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 3,093) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 31  

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*35-DRB1*04:04-DQB1*03:02  Bolivia Quechua 6.000069
 12  DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo population 5.9441143
 13  A*02-B*51-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 5.800039
 14  DRB1*04:04-DQB1*03:02  Mexico Oaxaca Mixe 5.800055
 15  DRB1*04:04-DQA1*03-DQB1*03:02  Russia Siberia Negidal 5.700035
 16  DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Guanajuato and Jalisco Mestizo 5.4000101
 17  B*39:01-DRB1*04:04  Taiwan Ami 5.200098
 18  DRB1*04:04-DQA1*03-DQB1*03:02  Argentina Gran Chaco Eastern Toba 5.2000135
 19  A*02:01-B*39:01-DRB1*04:04-DQB1*03:02  USA South Dakota Lakota Sioux 5.1000302
 20  DRB1*04:04-DQB1*03:02  Israel Libyan Jews 5.1000119
 21  DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 4.91201,999
 22  A*24:02-B*35:01-DRB1*04:04-DQB1*03:02  USA South Dakota Lakota Sioux 4.3000302
 23  DRB1*04:04-DQB1*03:02  Mexico Nahua/Aztec Santo Domingo Ocotitlan 4.109673
 24  DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Highlands Mestizos 4.1000160
 25  A*02:06-B*39:02-DRB1*04:04  Mexico Oaxaca Mixe 4.000055
 26  A*02:06-B*39:02-DRB1*04:04  Mexico Oaxaca Zapotec 4.000090
 27  A*02:06-B*39:05-DRB1*04:04  Mexico Oaxaca Zapotec 4.000090
 28  DRB1*04:04-DQA1*03-DQB1*03:02  Russia Siberia Kushun Buryat 4.000025
 29  A*68-B*35-DRB1*04:04-DQB1*03:02  Bolivia La Paz Aymaras 3.930087
 30  DRB1*04:04-DQA1*03:01-DQB1*03:02  USA European American 3.87001,899
 31  A*24:02-B*39:01-C*07:02-DRB1*04:04  Russia Bering Island Aleuts 3.8462104
 32  A*02-B*40-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 3.800039
 33  A*02-B*48-DRB1*04:04-DQB1*03:02  Mexico Sinaloa Capomos Mayo Yoremes 3.333360
 34  A*31:01-B*40:08-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 2.985167
 35  DRB1*04:04-DQA1*03:01/03:02/03:03-DQB1*03:02  Russia Siberia Lower Yenisey Ket 2.900017
 36  DRB1*04:04-DQA1*03-DQB1*03:02  Russia Siberia Khanty Mansi 2.900068
 37  DRB1*04:04-DQB1*03:02-DPB1*04:01  Ireland South 2.9000250
 38  A*02-B*08-DRB1*04:04-DQB1*03:01  Spain Pas Valley 2.700088
 39  DRB1*04:04-DQA1*03:01-DQB1*03:02  USA San Francisco Caucasian 2.7000220
 40  DRB1*04:04-DQB1*03:01-DMB*01:01  Ecuadorean Amerindians 2.666775
 41  DRB1*04:04-DQA1*03-DQB1*03:02  Argentina Gran Chaco Western Toba Pilaga 2.600019
 42  A*24-B*35-DRB1*04:04-DQA1*03-DQB1*03:02  Mexico Mazatecan 2.500089
 43  A*11:01:01-B*50:01:01-C*06:02:01-DRB1*04:04:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 44  B*07:02-C*07:02-DRB1*04:04-DQB1*03:02  Ireland South 2.3000250
 45  A*68:01-B*40:02-C*03:05-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Chichen Itza Maya (prehispanic) 2.127747
 46  A*02:06-B*35:01-DRB1*04:04  Mexico Oaxaca Jamiltepec Mixtec 2.080096
 47  A*02:01-B*40:02-C*03:04-DRB1*04:04-DQA1*03:01-DQB1*03:02  Brazil Puyanawa 2.0000150
 48  DRB1*04:04-DQA1*03:01-DQB1*03:02  Russia Northwest Slavic 2.0000200
 49  DRB1*04:04-DQA1*03-DQB1*03:02  Turkey pop 1 2.0000250
 50  A*24:02-B*48:01-DRB1*04:04  Taiwan Tzu Chi Morrow Donor Registry Aborigine 1.9750233
 51  A*02-B*35-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 1.900039
 52  A*24-B*40-DRB1*04:04-DQA1*03-DQB1*03:02  Colombia Jaidukama 1.900039
 53  A*02-B*35-DRB1*04:04-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.890053
 54  A*02-B*39-DRB1*04:04-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.890053
 55  A*68-B*15-DRB1*04:04-DQB1*03:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.890053
