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 1,342) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*08:02-DQB1*04:02  Mexico Oaxaca Mixe 28.000055
 2  DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 27.900044
 3  DRB1*08:02-DQA1*04:01-DQB1*04:02  Brazil Central Plateau Xavante 23.000074
 4  DRB1*08:02-DQB1*04:02  Mexico Oaxaca Mixtec 21.6000103
 5  DRB1*08:02-DQB1*04:02  Mexico Oaxaca Zapotec 21.500090
 6  DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 19.0200234
 7  DRB1*08:02-DQA1*04:01-DQB1*04:02  Argentina Gran Chaco Eastern Toba 18.9000135
 8  DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 18.1818143
 9  A*02:01-B*35:12-DRB1*08:02  Mexico Oaxaca Mixe 15.000055
 10  DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Guanajuato and Jalisco Mestizo 14.9000101
 11  DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Highlands Mestizos 13.8000160
 12  A*02:01-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uro 13.5000105
 13  A*02:01-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 13.4500105
 14  DRB1*08:02-DQB1*04:02  USA Alaska Yupik 13.3000252
 15  DRB1*08:02-DQB1*04:02  Mexico Nahua/Aztec Santo Domingo Ocotitlan 10.958973
 16  DRB1*08:02-DQA1*04:01-DQB1*04:02  Argentina Gran Chaco Western Toba Pilaga 10.500019
 17  A*02-B*35-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 10.448087
 18  A*02-B*35-DRB1*08:02-DQB1*04:02  Bolivia Quechua 10.050069
 19  DRB1*08:02-DQB1*04:02  Japan Hokkaido Ainu 10.000050
 20  A*02-B*35-DRB1*08:02-DQB1*04:02  Guatemala Mayan 8.4000132
 21  B*35:01-DRB1*08:02  USA Alaska Yupik 7.7000252
 22  DRB1*08:02:01-DQB1*04:02-DPB1*04:01  Mexico Chihuahua Tarahumara 7.400044
 23  DRB1*08:02-DQA1*03-DQB1*03:02  Russia Siberia Gvaysugi Udege 7.100025
 24  DRB1*08:02-DQA1*05:01-DQB1*04:02  Russia Siberia Chukotka Peninsula Eskimo 6.900080
 25  A*24:02-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 6.8100105
 26  A*24:02-B*35:05-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uro 6.8000105
 27  A*02:01-B*35:17-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 6.770096
 28  A*68:01-B*39:09-DRB1*08:02-DQB1*04:02  Chile Mapuche 6.150066
 29  A*02:01-B*35:17-DRB1*08:02  Mexico Mixtec 6.100097
 30  A*02:01-B*35:12-DRB1*08:02  Mexico Oaxaca Mixtec 6.0000103
 31  A*24:02-B*35:01-DRB1*08:02-DQB1*04:02  USA Alaska Yupik 6.0000252
 32  DRB1*08:02-DQA1*04:01-DQB1*04:02  Russia Siberia Khabarovsk Evenki 6.000025
 33  DRB1*08:02-DQB1*04:02  USA Hispanic pop 2 5.61201,999
 34  A*02-B*48-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 5.187087
 35  A*02:01:01/02:01:09-B*40:05-C*03:04-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 5.100044
 36  DRB1*08:02-DQB1*04:02-DMB*01:01  Ecuadorean Amerindians 5.077575
 37  A*02-B*40-DRB1*08:02-DQB1*04:02  Bolivia Quechua 5.070069
 38  A*24:02-B*35:12-DRB1*08:02  Mexico Oaxaca Mixtec 5.0000103
 39  DRB1*08:02-DQA1*04:01-DQB1*04:02  Canada British Columbia Athabaskan 4.800062
 40  A*31:01:02-B*51:02:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 4.600044
 41  DRB1*08:02-DQA1*04:01-DQB1*04:02  Russia Siberia Chukotka Peninsula Eskimo 4.400080
 42  A*24:02:01-B*35:43:01-C*01:02:01-DRB1*08:02:01  Costa Rica Amerindians (G) 4.3203125
 43  DRB1*08:02-DQA1*04:01-DQB1*04:02  Russia Siberia Negidal 4.300035
 44  A*24-B*35-DRB1*08:02-DQB1*04:02  Guatemala Mayan 4.2000132
 45  DRB1*08:02-DQA1*03-DQB1*03:02  Russia Siberia Ulchi 4.100073
 46  A*02:06-B*35:12-DRB1*08:02  Mexico Oaxaca Mixe 4.000055
 47  B*48:01-DRB1*08:02  USA Alaska Yupik 3.9000252
 48  A*24:02-B*48:01-DRB1*08:02-DQB1*04:02  USA Alaska Yupik 3.8000252
 49  DRB1*08:02-DQA1*04:01-DQB1*04:02  Mexico Nuevo Leon Mestizo 3.800040
 50  DRB1*08:02-DQA1*03:01-DQB1*03:02  China Urumqi Kazak 3.600042
 51  B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 3.4965143
 52  B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 3.4965143
