.47771,064
 50  A*24:02-B*35:43-C*01:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPB1*14:01  Nicaragua Managua 0.4329339
 51  A*01:01:01-B*15:01:01-C*04:01:01-DRB1*08:01:01-DQA1*01:02:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*14:01:01  Russian Federation Vologda Region 0.4202119
 52  A*01:134-B*07:02:01-C*04:01:01-DRB1*15:01:01-DQA1*02:01:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*14:01  Russian Federation Vologda Region 0.4202119
 53  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*11:04:01-DQA1*05:05:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*14:01  Russian Federation Vologda Region 0.4202119
 54  A*68:01:02-B*15:01:01-C*03:03:01-DRB1*11:03:01-DQA1*01:01:01-DQB1*03:01-DPA1*01:03:01-DPB1*14:01  Russian Federation Vologda Region 0.4202119
 55  DQB1*02:02-DPB1*14:01  China Inner Mongolia Autonomous Region Northeast 0.3950496
 56  A*32:01:01-B*51:01:01-C*15:02:01-DRB1*16:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 57  A*02:01-B*35:03-C*04:01-DRB1*14:01-DQB1*05:03-DPB1*14:01  Panama 0.3800462
 58  A*02:06-B*40:02-C*03:05-DRB1*08:02-DQB1*04:02-DPB1*14:01  Panama 0.3800462
 59  A*24:02-B*35:43-C*01:02-DRB1*04:03-DQB1*05:01-DPB1*14:01  Panama 0.3800462
 60  A*24:02-B*40:02-C*03:05-DRB1*04:07-DQB1*03:02-DPB1*14:01  Panama 0.3800462
 61  A*24:02-B*51:10-C*15:02-DRB1*04:07-DQB1*03:02-DPB1*14:01  Panama 0.3800462
 62  A*26:01:01-B*58:02:01-C*06:02:01-DRB1*13:01:01-DQB1*06:04:01-DPB1*14:01:01  South African Black 0.3520142
 63  A*26:01:01-B*81:01-C*02:10:01-DRB1*03:02:01-DQB1*04:02:01-DPB1*14:01:01  South African Black 0.3520142
 64  A*29:02:01-B*58:02:01-C*06:02:01-DRB1*07:01:01-DQB1*06:02:01-DPB1*14:01:01  South African Black 0.3520142
 65  A*30:01:01-B*53:01:01-C*04:01:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*14:01:01  South African Black 0.3520142
 66  A*32:106-B*07:02:01-C*02:10:01-DRB1*13:01:01-DQB1*06:02:01-DPB1*14:01:01  South African Black 0.3520142
 67  A*36:01-B*53:01:01-C*04:01:01-DRB1*11:01:02-DQB1*06:02:01-DPB1*14:01:01  South African Black 0.3520142
 68  A*33:03-B*58:01-C*03:02-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*14:01  Sri Lanka Colombo 0.3501714
 69  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*14:01  Russia Belgorod region 0.3268153
 70  A*02:01:01-B*18:01:01-C*12:03:01-DRB1*04:50-DQA1*03:01:01-DQB1*03:02-DPA1*01:03:01-DPB1*14:01  Russia Belgorod region 0.3268153
 71  A*02:11:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*14:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 72  A*11:01:01-B*27:02:01-C*03:04:01-DRB1*04:11:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 73  A*26:01:01-B*15:03:01-C*16:01:01-DRB1*07:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 74  A*29:02:01-B*18:01:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 75  A*30:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*14:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 76  A*68:01:01-B*41:01:01-C*17:01:01-DRB1*04:05:01-DQB1*03:03:02-DPA1*01:03:01-DPB1*14:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 77  DQA1*01:04-DQB1*05:02-DPA1*02:01-DPB1*14:01  Hong Kong Chinese HKBMDR. DQ and DP 0.30651,064
 78  A*02:01-B*13:02-C*06:02-DRB1*12:01-DQA1*05:01-DQB1*05:01-DPB1*144:01  South Africa Worcester 0.3000159
 79  A*02:05-B*58:02-C*06:02-DRB1*04:01-DQA1*01:02-DQB1*03:01-DPB1*14:01  South Africa Worcester 0.3000159
 80  A*24:02-B*58:02-C*06:02-DRB1*04:05-DQA1*03:01-DQB1*05:01-DPB1*14:01  South Africa Worcester 0.3000159
 81  DQB1*06:02-DPB1*14:01  China Inner Mongolia Autonomous Region Northeast 0.2930496
 82  DQA1*01:04-DQB1*05:03-DPA1*02:01-DPB1*14:01  Hong Kong Chinese HKBMDR. DQ and DP 0.29251,064
 83  A*02:01-B*51:01-C*16:02-DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*14:01  United Arab Emirates Pop 1 0.2804570
 84  DQB1*02:01-DPB1*14:01  China Inner Mongolia Autonomous Region Northeast 0.2660496
 85  A*02:01-B*40:06-C*07:01-DRB1*03:01-DQA1*02:01-DQB1*03:03-DPB1*14:01  USA San Diego 0.2600496
 86  A*02:01-B*51:05-C*04:01-DRB1*14:04-DQA1*01:02-DQB1*06:02-DPB1*14:01  USA San Diego 0.2600496
 87  A*02:03-B*40:01-C*01:02-DRB1*11:01-DQA1*05:01-DQB1*04:01-DPB1*14:01  USA San Diego 0.2600496
 88  A*26:01-B*48:01-C*01:02-DRB1*14:07-DQA1*01:03-DQB1*06:01-DPB1*14:01  USA San Diego 0.2600496
 89  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.2522833
 90  DRB1*11:01:01-DPB1*14:01  China Inner Mongolia Autonomous Region Northeast 0.2500496
 91  DRB1*11:01:01-DQB1*03:01-DPB1*14:01  China Inner Mongolia Autonomous Region Northeast 0.2470496
 92  DRB1*11:01-DQA1*05:05-DQB1*03:01-DPA1*02:02-DPB1*14:01  China Zhejiang Han pop 2 0.2425833
 93  DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*14:01  Hong Kong Chinese HKBMDR. DQ and DP 0.24051,064
 94  A*24:02-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:01-DPB1*14:01  Mexico Chiapas Lacandon Mayans 0.2294218
 95  A*24:02-B*39:05-C*07:02-DRB1*04:10-DQA1*03:01-DQB1*03:03-DPA1*02:01-DPB1*14:01  Mexico Chiapas Lacandon Mayans 0.2294218
 96  A*24:14-B*40:02-C*03:04-DRB1*14:02-DQA1*05:03-DQB1*03:01-DPA1*02:01-DPB1*14:01  Mexico Chiapas Lacandon Mayans 0.2294218
 97  A*68:05-B*39:05-C*07:02-DRB1*04:07-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*14:01  Mexico Chiapas Lacandon Mayans 0.2294218
 98  DRB1*16:02-DQA1*01:02-DQB1*05:02-DPA1*02:01-DPB1*14:01  China Zhejiang Han pop 2 0.2287833
 99  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*14:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.22325,266
 100  DQB1*06:01-DPB1*14:01  China Inner Mongolia Autonomous Region Northeast 0.2230496

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 657) records   Pages: 1 2 3 4 5 6 7 of 7  


   

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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