 56  A*02:01:01-B*51:01:01-DRB1*04:04  Bulgaria 1.800055
 57  A*24:02-B*39:05-DRB1*04:04  Mexico Oaxaca Jamiltepec Mixtec 1.800096
 58  DRB1*04:04-DQA1*03:01/03:02-DQB1*04:02  Ethiopia Oromo 1.800083
 59  DRB1*04:04-DRB4*01-DQB1*03:02  Macedonia pop 2 1.800080
 60  A*24:02-B*40:01-DRB1*04:04  Taiwan Tzu Chi Morrow Donor Registry Aborigine 1.7440233
 61  A*31:01-B*27:05-DRB1*04:04  Sweden Southern Sami 1.7000130
 62  DRB1*04:04-DQA1*03:03-DQB1*04:02  South Korea pop 1 1.7000324
 63  A*32:01-B*40:01-DRB1*04:04  Israel Libya Jews 1.68003,739
 64  A*24:14-B*35:01-C*04:01-DRB1*04:04-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Mexico Chiapas Lacandon Mayans 1.6055218
 65  DRB1*04:04-DRB4*01:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Francisco Caucasian 1.6000220
 66  DRB1*04:04-DRB4*01:01-DQA1*03:01-DQB1*03:02-DPB1*04:01  USA San Francisco Caucasian 1.6000220
 67  A*02-B*15-DRB1*04:04-DQB1*03:02  Bolivia La Paz Aymaras 1.592087
 68  A*02-B*35-DRB1*04:04-DQB1*03:02  Bolivia La Paz Aymaras 1.540087
 69  A*02-B*15-DRB1*04:04-DQB1*03:02  Guatemala Mayan 1.5000132
 70  A*24:02-B*51:01-DRB1*04:04  Armenia combined Regions 1.5000100
 71  DRB1*04:04-DQA1*03:01-DQB1*03:02  Australia New South Wales Aborigine 1.5000177
 72  A*02:01:01-B*27:05:02-C*01:02:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 73  A*02:01:01-B*52:01:02-C*15:02:01-DRB1*04:04:01-DQB1*03:02:01-DPA1*03:01:01-DPB1*03:01:01  Brazil Rio de Janeiro Black 1.470668
 74  A*31-B*35-DRB1*04:04-DQB1*03:02  Bolivia Quechua 1.450069
 75  A*30-B*14-DRB1*04:04  South Korea pop 1 1.4000324
 76  A*31:01-B*40:01-DRB1*04:04  Sweden Southern Sami 1.4000130
 77  DRB1*04:04-DQA1*03:01-DQB1*03:02  Slovenia pop 2 1.4000140
 78  DRB1*04:04-DQA1*03:03-DQB1*04:02  South Korea pop 5 1.4000467
 79  DRB1*04:04-DQA1*03:03-DQB1*04:02-DPB1*13:01  South Korea pop 1 1.4000324
 80  DRB1*04:04-DQB1*04:02-DPB1*13:01  South Korea pop 1 1.4000324
 81  A*02:01:01-B*39:02:01-C*03:02:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 1.388972
 82  A*26:01-B*52:01-DRB1*04:04  Israel Bukhara Jews 1.34002,317
 83  A*24:02-B*40:02-C*07:01-DRB1*04:04-DQA1*03:01-DQB1*03:01  Brazil Puyanawa 1.3333150
 84  A*01:01-B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  Ireland South 1.3000250
 85  A*68:01-B*38:01-DRB1*04:04  Azores Oriental Islands 1.300043
 86  B*14:01-C*08:02-DRB1*04:04  South Korea pop 3 1.3000485
 87  B*14:01-DRB1*04:04-DQB1*04:02  South Korea pop 3 1.3000485
 88  DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Nuevo Leon Mestizo 1.300040
 89  DRB1*04:04-DQA1*03:03-DQB1*04:02-DPB1*13:01  South Korea pop 11 1.3000149
 90  DRB1*04:04-DQB1*03:02  Israel Yemenite Jews 1.300076
 91  A*03:01-B*35:01-DRB1*04:04  Gaza 1.282042
 92  A*24:02-B*35:02-DRB1*04:04  Gaza 1.282042
 93  A*24:02-B*39:01-C*07:02-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 1.27031,075
 94  A*03:01-B*07:02-DRB1*04:04  Sweden Southern Sami 1.2000130
 95  A*24:02-B*27:05-DRB1*04:04  Sweden Southern Sami 1.2000130
 96  A*30:04-B*14:01-C*08:02-DRB1*04:04-DQB1*04:02  South Korea pop 3 1.2000485
 97  A*30:04-B*14:01-DRB1*04:04  South Korea pop 3 1.2000485
 98  B*08:01-C*07:01-DRB1*04:04-DQB1*03:02  Ireland South 1.2000250
 99  DRB1*04:04-DQA1*03:01/03:02-DQB1*03:02  Ethiopia Oromo 1.200083
 100  DRB1*04:04-DQA1*03-DQB1*04:02  Russia Siberia Irkutsk Tofalar 1.200043

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 3,093) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 31  


   

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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