 53  A*02:01:01-B*15:01:01-C*01:02:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 3.472272
 54  A*02-B*39-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 3.426087
 55  A*02:01:01/02:01:09-B*35:01/35:02/35:03-C*03:04-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 56  A*24:02:01-B*40:02-C*03:04-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 57  A*24:02:01-B*48:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:01  Mexico Chihuahua Tarahumara 3.400044
 58  A*68:01-B*51:02:01-C*08:01-DRB1*08:02:01-DQB1*04:02-DPB1*04:02  Mexico Chihuahua Tarahumara 3.400044
 59  A*02:01-B*35:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uro 3.3000105
 60  A*02:01-B*35:01-DRB1*08:02-DQB1*04:02  Peru Titikaka Lake Uros 3.2700105
 61  A*24-B*35-DRB1*08:02-DQB1*04:02  Bolivia Quechua 3.230069
 62  A*02-B*35-DRB1*08:02-DQB1*04:02  Colombia Wayu from Guajira Peninsula 3.130048
 63  A*02:06-B*35:01-DRB1*08:02-DQB1*04:02  USA Alaska Yupik 3.1000252
 64  A*02:06-B*48:01-DRB1*08:02  Mexico Mixtec 3.100097
 65  A*24-B*35-DRB1*08:02-DQB1*04:02  Bolivia La Paz Aymaras 3.085087
 66  A*02:01-B*35:01-DRB1*08:02  Mexico Oaxaca Mixtec 3.0000103
 67  A*02:01-B*35:12-DRB1*08:02  Mexico Oaxaca Zapotec 3.000090
 68  A*02:01-B*51:01-DRB1*08:02  Mexico Oaxaca Mixtec 3.0000103
 69  A*24:02-B*48:01-DRB1*08:02  Mexico Oaxaca Zapotec 3.000090
 70  DRB1*08:02-DQB1*04:02  Sweden Northern Sami 3.0000154
 71  B*35:17-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 2.9900234
 72  DRB1*08:02-DQA1*03-DQB1*03:02  Russia Siberia Negidal 2.900035
 73  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 2.777872
 74  A*02:06-B*48:01-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 2.600096
 75  DRB1*08:02-DQA1*04:01-DQB1*04:02  Russia Siberia Chukotka Peninsula Chukchi 2.600059
 76  A*02-B*35-DRB1*08:02-DQB1*04:02  Mexico Sinaloa Capomos Mayo Yoremes 2.500060
 77  DRB1*08:02-DQA1*03:01-DQB1*03:02  Japan pop 2 2.5000916
 78  A*24-B*35-DRB1*08:02-DQB1*04:02  Peru Lamas City Lama 2.400083
 79  DRB1*08:02-DQA1*04:01-DQB1*03:02  Russia Siberia Gvaysugi Udege 2.400025
 80  DRB1*08:02-DQA1*04:01-DQB1*04:02  Russia Siberia Gvaysugi Udege 2.400025
 81  A*02:01-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Veracruz Xalapa 2.381084
 82  A*34:01-B*40:02-DRB1*08:02  New Zealand Polynesians with Full Ancestry 2.381021
 83  A*02:04-B*35:01:01-C*04:01:01-DRB1*08:02:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 84  A*32:01:01-B*39:09:01-C*07:02:01-DRB1*08:02:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 85  DRB1*08:02-DQA1*03-DQB1*03:02  Russia Tuva Todja 2.300022
 86  DRB1*08:02-DQA1*04:01-DQB1*04:02  Russia Siberia Irkutsk Tofalar 2.300043
 87  DRB1*08:02-DQA1*04:01-DQB1*04:02  Japan pop 2 2.3000916
 88  A*68-B*35-DRB1*08:02-DQB1*04:02  Bolivia Quechua 2.250069
 89  DRB1*08:02-DQB1*04:02  Japan Central 2.2000371
 90  A*02-B*51-DRB1*08:02-DQB1*04:02  Bolivia Quechua 2.170069
 91  A*26:01-B*40:02-DRB1*08:02  Sweden Northern Sami 2.1000154
 92  A*31:01-B*39:05-DRB1*08:02  Mexico Mixtec 2.100097
 93  A*68:03-B*39:08-DRB1*08:02  Mexico Mixtec 2.100097
 94  A*02:01-B*35:12-C*04:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 2.0979143
 95  A*31:01-B*39:05-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 2.080096
 96  A*68:03-B*39:08-DRB1*08:02  Mexico Oaxaca Jamiltepec Mixtec 2.080096
 97  A*24:02:01-B*40:02:01-C*03:05-DRB1*08:02:01-DQB1*04:02:01  Costa Rica Central Valley Mestizo (G) 2.0362221
 98  A*02:01-B*35:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Tlalpan 1.9697330
 99  A*68-B*40-DRB1*08:02-DQB1*04:02  Mexico San Vicente Tancuayalab Teenek/Huastecos 1.890053
 100  A*34:01-B*40:02-DRB1*08:02  New Zealand Polynesians with Admixed History 1.852027

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 1,342) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 14  


   

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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