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 2,308) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*04:04-DPB1*05:01  Taiwan Ami pop 2 27.200050
 2  B*48:01-DRB1*04:04  Taiwan Ami 18.600098
 3  DRB1*04:04-DQB1*03:02  Mexico Oaxaca Zapotec 15.700090
 4  B*40:01-DRB1*04:04  Taiwan Ami 13.800098
 5  DRB1*04:04-DQA1*03-DQB1*03:02  Argentina Gran Chaco Mataco Wichi 10.200049
 6  A*24-B*35:04-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 9.600039
 7  DRB1*04:04-DQB1*03:02  Taiwan Aborigine pop 2 8.300048
 8  DRB1*04:04-DQB1*03:02  Sweden Southern Sami 7.6000130
 9  DRB1*04:04-DQA1*03-DQB1*03:02  Brazil Central Plateau Xavante 6.800074
 10  DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 6.2000234
 11  A*02-B*51-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 5.800039
 12  DRB1*04:04-DQB1*03:02  Mexico Oaxaca Mixe 5.800055
 13  DRB1*04:04-DQA1*03-DQB1*03:02  Russia Siberia Negidal 5.700035
 14  DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 5.4000101
 15  B*39:01-DRB1*04:04  Taiwan Ami 5.200098
 16  DRB1*04:04-DQA1*03-DQB1*03:02  Argentina Gran Chaco Eastern Toba 5.2000135
 17  A*02:01-B*39:01-DRB1*04:04-DQB1*03:02  USA South Dakota Lakota Sioux 5.1000302
 18  DRB1*04:04-DQB1*03:02  Israel Libyan Jews 5.1000119
 19  DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 4.91201,999
 20  A*02-B*35-DRB1*04:04-DQB1*03:02  Bolivia Quechua 4.300080
 21  A*24:02-B*35:01-DRB1*04:04-DQB1*03:02  USA South Dakota Lakota Sioux 4.3000302
 22  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02  Russia Bering Island Aleut 4.200085
 23  DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Highlands Mestizos 4.1000160
 24  A*02:06-B*39:02-DRB1*04:04  Mexico Oaxaca Zapotec 4.000090
 25  A*02:06-B*39:02-DRB1*04:04  Mexico Oaxaca Mixe 4.000055
 26  A*02:06-B*39:05-DRB1*04:04  Mexico Oaxaca Zapotec 4.000090
 27  DRB1*04:04-DQA1*03-DQB1*03:02  Russia Siberia Kushun Buryat 4.000025
 28  A*68-B*35-DRB1*04:04-DQB1*03:02  Bolivia Aymara 3.9000102
 29  DRB1*04:04-DQA1*03:01-DQB1*03:02  USA European American 3.87001,899
 30  A*02-B*40-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 3.800039
 31  A*02-B*15-DRB1*04:04-DQB1*03:02  Bolivia Quechua 3.600080
 32  A*24-B*35-DRB1*04:04-DQB1*03:02  Bolivia Quechua 2.900080
 33  DRB1*04:04-DQA1*03:01/03:02/03:03-DQB1*03:02  Russia Siberia Lower Yenisey Ket 2.900017
 34  DRB1*04:04-DQA1*03-DQB1*03:02  Russia Siberia Khanty Mansi 2.900068
 35  DRB1*04:04-DQB1*03:02-DPB1*04:01  Ireland South 2.9000250
 36  A*68:01:02-B*40:02-C*03:04-DRB1*04:04-DQB1*03:02  Russia Bering Island Aleut 2.800085
 37  A*02-B*08-DRB1*04:04-DQB1*03:01  Spain Pas Valley 2.700088
 38  DRB1*04:04-DQA1*03:01-DQB1*03:02  USA San Francisco Caucasian 2.7000220
 39  DRB1*04:04-DQA1*03-DQB1*03:02  Argentina Gran Chaco Western Toba Pilaga 2.600019
 40  A*24-B*35-DRB1*04:04-DQA1*03-DQB1*03:02  Mexico Mazatecan 2.500089
 41  B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Ireland South 2.3000250
 42  DRB1*04:04-DQA1*03:01-DQB1*03:02  Russia Northwest Slavic 2.0000200
 43  DRB1*04:04-DQA1*03-DQB1*03:02  Turkey pop 1 2.0000250
 44  A*02-B*35-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 1.900039
 45  A*24-B*40-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 1.900039
 46  A*02:01:01-B*51:01:01-DRB1*04:04  Bulgaria 1.800055
 47  DRB1*04:04-DQA1*03:01/03:02-DQB1*04:02  Ethiopia Oromo 1.800083
 48  DRB1*04:04-DRB4*01-DQB1*03:02  Macedonia pop 2 1.800080
 49  A*31:01-B*27:05-DRB1*04:04  Sweden Southern Sami 1.7000130
 50  DRB1*04:04-DQA1*03:03-DQB1*04:02  South Korea pop 1 1.7000324
 51  A*32:01-B*40:01-DRB1*04:04  Israel Libya Jews 1.68003,739
 52  DRB1*04:04-DRB4*01:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Francisco Caucasian 1.6000220
 53  DRB1*04:04-DRB4*01:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Francisco Caucasian 1.6000220
 54  A*02-B*15-DRB1*04:04-DQB1*03:02  Guatemala Mayan 1.5000132
 55  A*24:02-B*51:01-DRB1*04:04  Armenia combined Regions 1.5000100
 56  DRB1*04:04-DQA1*03:01-DQB1*03:02  Australia New South Wales Aborigine 1.5000177
 57  A*30-B*14-DRB1*04:04  South Korea pop 1 1.4000324
 58  A*31:01-B*40:01-DRB1*04:04  Sweden Southern Sami 1.4000130
 59  DRB1*04:04-DQA1*03:01-DQB1*03:02  Slovenia pop 2 1.4000140
 60  DRB1*04:04-DQA1*03:03-DQB1*04:02  South Korea pop 5 1.4000467
 61  DRB1*04:04-DQA1*03:03-DQB1*04:02-DPB1*13:01  South Korea pop 1 1.4000324
 62  DRB1*04:04-DQB1*04:02-DPB1*13:01  South Korea pop 1 1.4000324
 63  A*26:01-B*52:01-DRB1*04:04  Israel Bukhara Jews 1.34002,317
 64  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  Ireland South 1.3000250
 65  A*68:01-B*38:01-DRB1*04:04  Azores Oriental Islands 1.300043
 66  B*14:01-C*08:02-DRB1*04:04  South Korea pop 3 1.3000485
 67  B*14:01-DRB1*04:04-DQB1*04:02  South Korea pop 3 1.3000485
 68  DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Nuevo Leon Mestizo 1.300040
 69  DRB1*04:04-DQA1*03:03-DQB1*04:02-DPB1*13:01  South Korea pop 11 1.3000149
 70  DRB1*04:04-DQB1*03:02  Israel Yemenite Jews 1.300076
 71  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 1.270316991,075
 72  A*03:01-B*07:02-DRB1*04:04  Sweden Southern Sami 1.2000130
 73  A*24:02-B*27:05-DRB1*04:04  Sweden Southern Sami 1.2000130
 74  A*30:04-B*14:01-C*08:02-DRB1*04:04-DQB1*04:02  South Korea pop 3 1.2000485
 75  A*30:04-B*14:01-DRB1*04:04  South Korea pop 3 1.2000485
 76  B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  Ireland South 1.2000250
 77  DRB1*04:04-DQA1*03:01/03:02-DQB1*03:02  Ethiopia Oromo 1.200083
 78  DRB1*04:04-DQA1*03-DQB1*04:02  Russia Siberia Irkutsk Tofalar 1.200043
 79  DRB1*04:04-DQB1*03:02-DPB1*04:02  Ireland South 1.2000250
 80  A*31:08-B*40:01-DRB1*04:04  Israel Libya Jews 1.18003,739
 81  A*29:01-B*15:03-DRB1*04:04  Israel Ethiopia Jews 1.16005,928
 82  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*04:04  South Africa Caucasians 1.1100102
 83  DRB1*04:04-DPB1*05:01  Taiwan Puyuma pop 2 1.100050
 84  DRB1*04:04-DQA1*03:01-DQB1*03:01  Australia New South Wales Aborigine 1.1000177
 85  DRB1*04:04-DQA1*03:01-DQB1*04:02  Australia New South Wales Aborigine 1.1000177
 86  DRB1*04:04-DQB1*03:02-DPB1*06:01  Ireland South 1.1000250
 87  A*02:01-B*40:01-C*03:04-DRB1*04:04  USA Italy Ancestry 1.0990273
 88  A*68:01-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 89  A*68:01-B*39:01-C*03:04-DRB1*04:04-DQB1*04:03  Colombia North Chimila Amerindians 1.063847
 90  A*68:01-B*39:05-C*03:04-DRB1*04:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 91  A*68:16-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 92  A*68:01:02-B*35:05-DRB1*04:04-DQB1*03:02  Peru Titikaka Lake Uros 1.0500105
 93  A*31-B*35-DRB1*04:04-DQB1*03:02  Wayu from Guajira Peninsula (Colombia) 1.040048
 94  A*02:01:01-B*35:01:01-DRB1*04:04  Portugal Center 1.000050
 95  A*02:01-B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Ireland South 1.0000250
 96  A*02-B*45-DRB1*04:04-DQA1*03-DQB1*04:02  Morocco 1.000096
 97  A*29:02-B*44:03:01-DRB1*04:04  Portugal South 1.000049
 98  A*68:01-B*51:01-DRB1*04:04  Armenia combined Regions 1.0000100
 99  B*39:01-DRB1*04:04  Taiwan Puyuma 1.000050
 100  B*40:01-C*03:04-DRB1*04:04-DQB1*03:02  Ireland South 1.0000250

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 2,308) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  


   

Allele frequency net 2015 update: new features for HLA epitopes, KIR and disease and HLA adverse drug reaction associations.
Gonzalez-Galarza FF, Takeshita LY, Santos EJ, Kempson F, Maia MH, Silva AL, Silva AL, Ghattaoraya GS, Alfirevic A, Jones AR and Middleton D Nucleic Acid Research 2015, 39, 28, D784-8.
Liverpool, U.K.

support@allelefrequencies.net


Valid XHTML 1.0 Transitional